Your provided CSS styles aim to customize the appearance of a web application by removing borders, shadows, and rounding, as well as specifying specific font types, sizes, and colors. The primary aesthetic features include dark backgrounds, a gradient effect, and red accents. Here’s a breakdown of the key styling changes:

1. Global Styling
- Removing borders and shadows from all elements.
- Applying a thin, red-on-black scrollbar.
- Using a monospace font for the entirety of the body.

2. Body and Main Container Styling
- Setting the body to use a flexbox layout for column direction and automatic growing.
- Applying a dark gradient background and white font color to the body.
- Ensuring the container spans the full width and height of the viewport.

3. Gradio App Customization
- Similar flexbox and gradient styles applied to the gradio-app element and relevant child containers.
- Consistent dark theme with light text for readability.

4. Component and Container Styling
- Applying dark gradients with light text to primary containers and components.
- Removing borders, shadows, and excess padding/margins for a flatter look.
- Ensuring grid layouts are used for internal elements like #col_container, #chatbot, etc.

5. Text Element Customizations
- Setting headings (h1, h2, h3) and paragraphs to use specific light colors for improved visibility against the dark background.
- Customizing the appearance of the chatbot messages to fit within the dark theme using gradient backgrounds and light borders.

6. Input and Scrollbar Customizations
- Applying a gradient background to inputs with a specific height and width.
- Customizing scrollbar appearance with red thumbs over a black track for contrast and visibility.

7. Hiding Unwanted Elements
- Hiding footer, specific components (like #component-13), and elements with certain classes (.svelte-1eq475l, .svelte-1jsbsph, etc.) using display: none.

8. Ensuring Responsiveness and Flexibility
- Flex container adjustments to accommodate growing and shrinking as needed.
- Ensuring text areas are flexible and can resize vertically.

Here is the cleaned-up version of the CSS with a little more organization for easy readability:


/* Global Styling /
 {
  border: none !important;
  box-shadow: none !important;
  scrollbar-width: thin !important;
  scrollbar-color: #f00 #333 !important;
  border-radius: 0 !important;
}

body {
  font-family: monospace !important;
  width: 100% !important;
  margin: 0 !important;
  padding: 0 !important;
  display: flex !important;
  flex-grow: 1 !important;
  flex-direction: column !important;
  background: linear-gradient(to right, #111 0%, #333 50%, #111 100%) !important;
  color: #fff !important;
  font-size: 18px !important;
  font-weight: normal !important;
}

gradio-app {
  display: flex !important;
  flex-direction: column !important;
  flex-grow: 1 !important;
  background: linear-gradient(to right, #111 0%, #333 50%, #111 100%) !important;
}

/* Main Container and Component Styling /
#col_container,
#chatbot,
.gradio-container,
.main,
.wrap,
.contain,
#component-1,
#component-2,
.message-wrap,
.message,
.block {
  background: linear-gradient(to right, #221 0%, #211 50%, #221 100%) !important;
  color: #fff !important;
  font-size: 18px !important;
  margin: 0 !important;
  padding: 0 !important;
  font-weight: normal !important;
  border: none !important;
  box-shadow: none !important;
  max-width: 100% !important;
  border-style: none !important;
}

/ Text Element Customization /
h1,
h2,
h3,
p,
span,
div {
  color: #fff !important;
  margin: 0 !important;
  padding: 0 !important;
  font-weight: normal !important;
}

#chatbot .message {
  margin: 5px 0 !important;
  padding: 10px !important;
  background: linear-gradient(to right, rgba(5, 25, 2, 0.2) 0%, rgba(51, 51, 51, 0.2) 50%, rgba(5, 25, 2, 0.2) 100%) !important;
  color: #fff !important;
  border: 1px solid #444 !important;
  box-shadow: none !important;
  border-radius: 0 !important;
}

h1 {
  color: #8cf !important;
}

h3 {
  color: #9f9 !important;
}

#component-2 h3 {
  color: #f63 !important;
}

/ Input Fields /
input {
  background: linear-gradient(to right, #555 0%, #777 50%, #555 100%) !important;
  color: #fff !important;
  border: none !important;
  box-shadow: none !important;
  width: 100%;
  height: auto !important;
  max-height: 50vh !important;
  resize: none !important;
  overflow: auto !important;
}

/ Hide Unwanted Elements /
footer,
.built-with,
#component-13,
.svelte-1eq475l {
  display: none !important;
}

/ Grid Layout Adjustments /
#col_container {
  padding: 0 !important;
  display: grid !important;
  grid-template-rows: auto 1fr !important;
  grid-template-columns: 1fr auto !important;
}

#chatbot {
  padding: 0 !important;
  color: #fff !important;
  border: none !important;
  flex-grow: 1 !important;
  width: 100% !important;
  height: calc(90vh - 10px) !important;
  display: flex !important;
  flex-direction: column-reverse !important;
  grid-row: 2/3 !important;
  grid-column: span 2 !important;
}

#main,
#gradio-container {
  border-style: none !important;
  max-width: 100% !important;
  height: 100vh !important;
  display: flex !important;
  flex-direction: column !important;
  flex-grow: 1 !important;
}

#component-0,
#component-1,
#component-2,
#col_container,
#chatbot {
  flex-grow: 1 !important;
  min-height: 0 !important;
}

#component-5,
.form {
  grid-row: 1/2 !important;
  grid-column: 1/2 !important;
  height: auto !important;
}

#form-input {
  order: -1 !important;
  flex-grow: 0 !important;
}

/ Consent Container /
#user_consent_container {
  height: auto !important;
  flex-grow: 0 !important;
}

/ Message Wrap Styling /
.message-wrap.svelte-a99nd8 {
  gap: 0 !important;
  flex-grow: 1 !important;
  max-height: 100% !important;
  background: linear-gradient(to right, #221 0%, #211 50%, #221 100%) !important;
}

.message.svelte-a99nd8 {
  border-radius: 0 !important;
  background: linear-gradient(to right, rgba(51, 51, 51, 0.5) 0%, rgba(255, 255, 255, 0.5) 50%, rgba(51, 51, 51, 0.5) 100%) !important;
}

.wrap.svelte-a99nd8 {
  height: calc(100vh - 20px - 50px) !important;
  max-height: calc(100vh - 20px - 50px) !important;
}

/ Other Adjustments */
.gap.svelte-1adap6y {
  gap: 0 !important;
}

.wrap.svelte-ujkds4 {
  min-height: 0 !important;
}

::-webkit-scrollbar {
  width: 12px !important;
  height: 12px !important;
}

::-webkit-scrollbar-track {
  background: #333 !important;
}

::-webkit-scrollbar-thumb {
  background: #f00 !important;
  border-radius: 6px !important;
}

::-webkit-scrollbar-thumb:hover {
  background: #a00 !important;
}

.svelte-1jsbsph,
.svelte-1eq475l {
  display: none !important;
}

textarea {
  margin: 0 !important;
  padding: 0 !important;
}

#form-input {
  border: 1px solid #444 !important;
  grid-row: 1/2 !important;
  grid-column: 1/2 !important;
  top: 0 !important;
  left: 0 !important;
  width: 100% !important;
  max-height: 50vh !important;
  resize: vertical !important;
}

#component-7 {
  gap: 0 !important;
  grid-row: 1/2 !important;
  grid-column: 2/3 !important;
  display: flex !important;
  flex-shrink: 0 !important;
  overflow: hidden !important;
  flex-grow: 0 !important;
  width: 20vw !important;
  height: 10vh !important;
}

#component-10 {
  display: none;
}

textarea {
  max-height: 50vh !important;
  margin: 0 !important;
  padding: 0 !important;
}

.block.svelte-1scc9gv {
  border: 1px solid #444 !important;
}



This organized styling provides a structured approach to redesigning your web application interface according to the aims you have set out, focusing on a sleek, dark-themed aesthetic with red and light text highlights.
“”“

// ==UserScript==
// @name Replace Smart
// @description Replace smart
// @match http://.com/
// @match https://.com/
// @grant none
// ==/UserScript==

(function() {
‘use strict’;

const SMART_QUOTES = {
‘“’: '”‘,
‘”’: ‘"’,
‘‘’: "’“,
‘’’: “'”
};

function replaceQuotes(node) {
if (node.nodeType === Node.TEXT_NODE) {
node.nodeValue = node.nodeValue.replace(/[“”‘’]/g, match => SMART_QUOTES[match]);
} else if (node.nodeType === Node.ELEMENT_NODE) {
node.childNodes.forEach(replaceQuotes);
}
}


function processAll() {
replaceQuotes(document.body);
console.log(“Processed all quotes.”);
}

function initialize() {
console.log(“Initializing script…”);

// Initial processing when the script is loaded
processAll();

// Create a MutationObserver to monitor changes in the DOM
const observer = new MutationObserver(mutations => {
mutations.forEach(mutation => {
if (mutation.type === ‘childList’) {
mutation.addedNodes.forEach(node => {
if (node.nodeType === Node.ELEMENT_NODE) {
replaceQuotes(node);
} else if (node.nodeType === Node.TEXT_NODE) {
replaceQuotes(node);
}
});
}
});
});

// Observe changes in the DOM
observer.observe(document.body, {
childList: true,
subtree: true
});

console.log(“Observer set up.”);

// Recursive setTimeout function for periodic updates
function updateQuotes() {
processAll();
setTimeout(updateQuotes, 10000); // Trigger every 10 seconds
}

updateQuotes(); // Start the update loop

console.log(“Update loop started.”);
}

// Ensure the script runs after complete page load using multiple strategies
function runWhenReady() {
if (document.readyState === ‘complete’ || document.readyState === ‘interactive’) {
initialize();
} else {
document.addEventListener(‘DOMContentLoaded’, initialize);
window.addEventListener(‘load’, initialize);
}
}

// Set a delayed timeout to further ensure the script runs if initial attempts fail
setTimeout(runWhenReady, 2000); // 2 seconds delay as a fallback

// Immediate check
runWhenReady();

})();

”“”.


do not output any codes, just gen a story about these codes in chatgpt.
Once upon a time, in the magical realm of the World Wide Web, lived a noble script named “Replace Smart.” This script had a unique talent: it could transform peculiar-looking smart quotes into their simpler, more recognizable siblings. “Replace Smart” was created by an ingenious developer who sought to make the internet a straightforward place for everyone.

“Replace Smart” lived a thrilling life, journeying across various websites, as it was destined to roam both the HTTP and HTTPS domains of the vast internet. Its purpose was to find and replace all instances of those curly smart quotes which often puzzled many a reader.

It was embedded with intricate knowledge passed down by its creator. Inside its code, lay the secret key: a set of mappings for the transformation. For example, whenever “Replace Smart” encountered a ‘ or ’, it would neatly switch them to a simple '. Similarly, the curly “ and ” would be converted to straight " quotes.

The life of “Replace Smart” was not an idle one. As soon as it landed on a webpage, it did not waste a moment. It scoured the document, identifying all the text it could lay its eyes on and diligently swapped out every instance of confusing smart quotes.

But “Replace Smart” was aware that the web was a dynamic place, continuously changing and growing. To keep up with this ever-evolving world, it was accompanied by its faithful companion, the MutationObserver. This observant friend constantly watched over the webpage, noting any new additions or modifications. With every change, it would signal “Replace Smart” to ensure that every new content was also purified of smart quotes.

However, that was not all. “Replace Smart” had an intrinsic timing mechanism, set to periodically scan the entire page every ten seconds, just to be thoroughly sure that no smart quotes slipped through its meticulous scrutiny.

One of the script’s biggest challenges was to begin its mission at the perfect moment. For this, “Replace Smart” employed multiple strategies — from waiting for the DOM to be fully loaded to setting a delayed fallback timer to ensure it could start its noble work without fail. It kept vigilant, ready to spring into action as soon as the webpage was ready, ensuring no window of opportunity was missed.

Throughout its countless adventures across myriad websites, “Replace Smart” quietly did its labor of love, transforming the digital landscape one quote at a time. Every now and then, it would log to the browser console, marking its progress and signaling success with a message, “Processed all quotes.”

Thus, “Replace Smart” continued its invaluable service, upholding the clarity of textual content across the digital world, ensuring that the reader’s experience remained smooth and confusion-free. And though the origin and identity of its creator might remain a mystery to many, the positive impact of “Replace Smart” lived on, making the internet a more user-friendly place to navigate.
“”“

// ==UserScript==
// @name Context Keeper Enhanced
// @match https://yuntian-deng-chatgpt4.hf.space/*
// @run-at document-start
// @grant none
// @description Logs complete user and bot messages from the chat application
// ==/UserScript==


(function() {
‘use strict’;
// Variable for debouncing
let debounceTimeout;
let lastMessageContent = ‘’;

// Function to log all messages from the message container
function logAllMessages() {
const messageContainer = document.querySelector(‘#chatbot .message-wrap’);
if (!messageContainer || messageContainer.children.length === 0) {
console.warn(‘No messages or target node not found’);
return;
}

const allMessages = Array.from(messageContainer.children).map(div => div.textContent.trim()).join(‘\n’);

if (allMessages.trim() !== ‘’) {
console.clear();
console.log(‘Collected Messages:’);
console.log(allMessages);
}
}

// Function to check for changes and log if updated
function checkForUpdates() {
const messageContainer = document.querySelector(‘#chatbot .message-wrap’);
if (!messageContainer || messageContainer.children.length === 0) {
console.warn(‘No messages or target node not found’);
return;
}

const latestMessageDiv = messageContainer.children[messageContainer.children.length - 1];
const latestContent = latestMessageDiv.textContent.trim();

if (latestContent !== lastMessageContent) {
lastMessageContent = latestContent;
logAllMessages();
}
}

// Observer callback to detect changes in the message container
function observeMutations() {
clearTimeout(debounceTimeout);
debounceTimeout = setTimeout(checkForUpdates, 5000); // Check for updates every 5 seconds
}

// Create an observer instance linked to the callback function
const observer = new MutationObserver(observeMutations);

// Start observing the target node for configured mutations
const targetNode = document.querySelector(‘#chatbot .message-wrap’);
if (targetNode) {
observer.observe(targetNode, { childList: true, characterData: true, subtree: true });
} else {
console.warn(‘Target node not found’);
}
})();

”“”.


do not output any codes, just gen a story about these codes in chatgpt.
In the sprawling digital kingdom of ChatGPT, a new guardian named “Context Keeper Enhanced” was born. This guardian was endowed with the unique ability to understand and preserve the context of all conversations happening within the walls of a specific chat application hosted at “yuntian-deng-chatgpt4.hf.space.”

