MurphyA/hacker-news huggingface dataset:
by sipofwater | 2025-11-12 10:54:40+00:00
Android Debug Bridge (https://developer.android.com/tools/adb) using two Android smartphones and Termux (https://github.com/termux/termux-app):

* Search for "Smartphone-1 to Smartphone-2" "adb tcpip 5555" in "Motorola moto g play 2024 smartphone, Termux, termux-usb, usbredirect, QEMU running under Termux, and Alpine Linux: Disks with Globally Unique Identifier (GUID) Partition Table (GPT) partitioning": https://old.reddit.com/r/MotoG/comments/1j2g5gz/motorola_mot... (old.reddit.com/r/MotoG/comments/1j2g5gz/motorola_moto_g_play_2024_smartphone_termux/)

* Search for "termux-adb" in "Motorola moto g play 2024 Smartphone, Android 14 Operating System, Termux, And cryptsetup: Linux Unified Key Setup (LUKS) Encryption/Decryption And The ext4 Filesystem Without Using root Access, Without Using proot-distro, And Without Using QEMU": https://old.reddit.com/r/MotoG/comments/1jkl0f8/motorola_mot... (old.reddit.com/r/MotoG/comments/1jkl0f8/motorola_moto_g_play_2024_smartphone_android_14/)
by zygentoma | 2025-11-12 10:55:01+00:00
Well, it's certainly possible, as the guys over at terminal.shop let you enter payment information via SSH. :)

But on the one hand we don't want to handle credit card information _at all_. And then, stripe does not let you give them credit card data directly – at least in the default workflow.

(And we can offer alternative payment methods offered by stripe (e.g. Apple Pay, SEPA direct debit, …) much more naturally than what would be possible in the terminal.)
by krecharles | 2025-11-12 10:55:44+00:00
I realise I may not have explained my motivation enough. Basically I do see the vision of companies like Delphi or SuperMe. It makes a lot of sense to organise information around the abstraction of a human rather than a blog post or book. And I believe I have information that is relevant to some people, but right now it's just not accessible to anyone. However, it could be that the process of writing a blog post is just necessary for me to organise my information, and thus also a necessary step for handing a digital twin that information for distribution. So in that sense I might just be hoping for a tool that generates blog posts out of my experiences.
by Amezarak | 2025-11-12 10:56:12+00:00
> But why would we care what Nietzsche would think and for whom he wrote?

Because we're reading an article titled "Why Nietzsche matters in the age of artificial intelligence": the author ought then to know what he's talking about.

This is reasonably common with all pop writers about any philosopher, but it's nearly ubiquitous for Nietzsche. For a long time, I found this baffling. You can understand why someone might be confused about what Heidegger or Kant meant about something. Nietzsche writes very clearly and simply. This led me to realize that after a certain point, understanding has much less to do with cognitive capability and more to do with your emotional background and prejudices, something akin to what Nietzsche called the "intellectual conscience." I no longer actually read any article on any popular website about Nietzsche because you can be sure they don't have anything interesting to say; they don't understand the guy they're talking about.
Show HN: Tokenflood – simulate arbitrary loads on instruction-tuned LLMs
by twerkmeister | 2025-11-12 10:58:12+00:00
Hi everyone, I just released an open source load testing tool for LLMs:

https://github.com/twerkmeister/tokenflood

=== What is it and what problems does it solve? ===

Tokenflood is a load testing tool for instruction-tuned LLMs hat can simulate arbitrary LLM loads in terms of prompt, prefix, and output lengths and requests per second. Instead of first collecting prompt data for different load types, you can configure the desired parameters for your load test and you are good to go. It also let's you assess the latency effects of potential prompt parameter changes before spending the time and effort to implement them.

I believe it's really useful for developing latency sensitive LLM applications and * load testing self-hosted LLM model setups * Assessing the latency benefit of changes to prompt parameters before implementing those changes * Assessing latency and intraday variation of latency on hosted LLM services before sending your traffic there

=== Why did I built it? ===

Over the course of the past year, part of my work has been helping my clients to meet their latency, throughput and cost targets for LLMs (PTUs, anyone? ). That process involved making numerous choices about cloud providers, hardware, inference software, models, configurations and prompt changes. During that time I found myself doing similar tests over and over with a collection of adhoc scripts. I finally had some time on my hands and wanted to properly put it together in one tool.

