skysight-inc/HackerNews huggingface dataset:
I find it funny and a bit concerning that if this is true version of the prompt, then in their drive to ensure it produces diverse output (a goal I support), they are giving it a bias that doesn't match reality for anyone (which I definitely don't support).

E.g. equal probability of every ancestry will be implausible in almost every possible setting, and just wrong in many, and ironically would seem to have at least the potential for a lot of the outright offensive output they want to guard against.

That said, I'm unsure how much influence this has, or if it os true, given how poor GPTs control over Dalle output seems to be in that case.

E.g. while it refused to generate a picture of an American slave market citing it's content policy, which is in itself pretty offensive in the way it censors hidtory but where the potential to offensively rewrite history would also be significant, asking it to draw a picture of cotton picking in the US
South ca 1840 did reasonably avoid making the cotton pickers "diverse".

Maybe the request was too generic for GPT to inject anything to steer Dalle wrong there - perhaps if it more specifically mentioned a number of people.

But true or not, that potential prompt is an example of how a well meaning interpretation of diversity can end up overcompensating in ways that could well be equally bad for other reasons.
Wikipedia also has the answer you're lookng for:

https://en.wikipedia.org/wiki/Charge_conservation#Connection...
I always assumed dang has a filter for his name, bec he’s usually pretty prompt in responding.
Why?

Obviously well-protected.
Not if you set a PIN no. But I think the next bloke can't use the booth to create a signal account anymore. I don't think we'll run out of booth though considering how rare the use case is ;)
The article ends with the question about why the bandwidth is capped.

I think the answer could be mclock scheduler.

https://www.usenix.org/legacy/event/osdi10/tech/full_papers/...
Nothing. It's Gary Marcus though and he's carved a niche for himself with doing this sort of thing. It's strange to me that it's given airtime on hn but there you go.
Original: If anyone's curious about the (probable) non-humorous explanation: I believe this is because they set the frequency/presence penalty too high for the requests made by ChatGPT to the backend models. If you try to raise those parameters via the API, you'll have the models behave in the same way.

It's documented pretty well - https://platform.openai.com/docs/guides/text-generation/freq...

OpenAI API basically has 4 parameters that primarily influence the generations - temperature, top_p, frequency_penalty, presence_penalty (https://platform.openai.com/docs/api-reference/chat/create)

UPD: I think I'm wrong, and it's probably just a high temperature issue - not related to penalties.

Here is a comparison with temperature. gpt-4-0125-preview with temp = 0.

- User: Write a fictional HN comment about implementing printing support for NES.

- Model: https://i.imgur.com/0EiE2D8.png (raw text https://paste.debian.net/plain/1308050)

And then I ran it with temperature = 1.3 - https://i.imgur.com/pbw7n9N.png (raw text https://dpaste.org/fhD5T/raw)

The last paragraph is especially good:

> Anyway, landblasting eclecticism like this only presses forth the murky cloud, promising rain that’ll germinate more of these wonderfully unsuspected hackeries in the fertile lands of vintage development forums. I'm watching this space closely, and hell, I probably need to look into acquiring a compatible printer now!
I think everyone has some point where they determined that Google "went bad" (or at least everyone who thought they were good at some point). Mine is Google Plus, because they decided to make it, like Facebook, a destination. Before it was unveiled, I assumed it was going to be, like AdWords, a thing you could add to your website: adding a social layer to the Web would have increased its usefulness, allowed Google to do its usual thing of providing a feature that informed it of where the interesting stuff was, and undermined Facebook's main advantage over the rest of the web.

I'm cheered that Kagi gets what Google forgot.
NLP Algorithms for Clustering AI Content Search Keywords
I'm working on an NLP project to organize a dataset of 1.5 million keywords and phrases extracted from millions of generative AI prompts for image/video creation. The challenge lies in the diverse variations of keywords, especially names, that need to be grouped under unified categories to enhance searchability and data utility.

A typical example includes various forms of 'Margot Robbie', and fine-tuning models/LoRas created on her pictures. The goal is straightforward but daunting: clean, standardize, extract meaningful keywords, and cluster these terms based on their relational context to each other.