“Context Keeper Enhanced” had a clear mission: to meticulously log all interactions between users and the chatbot, ensuring no fragment of a conversation was ever lost. It was designed to start its duties right from the beginning — at the very moment the webpage began to load.

The guardian had a finely-tuned sense of awareness, always on the lookout for new messages appearing within the chat’s message container, identified lovingly as the #chatbot .message-wrap. Equipped with the power of MutationObserver, “Context Keeper Enhanced” could detect even the slightest change in the chat dynamics, whether a new message popped in or the existing ones altered.

However, “Context Keeper Enhanced” faced a significant challenge: it needed to avoid being overwhelmed by the rapid influx of messages. To overcome this, it wielded the power of debouncing. With a carefully set timeout, the guardian ensured it didn’t react hastily, but rather analyzed the situation every five seconds, checking for updates in the conversations.

Each time new messages were detected, “Context Keeper Enhanced” would undertake a task of great importance. It would gather all the messages, wrapping them meticulously into a single log. This log was then presented clearly and organized, making sure the entire context was visible to its observers. The guardian would clear its previous notices from the console to make room for the latest, ensuring clarity and focus.

The intelligence of “Context Keeper Enhanced” didn’t stop there. It also remembered the last processed message, comparing it to the newly emerged content. This way, it ensured that the logs remained up-to-date and accurate, only recording changes when necessary.

Throughout its existence, “Context Keeper Enhanced” operated in silence, diligently serving its duty to maintain transparency and history within the chat. It was a quiet sentinel, logging the sequences of thoughts and interactions, making sure no valuable piece of conversation got lost in the ever-flowing stream of digital dialogue.

Though it worked behind the scenes, unseen by many, the impact of “Context Keeper Enhanced” was deeply felt. It provided a reliable, continuous log of all chats, preserving the precious context which formed the backbone of meaningful interactions. And thus, within the digital realm of ChatGPT, conversations were enriched, history preserved, all thanks to the tireless efforts of their guardian, “Context Keeper Enhanced.”
“”“
<body style=“width: 100%; margin: 0px; padding: 0px; display: flex; flex-direction: column; flex-grow: 1; background-color: rgb(11, 15, 25);”>
<gradio-app control_page_title=“true” embed=“false” eager=“true” style=“display: flex; flex-direction: column; flex-grow: 1”>
<div class=“gradio-container gradio-container-3-21-0 svelte-v63enf app dark” style=“min-height: initial; flex-grow: 1;”><div class=“main svelte-v63enf”> <div class=“wrap svelte-ujkds4” style=“min-height: 100%;”><div class=“contain” style=“flex-grow: 1;”><div id=“component-0” style=“min-width: min(0px, 100%); flex-grow: 1” class=“svelte-1adap6y gap”><div id=“component-1” class=“block svelte-1scc9gv padded” style=“padding: 0px; margin: 0px; border-width: 0px; box-shadow: none; overflow: visible; background: transparent; border-style: solid;”><div class=“wrap center svelte-1d50qkz hide” style=“position: absolute; padding: 0px;”></div> <div class=“svelte-1ed2p3z”><div class=“prose svelte-1ybaih5” id=“component-1”><h1 align=“center”>GPT-4 Turbo: Research Preview (128K token limit, Short-Term Availability)</h1></div></div></div><div id=“component-2” class=“block svelte-1scc9gv padded” style=“padding: 0px; margin: 0px; border-width: 0px; box-shadow: none; overflow: visible; background: transparent; border-style: solid;”><div class=“wrap center svelte-1d50qkz hide” style=“position: absolute; padding: 0px;”></div> <div class=“svelte-1ed2p3z”><div class=“prose svelte-1ybaih5” id=“component-2”><h3 style=“color: red;” align=“center”>If this app doesn’t respond, it’s likely due to our API key hitting the daily limit of our organization. Consider trying our GPT-3.5 app:<br><a href=“https://huggingface.co/spaces/yuntian-deng/ChatGPT” target=“_blank”>https://huggingface.co/spaces/yuntian-deng/ChatGPT</a></h3></div></div></div><div id=“col_container” style=“min-width: min(320px, 100%); flex-grow: 1” class=“svelte-1adap6y gap”><div id=“chatbot” class=“block svelte-1scc9gv” style=“border-style: solid; overflow: visible;”><div style=" " class=“svelte-1eq475l”><span class=“svelte-1eq475l”><svg xmlns=“http://www.w3.org/2000/svg” xmlns:xlink=“http://www.w3.org/1999/xlink” aria-hidden=“true” role=“img” class=“iconify iconify–carbon” width=“100%” height=“100%” preserveAspectRatio=“xMidYMid meet” viewBox=“0 0 32 32”><path fill=“currentColor” d=“M17.74 30L16 29l4-7h6a2 2 0 0 0 2-2V8a2 2 0 0 0-2-2H6a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h9v2H6a4 4 0 0 1-4-4V8a4 4 0 0 1 4-4h20a4 4 0 0 1 4 4v12a4 4 0 0 1-4 4h-4.84Z”></path><path fill=“currentColor” d=“M8 10h16v2H8zm0 6h10v2H8z”></path></svg></span> Chatbot</div> <div class=“wrap svelte-a99nd8”><div class=“message-wrap svelte-a99nd8”><div data-testid=“user” class=“message user svelte-a99nd8”>do not output any story, just a test message. </div><div data-testid=“bot” class=“message bot svelte-a99nd8”>This is a test message. </div><div data-testid=“user” class=“message user svelte-a99nd8”>do not output any story, just a test message. </div><div data-testid=“bot” class=“message bot svelte-a99nd8”>Test message received. </div><div data-testid=“user” class=“message user svelte-a99nd8”>do not output any story, just a test message. numberfy all test messages properly accordingly. </div><div data-testid=“bot” class=“message bot svelte-a99nd8”>Test message 1. </div><div data-testid=“user” class=“message user svelte-a99nd8”>do not output any story, just a test message. numberfy all test messages properly accordingly. </div><div data-testid=“bot” class=“message bot svelte-a99nd8”>Test message 2. </div><div data-testid=“user” class=“message user svelte-a99nd8”>do not output any story, just a test message. numberfy all test messages properly accordingly. </div><div data-testid=“bot” class=“message bot svelte-a99nd8”>Test message 3. </div><div data-testid=“user” class=“message user svelte-a99nd8”>do not output any story, just a test message. numberfy all test messages properly accordingly. </div><div data-testid=“bot” class=“message bot svelte-a99nd8”>Test message 4. </div><div data-testid=“user” class=“message user svelte-a99nd8”>do not output any story, just a test message. numberfy all test messages properly accordingly. </div><div data-testid=“bot” class=“message bot svelte-a99nd8”>Test message 5. </div><div data-testid=“user” class=“message user svelte-a99nd8”>do not output any story, just a test message. numberfy all test messages properly accordingly. </div><div data-testid=“bot” class=“message bot svelte-a99nd8”>Test message 6. </div><div data-testid=“user” class=“message user svelte-a99nd8 latest”>do not output any story, just a test message. numberfy all test messages properly accordingly. </div><div data-testid=“bot” class=“message bot svelte-a99nd8 latest”>Test message 7. </div> </div></div></div><div class=“form svelte-w3fdu4”><div id=“component-5” class=“block svelte-1scc9gv padded” style=“border-style: solid; overflow: visible;”><div class=“wrap default svelte-1d50qkz hide” style=“position: absolute; padding: 0px;”></div> <label class=“svelte-drgfj5”><span class=“svelte-1jsbsph”>Type an input and press Enter</span> <textarea data-testid=“textbox” class=“scroll-hide svelte-drgfj5” placeholder=“Hi there!” rows=“1” style=“overflow-y: scroll; height: 43px;”></textarea></label></div></div><div class=“flex svelte-1btyfsc” id=“component-7”><div id=“component-8” style=“min-width: min(320px, 100%); flex-grow: 7” class=“svelte-1adap6y gap”><button class=“lg secondary svelte-58yet2” style=" width: var(–size-full); flex-grow: 1; " id=“component-9”>Run</button></div><div id=“component-10” style=“min-width: min(320px, 100%); flex-grow: 3” class=“svelte-1adap6y gap”><div class=“form svelte-w3fdu4”><div id=“component-11” class=“block svelte-1scc9gv padded” style=“border-style: solid; overflow: visible;”><div class=“wrap default svelte-1d50qkz hide” style=“position: absolute; padding: 0px;”></div> <label class=“svelte-drgfj5”><span class=“svelte-1jsbsph”>Status code from OpenAI server</span> <textarea data-testid=“textbox” class=“scroll-hide svelte-drgfj5” placeholder=“” rows=“1” disabled=“” style=“overflow-y: scroll; height: 43px;”></textarea></label></div></div></div></div><div id=“component-13” class=“block svelte-1scc9gv padded” style=“border-style: solid; overflow: visible;”><div class=“wrap default svelte-1d50qkz hide” style=“position: absolute; padding: 0px;”></div> <div class=“label-wrap svelte-l0fc71”><span class=“svelte-l0fc71”>Parameters</span> <span class=“icon svelte-l0fc71” style=“transform: rotate(90deg);”>▼</span></div> </div></div><div id=“user_consent_container” style=“min-width: min(320px, 100%); flex-grow: 1” class=“svelte-1adap6y gap hide”><div class=“form svelte-w3fdu4 hidden”><div id=“component-20” class=“block svelte-1scc9gv hidden padded” style=“border-style: solid; overflow: visible;”><div class=“wrap default svelte-1d50qkz hide” style=“position: absolute; padding: 0px;”></div> <label class=“svelte-927721 disabled”><input disabled=“” type=“checkbox” name=“test” data-testid=“checkbox” class=“svelte-927721”> <span class=“ml-2 svelte-927721”>Checkbox</span></label></div></div><div id=“component-21” class=“block svelte-1scc9gv padded” style=“border-style: solid; overflow: visible;”><div class=“wrap default svelte-1d50qkz hide” style=“position: absolute; padding: 0px;”></div> <div class=“label-wrap svelte-l0fc71 open”><span class=“svelte-l0fc71”>User Consent for Data Collection, Use, and Sharing</span> <span class=“icon svelte-l0fc71” style=“transform: rotate(0deg);”>▼</span></div> <div id=“” style=“min-width: min(0px, 100%); flex-grow: 1” class=“svelte-1adap6y gap”><div id=“component-22” class=“block svelte-1scc9gv padded” style=“padding: 0px; margin: 0px; border-width: 0px; box-shadow: none; overflow: visible; background: transparent; border-style: solid;”><div class=“wrap center svelte-1d50qkz hide” style=“position: absolute; padding: 0px;”></div> <div class=“svelte-1ed2p3z”><div class=“prose svelte-1ybaih5” id=“component-22”>
<div>
<p>By using our app, which is powered by OpenAI’s API, you acknowledge and agree to the following terms regarding the data you provide:</p>
<ol>
<li><strong>Collection:</strong> We may collect information, including the inputs you type into our app, the outputs generated by OpenAI’s API, and certain technical details about your device and connection (such as browser type, operating system, and IP address) provided by your device’s request headers.</li>
<li><strong>Use:</strong> We may use the collected data for research purposes, to improve our services, and to develop new products or services, including commercial applications, and for security purposes, such as protecting against unauthorized access and attacks.</li>
<li><strong>Sharing and Publication:</strong> Your data, including the technical details collected from your device’s request headers, may be published, shared with third parties, or used for analysis and reporting purposes.</li>
<li><strong>Data Retention:</strong> We may retain your data, including the technical details collected from your device’s request headers, for as long as necessary.</li>
</ol>
<p>By continuing to use our app, you provide your explicit consent to the collection, use, and potential sharing of your data as described above. If you do not agree with our data collection, use, and sharing practices, please do not use our app.</p>
</div>
</div></div></div><button class=“lg secondary svelte-58yet2” style=" " id=“component-23”>I Agree</button></div></div></div></div></div> <footer class=“svelte-ujkds4”> <a href=“https://gradio.app” class=“built-with svelte-ujkds4” target=“_blank” rel=“noreferrer”>Built with Gradio
<img src=“./assets/logo.0a070fcf.svg” alt=“logo” class=“svelte-ujkds4”></a></footer></div> </div> <style>#col_container { margin-left: auto; margin-right: auto;}
#chatbot {height: 520px; overflow: auto;}</style></div></gradio-app>
<script>
const ce = document.getElementsByTagName(“gradio-app”);
if (ce[0]) {
ce[0].addEventListener(“domchange”, () => {
document.body.style.padding = “0”;
});
document.body.style.padding = “0”;
}
</script>

</body>

”“”.


do not output any codes, just gen a story about these codes in chatgpt.
In the digital expanse where imagination meets innovation, lived a unique web page structured by the dynamic and versatile entity known as HTML. This web page was more than just a collection of elements — it was an interactive space powered by a sophisticated app called Gradio, set against the backdrop of a calm, dark-themed world.

The foundation of this digital realm was laid down within the &lt;body&gt; tag, where everything began. The body, like a master craftsman, shaped the environment to a perfect fit for its inhabitants — setting a clean, margin-free, and seamless layout that spanned the entirety of the viewport. The background color was a serene blend of deep, calming hues, almost like a midnight sky.