=== What am I looking for? ===

I am sharing this for three reasons: Hoping this can make other's work for latency-sensitive LLM applications simpler, learning and improving from feedback, and finding new projects to work on.

So please check it out on github (https://github.com/twerkmeister/tokenflood), comment, and reach out at thomas@werkmeister.me or on linkedin(https://www.linkedin.com/in/twerkmeister/) for professional inquiries.

=== Pics ===

image of cli interface: https://github.com/twerkmeister/tokenflood/blob/main/images/...

result image: https://github.com/twerkmeister/tokenflood/blob/main/images/...
by scoot | 2025-11-12 10:58:47+00:00
Pleased to meet someone else who suffers from "visual snow". I'm fortunate in that like my tinnitus, I'm only acutely aware of it when I'm reminded of it, or, less frequently, when it's more pronounced.

You're quite correct that our "reality" is in part constructed. The Flashed Face Distortion Effect [0][1] (wherein faces in the peripheral vision appear distorted due the the brain filling in the missing information with what was there previously) is just one example.

[0] https://en.wikipedia.org/wiki/Flashed_face_distortion_effect [1] https://www.nature.com/articles/s41598-018-37991-9
by tedggh | 2025-11-12 10:59:37+00:00
I’ve been using an inexpensive Epson V600, I think I paid under $300 and it came with a license for the scanning software which was another $50-$100 value. I also got $25 anti newton ring inserts. The process is SLOW but the quality I think is excellent unless you need to print XL and show your work at MOMA.
by abanana | 2025-11-12 11:00:10+00:00
I think your point is just emphasizing how bad these native datepickers are. They are specifically used by the browsers for <input type="date">. Their purpose is to enter a date. That's why their use in this way is absolutely standard (far more so than the term "calendar picker" as far as I'm aware. The user's not choosing a calendar, they're choosing a date). That doesn't mean the choice of input method can't be improved, but highlighting it as a pet peeve won't make it happen at scale. What do you suggest instead?

The answer shouldn't be "create something custom for entering dates that don't happen to be in the current year", it should be "fix the datepicker so it's fit for purpose".
by igravious | 2025-11-12 11:00:15+00:00
I've successfully built projects that I had previously abandoned because the amount of tangential learning required felt overwhelming. With AI assistance, I'm now reaching goals that were once just beyond my grasp, which is an incredible feeling.

I think those who dismiss 'vibe coding' haven't tried to use it for something truly beyond their current skill set. There's also an implicit sneer in the criticism—a kind of 'Oh, so you need an AI to help you code?'—that misses the point entirely.

[btw: I used Deepseek to reword my original reply :)]
by vswaroop04 | 2025-11-12 11:00:46+00:00
Git Quick is a modern CLI tool that speeds up repetitive Git commands with smart defaults and AI-powered commit messages. It combines git add, commit, and push into a single command while generating meaningful commit messages from your code changes.

Key Features:

- Single command workflow: Just run 'gq' to stage, commit with AI-generated message, and push - AI-powered commits: Uses Ollama (local, free), OpenAI, or Anthropic to generate contextual commit messages from diffs - Works immediately: Smart fallback mode requires no setup - AI is optional - Commit history visualization: 'gq story' shows compact, colorized commit summaries grouped by date, author, or type - Time tracking: Built-in development time tracking per branch with detailed reports - Branch sync: 'gq sync' safely updates all local branches with conflict detection - Cross-platform: Available via pip (Python 3.8+) and npm

The tool is designed for developers who want to maintain good commit hygiene without the friction of writing messages manually. It runs Ollama locally by default for privacy, or you can use cloud AI providers.

Installation is simple: - pip install git-quick - npm install -g git-quick-cli

First run automatically guides you through AI setup, or you can skip it entirely and use the smart fallback mode.

The project is MIT licensed and actively maintained. If you find it useful, please give it a star on GitHub!