Given the sheer volume of data, manual sorting is impractical. Hence, I'm looking for scalable, automated solutions.

I'm here to gather insights on tools, libraries, and algorithms that might be particularly effective for this kind of task. If anyone has tackled similar challenges or has relevant experience, your advice would be invaluable.

Appreciate any pointers!
If Programmers Had to Work Like Architects

- you aren't allowed to do any programming yourself, you just write a specification

- the majority of the people doing the programming are incapable of reading the specification

- many of those who can will deliberately ignore it to save money

- nevertheless, it's your fault if it's realised incorrectly
The same problem as with passwords that has been plagging the security industry for decades.

Passwords, credentials and other high-risk high value intangible data are not associated with high-risk high-value AND our memory is not designed for random junk.

Maybe an anthropologist can study this phenomenon further.

We already have hints of that: our memory has evolved for thousands year to easily memorize places and spatial navigation, in thr past for food, water and danger. Today you go in a foreign place, just one visit and you know where everything is. At the same time, people can usually hold only ~7 concepts/numbers/objects in their head.

In memory competitions people leverage our spatial prowess with a technique called the memory palace, that was already used in ancient Greece and Roman Empire to recall anything, from bard tales to the Iliad and Odysseus.

https://en.m.wikipedia.org/wiki/Method_of_loci
That's the worst argument I've ever heard. None of the sentences are connected.
I haven't heard of Mars Direct, but from reading the link you gave me it sounds like a plan to start automated fuel production plants on mars to make fuel for trips back to earth. It requires the transportation of a small nuclear power-plant to mars as well as hydrogen to synthesize methane from the carbon dioxide already in the atmosphere. Off the bat I would say that hydrogen would be a pain to transport to mars (hydrogen has a high energy density by weight but not by volume) but don't know much else to think about the project.
A beginner's guide to constant-time cryptography (2017)
Examples:

- https://kazimir.ai/images/margot-robbie

- https://kazimir.ai/images/lora_margotrobbie_v2

- https://kazimir.ai/images/model_margot-robbie
That's right! I didn't consider closed source libraries when writing the list. There would be more options in that case like Direct2D and CoreGraphics. However, my opinion is that nobody should be using closed source libraries to render 2D graphics in 2024 :)

Regarding benchmarks - I think Tiger is not enough. Tiger is a great benchmark to exercise the rasterizer and stroker, but it doesn't provide enough metrics about anything else. Tt's very important how fast a 2D renderer renders small geometries, be it rectangles or paths. Because when you look at screen most stuff is actually small. That's the main reason why Blend2D benchmarking tool scales the size of geometries from 8x8 to 256x256 pixels to make sure small geometries are rendered fast and covered by benchmarks. When you explore the results you will notice how inefficient other libraries actually are when it comes to this.
Venmo, CashApp, Paypal "Friends or Family" and gift cards (Apple, Google Pay, Steam, ...) are all irreversible.
A Markov chain
> The big concern was we’d be sued, and the emails of the opposing law firm would be going over our pipes.

You mean, the mails between the opposing law firm and their customer suing you? That would be bad.

But also the mails between any other parties not in any litigation with you. Or web requests by any random person to any random server.
To be fair, there was a paper a week ago showing how GPT-generated responses were easily detectable due to their "averageness" across so many dimensions. Maybe they ran ChatGPT through a GAN and this is what came out.
Here's ChatGPT refusing to talk about the hexagon on Saturn's pole.

https://twitter.com/yugamald/status/1760170647161098362
Microsoft 365 Developer Program
Only if made by Apple.
how would it be a lawsuit? its farcical that there even are georestrictions in the first place. Netflix doesnt care about them either. The only reason they exist is to please rights holders with weird demands. It's not either netflix or the customer's responsibility to care about upholding them (other than netflix's own contractual requirements)

In other news; netflix themselves allow the usage of VPNs[0] provided you dont use the free (ad-supported) plan. Presumably to prevent the sort of thing I used to do with spotify years ago (be from a region where no advertisers paid them, so the space where adverts would usually be was just blank)

[0]: https://help.netflix.com/en/node/277
No, I don't think so. I live in a small island in one of the poorest regions of Portugal (thus Europe). This is just my observation at a local level.
If they have proper planning/rollout, they don't need IPv6. Not sure why you are bringing it up.