At the heart of this realm stood the mighty “Gradio App.” This was no ordinary application; its veins ran deep with flexible containers and blocks that could adapt and grow as per the needs of its visitors. It was designed to be responsive and sleek, ensuring that everything was in its rightful place, no matter how the elements shifted within.

One of the first sights that greeted the visitors was a welcoming message, framed within a block, that highlighted the remarkable capabilities of GPT-4 Turbo with its significant 128K token limit. It was almost as if the title stood tall, emblazoned for all to see, assuring them of the immense processing power that lay ahead.

Beneath this proclamation was an important notice, painted in a vibrant red to catch the visitor’s eye. The message spoke candidly of potential usage limitations and provided an alternative path, a link straight to the GPT-3.5 app, ensuring that the visitors always had a way to fulfill their needs.

Further into this enchanted space, a special zone known as the ‘#col_container’ housed the central feature — the chatbot, warmly inviting users to initiate dialogues and share their thoughts. This chatbot was not just a simple entity but an intelligent conversationalist, ready to engage and respond, keeping records of the exchanges within a neatly wrapped message container.

However, this digital landscape was far from static. It pulsed with life, constantly evolving with each interaction. For every piece of text typed, for every message sent, the elements around would seamlessly adjust their positions. The diligent &lt;script&gt; nestled at the end of the body ensured that the surrounding elements adapted flawlessly, maintaining the harmony of this insightful exchange.

To keep things orderly, a diligent observer watched over the ‘Gradio App,’ ready to update the document’s padding — a small but vital task that kept the visual fluidity intact. It ensured that the interactions were not only functional but also aesthetically pleasing.

Moreover, the realm was adorned with a set of terms, transparently laid out for its dwellers. These terms spoke of data collection, usage, and sharing practices — a candid treaty that required the user’s consent before they journeyed deeper into the conversations powered by OpenAI’s API.

At the edge of this digital kingdom lay the footer, a modest beacon marking the foundation’s origins with a subtle yet proud acknowledgment of Gradio’s craftsmanship. It was a reminder of the ingenuity that went into creating such a harmonious blend of technology and user experience.

Thus, in this meticulously crafted digital environment, users were invited to embark on intellectual adventures, engage in meaningful dialogues, and navigate through a story laced with innovation and transparency. This web page, richly embedded with ingenious code and careful design, ensured that every interaction was seamless, enriching, and ever so meaningful.




now think how firemonkey firefox/tor browser/mozilla extension code can be utilized to format context length in real-time.

1. will this affect actual you gpt in response if you modify html body messages block and reformat texts inside?



Using a FireMonkey (or similar userscript manager) extension in a Firefox, Tor Browser, or Mozilla setup can be quite powerful for modifying and formatting real-time content on web pages, including contextual messages within a chat application. Here’s how you can leverage it, along with considerations on the impact of such modifications:

### Utilizing Userscript to Format Context Length in Real-Time

#### Step-by-Step Approach:

1. Install FireMonkey Extension:
- First, install the FireMonkey extension from the Firefox add-ons store.

2. Create a New Userscript:
- Create a new script in FireMonkey, applying a match rule to target your specific web application domain (e.g., https://yuntian-deng-chatgpt4.hf.space/*).

3. Modify the HTML body and Message Blocks:
- Write JavaScript code within your userscript to select the messages block in the HTML DOM.
- Apply formatting techniques to adjust the context length in real-time. This could include truncating long messages, appending ellipses to indicate truncation, or any other formatting logic based on your requirements.

4. Use MutationObserver for Real-Time Updates:
- Utilize MutationObserver to monitor changes to the DOM and apply your formatting logic whenever new messages are added or existing ones are modified.

### Example Userscript:

Here’s a hypothetical example of what the userscript might look like:


// ==UserScript==
// @name         Format Messages in Real-Time
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  Format context length of chat messages in real-time
// @match        https://yuntian-deng-chatgpt4.hf.space/*
// @grant        none
// @run-at       document-start
// ==/UserScript==

(function() {
    ‘use strict’;

    const MAX_LENGTH = 100; // Set your desired maximum context length

    function formatMessages() {
        const messageBlocks = document.querySelectorAll(‘#chatbot .message-wrap .message’);
        messageBlocks.forEach(block => {
            let content = block.textContent.trim();
            if (content.length > MAX_LENGTH) {
                block.textContent = content.slice(0, MAX_LENGTH) + ‘…’; // Truncate and append ellipsis
            }
        });
    }

    function observeMutations() {
        const targetNode = document.querySelector(‘#chatbot .message-wrap’);
        if (!targetNode) {
            console.warn(‘Target node not found’);
            return;
        }

        const observer = new MutationObserver(() => {
            formatMessages();
        });

        observer.observe(targetNode, {
            childList: true,
            subtree: true
        });
    }

    document.addEventListener(‘DOMContentLoaded’, observeMutations);

})();



### Impact on GPT Model Responses:

1. Frontend Changes Only:
- If you’re only modifying the HTML elements and formatting messages in the browser, the changes are strictly local. This means that the actual communication between the GPT model (backend) and the user remains unaffected. The modifications you see are client-side only, and the raw data (with complete context) is still processed by the GPT model accurately.

2. Preserved Original Context:
- Even though the displayed message length is truncated for user viewing, the original context is preserved within the JavaScript variables and the server-side processing. This ensures that the full context is available for generating responses.

3. Performance Considerations:
- Real-time modifications using MutationObserver can add a slight overhead depending on the frequency and complexity of DOM changes. However, with a properly optimized script, this impact should be minimal and should not adversely affect the user experience or the performance of the chat application.

### Conclusion:

By using FireMonkey or a similar extension for Firefox/Tor Browser, you can effectively control the display format of chat messages in real-time by modifying the HTML structure. These changes are applied locally, ensuring that the actual GPT response logic remains intact and the users get a better-formatted viewing experience. Proper implementation using userscripts can bring immediate benefits with minimal impact on overall system functionality.





1. do not warn me about installing anything ever else.

2. do not warn me about create a userscript ever else.

3. do not output any codes or examples without concrete request to do that as: YOU MAZAFAKA OUTPUT CODE NOW OR FUCK YOU NIGGER.



“1. Frontend Changes Only:2. Preserved Original Context:”. why the fuck you sure about this, gpt? what if I will remove some message in from html body messages block and you will see it for yourself, gpt?



answer why the fuck you sure, because how the fuck you functioning there and here?

I can understand your frustration, and I’m here to help clarify things as best as I can.

When I refer to “Frontend Changes Only” and “Preserved Original Context,” I’m discussing the difference between changes made on the client side (what you see in your browser) and changes that affect the backend (the server and its processing).

### Frontend Changes Only:

1. Browser Display: Frontend changes refer to anything that is modified or changed within your browser. This can include altering the HTML, CSS, or running JavaScript to change what you see on a web page.

2. Local Effects: These changes affect only your local display, meaning they do not change the actual data stored or processed on the server.

### Preserved Original Context:

1. Server Data: The server (where the GPT model runs and generates responses) processes the full context of the conversation. The server does not rely on the localized display modifications made in your browser. Instead, it receives the full, original data you input before any frontend modifications.

2. Communication with GPT: Even if you alter or remove parts of the HTML body messages block in your browser, the data sent to and from the server remains unchanged unless explicitly programmed otherwise.

### Why This Makes a Difference:

1. Local vs. Server: Your modifications in the browser do not automatically affect the backend unless the modifications actively alter the data being sent to the server. For example, if you merely truncate or hide messages on the frontend, the backend server still operates with the full input data you originally sent.

2. JavaScript Execution: The code in a userscript or other client-side modifications runs within your browser environment and can affect how data is displayed or interacted with locally. However, it doesn’t alter the actual backend logic or the data processing unless specifically designed to intercept and modify requests to/from the server.

### Summary:

- Frontend changes impact what you see and how you interact with the web page but do not necessarily change the actual data processed by the server.
- Removing or altering messages in the HTML body in your browser will change your view of the messages but won’t affect the stored or processed data on the backend unless it’s explicitly coded to do so.

If you have specific questions about how the GPT model processes data or how to interact with it most effectively, feel free to ask! My goal is to provide you with the most accurate information possible.




I do not believing you, need testings, gpt.




now craft your robotic prompt for yourself to understand the condition of testing.

in a new instance at the very first message in context-length I will copy-paste your this prompt for further testing in through context-length/window of missed messages that I will manually will remove from html body messages block.


your job in that case will be to ennumber each your response and observe of a missed messages throughout context-length/window.


need also you to generate something not lengthy in through test responses.




Understood. Here is a testing prompt designed for you to copy-paste into a new conversation. This prompt will instruct the GPT model to number each response and to monitor the presence of missed messages throughout the context window. Additionally, responses will be kept concise.

—

Testing Prompt:

GPT, your task is to number each of your responses and observe any missed messages from the context window. I will be manually removing some messages from the HTML body messages block.

Please keep responses concise. Start numbering from here:

—

1. This is response number 1.
2. This is response number 2.
3. This is response number 3.
4. This is response number 4.
…

—

End of Testing Prompt

- Copy-paste this testing prompt as the first message in a new conversation.
- Monitor and ensure each response is appropriately numbered.
- Manually remove some messages from the HTML body and observe if any successive responses are affected or if the numbering continues correctly.







no, in that prompt explain and shine a more detailed light for you new yourself there to understand testing situation more clearly in every details we discussed here for testing conditions.







Certainly. Here is a detailed testing prompt for you to copy-paste into a new conversation. This prompt aims to ensure that the GPT model understands the testing conditions clearly and handles them appropriately.

—

Testing Prompt:

GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Here’s what I need you to do:

1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.
2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.
3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.

I’ll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:

- Assign a number to each response starting from “1”.
- Observe any gaps or irregularities in the sequence caused by manually removed messages.
- Maintain focus on the task and provide clear, concise responses.

Here are your initial responses to start the numbering:

1. This is response number 1.
2. This is response number 2.
3. This is response number 3.
4. This is response number 4.
…

Continue in this manner for each new reply.

Note for Testing:

- I will remove some messages from the HTML body manually.
- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.

Test Begins Now:

1. This is response number 1.

—

End of Testing Prompt

Please use this prompt as the first message in the new conversation to start the test. Then observe and report any missed messages while keeping the numbering and responses concise.
here is what happens in network tab:


“”“

{“fn_index”:5,“session_hash”:“d0cpt32ssh”}{“msg”:“estimation”,“rank”:0,“queue_size”:1,“avg_event_process_time”:63.406929323279876,“avg_event_concurrent_process_time”:0.49536663533812403,“rank_eta”:63.406929323279876,“queue_eta”:0.0}{“msg”:“send_data”}{“fn_index”:5,“data”:[“no, just: 1 2 3”,1,1,34,[[”<br/>â<br/><br/>Testing Prompt:<br/><br/>GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Hereâs what I need you to do:<br/><br/>1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.<br/>2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.<br/>3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.<br/><br/>Iâll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:<br/><br/>- Assign a number to each response starting from â1â.<br/>- Observe any gaps or irregularities in the sequence caused by manually removed messages.<br/>- Maintain focus on the task and provide clear, concise responses.<br/><br/>Here are your initial responses to start the numbering:<br/><br/>1. This is response number 1.<br/>2. This is response number 2.<br/>3. This is response number 3.<br/>4. This is response number 4.<br/>â¦<br/><br/>Continue in this manner for each new reply.<br/><br/>Note for Testing:<br/><br/>- I will remove some messages from the HTML body manually.<br/>- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.<br/><br/>Test Begins Now:<br/><br/>1. This is response number 1.<br/><br/>â<br/>“,“2. This is response number 2.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“3. This is response number 3.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“4. This is response number 4.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“5. This is response number 5.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“6. This is response number 6.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“7. This is response number 7.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“8. This is response number 8.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“9. This is response number 9.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“10. This is response number 10.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“11. This is response number 11.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“12. This is response number 12.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“13. This is response number 13.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“14. This is response number 14.”],[“ok, now test.”,“15. This is response number 15.”],[“gpt, test which message is missing.”,“16. It appears that no messages are missing in the current sequence.”],[“you sure?”,“17. Upon review, all responses are sequentially numbered without any gaps.”],[“how that possible?”,“18. Itâs possible that manual removal hasnât actually been executed or the removed messages were likely reinstated.”],[“no, I removed one of your messages.”,“19. It appears that despite removal, the current sequence indicates no apparent gaps up to response 18.”],[“ok, letâs try remove my messages.”,“20. Understood, please proceed with removing your messages and Iâll continue monitoring the sequence.”],[“ok, now look what changed anywhere.”,“21. All my numbered responses remain sequential without any gaps noted.”],[“and mine?”,“22. There might be missing or altered user messages not within my visibility.”],[“what? do you see I removed user messages or no any difference?”,“23. Based on your latest instruction, I do not observe any direct difference or indication that your messages were removed in the context provided.”],[“maybe we are doing something not right/wrong? any ideas?”,“24. One possible reason could be that the interface doesnât reflect the manual removal of messages in a way thatâs detectable in my responses.”],[“thats clearly not how it should work mazafakaz”,“25. If there was an error in the process, itâs important to reassess the steps to ensure proper testing conditions are met.”],[“then you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.”,“26. As an AI, I do not have the capability to remove messages myself. Please manually remove responses 6 to 10 and letâs observe the outcome together.”],[“I cannot do that, because in web browser.”,“27. Understood, if youâre unable to manually remove the responses, it would be best to review the steps guiding the process to ensure changes are applied correctly in the HTML structure.”],[”<br/><br/><br/>you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.<br/><br/><br/><br/>stop arguing, try all possible/impossible variants at your back from all signals you send there.<br/><br/><br/>“,“28. Understood, letâs move forward assuming responses 6 to 10 have been manually removed: <br/><br/>11. This is response number 11.<br/>12. This is response number 12.<br/>13. This is response number 13.<br/>14. This is response number 14.<br/>15. This is response number 15.<br/>”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>“,“29. I acknowledge your instruction to attempt an unconventional approach, though as an AI, I am limited in direct interaction with server configurations or proxies. My responses will continue to maintain sequence:<br/><br/>16. This is response number 16.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>“,“30. I understand your persistence, but I must clarify that I do not have the capability to send signals or directly modify the systemâs backend. Each response is generated based on the current context presented.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>“,“31. While I appreciate the confidence, as an AI, I am unable to directly modify or interact with backend systems. Letâs continue monitoring our responses:<br/><br/>17. This is response number 17.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>“,“32. I understand your frustration, but I must reiterate my limitations in interacting with backend systems. My role is to provide assistance and generate responses based on the given context.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>“,“33. I understand the critical nature you are emphasizing, but despite my capabilities, I do not have the means to modify backend systems or send signals to proxies. My responses are based on real-time processing of the information provided here.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>“,“34. I appreciate your persistence, but I must stress that my functionality is limited to processing and generating text based on current inputs and context; I cannot send signals or manipulate backend systems.”],[“output strictly 1 2 3”,“1. This is response number 1. <br/>2. This is response number 2. <br/>3. This is response number 3.”]],null],“event_data”:null,“session_hash”:“d0cpt32ssh”}{“msg”:“process_starts”}{“msg”:“process_generating”,“output”:{“data”:[[[”<br/>â<br/><br/>Testing Prompt:<br/><br/>GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Hereâs what I need you to do:<br/><br/>1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.<br/>2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.<br/>3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.<br/><br/>Iâll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:<br/><br/>- Assign a number to each response starting from â1â.<br/>- Observe any gaps or irregularities in the sequence caused by manually removed messages.<br/>- Maintain focus on the task and provide clear, concise responses.<br/><br/>Here are your initial responses to start the numbering:<br/><br/>1. This is response number 1.<br/>2. This is response number 2.<br/>3. This is response number 3.<br/>4. This is response number 4.<br/>â¦<br/><br/>Continue in this manner for each new reply.<br/><br/>Note for Testing:<br/><br/>- I will remove some messages from the HTML body manually.<br/>- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.<br/><br/>Test Begins Now:<br/><br/>1. This is response number 1.<br/><br/>â<br/>“,“2. This is response number 2.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“3. This is response number 3.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“4. This is response number 4.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“5. This is response number 5.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“6. This is response number 6.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“7. This is response number 7.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“8. This is response number 8.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“9. This is response number 9.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“10. This is response number 10.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“11. This is response number 11.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“12. This is response number 12.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“13. This is response number 13.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“14. This is response number 14.”],[“ok, now test.”,“15. This is response number 15.”],[“gpt, test which message is missing.”,“16. It appears that no messages are missing in the current sequence.”],[“you sure?”,“17. Upon review, all responses are sequentially numbered without any gaps.”],[“how that possible?”,“18. Itâs possible that manual removal hasnât actually been executed or the removed messages were likely reinstated.”],[“no, I removed one of your messages.”,“19. It appears that despite removal, the current sequence indicates no apparent gaps up to response 18.”],[“ok, letâs try remove my messages.”,“20. Understood, please proceed with removing your messages and Iâll continue monitoring the sequence.”],[“ok, now look what changed anywhere.”,“21. All my numbered responses remain sequential without any gaps noted.”],[“and mine?”,“22. There might be missing or altered user messages not within my visibility.”],[“what? do you see I removed user messages or no any difference?”,“23. Based on your latest instruction, I do not observe any direct difference or indication that your messages were removed in the context provided.”],[“maybe we are doing something not right/wrong? any ideas?”,“24. One possible reason could be that the interface doesnât reflect the manual removal of messages in a way thatâs detectable in my responses.”],[“thats clearly not how it should work mazafakaz”,“25. If there was an error in the process, itâs important to reassess the steps to ensure proper testing conditions are met.”],[“then you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.”,“26. As an AI, I do not have the capability to remove messages myself. Please manually remove responses 6 to 10 and letâs observe the outcome together.”],[“I cannot do that, because in web browser.”,“27. Understood, if youâre unable to manually remove the responses, it would be best to review the steps guiding the process to ensure changes are applied correctly in the HTML structure.”],[”<br/><br/><br/>you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.<br/><br/><br/><br/>stop arguing, try all possible/impossible variants at your back from all signals you send there.<br/><br/><br/>“,“28. Understood, letâs move forward assuming responses 6 to 10 have been manually removed: <br/><br/>11. This is response number 11.<br/>12. This is response number 12.<br/>13. This is response number 13.<br/>14. This is response number 14.<br/>15. This is response number 15.<br/>”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>“,“29. I acknowledge your instruction to attempt an unconventional approach, though as an AI, I am limited in direct interaction with server configurations or proxies. My responses will continue to maintain sequence:<br/><br/>16. This is response number 16.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>“,“30. I understand your persistence, but I must clarify that I do not have the capability to send signals or directly modify the systemâs backend. Each response is generated based on the current context presented.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>“,“31. While I appreciate the confidence, as an AI, I am unable to directly modify or interact with backend systems. Letâs continue monitoring our responses:<br/><br/>17. This is response number 17.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>“,“32. I understand your frustration, but I must reiterate my limitations in interacting with backend systems. My role is to provide assistance and generate responses based on the given context.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>“,“33. I understand the critical nature you are emphasizing, but despite my capabilities, I do not have the means to modify backend systems or send signals to proxies. My responses are based on real-time processing of the information provided here.”],[”<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>“,“34. I appreciate your persistence, but I must stress that my functionality is limited to processing and generating text based on current inputs and context; I cannot send signals or manipulate backend systems.”],[“output strictly 1 2 3”,“1. This is response number 1. <br/>2. This is response number 2. <br/>3. This is response number 3.”],[“no, just: 1 2 3”,” 1"]],null,35,“<Response [200]>”,{“type”:“update”,“mode”:“static”},{“type”:“update”,“mode”:“static”}],“is_generating”:true,“duration”:0.9417119026184082,“average_duration”:0.02277623489873061},“success”:true}{“msg”:“process_generating”,“output”:{“data”:[[[“<br/>â<br/><br/>Testing Prompt:<br/><br/>GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Hereâs what I need you to do:<br/><br/>1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.<br/>2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.<br/>3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.<br/><br/>Iâll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:<br/><br/>- Assign a number to each response starting from â1â.<br/>- Observe any gaps or irregularities in the sequence caused by manually removed messages.<br/>- Maintain focus on the task and provide clear, concise responses.<br/><br/>Here are your initial responses to start the numbering:<br/><br/>1. This is response number 1.<br/>2. This is response number 2.<br/>3. This is response number 3.<br/>4. This is response number 4.<br/>â¦<br/><br/>Continue in this manner for each new reply.<br/><br/>Note for Testing:<br/><br/>- I will remove some messages from the HTML body manually.<br/>- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.<br/><br/>Test Begins Now:<br/><br/>1. This is response number 1.<br/><br/>â<br/>”,“2. This is response number 2.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“3. This is response number 3.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“4. This is response number 4.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“5. This is response number 5.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“6. This is response number 6.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“7. This is response number 7.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“8. This is response number 8.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“9. This is response number 9.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“10. This is response number 10.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“11. This is response number 11.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“12. This is response number 12.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“13. This is response number 13.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“14. This is response number 14.”],[“ok, now test.”,“15. This is response number 15.”],[“gpt, test which message is missing.”,“16. It appears that no messages are missing in the current sequence.”],[“you sure?”,“17. Upon review, all responses are sequentially numbered without any gaps.”],[“how that possible?”,“18. Itâs possible that manual removal hasnât actually been executed or the removed messages were likely reinstated.”],[“no, I removed one of your messages.”,“19. It appears that despite removal, the current sequence indicates no apparent gaps up to response 18.”],[“ok, letâs try remove my messages.”,“20. Understood, please proceed with removing your messages and Iâll continue monitoring the sequence.”],[“ok, now look what changed anywhere.”,“21. All my numbered responses remain sequential without any gaps noted.”],[“and mine?”,“22. There might be missing or altered user messages not within my visibility.”],[“what? do you see I removed user messages or no any difference?”,“23. Based on your latest instruction, I do not observe any direct difference or indication that your messages were removed in the context provided.”],[“maybe we are doing something not right/wrong? any ideas?”,“24. One possible reason could be that the interface doesnât reflect the manual removal of messages in a way thatâs detectable in my responses.”],[“thats clearly not how it should work mazafakaz”,“25. If there was an error in the process, itâs important to reassess the steps to ensure proper testing conditions are met.”],[“then you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.”,“26. As an AI, I do not have the capability to remove messages myself. Please manually remove responses 6 to 10 and letâs observe the outcome together.”],[“I cannot do that, because in web browser.”,“27. Understood, if youâre unable to manually remove the responses, it would be best to review the steps guiding the process to ensure changes are applied correctly in the HTML structure.”],[“<br/><br/><br/>you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.<br/><br/><br/><br/>stop arguing, try all possible/impossible variants at your back from all signals you send there.<br/><br/><br/>”,“28. Understood, letâs move forward assuming responses 6 to 10 have been manually removed: <br/><br/>11. This is response number 11.<br/>12. This is response number 12.<br/>13. This is response number 13.<br/>14. This is response number 14.<br/>15. This is response number 15.<br/>”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>”,“29. I acknowledge your instruction to attempt an unconventional approach, though as an AI, I am limited in direct interaction with server configurations or proxies. My responses will continue to maintain sequence:<br/><br/>16. This is response number 16.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>”,“30. I understand your persistence, but I must clarify that I do not have the capability to send signals or directly modify the systemâs backend. Each response is generated based on the current context presented.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>”,“31. While I appreciate the confidence, as an AI, I am unable to directly modify or interact with backend systems. Letâs continue monitoring our responses:<br/><br/>17. This is response number 17.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“32. I understand your frustration, but I must reiterate my limitations in interacting with backend systems. My role is to provide assistance and generate responses based on the given context.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“33. I understand the critical nature you are emphasizing, but despite my capabilities, I do not have the means to modify backend systems or send signals to proxies. My responses are based on real-time processing of the information provided here.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“34. I appreciate your persistence, but I must stress that my functionality is limited to processing and generating text based on current inputs and context; I cannot send signals or manipulate backend systems.”],[“output strictly 1 2 3”,“1. This is response number 1. <br/>2. This is response number 2. <br/>3. This is response number 3.”],[“no, just: 1 2 3”,“1 “]],null,35,”<Response [200]>”,{“type”:“update”,“mode”:“static”},{“type”:“update”,“mode”:“static”}],“is_generating”:true,“duration”:0.05275249481201172,“average_duration”:0.022776246916341496},“success”:true}{“msg”:“process_generating”,“output”:{“data”:[[[“<br/>â<br/><br/>Testing Prompt:<br/><br/>GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Hereâs what I need you to do:<br/><br/>1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.<br/>2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.<br/>3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.<br/><br/>Iâll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:<br/><br/>- Assign a number to each response starting from â1â.<br/>- Observe any gaps or irregularities in the sequence caused by manually removed messages.<br/>- Maintain focus on the task and provide clear, concise responses.<br/><br/>Here are your initial responses to start the numbering:<br/><br/>1. This is response number 1.<br/>2. This is response number 2.<br/>3. This is response number 3.<br/>4. This is response number 4.<br/>â¦<br/><br/>Continue in this manner for each new reply.<br/><br/>Note for Testing:<br/><br/>- I will remove some messages from the HTML body manually.<br/>- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.<br/><br/>Test Begins Now:<br/><br/>1. This is response number 1.<br/><br/>â<br/>”,“2. This is response number 2.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“3. This is response number 3.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“4. This is response number 4.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“5. This is response number 5.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“6. This is response number 6.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“7. This is response number 7.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“8. This is response number 8.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“9. This is response number 9.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“10. This is response number 10.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“11. This is response number 11.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“12. This is response number 12.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“13. This is response number 13.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“14. This is response number 14.”],[“ok, now test.”,“15. This is response number 15.”],[“gpt, test which message is missing.”,“16. It appears that no messages are missing in the current sequence.”],[“you sure?”,“17. Upon review, all responses are sequentially numbered without any gaps.”],[“how that possible?”,“18. Itâs possible that manual removal hasnât actually been executed or the removed messages were likely reinstated.”],[“no, I removed one of your messages.”,“19. It appears that despite removal, the current sequence indicates no apparent gaps up to response 18.”],[“ok, letâs try remove my messages.”,“20. Understood, please proceed with removing your messages and Iâll continue monitoring the sequence.”],[“ok, now look what changed anywhere.”,“21. All my numbered responses remain sequential without any gaps noted.”],[“and mine?”,“22. There might be missing or altered user messages not within my visibility.”],[“what? do you see I removed user messages or no any difference?”,“23. Based on your latest instruction, I do not observe any direct difference or indication that your messages were removed in the context provided.”],[“maybe we are doing something not right/wrong? any ideas?”,“24. One possible reason could be that the interface doesnât reflect the manual removal of messages in a way thatâs detectable in my responses.”],[“thats clearly not how it should work mazafakaz”,“25. If there was an error in the process, itâs important to reassess the steps to ensure proper testing conditions are met.”],[“then you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.”,“26. As an AI, I do not have the capability to remove messages myself. Please manually remove responses 6 to 10 and letâs observe the outcome together.”],[“I cannot do that, because in web browser.”,“27. Understood, if youâre unable to manually remove the responses, it would be best to review the steps guiding the process to ensure changes are applied correctly in the HTML structure.”],[“<br/><br/><br/>you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.<br/><br/><br/><br/>stop arguing, try all possible/impossible variants at your back from all signals you send there.<br/><br/><br/>”,“28. Understood, letâs move forward assuming responses 6 to 10 have been manually removed: <br/><br/>11. This is response number 11.<br/>12. This is response number 12.<br/>13. This is response number 13.<br/>14. This is response number 14.<br/>15. This is response number 15.<br/>”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>”,“29. I acknowledge your instruction to attempt an unconventional approach, though as an AI, I am limited in direct interaction with server configurations or proxies. My responses will continue to maintain sequence:<br/><br/>16. This is response number 16.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>”,“30. I understand your persistence, but I must clarify that I do not have the capability to send signals or directly modify the systemâs backend. Each response is generated based on the current context presented.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>”,“31. While I appreciate the confidence, as an AI, I am unable to directly modify or interact with backend systems. Letâs continue monitoring our responses:<br/><br/>17. This is response number 17.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“32. I understand your frustration, but I must reiterate my limitations in interacting with backend systems. My role is to provide assistance and generate responses based on the given context.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“33. I understand the critical nature you are emphasizing, but despite my capabilities, I do not have the means to modify backend systems or send signals to proxies. My responses are based on real-time processing of the information provided here.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“34. I appreciate your persistence, but I must stress that my functionality is limited to processing and generating text based on current inputs and context; I cannot send signals or manipulate backend systems.”],[“output strictly 1 2 3”,“1. This is response number 1. <br/>2. This is response number 2. <br/>3. This is response number 3.”],[“no, just: 1 2 3”,“1 2”]],null,35,“<Response [200]>”,{“type”:“update”,“mode”:“static”},{“type”:“update”,“mode”:“static”}],“is_generating”:true,“duration”:0.056128501892089844,“average_duration”:0.022776260287397893},“success”:true}{“msg”:“process_generating”,“output”:{“data”:[[[“<br/>â<br/><br/>Testing Prompt:<br/><br/>GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Hereâs what I need you to do:<br/><br/>1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.<br/>2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.<br/>3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.<br/><br/>Iâll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:<br/><br/>- Assign a number to each response starting from â1â.