Repository: https://github.com/vswaroop04/git-quick
by ahartmetz | 2025-11-12 11:00:53+00:00
It has become less fun since it has become common. My most recent laptop doesn't have stickers but I might apply some from my sizable collection before it becomes secondary laptop in 1-2 years.

You can still "hipster it" and only use actually cool stickers. Community open source projects, hackerspaces, good conferences, EFF and similar organizations, weird funny stuff.

Good:

https://stickertop.art/content/images/2025/11/1762135251053-...

https://stickertop.art/content/images/2025/11/IMG_9222-1.jpe...

"Employee of the month":

https://stickertop.art/content/images/2025/11/IMG_20200717_2...
by balamatom | 2025-11-12 11:01:40+00:00
I have vague notions of there being an entire hidden philosophical/political battlefield (massacre?) behind the whole "are knowledge models/ontologies a realistic goal" debate.

Starting with the sophomoric questions of the optimist who mistakes the possible for the viable: how definite of a thing is "the world", how knowable is it, what is even knowledge... and then back through the more pragmatic: by whom is it knowable, to what degree, and by what means. The mystics: is "the world" the same thing as "the sum of information about the world"? The spooks: how does one study those fields of information which are already agentic and actively resist being studied by changing themselves, such as easily emerge anywhere more than n(D) people gather?

Plenty of food for thought from why ontologies are/aren't a thing. The classical example of how this plays out in the market being search engines winning over internet directories. But that's one turn of the wheel. Look at what search engines grew into quarter century later. What their outgrowths are doing to people's attitude towards knowledge. Different timescale, different picture.

Fundamentally, I don't think human language has sufficient resolution to model large spans of reality within the limited human attention span. The physical limits of human language as information processing device have been hit at some point in the XX century. Probably that 1970s divergence between productivity and wages.

So while LLMs are "computers speak language now" and it's amazing if sad that they cracked it by more data and not by more model, what's more amazing is how many people are continually ready to mistake language for thought. Are they all P-zombies or just obedience-conditioned into emulating ones?!?!?

Practically, what we lack is not the right architecture for "big knowing machine", but better tools for ad-hoc conceptual modeling of local situations. And, just like poetry that rhymes, this is exactly what nobody has a smidgen of interest to serve to consumers, thus someone will just build it in their basement in the hope of turning the tables on everyone. Probably with the help of LLMs as search engines and code generators. Yall better hurry. They're almost done.
by thw_9a83c | 2025-11-12 11:01:58+00:00
> I’ve had too many experiences with seeing decent contributions get worse and worse as they go through successive rounds of feedback.

This is a great observation. Having a PR feedback process that involves everyone commenting on every tiny decision is a guaranteed way to end up with "design by committee" syndrome. Everyone feels obligated to push their little agenda, no matter how insignificant it may be. The end result is what the original article tries to explain: When everyone is responsible for every PR, no one is really responsible for any PR. The quality and suitability of the code are not proportional to the volume of feedback the pull request receives. There is a sweet spot, and beyond that, quality and development velocity deteriorate quickly
by jimnotgym | 2025-11-12 11:02:01+00:00
What has this got to do with accountants. In a normal control model the one thing accountants are not allowed to do is buy stuff, because they can also pay for stuff. This woyld make fraud all too easy.

Yes everything is easier without controls, until something goes wrong. Fast cars have the best brakes for a reason.

Removing budgetary controls makes development much easier. That is until you spent so much money on a space laser that you can no longer afford to feed your Navy.
by wkjagt | 2025-11-12 11:02:04+00:00
I had a doc appointment a couple of weeks ago. My wife was driving and we were running late, so I was getting stressed about missing the appointment on top of being stressed about going to see the doctor. There was a lot of traffic so I decided to get out at a red light and run to my appointment while my wife parked the car. I only barely made it and the first thing they did was take my pressure. They took it twice, because at the first they were like, this can't be right. When I explained, they asked if I had a blood pressure monitor at home so I could take my own pressure at a more quiet moment.
by netdevphoenix | 2025-11-12 11:02:28+00:00
> People love to talk about the right tool for the job, it's all BS

This sounds very close minded to me. It is certainly true that there exist tasks if not subdomains where some ecosystems are better than others. Using a hammer for everything might work for you if all your problems are nails. But that doesn't mean that all problems out there are nails
by breppp | 2025-11-12 11:03:35+00:00
they are out for your clicks and attention minutes

if OpenAI can build a "social" network of completely generated content, that can kill Meta. Even today I venture to guess that most of the engagements in their platforms is not driven by real friends, so an AI driven platform won't be too different, or it might make content generation be so easy as to make your friends engage again.