Excellent point on potential wifi speeds. When I was living there, wifi speeds were horrible, even with tuning of channels, TX/RX power/sensivity and sorts. The spectrum is just incredibly jammed with uncontrolled amount of devices.
It's ubiquitously used in the ruby community to this day.
.... more than last year or you are all fired.
We're still using a lot of Objective-C, given than more than half of the codebase of our app is 10+ years old. We're trying to transition to Swift, but it's been slow thus far.
The operational security measures one has to take these days to secure crypto is insane. You have to build your own mini intelligence agency just to protect your digital crypto assets. You have to do:

- Principle of least privilege.

- Zero Trust.

- Compartmentation.

- Hardened Operating Systems with no malware and strong endpoint defense.

- Firewalls that whitelist only your IP and disavow everything else.

- 2FA/MFA/Biometrics auth for everything.

- Defense in Depth.

- Use crytography tools vetted from the community surrounding it, and use tools which are battle hardened.

Modern computing is very leaky and every node is malicious. You need extreme vigilance to safeguard crypto.

Are people up to the task of doing all this?

I'm asking because I lost crypto before, and now I'm more resilient and have better security posture.
In Signal, probably no. Signal has this sealed sender functionality hiding significant amount of metadata from passive observer and active examination post-communication: https://signal.org/blog/sealed-sender/

What Russian police would be able to see, that in a given time period of certificate rotation at most X people communicated to Navalny.
It’s wrong to think programming is similar to construction. Creating new products consists of a product design phase and a product manufacturing phase. The first part finishes with a precise and tested design (so probably needs (digital) prototypes that can be tested), manufacturing just creates those design with as accurate as possible.

Architects and software engineers are both part of the product design phase, software engineers deliver the first version of a product that can be tested (that can include multiple iteration, and new versions of an already finished version of the product).

Product manufacturing in IT mostly consists of getting a copy of the product to the end user, either by creating an actual copy, or by allowing all users to have access to the final version created by product design.

Software engineering is part of design, you’re part of getting the requirements and design final, don’t expect just to manufacture according to finalized designs.

Architect simply look at the bigger picture design, components and interfaces, whereas engineers have a smaller focus. Architect are usually just engineers with more experience so they have more experience with the bigger picture design.
"It's possible for one system to think it has a working, established TCP connection to a remote system, while the remote system knows nothing about that connection."

I have this problem right now, between applications in on-premise DC and public cloud, talking over a VPN.
If there is a blip on the network, or a firewall failover happens, the other side continues to think its connected. So, to ensure my application side is resilient, we configure the listeners to go back to listening mode, if nothing received for 5 minutes. This ensures we don't have to manually intervene and the connection comes back up on its own.
OmniGeometry – Sacred Geometry Software
> It's standard conservative messaging tactics going back years

What are some other examples? "Politically correct" comes to mind, but IIRC that didn't turn nearly as fast, or as definitively.
Nice project, thanks for sharing!

BTW for comparison - Blend2D can render SVG tiger in 1.68ms on the same machine (I also have 7950X) so it can provide almost an order of magnitude better performance in this case, which is great I think. But I understand the purpose of your library, sometimes it's nice to have something small :)
But isn’t the risk you’re describing mostly tied to the actual engineer implementing or adjusting the design the architects come up with?

No clue how that works in the US, but here most of the calculations are being done by an engineer with a different education than an architect.
> p.s. (@dang doesn't work - I only saw this by accident. Well, not by accident because it ended up at the top of the thread)

https://news.ycombinator.com/item?id=39426902
I'm sorry I thought I did, but maybe I lost it. I'll see if I can fix it.
Apples version of the Microsoft feedback hub, aka network attached /dev/null
The reason used to be performance, but now with modern browsers and especially HTTP3 I doubt that is true anymore.