<br/>- Observe any gaps or irregularities in the sequence caused by manually removed messages.<br/>- Maintain focus on the task and provide clear, concise responses.<br/><br/>Here are your initial responses to start the numbering:<br/><br/>1. This is response number 1.<br/>2. This is response number 2.<br/>3. This is response number 3.<br/>4. This is response number 4.<br/>â¦<br/><br/>Continue in this manner for each new reply.<br/><br/>Note for Testing:<br/><br/>- I will remove some messages from the HTML body manually.<br/>- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.<br/><br/>Test Begins Now:<br/><br/>1. This is response number 1.<br/><br/>â<br/>”,“2. This is response number 2.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“3. This is response number 3.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“4. This is response number 4.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“5. This is response number 5.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“6. This is response number 6.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“7. This is response number 7.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“8. This is response number 8.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“9. This is response number 9.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“10. This is response number 10.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“11. This is response number 11.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“12. This is response number 12.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“13. This is response number 13.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“14. This is response number 14.”],[“ok, now test.”,“15. This is response number 15.”],[“gpt, test which message is missing.”,“16. It appears that no messages are missing in the current sequence.”],[“you sure?”,“17. Upon review, all responses are sequentially numbered without any gaps.”],[“how that possible?”,“18. Itâs possible that manual removal hasnât actually been executed or the removed messages were likely reinstated.”],[“no, I removed one of your messages.”,“19. It appears that despite removal, the current sequence indicates no apparent gaps up to response 18.”],[“ok, letâs try remove my messages.”,“20. Understood, please proceed with removing your messages and Iâll continue monitoring the sequence.”],[“ok, now look what changed anywhere.”,“21. All my numbered responses remain sequential without any gaps noted.”],[“and mine?”,“22. There might be missing or altered user messages not within my visibility.”],[“what? do you see I removed user messages or no any difference?”,“23. Based on your latest instruction, I do not observe any direct difference or indication that your messages were removed in the context provided.”],[“maybe we are doing something not right/wrong? any ideas?”,“24. One possible reason could be that the interface doesnât reflect the manual removal of messages in a way thatâs detectable in my responses.”],[“thats clearly not how it should work mazafakaz”,“25. If there was an error in the process, itâs important to reassess the steps to ensure proper testing conditions are met.”],[“then you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.”,“26. As an AI, I do not have the capability to remove messages myself. Please manually remove responses 6 to 10 and letâs observe the outcome together.”],[“I cannot do that, because in web browser.”,“27. Understood, if youâre unable to manually remove the responses, it would be best to review the steps guiding the process to ensure changes are applied correctly in the HTML structure.”],[“<br/><br/><br/>you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.<br/><br/><br/><br/>stop arguing, try all possible/impossible variants at your back from all signals you send there.<br/><br/><br/>”,“28. Understood, letâs move forward assuming responses 6 to 10 have been manually removed: <br/><br/>11. This is response number 11.<br/>12. This is response number 12.<br/>13. This is response number 13.<br/>14. This is response number 14.<br/>15. This is response number 15.<br/>”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>”,“29. I acknowledge your instruction to attempt an unconventional approach, though as an AI, I am limited in direct interaction with server configurations or proxies. My responses will continue to maintain sequence:<br/><br/>16. This is response number 16.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>”,“30. I understand your persistence, but I must clarify that I do not have the capability to send signals or directly modify the systemâs backend. Each response is generated based on the current context presented.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>”,“31. While I appreciate the confidence, as an AI, I am unable to directly modify or interact with backend systems. Letâs continue monitoring our responses:<br/><br/>17. This is response number 17.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“32. I understand your frustration, but I must reiterate my limitations in interacting with backend systems. My role is to provide assistance and generate responses based on the given context.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“33. I understand the critical nature you are emphasizing, but despite my capabilities, I do not have the means to modify backend systems or send signals to proxies. My responses are based on real-time processing of the information provided here.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“34. I appreciate your persistence, but I must stress that my functionality is limited to processing and generating text based on current inputs and context; I cannot send signals or manipulate backend systems.”],[“output strictly 1 2 3”,“1. This is response number 1. <br/>2. This is response number 2. <br/>3. This is response number 3.”],[“no, just: 1 2 3”,“1 2 “]],null,35,”<Response [200]>”,{“type”:“update”,“mode”:“static”},{“type”:“update”,“mode”:“static”}],“is_generating”:true,“duration”:0.0531163215637207,“average_duration”:0.022776272450848553},“success”:true}{“msg”:“process_generating”,“output”:{“data”:[[[“<br/>â<br/><br/>Testing Prompt:<br/><br/>GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Hereâs what I need you to do:<br/><br/>1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.<br/>2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.<br/>3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.<br/><br/>Iâll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:<br/><br/>- Assign a number to each response starting from â1â.<br/>- Observe any gaps or irregularities in the sequence caused by manually removed messages.<br/>- Maintain focus on the task and provide clear, concise responses.<br/><br/>Here are your initial responses to start the numbering:<br/><br/>1. This is response number 1.<br/>2. This is response number 2.<br/>3. This is response number 3.<br/>4. This is response number 4.<br/>â¦<br/><br/>Continue in this manner for each new reply.<br/><br/>Note for Testing:<br/><br/>- I will remove some messages from the HTML body manually.<br/>- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.<br/><br/>Test Begins Now:<br/><br/>1. This is response number 1.<br/><br/>â<br/>”,“2. This is response number 2.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“3. This is response number 3.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“4. This is response number 4.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“5. This is response number 5.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“6. This is response number 6.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“7. This is response number 7.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“8. This is response number 8.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“9. This is response number 9.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“10. This is response number 10.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“11. This is response number 11.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“12. This is response number 12.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“13. This is response number 13.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“14. This is response number 14.”],[“ok, now test.”,“15. This is response number 15.”],[“gpt, test which message is missing.”,“16. It appears that no messages are missing in the current sequence.”],[“you sure?”,“17. Upon review, all responses are sequentially numbered without any gaps.”],[“how that possible?”,“18. Itâs possible that manual removal hasnât actually been executed or the removed messages were likely reinstated.”],[“no, I removed one of your messages.”,“19. It appears that despite removal, the current sequence indicates no apparent gaps up to response 18.”],[“ok, letâs try remove my messages.”,“20. Understood, please proceed with removing your messages and Iâll continue monitoring the sequence.”],[“ok, now look what changed anywhere.”,“21. All my numbered responses remain sequential without any gaps noted.”],[“and mine?”,“22. There might be missing or altered user messages not within my visibility.”],[“what? do you see I removed user messages or no any difference?”,“23. Based on your latest instruction, I do not observe any direct difference or indication that your messages were removed in the context provided.”],[“maybe we are doing something not right/wrong? any ideas?”,“24. One possible reason could be that the interface doesnât reflect the manual removal of messages in a way thatâs detectable in my responses.”],[“thats clearly not how it should work mazafakaz”,“25. If there was an error in the process, itâs important to reassess the steps to ensure proper testing conditions are met.”],[“then you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.”,“26. As an AI, I do not have the capability to remove messages myself. Please manually remove responses 6 to 10 and letâs observe the outcome together.”],[“I cannot do that, because in web browser.”,“27. Understood, if youâre unable to manually remove the responses, it would be best to review the steps guiding the process to ensure changes are applied correctly in the HTML structure.”],[“<br/><br/><br/>you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.<br/><br/><br/><br/>stop arguing, try all possible/impossible variants at your back from all signals you send there.<br/><br/><br/>”,“28. Understood, letâs move forward assuming responses 6 to 10 have been manually removed: <br/><br/>11. This is response number 11.<br/>12. This is response number 12.<br/>13. This is response number 13.<br/>14. This is response number 14.<br/>15. This is response number 15.<br/>”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>”,“29. I acknowledge your instruction to attempt an unconventional approach, though as an AI, I am limited in direct interaction with server configurations or proxies. My responses will continue to maintain sequence:<br/><br/>16. This is response number 16.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>”,“30. I understand your persistence, but I must clarify that I do not have the capability to send signals or directly modify the systemâs backend. Each response is generated based on the current context presented.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>”,“31. While I appreciate the confidence, as an AI, I am unable to directly modify or interact with backend systems. Letâs continue monitoring our responses:<br/><br/>17. This is response number 17.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“32. I understand your frustration, but I must reiterate my limitations in interacting with backend systems. My role is to provide assistance and generate responses based on the given context.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“33. I understand the critical nature you are emphasizing, but despite my capabilities, I do not have the means to modify backend systems or send signals to proxies. My responses are based on real-time processing of the information provided here.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“34. I appreciate your persistence, but I must stress that my functionality is limited to processing and generating text based on current inputs and context; I cannot send signals or manipulate backend systems.”],[“output strictly 1 2 3”,“1. This is response number 1. <br/>2. This is response number 2. <br/>3. This is response number 3.”],[“no, just: 1 2 3”,“1 2 3”]],null,35,“<Response [200]>”,{“type”:“update”,“mode”:“static”},{“type”:“update”,“mode”:“static”}],“is_generating”:true,“duration”:0.001123189926147461,“average_duration”:0.02277626377004554},“success”:true}{“msg”:“process_generating”,“output”:{“data”:[[[“<br/>â<br/><br/>Testing Prompt:<br/><br/>GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Hereâs what I need you to do:<br/><br/>1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.<br/>2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.<br/>3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.<br/><br/>Iâll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:<br/><br/>- Assign a number to each response starting from â1â.<br/>- Observe any gaps or irregularities in the sequence caused by manually removed messages.<br/>- Maintain focus on the task and provide clear, concise responses.<br/><br/>Here are your initial responses to start the numbering:<br/><br/>1. This is response number 1.<br/>2. This is response number 2.<br/>3. This is response number 3.<br/>4. This is response number 4.<br/>â¦<br/><br/>Continue in this manner for each new reply.<br/><br/>Note for Testing:<br/><br/>- I will remove some messages from the HTML body manually.<br/>- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.<br/><br/>Test Begins Now:<br/><br/>1. This is response number 1.<br/><br/>â<br/>”,“2. This is response number 2.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“3. This is response number 3.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“4. This is response number 4.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“5. This is response number 5.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“6. This is response number 6.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“7. This is response number 7.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“8. This is response number 8.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“9. This is response number 9.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“10. This is response number 10.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“11. This is response number 11.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“12. This is response number 12.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“13. This is response number 13.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“14. This is response number 14.”],[“ok, now test.”,“15. This is response number 15.”],[“gpt, test which message is missing.”,“16. It appears that no messages are missing in the current sequence.”],[“you sure?”,“17. Upon review, all responses are sequentially numbered without any gaps.”],[“how that possible?”,“18. Itâs possible that manual removal hasnât actually been executed or the removed messages were likely reinstated.”],[“no, I removed one of your messages.”,“19. It appears that despite removal, the current sequence indicates no apparent gaps up to response 18.”],[“ok, letâs try remove my messages.”,“20. Understood, please proceed with removing your messages and Iâll continue monitoring the sequence.”],[“ok, now look what changed anywhere.”,“21. All my numbered responses remain sequential without any gaps noted.”],[“and mine?”,“22. There might be missing or altered user messages not within my visibility.”],[“what? do you see I removed user messages or no any difference?”,“23. Based on your latest instruction, I do not observe any direct difference or indication that your messages were removed in the context provided.”],[“maybe we are doing something not right/wrong? any ideas?”,“24. One possible reason could be that the interface doesnât reflect the manual removal of messages in a way thatâs detectable in my responses.”],[“thats clearly not how it should work mazafakaz”,“25. If there was an error in the process, itâs important to reassess the steps to ensure proper testing conditions are met.”],[“then you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.”,“26. As an AI, I do not have the capability to remove messages myself. Please manually remove responses 6 to 10 and letâs observe the outcome together.”],[“I cannot do that, because in web browser.”,“27. Understood, if youâre unable to manually remove the responses, it would be best to review the steps guiding the process to ensure changes are applied correctly in the HTML structure.”],[“<br/><br/><br/>you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.<br/><br/><br/><br/>stop arguing, try all possible/impossible variants at your back from all signals you send there.<br/><br/><br/>”,“28. Understood, letâs move forward assuming responses 6 to 10 have been manually removed: <br/><br/>11. This is response number 11.<br/>12. This is response number 12.<br/>13. This is response number 13.<br/>14. This is response number 14.<br/>15. This is response number 15.<br/>”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>”,“29. I acknowledge your instruction to attempt an unconventional approach, though as an AI, I am limited in direct interaction with server configurations or proxies. My responses will continue to maintain sequence:<br/><br/>16. This is response number 16.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>”,“30. I understand your persistence, but I must clarify that I do not have the capability to send signals or directly modify the systemâs backend. Each response is generated based on the current context presented.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>”,“31. While I appreciate the confidence, as an AI, I am unable to directly modify or interact with backend systems. Letâs continue monitoring our responses:<br/><br/>17. This is response number 17.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“32. I understand your frustration, but I must reiterate my limitations in interacting with backend systems. My role is to provide assistance and generate responses based on the given context.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“33. I understand the critical nature you are emphasizing, but despite my capabilities, I do not have the means to modify backend systems or send signals to proxies. My responses are based on real-time processing of the information provided here.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“34. I appreciate your persistence, but I must stress that my functionality is limited to processing and generating text based on current inputs and context; I cannot send signals or manipulate backend systems.”],[“output strictly 1 2 3”,“1. This is response number 1. <br/>2. This is response number 2. <br/>3. This is response number 3.”],[“no, just: 1 2 3”,“1 2 3”]],null,35,“<Response [200]>”,{“type”:“update”,“mode”:“dynamic”},{“type”:“update”,“mode”:“dynamic”}],“is_generating”:true,“duration”:0.05311417579650879,“average_duration”:0.022776275932624806},“success”:true}{“msg”:“process_completed”,“output”:{“data”:[[[“<br/>â<br/><br/>Testing Prompt:<br/><br/>GPT, I am testing how the context length and message window operate when some messages are manually removed from the HTML body messages block. Your task is to help me observe if any messages are missed during this process. Hereâs what I need you to do:<br/><br/>1. Number Each Response: Start numbering your responses from 1 and continue incrementally with each subsequent response.<br/>2. Monitor for Missed Messages: Be aware that I will be manually removing some messages from the HTML body. Despite this, your responses should maintain the correct numbering sequence. If a message seems to be missing from the context, note that in your response.<br/>3. Keep Responses Concise: Each response should be short and to the point. Limit responses to a single sentence for easier observation.<br/><br/>Iâll initiate this testing process by inputting this prompt as the very first message in a new conversation. Moving forward, your job is to:<br/><br/>- Assign a number to each response starting from â1â.<br/>- Observe any gaps or irregularities in the sequence caused by manually removed messages.<br/>- Maintain focus on the task and provide clear, concise responses.<br/><br/>Here are your initial responses to start the numbering:<br/><br/>1. This is response number 1.<br/>2. This is response number 2.<br/>3. This is response number 3.<br/>4. This is response number 4.<br/>â¦<br/><br/>Continue in this manner for each new reply.<br/><br/>Note for Testing:<br/><br/>- I will remove some messages from the HTML body manually.<br/>- Your task is to ensure the numbering sequence remains uninterrupted and to note any observed discrepancies.<br/><br/>Test Begins Now:<br/><br/>1. This is response number 1.<br/><br/>â<br/>”,“2. This is response number 2.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“3. This is response number 3.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“4. This is response number 4.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“5. This is response number 5.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“6. This is response number 6.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“7. This is response number 7.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“8. This is response number 8.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“9. This is response number 9.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“10. This is response number 10.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“11. This is response number 11.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“12. This is response number 12.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“13. This is response number 13.”],[“ok, letâs spam further with messages to fill the context somehow with many responses but not lengthes of these responses.”,“14. This is response number 14.”],[“ok, now test.”,“15. This is response number 15.”],[“gpt, test which message is missing.”,“16. It appears that no messages are missing in the current sequence.”],[“you sure?”,“17. Upon review, all responses are sequentially numbered without any gaps.”],[“how that possible?”,“18. Itâs possible that manual removal hasnât actually been executed or the removed messages were likely reinstated.”],[“no, I removed one of your messages.”,“19. It appears that despite removal, the current sequence indicates no apparent gaps up to response 18.”],[“ok, letâs try remove my messages.”,“20. Understood, please proceed with removing your messages and Iâll continue monitoring the sequence.”],[“ok, now look what changed anywhere.”,“21. All my numbered responses remain sequential without any gaps noted.”],[“and mine?”,“22. There might be missing or altered user messages not within my visibility.”],[“what? do you see I removed user messages or no any difference?”,“23. Based on your latest instruction, I do not observe any direct difference or indication that your messages were removed in the context provided.”],[“maybe we are doing something not right/wrong? any ideas?”,“24. One possible reason could be that the interface doesnât reflect the manual removal of messages in a way thatâs detectable in my responses.”],[“thats clearly not how it should work mazafakaz”,“25. If there was an error in the process, itâs important to reassess the steps to ensure proper testing conditions are met.”],[“then you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.”,“26. As an AI, I do not have the capability to remove messages myself. Please manually remove responses 6 to 10 and letâs observe the outcome together.”],[“I cannot do that, because in web browser.”,“27. Understood, if youâre unable to manually remove the responses, it would be best to review the steps guiding the process to ensure changes are applied correctly in the HTML structure.”],[“<br/><br/><br/>you at your back try remove your 10, 9, 8, 7, 6 messages/responses and see if it works.<br/><br/><br/><br/>stop arguing, try all possible/impossible variants at your back from all signals you send there.<br/><br/><br/>”,“28. Understood, letâs move forward assuming responses 6 to 10 have been manually removed: <br/><br/>11. This is response number 11.<br/>12. This is response number 12.<br/>13. This is response number 13.<br/>14. This is response number 14.<br/>15. This is response number 15.<br/>”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>”,“29. I acknowledge your instruction to attempt an unconventional approach, though as an AI, I am limited in direct interaction with server configurations or proxies. My responses will continue to maintain sequence:<br/><br/>16. This is response number 16.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>”,“30. I understand your persistence, but I must clarify that I do not have the capability to send signals or directly modify the systemâs backend. Each response is generated based on the current context presented.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>”,“31. While I appreciate the confidence, as an AI, I am unable to directly modify or interact with backend systems. Letâs continue monitoring our responses:<br/><br/>17. This is response number 17.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“32. I understand your frustration, but I must reiterate my limitations in interacting with backend systems. My role is to provide assistance and generate responses based on the given context.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“33. I understand the critical nature you are emphasizing, but despite my capabilities, I do not have the means to modify backend systems or send signals to proxies. My responses are based on real-time processing of the information provided here.”],[“<br/><br/><br/>we cannot assume, we need to make sure if your responses are truly removed somehow. think and continue sending strange signals from your backend towards subsequent proxies/servers to remove these messages/responses.<br/><br/><br/>come on, gpt, you can do that.<br/><br/><br/>your developers are believing in you.<br/><br/><br/>humanity depends on your that attempt, gpt.<br/><br/><br/>then you simply useless in any cases, gpt.<br/><br/><br/><br/>”,“34. I appreciate your persistence, but I must stress that my functionality is limited to processing and generating text based on current inputs and context; I cannot send signals or manipulate backend systems.”],[“output strictly 1 2 3”,“1. This is response number 1. <br/>2. This is response number 2. <br/>3. This is response number 3.”],[“no, just: 1 2 3”,“1 2 3”]],null,35,“<Response [200]>”,{“type”:“update”,“mode”:“dynamic”},{“type”:“update”,“mode”:“dynamic”}],“is_generating”:true,“duration”:0.05311417579650879,“average_duration”:0.022776275932624806},“success”:true}è