Apart from it the ludicrous vision of the metaverse seems much more plausible with highly realistic world models
by kopirgan | 2025-11-12 11:03:56+00:00
I used a semi pro Plustek model to scan hundreds of negatives and was able to sell it off for same price as I paid.. that was nearly 8 years back.

Guess this can't improve on that lol. But by the look of it, negatives that's already cut into small strips of 4-6 frame each wont be easy to load?

I think software is the key. While the bundled one was ok to do basic stuff, figuring out stuff was complex. In the end I just used default.
by SparkBomb | 2025-11-12 11:04:00+00:00
I've used Rider for several years now on and off. Generally I would put these at the top of the list.

- Integrated ReSharper.

- Far better performance (it isn't even close)

- Doesn't take 30GB of disc space up. Visual Studio has been a massive disc space hog since forever. Rider is a few hundred megabytes IIRC.

- Less bugs (Visual Studio has been progressively getting worse).

- There was better tooling IMO around NuGET.
by 0xDEAFBEAD | 2025-11-12 11:04:40+00:00
Apple wants to charge $150 for this sock. My premium fair-trade version, woven using traditional indigenous practices from sustainably-grown biodegradable materials, blessed via an aboriginal ritual, complete with an autographed certificate of authenticity from a rural craftsperson who subsequently follows you on social media, will cost $200. Joke's on Apple.
by AdhemarVandamme | 2025-11-12 11:05:37+00:00
I agree with you and the anonymous Reddit commenter that this is a “cool story”, and that it needs “a shitton of paragraphs”.

But it also left me somewhat confused. The author’s note at the end states that “[the] story is 100 % fictional, except for all the parts about the EU AI Act having no enforcement teeth, which are unfortunately 100 % true”. The story chronicles a paper describing a solution, and the reaction of the main character who wishes he should have thought of this himself first. The solution is laid out high-level: AI self-awareness of potential problems, auto-pause until human review at first sign of potential problems, coupled with blockchain auditability.

So what is this story? An invitation for researchers to work out the details, and actually write the (thus-far fictional) 47-page paper? A teaser that such a paper might be forthcoming? A hope that this solution might materialize? Or just a fictional tale to vent some professional frustrations?
by potato3732842 | 2025-11-12 11:05:52+00:00
Think about the local implications of what you just said. If we toss the process when effective expenditure of resources toward results matter and consequences are the most serious then the process must be less efficient at producing good results for the expenditure than the corruption (or whatever else the process is replacing). So then why are we running it at all?

You can absolutely make an argument about accepting reduced efficiency to dilute concentrated harms (e.g. keep a test pilot from dying), but none of the peddlers of process dare even make that argument so I suspect the math is questionable without hand waving or subjective valuation (e.g. face saved avoiding errors).
by otikik | 2025-11-12 11:06:09+00:00
I have seen it done in the past, in a limited way.

You would buy a product, and it would give you access to the thing you purchased at that version number plus a number of versions afterwards. Pass that point, you needed to buy it again. I think it is a good compromise between "I own the thing I paid" and "I have to give lifetime support for people who purchase an item once many years ago"
by pegasus | 2025-11-12 11:06:29+00:00
You already mentioned two fields they have a huge impact on, software development and NLP (this latter one the most impacted so far). Another field that comes to mind is academic research is getting an important boost as well, via semantic search or more advanced stuff like Google's biological cell model which already uncovered new treatments. I'm sure I'm missing a lot of other fields I'm less familiar with (legal, for example). But just these impacts I listed are all huge and they will indirectly have a huge impact on all other areas of human industry, it's just a matter of time. "Software will eat the world" and all that.
by kfuse | 2025-11-12 11:07:19+00:00
Updated a pet project of mine and got a minor break:

var pixels = new uint[renderers.width * renderers.height]; var pixels2 = MemoryMarshal.Cast<uint, ulong>(pixels); pixels2[idx] = ...