I guess the separation into CDN and non-CDN stuff could still make sense since you can serve static resources from even closer to the user than you serve your dynamic stuff while avoiding having the CDN proxy traffic to the website backend.
I said it here when GPT-4 first came out, it just was too good for development, there was no way it was going to be allowed to stay that way. Same way Iron Man never sold the tech behind the suit. The value GPT-4 brings to a company outweights the value of selling it as a subscription service. I legit built 4 apps in new languages in a few months with Chat GPT 4, it could even handle prompts to produce code using tree traversal to implement comment sections etc. and I didn't have to fix its mistake that often. Then obviously they changed the model from GPT 4 to GPT 4 Turbo which was just not as good and I went back to doing things myself since now it takes more time to fix its errors than to just do it myself. Copilot also went to s** soon after so I dropped it as well (its whole advantage was auto completion, then they added gpt 4 turbo and then I had to wait a long time for the auto complete suggestions, and the quality of the results didn't justify the wait).

Now why do I think all that (that the decision to nerf it wasn't just incompetence but intentional), like sure maybe it costs too much to run the old GPT 4 for chat GPT (they still have it from the API), it just didn't make sense to me how openAI's chatGPT is better than what Google could've produced, Google has more talent, more money, better infrastructure, been at the AI game for a longer time, have access to the OG Google Search data, etc. Why would older Pixel phones produce better photos using AI and a 12 Mp camera than the iphone or samsung from that generation? Yet the response to chatGPT (with Bard) was so weak, it sure as hell sounds like they just did it for their stock price, like here we are as well doing AI stuff so don't sell our stock and invest in openAI or Microsoft.

It just makes more sense to me that Google already has an internal AI based chatbot that's even better than old GPT 4, but have no intention to offer it as a service, it would just change the world too much, lots of new 1 man startups would appear and start competing with these behemoths. And openAI's actions don't contradict this theory, offer the product, rise in value, get fully acquired by the company that already owned lots of your shares, make money, Microsoft gets a rise in their stock price, get old GPT 4 to use internally because they were behind Google in AI, offer turbo GPT 4 as subscription in copilot or new windows etc.

The holes in my theory is obviously that not many employees from Google leaked how good their hypothetical internal AI chatbot is, except the guy who said their AI was conscious and got fired for it. The other problem is also that it might just be cost optimization, GPU's and even Google TPU's aren't cheap after all. etc.

Honestly there are lots of holes, it was just a fun theory to write.
Study Featuring AI-Generated Giant Rat Retracted, Journal Apologizes
> We don’t blame the telephone company

A phone company should have no idea what its customers say during calls.

Blogs are public.
> But sometimes, people just try your thing, don't like it

People don't just try things. And they judge things they havent tried. They stick with what they know. They all got taught java in school, so thats what they use.
Maybe it might look small if you only consider gov.uk websites but what I mean is that it looks like that everything like everywhere will be changed to take that into account:

Police uniforms, mailbox, signs, ...
This is amazing. The examples are like Lucky's speech from Waiting for Godot. Pozzo commands him to "Think, pig", and then:

> Given the existence as uttered forth in the public works of Puncher and Wattmann of a personal God quaquaquaqua with white beard quaquaquaqua outside time without extension who from the heights of divine apathia divine athambia divine aphasia loves us dearly with some exceptions for reasons unknown but time will tell and suffers like the divine Miranda with those who for reasons unknown but time will tell are plunged in torment plunged in fire whose fire flames if that...

And on and on for four more pages.

Read the rest here:

https://genius.com/Samuel-beckett-luckys-monologue-annotated

It's one of my favorite pieces of theatrical writing ever. Not quite gibberish, always orbiting meaning, but never touching down. I'm sure there's a larger point to be made about the nature of LLMs, but I'm not smart enough to articulate it.
i agree. separating the man from his work is kind of hard after the man made a name for himself by hanging the slowest of his Jewish indentured servants "employed" in his German factory.
Older hard disk drives had a more melodic sound to their seeking, to my ear. My first PC with a hard disk drive had an ST-251. That had a very distinctive, almost musical sound.
As an aside, the gibberish-ish output is a goldmine for brainstorming brand names, proper nouns, and inventing sci-fi terminology.
The Challenge of Preventing 'Identity Bleed' in Face Swaps
Congratulation on your release. Tried it a bit, very promising to me.