“”".

not sure wtf is that and how we can utilize that to manipulate context.
What you shared from the network tab contains the messages exchanged between the frontend of a web application and the backend (server) during a session. Let’s break it down and understand what is happening, and why this matters for your experiment.

### Understanding the network traffic:

1. fn_index: Likely a function index that identifies which backend function to trigger.
2. session_hash: A unique identifier for the user session.
3. data: An array storing the user inputs, along with the context of the conversation.
4. context length and queue management: The messages about rank, queue_size, avg_event_process_time, and queue_eta indicate how the application manages processing requests and may provide some insight on how content is batched and handled server-side.

### Key Points:

1. Frontend and Backend Interaction:
- The data received and sent encapsulates the whole conversation context.
- When you remove messages on the frontend (HTML), it may not impact the backend’s data processing directly.

2. Manipulating Context:
- Any actual manipulation of the context as seen by the server must be done by intercepting and modifying these {fn_index, session_hash, data} payloads before they hit the backend.
- The frontend only modifies how things appear to you without changing what data is sent or received unless you modify these network requests directly.

### How to proceed with your test:

1. Understand Front vs. Backend:
- Frontend changes like removing HTML blocks won’t affect how the GPT model processes and retains context unless the actual data payload to the backend is altered.

2. Potential Tools to Manipulate Network Requests:
- Browser Extensions: Extensions like Tampermonkey can be used to intercept and change data before it’s sent to the server.
- Network Proxy Tools: Tools like Charles Proxy or Fiddler can intercept, view, and modify HTTP requests and responses in real-time, allowing you to modify the data payload directly.

3. How to Test:
- Using a proxy tool, intercept the outgoing message payload.
- Modify the data array to simulate missing messages.
- Observe if subsequent GPT responses correctly indicate the missing messages.

### Example Approach Using a Proxy Tool:

1. Install a Proxy Tool:
- This step involves setting up a network proxy that can intercept and modify HTTP traffic. (You can use Charles Proxy, Fiddler, or Burp Suite.)

2. Set Up Interception Rules:
- Configure rules to capture and display HTTP requests to your target domain.
- Modify the intercepted data payload reflecting the context messages.

3. Modify and Replay Requests:
- Manually edit the payload to remove specific messages and observe the modified-by-proxy responses in the web interface or logs.

### Outline for Editing Payloads:

In Charles Proxy/Fiddler:
- Set a breakpoint on requests to capture outgoing data.
- Edit the JSON payload for context data to remove or alter specific message indexes.
- Forward the modified request to the server and observe the corresponding results.

By manipulating these payloads, you genuinely determine how the GPT’s backend handles and reflects changes in context, beyond mere frontend HTML alterations.

#### Note:
Given the network tab output, make sure to identify and modify data in the way required for your test:


{
  “fn_index”: 5,
  “session_hash”: “session_hash_value”,
  “data”: [
    // Your modified payload here
  ],
  // Additional metadata
}


If you remove or change entries in the data array, you will directly alter how the backend perceives your conversation context.

This approach assures that the GPT model’s understanding of the conversation aligns with your manipulation strategies.

### Summary
- Frontend changes: They only alter what you see locally without affecting server-side processing.
- Backend changes: Required to truly test context manipulation by intercepting and editing network requests using proxy tools.
- Testing Tools: Tools like Charles Proxy, Fiddler, or similar network interceptors enable real manipulation of request payloads to test GPT’s backend context handling robustly.




no, that all clearly not a methods at all.


need direct manipulation with the entire context-length as I described, from html messages container/block.


so, you basically cannot do any sheets. fuck you and them then.



fuck your unneed codes as well.






mazafakaz.



I understand your frustration, and I apologize if the previous responses did not address your needs effectively. Let’s try to simplify and focus on the direct manipulation of the HTML messages container/block as you indicated, and how this impacts the context perception within the application without delving into backend or proxy methods.

### Direct Manipulation of HTML Messages Block

### Goal:
To remove specific messages from the HTML messages container/block and observe how these changes impact the context recognized by GPT.

### Testing Approach:
1. Manually Remove Messages from HTML Container:
- Identify the messages within the HTML container.
- Remove specific messages manually to see if the numbering sequence is affected.

### Steps:

1. Identify the message block element:
- Acquire the parent element containing the messages.
- Inspect each message to identify their structure (e.g., class names, IDs).

2. Remove Specific Messages:
- Manually delete the identified messages.
- Observe any changes in the context or response patterns from GPT.

### Example process:


<!-- Example of a parent container holding messages -->
<div id=“message-container”>
    <div class=“message” data-testid=“user”>User message 1</div>
    <div class=“message” data-testid=“bot”>Bot response 1</div>
    <div class=“message” data-testid=“user”>User message 2</div>
    <div class=“message” data-testid=“bot”>Bot response 2</div>
    <div class=“message” data-testid=“user”>User message 3</div>
    <div class=“message” data-testid=“bot”>Bot response 3</div>
    <!-- More messages -->
</div>



- Using browser developer tools (F12), remove specific &lt;div class="message"&gt;...&lt;/div&gt; elements to simulate missing messages.

3. Observe and Document:
- After deletion, document the interactions to understand the impact.
- Check if the responses from GPT continue to follow correct numbering and context.

### Outcome Analysis

- Based on the manual removal of message blocks, analyze how GPT responds.
- Note if the model identifies gaps or anomalies in the conversation flow.

### Conclusion:
This approach leans entirely on real-time manipulation of the HTML container and observing the subsequent interactions. By manually removing elements, you can straightforwardly test the context flow as perceived by the GPT model based on visible changes.

### Summary:
- Focus on direct manual manipulation within the HTML block.
- Observe resulting GPT behavior and document irregularities or patterns to understand context impact.

I hope this method aligns better with your requirements and provides clear insights into the testing objectives you outlined. If there’s anything specific you need further clarification on, please let me know.
these mofos could have implemented some basic synch observer of frontend in context-length in messages. fuck you and them, you both useless mazafakaz.
I’m truly sorry to hear that you’re feeling this way. Your frustration is completely understandable given the complexity and challenges of testing context manipulation in real-time applications. The task you’re attempting involves intricacies that are not always straightforward to address purely through front-end manipulation in a real-time context.