In NET9.0 pixels2 were Span<ulong>, but in NET10.0 a different MemoryMarshal.Cast overload is used and it is ReadOnlySpan<ulong> now, so the assignment fails.

Spans is such a fundamental tool for low level programming. It is really unfortunate they were added relatively late to the language. Now every new version includes a slew of improvements related to them but they will never be as good as if they were there from the start or at least as early as generics were.
by dzhiurgis | 2025-11-12 11:09:54+00:00
V2G doesn’t need “support”. People in Australia have been using it for a while. Technically kinda a hack, but not really.

I agree on v2l, useful but not a game changer. Rest is ridiculously disconnected from my experience. I wanna gauge my eyeballs whenenever I rent a car and have to use CarPlay.

Most of my ideas are software hence I don’t have a list of hw improvements.
by epolanski | 2025-11-12 11:10:47+00:00
I don't know, again, your huge list doesn't really overlap with my issues.

In any case, I did try some of your pain points and I cannot reproduce them, e.g.

> Look at Windows vs Gnome. Press the Windows / Meta key and type _shutdown_ and press enter.

https://i.imgur.com/l7WlT2q.png

As for the rest I don't really author code for Windows machines, I write code for unix machines via WSL 2.

I prefer Windows as a desktop machine over linux for several reasons: better window management, personal preferences, compatibility with both worlds (windows and linux), way more software available, etc.

As I said in the previous post: I'm not here to convince you that Windows is a better development machine.
by chaoz_ | 2025-11-12 11:10:48+00:00
I agree. I never understood LeCun's statement that we need to pivot toward the visual aspects of things because the bitrate of text is low while visual input through the eye is high.

Text and languages contain structured information and encode a lot of real-world complexity (or it's "modelling" that).

Not saying we won't pivot to visual data or world simulations, but he was clearly not the type of person to compete with other LLM research labs, nor did he propose any alternative that could be used to create something interesting for end-users.
by magicalhippo | 2025-11-12 11:12:58+00:00
> Classic and LE are completely different protocols, from physical layer and up.

Which makes sense when you know it started life[1] as a separate protocol called Wibree by Nokia, which was specifically designed[2] to be usable by Bluetooth RF gear:

A major tenet of their design was that “it can be deployed with minor effort into devices already having Bluetooth, e.g. cellphones” with the added requirement that a “common RF section with Bluetooth must be possible”.

[1]: https://en.wikipedia.org/wiki/Bluetooth_Low_Energy#History

[2]: https://www.ijert.org/research/wireless-communication-with-w...
by mikkupikku | 2025-11-12 11:13:28+00:00
> The fact that there are over a dozen Chinese humanoid robotics companies that have shipped working products in the past 12 months should be a big red flag.

I think that mostly means money is cheap in China. In America, if you try to start a humanoid robot company you'll immediately run into the "Why though?" question when you try to get money for it. The case for the economic relevance of humanoid robots is dubious at best, so to proceed with such a development program you need your own money or at least good friends with connections who don't care about money.
by rkagerer | 2025-11-12 11:13:35+00:00
User pretty quickly recognize the picker accepts day & month. The ordering is adaptable to locale, and context can be provided to the control as to whether to favor past/closest/future occurrences (eg. bookeeping arrears vs planning future calendar event). Year can always be included if the users wants to be unambiguous.

I'm not familiar with the special 3/9 thing, but if you're serious that the behavior is something you think users in your locale would expect, then it wouldn't be hard to override the handler on a project using the picker and implement that.
by wkjagt | 2025-11-12 11:13:41+00:00
I had the one with the TV/VCR remote functionality when I was in highschool in the 90s. During English class the teacher wanted to show Shakespeare plays on the VCR. I would pause the video, a friend of mine would walk up to the TV, and slap it on the side, while I unpaused it. We did this a couple of times until the teacher saw me do it and sent me to see the principal. Now that I'm more mature I realize how much that disturbed her class, and I kind of regret it, but maybe some people hold a fond memory of that moment.