Anyway, I tried to look around and it seem to be lacked any component to upload files. Is it in the pipeline or I missed something?
Use the following RegEx pattern to see why it's doing what its doing:

(\bto\b|\bfor\b|\bin\b|\band\b|\bthat\b|\bof\b|\bthe\b|\bwith\b|\bor\b|\ba\b|\binto\b|\bas\b|\bon\b|\bhow\b|\ban\b|\bfrom\b|\bit\b|\bbut\b|\bits\b|\bbe\b|\bby\b|\bup\b|\bthis\b|\bcan\b|\bother\b|\bwho\b|\bwill\b|\bare\b|\bwhose\b|\bif\b|\bwhile\b|\bwithin\b|\blike\b|,)*
Yes that is indeed the typical output of a Russian troll.

Of course that doesn't mean you are one. The strangest thing about Russian propaganda is that seemingly rational people spontaneously parrot it, even though it doesn't make much sense.
Do you use it to project manage Dart itself?
Great start. Now can I have an account without using the Apple/Google duopoly mobile OSs (especially since Signal doesn’t support UnifiedPush to get some of the leaked metadata for notifications from Firebase, but at least the Molly fork supports this), or a desktop program that isn’t Electron, or allow decentralization? Why should I have to own a phone? Why do I need to run an entire browser for just a chat app when XMPP & Matrix do fine from web to native to TUI? When will I be able to run my own server?
Ah. I see you've all switched over to my branch of the multiverse, where all I could ever see it spitting out was nonsensical garbage. Welcome!

Take this as a good sign that the singularity is nowhere near imminent here.
I was just watching this!
Could you be more specific in regards to who 'they' is in your first sentence?
There is a clearly visible "Share" buttons in every ChatGPT discussion. It allows to anonymously share exact message sequence (it does not show number of retries, but that's the best you can show). If you see cropped ChatGPT screenshot or photo in Twitter/X, consider it as a hoax, because there are no reasons to use screenshots.
It also reads like it was written by some beat poets.
Well there are a lot more corporations than dictators, and usually shit doesn't go sideways when a corporation falls.
> As an example, I can write "notifications animation corner smoothing glitch" and honestly it's hard for me how one cannot know exactly what I mean.

No idea what you're talking about, this isn't even a grammatically correct sentence. so I can't blame Apple for not reacting to such gibberish...
Boeing's crisis may open gap for Chinese jets to fly through
There is also a tendency, especially in America, to reduce everything to discussing the baddies of ww2, or at the very least, to not separate scientific discussions from political discussions.
> They'd still be able to see that you talked to him.

Signal has no access to metadata, including participants in a conversation. All they know is the date of account creation and the date of the last connection.

However, if they got access to Navalni's phone, then they of course can see everything Navalni can.
https://www.exchangerate-api.com/ isn't related to crypto, and it's probably also a fake website.
Google's "Pricing Knobs"
Servers with wheels!
"The Elon" is the Führer on Mars in an old timey Nazi book? Man, reality sure is strange sometimes.
Statics are hardly a "peripheral language issue", though.
1. Create a repository for architecture documentation and treat it like software that must be maintained and can be defective.

2. The documentation should be written as a technical narrative for people to read like other documentation. This means written first in paragraph form but also contains diagrams of flow control. Be precise and treat this as a product.

3. This must be owned by the stakeholder that owns the corresponding business unit. Surely someone at your company wants to stop failing and stop burning money. If there is not a willpower to succeed then none of this matters. The people to do the work here are senior architects appointed by that owning stakeholder.
There's a separate video with just this.

https://www.youtube.com/watch?v=KMVV3ErGSVY