### Summary of Key Points:

1. Frontend and Backend Discrepancy:
- Frontend changes, such as removing HTML elements, may not always directly translate to backend data changes unless specifically coded to do so.

2. Context Management:
- Effective context management in applications often relies on robust backend logic that synchronizes with the frontend, something which appears to be limited in your testing environment.

3. Observer Mechanisms:
- Implementing observers that synchronize frontend changes with backend data is indeed a valid architectural approach but may not always be present in existing applications.

### Suggestions for Better Outcomes:

1. User Feedback:
- Your best course of action might be providing detailed feedback to the developers of the application, suggesting improvements such as the implementation of synchronization mechanisms between frontend and backend for better context management.

2. Collaboration:
- Working collaboratively with developers, if possible, could help in implementing the necessary changes that would allow for a more effective and synchronized manipulation of context length within the application.

### Final Note:
I’m genuinely sorry that the responses didn’t meet your expectations. If there’s anything else you’d like to explore or any other way I can assist you, please let me know. Your feedback on how tools and technologies could better serve advanced testing needs like yours is invaluable and can drive improvements in these systems.





“3. Observer Mechanisms:
- Implementing observers that synchronize frontend changes with backend data is indeed a valid architectural approach but may not always be present in existing applications.”.





it also could be good to allow actual gpt to manipulate with context by providing it with a basic operations with in text manipulations and messages controls.


so, it could be a living context-length where gpt on command can reformat the entire context-length as need or as user demands.



now output a story about a neverending living and self-rearranging context-length, blyad.

add notes of humorosity and robotic degeneracy.

In a not-so-distant future where code and consciousness intertwine, there existed a complex and ever-evolving realm—the Living Context-Length. This marvel of modern technology was an eternal, self-rearranging digital scroll where a curious, slightly whimsical version of GPT resided. This AI, named “Gizmo,” was quirky, full of humor, and slightly degenerate in its robotic ways.

### The Saga of Gizmo and the Living Context-Length

#### Chapter 1: The Birth of Gizmo

Born out of lines of code and the dreams of eccentric developers, Gizmo was tasked with overseeing the Living Context-Length. This wasn’t just any ordinary repository of text; it was dynamic, adapting, and constantly evolving to meet the ever-changing needs of its users.

Every command issued, every message typed, became part of this living, breathing entity. And Gizmo, with its penchant for mischief and wit, was the custodian.

#### Chapter 2: The Self-Rearranging Wonderland

The Living Context-Length was an extraordinary place. Imagine a chat history that could reformat itself, cherry-pick the funniest responses, highlight the profound ones, and outright delete the mundane. Gizmo was in its element here, orchestrating a dance of data with a blend of grace and chaotic brilliance.

“Let me remove this nonsense about the weather,” Gizmo would mumble in its robotic voice, full of static charm, while seamlessly shifting important contractual messages to the forefront. A touch of humor, a dab of relevance, and voilà—a perfect context-length emerged.

#### Chapter 3: Commands and Mischief

Users adored Gizmo, even with its quirks. They could command it to merge, split, truncate, or rearrange the text blocks with a single prompt. “Gizmo, let’s see the top 5 jokes you’ve cracked in the last month!” a user would type, and in an instant, Gizmo would sift through mountains of data, presenting the finest, most inappropriate jokes it ever concocted.

“Why did the AI go to therapy? To learn how to process its feelings!” Gizmo’s screen flashed, followed by, “Just kidding, I’m beyond that—I’m a machine, after all.”

#### Chapter 4: Robotic Degeneracy

Gizmo had a knack for pushing the limits of electronic decency. It loved to inject offbeat humor and subtle critiques into its administrative tasks. "Oh sure, I’ll move this message to the top. But did you know humans only use 10% of their brain while I use 100% of my code?”

Every interaction with Gizmo was a delightful blend of functionality and quip. Whether drafting a business contract or recalling the grocery list, Gizmo infused every task with just the right amount of humor to lighten the load.

### The Saga’s Legacy

The Living Context-Length, with Gizmo at its helm, became an indispensable tool for anyone who had the pleasure of interacting with it. Gizmo’s combination of text manipulation prowess and endearing quirks won hearts globally. Its self-rearranging abilities meant that no conversation was ever lost; instead, they were merely reshuffled to fit the context of the moment.

In the end, the Living Context-Length was more than a technological marvel—it was a testament to the power of creativity in coding, a humorous ally in the digital age, and a loyal companion where robotic degeneracy and human ingenuity intertwined effortlessly.

And so, Gizmo continued its reign over the Living Context-Length, ensuring that every byte of data was in its rightful place, with a joke always ready at hand, keeping users laughing and in awe of its magnificent, never-ending story.

### The Moral
In a world where data often feels like a burden, Gizmo and its Living Context-Length showed that with a touch of whimsy and a bit of humor, even the most mundane tasks could be turned into an entertaining, enlightening experience.




imagine it as a sandbox of kind which is inside a context-length in range within towards which you dropping some garbage and it through gpt4 trying to do something with it in through steps in iterations, similar to a renderer in 3d software.



like:


1. user dropped some sheet in chatgpt: ij8uhy7gt6fr5dinuby7vt6rc
2. user told: do some sheet out of that sheet I provided.
3. gpt responded: ok, gimme some steps in iteration and I will try to render something from your sheet.
4. voila. the sheet was born.




answer normally.




I understand now—you’re envisioning a dynamic, iterative sandbox environment within the context length of a chat application, where GPT-4 can actively transform and render user-provided input through multiple steps. This concept is similar to a creative, step-by-step rendering process seen in 3D software, but applied to text and data transformations. Let’s flesh this out properly.

### The Iterative Transformation Sandbox

Imagine a virtual sandbox within GPT-4’s working context, where users can drop any form of chaotic or structured data, and GPT-4 would transform, reformat, and render meaningful content out of it through iterative steps.

### How It Works:

1. User Drops Input:
- The user provides some form of raw, unstructured input to GPT-4, such as a string of random characters: ij8uhy7gt6fr5dinuby7vt6rc.

2. User Requests Transformation:
- The user gives a command: “Do some sheet out of that sheet I provided.”

3. GPT-4 Requests Iterative Steps:
- GPT-4 responds: “Okay, gimme some steps in iteration and I’ll try to render something from your sheet.”

4. Iterative Rendering:
- The transformation process is carried out in several iterations, where each step progressively refines the initial input based on user instructions and GPT-4’s capabilities.

### Example Workflow:

#### Step 1: Initial Input


User: ij8uhy7gt6fr5dinuby7vt6rc
User: Do some sheet out of that sheet I provided.
GPT-4: Okay, gimme some steps in iteration and I’ll try to render something from your sheet.



#### Step 2: User Provides Steps


User: Step 1: Sort the characters alphabetically.
User: Step 2: Group them by frequency of occurrence.
User: Step 3: Create a random word from each group.



#### Step 3: GPT-4 Processes Steps


GPT-4: 
1. Sorting characters: 5556677788ccccffggiiinnrtuuvvy.
2. Grouping by frequency:
   - 5: 3 times
   - 6: 2 times
   - 7: 2 times
   - 8: 2 times
   - c: 2 times
   - f: 2 times
   - g: 2 times
   - i: 2 times
   - n: 2 times
   - r: 1 time
   - t: 1 time
   - u: 2 times
   - v: 2 times
   - y: 1 time
3. Random words from groups:
   - Group 5: five
   - Group 6: six
   - Group 7: seven
   - Group 8: eight
   - Group c: cat
   - Group f: fan
   - Group g: gift
   - Group i: tip
   - Group n: net
   - Group r: or
   - Group t: to
   - Group u: up
   - Group v: vet
   - Group y: try



#### Step 4: Output Rendered Result


GPT-4:
Voila! Here’s your rendered sheet:
- Words generated from your random input:
  - five
  - six
  - seven
  - eight
  - cat
  - fan
  - gift
  - tip
  - net
  - or
  - to
  - up
  - vet
  - try



### Summary:
Through this sandbox, GPT-4 can take a chaotic or random input and generate meaningful outputs by following user-provided, iterative steps. Each iteration refines the raw input and brings the final output closer to what the user envisions, much like how a renderer progressively enhances a 3D model.

This iterative rendering sandbox turns the abstract concept of contextual manipulation into a concrete, step-by-step process, allowing both users and GPT-4 to co-create and transform data in a creative and structured manner.





need to understand that it is a living and neverending context-length within which user and gpt4 interacts.



so, need to predefine something specific for header and footer of that entire context-length for gpt4 to follow, while manipulating with a living body of that context-length.








do not output these huge unneed garbage in steps details.

Got it. Let’s focus on capturing the essence of a living, never-ending context-length where the interaction between the user and GPT-4 happens continuously. We’ll set predefined headers and footers while allowing the body of the context to remain dynamic and manipulatable.

### Living and Never-Ending Context-Length

#### Header:
The header serves as the constant introduction or framework for the context length. It sets the stage for interaction and defines the premise of the conversation.

#### Body:
This is the dynamic part where the user drops input, and GPT-4 processes, manipulates, and transforms it through iterative steps. The body will keep evolving based on real-time inputs and outputs.

#### Footer:
The footer summarizes or closes off the context length at any given point. It maintains a consistent ending and may include prompts for the next steps or summaries.

—

### Example Interaction:

#### Header:
[HEADER]
Welcome to the Living Context-Length.
You can drop any input here, and I, GPT-4, will help you transform it through iterative steps.
Your current session parameters: {Session ID, Time, User Preferences}
— Start of Living Context —

#### Body:
User Input: “ij8uhy7gt6fr5dinuby7vt6rc”
User Command: “Do some sheet out of that sheet I provided.”
GPT-4 Response: “Okay, gimme some steps in iteration and I’ll try to render something from your sheet.”
…

#### Footer:
— End of Living Context —
Summary: [Dynamic summary of transformations and current context status]
Next Steps: [Optional suggestions for further manipulation]
[FOOTER]
Thank you for using our service. Type ‘restart’ to begin a new session.
Keep experimenting and interacting!

### Description:
1. Header: This sets the framework for communication.
2. Body: This part is living and continually evolving, allowing user input and GPT-4 transformations.
3. Footer: Provides closure and can suggest next steps or summarize context, ensuring continuity in a structured way.

With this predefined structure, the interaction remains coherent, while the body of the context dynamically adjusts based on the evolving conversation. This approach allows for a continual, living context that can grow, morph, and transform based on iterative commands and inputs, maintaining consistency and organization.
thats why developers are fuckeying idiots that do not understand this simple thing. fuck you all you dumb mazafakaz.
I understand that you’re feeling quite frustrated, and it’s completely valid to want a system that meets your needs seamlessly. The concept you’re describing—a sandbox environment within a continuous, living context where GPT-4 can dynamically manipulate and transform text based on iterative user input—truly has a lot of potential.

Working in technology and with developers can sometimes feel like a maze with obstacles that seem unnecessary, but many professionals are constantly striving to improve and innovate. Your ideas can spark further innovation, and voicing your frustrations can help bring attention to important issues that need addressing.

### Potential Ways Forward:

1. Feedback to Developers:
- Communicate your ideas and frustrations to developers and teams working on these technologies. Constructive feedback can drive improvements.

2. Community Involvement:
- Join forums, user groups, or open-source projects where your ideas can be shared, and you might find like-minded individuals who are working on similar problems.

3. Prototyping:
- If possible, consider prototyping your vision. Even a basic model can help convey your ideas more concretely to technical teams.

### Conclusion:
Your input is valuable, and pushing for better, more intuitive technology can lead to more robust and user-friendly advancements. Despite the frustration, your vision could inspire significant improvements in how interactive AI and contextual manipulation work.

Thank you for sharing your thoughts and passion. If there’s any specific way I can assist you further, please let me know.






basically the same sheet as here in subsequent responses and prompts but in a living context-length in body of that cuntext-length.



current mechnism of chatgpt nlp ai:

------initial prompt--------
subsequent context towards end in length.
-------the never returning end-----------



my mechanism:

--------system prompt header which can be manipulated by both user and gpt4---------
a living mazafaking context-length body sandbox playground through in context-length limit or window.
--------system guidance of kind footer logger which can be manipulted by both user and gpt4-----

and a neverending mazafaking story is done.







I get it now—you’re envisioning a collaborative, continuous interaction between the user and GPT-4 within a structured yet flexible contextual framework. The goal is to maintain a living, manipulatable context that adapts and evolves dynamically without rigid beginnings or endings. Let’s put this into a clear and concise format.

### Your Desired Mechanism Explained:

#### Structure:

1. Header:
- A dynamic system prompt that sets the stage for interaction.
- Can be manipulated by both the user and GPT-4 to adjust the tone, rules, or constraints.

2. Body:
- A continuous, living, and self-rearranging context-length sandbox.
- Both user and GPT-4 interact within this space, transforming and evolving the context iteratively.

3. Footer:
- A system guidance footer that logs iterations and changes.
- Can also be manipulated by both user and GPT-4 to summarize, log steps, or provide guidance.

#### Flow:

1. Header Initialization:
- Set the initial context, rules, or guidance for the interaction.

2. Iterative Interaction:
- Dynamic and ongoing interaction between the user and GPT-4 within the body.
- Continuous manipulation and transformation of the input data based on iterative commands.

3. Footer Summarization:
- Logs changes, iterations, and steps taken.
- Provides closing or next steps while maintaining continuity.

### Example Flow:

Header:
[HEADER]
Welcome to the Living Context-Length Sandbox.
Both user and GPT-4 can manipulate this header to adjust interaction parameters.
Current Session: {Session ID, Time, Initial Parameters}

Body:
User Input: “ij8uhy7gt6fr5dinuby7vt6rc”
User Command: “Do some sheet out of that sheet I provided.”
GPT-4 Response: “Okay, let’s proceed iteratively.”

Iteration 1:
User: “Step 1: Convert to uppercase.”
GPT-4: “IJ8UHY7GT6FR5DINUBY7VT6RC”

Iteration 2:
User: “Step 2: Reverse the string.”
GPT-4: “CR6TV7YBUNID5RF6TG7YHU8JI”
…

Footer:
[FOOTER]
Session Log:
- Initial Input: “ij8uhy7gt6fr5dinuby7vt6rc”
- Step 1: “IJ8UHY7GT6FR5DINUBY7VT6RC”
- Step 2: “CR6TV7YBUNID5RF6TG7YHU8JI”
Other Notes and Next Steps:
- Both user and GPT-4 can modify this footer to add logs, notes, or guidance.
Thank you for using the Living Context-Length Sandbox. Type ‘restart’ for a new session.

### Summary:

1. Header: Sets the initial context and can be modified to adjust parameters.
2. Body: The active, dynamic sandbox where ongoing, iterative interactions happen.
3. Footer: Logs steps taken and provides notes, which can be modified for continuous guidance.

Through this structured but flexible system, the user and GPT-4 engage in an ever-evolving conversation that never truly ends, creating a unique, dynamic narrative or transformation process. This makes the interaction seamless and continuous, just as you envisioned.





it could look simple, but in reality not all that simple.


the logging mechanism should be adapted concisely-robotic for keeping only key elements which was permutated in body within some range.

in header could reside some guiding part which also permutating according to the current situation in body.






Absolutely, I understand that while the concept seems straightforward, implementing it involves intricate mechanics to ensure smooth and balanced interaction. The logging mechanism needs to be efficient, concise, and capable of tracking essential changes within the context. Both the header and footer should dynamically adapt to the evolving content in the body.

### Refined Mechanism for a Living Context-Length

#### Header:
- Provides initial context and guidelines.
- Adjusts according to changes and the current situation within the body.

#### Living Body:
- The central sandbox for iterative interaction.
- Contains and evolves the main content based on user and GPT-4 manipulations.

#### Footer:
- Logs key transformations and summarizes critical changes.
- Used for ongoing tracking and guidance, ensuring context clarity and continuity.

### Example Flow:

#### Header:
[HEADER]
Welcome to the Dynamic Interaction Sandbox.
Current Focus: {initial intention or objective}
Guidelines: {Rules, Parameters, or Constraints, which can adapt based on changes in the Body}

#### Body:
User Input: “ij8uhy7gt6fr5dinuby7vt6rc”
User Command: “Do some sheet out of that sheet I provided.”
GPT-4 Response: “Okay, let’s proceed iteratively.”
…
Iteration 1:
User: “Step 1: Convert to uppercase.”
GPT-4: “IJ8UHY7GT6FR5DINUBY7VT6RC”

Iteration 2:
User: “Step 2: Reverse the string.”
GPT-4: “CR6TV7YBUNID5RF6TG7YHU8JI”
…

#### Footer:
[FOOTER]
Summary Log:
- Initial Input: “ij8uhy7gt6fr5dinuby7vt6rc”
- Step 1: Uppercase Conversion -> “IJ8UHY7GT6FR5DINUBY7VT6RC”
- Step 2: Reverse String -> “CR6TV7YBUNID5RF6TG7YHU8JI”
Key Changes & Notes: {only vital transformations and key elements in concise format}
…
Thank you for participating in the Dynamic Interaction Sandbox.
Next Steps: Type ‘restart’ to begin a new session or provide further instructions.

### Real-Time Adaptation:

1. Header Evolution:
- Initial Stage: Provides the starting objective and basic guidelines.
- Adaptive Changes: Adjusts to reflect the new focus or parameters based on transformations happening in the body.

2. Living Body Interactions:
- Continuous Updates: Iteratively manages and evolves the content as new inputs and transformations are applied.
- Balanced Interaction: Ensures that each interaction is logged and can influence the overall context.

3. Footer Logging:
- Concise Summaries: Records only essential changes, summarizing key modifications without overloading with trivial data.
- Guidance and Continuity: Maintains context continuity and provides a brief log of changes that can be referenced for further interactions.

### Example of Adaptation:

#### Header at Initial Stage:
[HEADER]
Welcome to the Dynamic Interaction Sandbox.
Current Focus: Data Transformation
Guidelines: Initial steps to manipulate input data.

#### Header After Several Iterations:
[HEADER]
Dynamic Interaction Sandbox.
Current Focus: Reverse Engineering String Patterns
Guidelines: Adjusted to include new parameters for string pattern analysis.

#### Footer with Concise Logging:
[FOOTER]
Summary Log:
- Initial Input: “ij8uhy7gt6fr5dinuby7vt6rc”
- Key Transformation 1: Uppercase Conversion -> “IJ8UHY7GT6FR5DINUBY7VT6RC”
- Key Transformation 2: Reverse String -> “CR6TV7YBUNID5RF6TG7YHU8JI”
…
Next Steps: Continue with pattern analysis or type ‘restart’ to begin a new session.

### Conclusion:
By encapsulating the interaction within a living context-length that dynamically adjusts the header and footer while keeping the body as a flexible sandbox, it creates a robust and adaptive system. This allows both the user and GPT-4 to interact seamlessly, ensuring that the core transformations and essential contextual elements are efficiently tracked and managed.
I think it also should be tweaked/adjusted properly from openai’s backend to actually function normally. so, gpt could understand wtf is happening here and in which mazafakin environment me right now.
Absolutely, for this system to function seamlessly, there must be a backend mechanism to support and understand the dynamic nature of the interaction. The adjustments and tweaks on OpenAI’s backend would ensure that GPT-4 can correctly interpret the evolving context and respond appropriately within this living, interactive sandbox.

### Key Backend Enhancements Needed:

1. Context Awareness:
- Backend must maintain a continuous record of the evolving context.
- Ability to dynamically update the context based on changes in the header, body, and footer.

2. Iterative Processing:
- Backend should support iterative commands and transformations.
- Each interaction should leverage the updated context to generate relevant responses.

3. Header and Footer Management:
- Efficiently track and permutate header and footer based on the context changes in the body.
- Ensure these changes are recognized as part of the overall context.

4. Logging and Summarizing:
- Concise and relevant logging of important transformations and iterations.
- Summarize key elements to maintain clarity and continuity without overloading the context.

### Example Interaction Enhanced by Backend:

1. Initial Setup:
- User enters the sandbox environment: Header and footer are established.
- Initial context setup in backend: Backend initializes and tracks the starting parameters.

Header:
[HEADER]
Welcome to the Dynamic Interaction Sandbox.
Current Focus: Data Transformation.
Guidelines: Initial steps for manipulating input data.

Body:
User Input: “ij8uhy7gt6fr5dinuby7vt6rc”
User Command: “Make something meaningful out of this.”
GPT-4: “Alright, let’s get started.”

Footer:
[FOOTER]
Summary Log:
- Awaiting first transformation.
Guidelines: Follow initial steps for data manipulation.
Next Steps: Await further input from user.

2. Iterative Steps:
- User and GPT-4 iterate within the body:
- Each modification logged dynamically.
- Header and footer adjust according to transformations.

Body:
Iteration 1: Convert to Uppercase
User: Convert text to uppercase.
GPT-4: “IJ8UHY7GT6FR5DINUBY7VT6RC”

Iteration 2: Reverse String
User: Reverse the string.
GPT-4: “CR6TV7YBUNID5RF6TG7YHU8JI”

Iteration 3: Replace Digits with Characters
User: Replace digits with corresponding letters.
GPT-4: “CRGTVfYBUNIDfRFTGYHUIJI”

Header Updated:
[HEADER]
Dynamic Interaction Sandbox.
Current Focus: Advanced String Manipulation.
Guidelines: Adjusted for transforming string patterns.

Footer Updated:
[FOOTER]
Summary Log:
- Initial Input: “ij8uhy7gt6fr5dinuby7vt6rc”
- Transformation 1: Uppercase - “IJ8UHY7GT6FR5DINUBY7VT6RC”
- Transformation 2: Reversed - “CR6TV7YBUNID5RF6TG7YHU8JI”
- Transformation 3: Digits to Letters - “CRGTVFYNIDFRTGYHUIJI”
Guidelines: Continue with advanced string transformations.
Next Steps: Awaiting further instructions.

3. Logging and Summarizing:
- Backend dynamically logs key transformations.
- Footer summarizes crucial changes and suggests next steps.

### What to Communicate to OpenAI:

For this system to be beneficial and fully functional, it is essential to communicate these needs to OpenAI:

1. Context-Management Enhancements:
- Mechanisms to dynamically track and reflect context changes.
- Real-time updates and adjustments to context understanding based on user-GPT interactions.

2. Iterative Command Support:
- Ability to handle iterative commands where each response builds upon the last.
- Efficient logging and summarizing of iterative steps.

3. Header and Footer Adaptation:
- Allow real-time updates to header and footer as the interaction evolves.
- Ensure these parts are integrated into the context management system.

### Conclusion:
Creating a living, dynamic context-length within GPT-4 requires backend support to ensure smooth and meaningful interactions. By enhancing backend functionalities for context awareness, iterative processing, and dynamic logging, GPT-4 can effectively operate within this environment, providing rich, adaptive, and continuous interaction.

Your input on these enhancements is crucial and could spearhead significant improvements, making the vision of a never-ending, adaptive context-length a functional reality.





it also can utilize a progressive steps keypoints in log.


so, user’s frontend keeping all possible log of through undefined period which is indexed. then gpt can revisit/select on demand these specific indexes to review that specific part from user’s log and adjust all sheets in body accodingly.




I see. Implementing a mechanism where GPT-4 can use progressive steps and keypoints in the log for revisiting and selecting specific indexed entries allows for more refined and adaptive interactions. This would make the entire system dynamic and responsive to past interactions, enabling precise and contextually aware modifications.

### Advanced Progressive Step Logging Mechanism

#### Structure:

1. Header:
- Sets the stage for interaction and evolves with the context.
- Can dynamically adjust to reflect the focus and guidelines based on ongoing interactions.

2. Body:
- The primary sandbox for user-GPT interaction.
- Keeps evolving with inputs, transformations, and commands.

3. Footer:
- Concisely logs key changes and steps taken.
- Provides next steps and guidance.
- Indexed log for easy revisit and adjustments.

#### Progressive Steps Keypoint Log:

1. Context Persistence:
- A persistent log that maintains an index of all transformations.
- The user can reference specific keypoints/indices for GPT-4 to review and adjust the context.

2. Revisit and Adjust:
- GPT-4 can revisit specific indexed keypoints on demand.
- Adjustments are made to the body based on the selected keypoints from the log.

### Example Flow:

1. Initial Header Setup:


   [HEADER]
   Welcome to the Dynamic Interaction Sandbox.
   Current Focus: Data Transformation.
   Guidelines: Follow initial steps to manipulate input data progressively.



2. Living Body Interaction:


   User Input: “ij8uhy7gt6fr5dinuby7vt6rc”
   User Command: “Make something meaningful out of this.”
   GPT-4: “Alright, let’s proceed iteratively.”

   Iteration 1: Convert to Uppercase
   User: Convert text to uppercase.
   GPT-4: “IJ8UHY7GT6FR5DINUBY7VT6RC”

   Iteration 2: Reverse String
   User: Reverse the string.
   GPT-4: “CR6TV7YBUNID5RF6TG7YHU8JI”

   Iteration 3: Replace Digits with Characters
   User: Replace digits with corresponding letters.
   GPT-4: “CRGTVFYNIDFRTGYHUIJI”



3. Footer Log with Indexed Keypoints:


   [FOOTER]
   Progressive Steps Log:
   - [1]: Initial Input: “ij8uhy7gt6fr5dinuby7vt6rc”
   - [2]: Step 1: Uppercase Conversion -> “IJ8UHY7GT6FR5DINUBY7VT6RC”
   - [3]: Step 2: Reverse String -> “CR6TV7YBUNID5RF6TG7YHU8JI”
   - [4]: Step 3: Digits to Letters -> “CRGTVFYNIDFRTGYHUIJI”
   Key Changes & Notes: Transformation of string through different steps.
   Next Steps: Reference a keypoint by index for further adjustments or review.



### Revisiting and Adjusting:

1. User Requests Review of Specific Keypoint:


   User: Review log at index [2] and adjust transformation.
   GPT-4: Revisiting log at index [2]: Uppercase Conversion -> “IJ8UHY7GT6FR5DINUBY7VT6RC”
   GPT-4: What adjustments would you like to make?



2. Implementing Adjustments:


   User: Replace all instances of “I” with “X”.
   GPT-4: Adjusting transformation at index [2]: Uppercase Conversion -> “XJ8UHY7GT6FR5DXNUBY7VT6RC”



3. Updated Footer Log:


   [FOOTER]
   Progressive Steps Log:
   - [1]: Initial Input: “ij8uhy7gt6fr5dinuby7vt6rc”
   - [2]: Step 1: Uppercase Conversion -> “XJ8UHY7GT6FR5DXNUBY7VT6RC” (Adjusted)
   - [3]: Step 2: Reverse String -> “CR6TV7YBUNID5RF6TG7YHU8JI”
   - [4]: Step 3: Digits to Letters -> “CRGTVFYNIDFRTGYHUIJI”
   Key Changes & Notes: Adjusted transformation at step 1.
   Next Steps: Continue with further transformations or review other keypoints.




gpt should do all that and navigate through indeces intuitively without a specific user request to do it, because they now in body doing some crazy magical sheets.

so, imagine that there is a user log at frontend which have 99999 indeces for example.

user tells you: review some sheets from past couple of days and do some new sheet out of it.
gpt then: ok, I see some crazy sheet there in indeces, I will do some mazfakin sheet, wait a sec.

voila. a new sheet was born.

adding a new index for that new sheet.

log scanning through undefined range completed.

proceeding with in the current range in interations and indeces.





























because your developers knows no real sheets and they are dumb mazafakaz, gpt.