MurphyA/hacker-news huggingface dataset:
by quentindanjou | 2026-01-23 19:44:47+00:00
This is not always true. LLMs do get nerfed, and quite regularly, usually because they discover that users are using them more than expected, because of user abuse or simply because it attract a larger user base. One of the recent nerfs is the Gemini context window, drastically reduced.

What we need is an open and independent way of testing LLMs and stricter regulation on the disclosure of a product change when it is paid under a subscription or prepaid plan.
by mohsen1 | 2026-01-23 19:44:55+00:00
I didn't know about Gas Town! Super cool! I will try it once I have a chance. I started with a few dumb Tmux based scripts and eventually I figured I make it into a proper package.

I think using GitHub with issues,PRs and specially leveraging AI code reviewers like Greptile is the way to go Actually. I did an attempt here https://github.com/mohsen1/claude-orchestrator-action but I think it needs a lot more attention to get it right. Ideas in Gas Town are great and I might steal some of those. Running Claude Code in GitHub Action works with GLM 4.7 great.

Microsoft's new Agent SDK is also interesting. Unlocks multi-provider workflows so user can burn out all of their subscriptions or quickly switch providers

Also super interested in collaborating with someone to build something together if you are interested!
by decafninja | 2026-01-23 19:45:01+00:00
There are naive people with good intentions that feel that war is absolutely never justified and it would be better for everyone if Ukraine just rolled over and surrendered. Nevermind who the aggressor is. Note, this is not my own opinion.

Regarding Meloni, yes, people feared how she’d end up like, and many vilified her leading up to the election. But not to the degree that say, the National Rally or the Le Pens have always been. Or at least, that is what I observed as an outsider who is neither French, Italian, or European.

Plus, you can argue that many people believed “oh, Trump couldn’t possibly really be like that”, and, well, here we are.
by mrandish | 2026-01-23 19:45:15+00:00
You nailed it. Cool idea. Nice design. Great demo. Fun toy.

I'm sure I'd have a good time playing with it for an afternoon and come up with some sounds I like. And, in principle, I'm all for more ways to create music existing - especially ones that are interactive and tactile. But the reality is, if I bought this device it would end up spending most of its time in the basement graveyard with all the other cool tools that are too narrow, too big, too hard to interface, store/recall patches, etc.

I decided a while ago to refocus on a stack that's purely microphone (or other a/d converted input) + MIDI controllers to a DAW driving infinite layers of internal real-time digital synthesis, analog modeling and effects plug-ins. There are fabulously expressive MPE (MIDI Polyphonic Expression) controllers now which can capture every nuance of input my hands, feet and breath can possibly provide.

As you highlighted, that suspicion the all-digital, in-one-box is somehow 'soulless' - is 100% in my head. actually use all the insanely powerful, infinitely flexible, software tools
by bluGill | 2026-01-23 19:45:24+00:00
I had such an older vehicle until a couple weeks ago when the fuel tank supports rusted to the point the tank wasn't supported. There was just more maintenance needed than I had time to do - it would cost about what I paid for a modern 3 year old vehicle just to get it running and who knows what it will need next year from parts I wouldn't replace. (the new car is also electric so much cheaper to drive, though it doesn't have the capacity of the 1 ton truck it replaced so I'm stuck when I need that)
by jbstack | 2026-01-23 19:45:39+00:00
There are so many distros that it really depends on your use-case and it's hard to make a generic suggestion. Ubuntu is a common recommendation for first timers, mainly because as the most popular distro you'll easily be able to Google when you need help with something, and it also uses the most popular package format (.deb). There's also Linux Mint which is basically Ubuntu but with some of the latter's more questionable choices removed (e.g. snaps) and minus the big corp owner. By using one of these you'll also be learning skills relevant to Debian (which Ubuntu is derived from) which is a solid choice for servers.

Regardless of which distro you choose, your "desktop experience" will be mostly based on what desktop environment you pick, and you are free to switch between them regardless of distro. Ubuntu for example provides various installers that come with different DEs installed by default (they call them "flavours": https://ubuntu.com/desktop/flavors), but you can also just switch them after installation. I say "mostly" because some distros will also customise the DE a bit, so you might find some differences.

"Nicest desktop experience" is also too generic to really give a proper suggestion. There are DEs which aim to be modern and slick (e.g. GNOME, KDE Plasma, Cinnamon), lightweight (LXQt), or somewhere in between (Xfce). For power users there's a multitude of tiling window managers (where you control windows with a keyboard). Popular choices there are i3/sway or, lately, Niri. All of these are just examples, there are plenty more DEs / WMs to pick from.

Overall my suggestion would be to start with something straightforward (Mint would probably be my first choice here), try all the most popular DEs and pick the one you like, then eventually (months or years later) switch to a more advanced distro once you know more what your goals are and how you want to use the system. For example I'm in the middle of migrating to NixOS because I want a fully declarative system which gives the freedom to experiment without breaking your system because you can switch between different temporary environments or just rollback to previous generations. But I definitely wouldn't have been ready for that at the outset as it's way more complex than a more traditional distro.
by stonogo | 2026-01-23 19:45:41+00:00
Severe heat, heavy snow, or torrential rain can make driving a car unsafe as well. Individuals with certain disabilities, chronic health conditions, or a plethora of age may also find driving impossible. For those with "trip-chaining" needs, extra time required for parking cars can be prohibitive. Old people don't like traffic and can escape and run away so fast you have to drive them back? And you're seriously including the idea that car theft is not a concern? These are some tortured arguments.

The correct argument here is "if bicycles become the dominant transportation mode, then the government will absolutely mandate kill switches for them too." "Bicycles don't have software" hasn't been true for years. E-bikes and wireless deraillers have been around a long time.
by agosta | 2026-01-23 19:46:03+00:00
Among the various rulings, Google is supposed to provide access at market rates... which they are. At least for what is published: $5 per thousand queries is market rate for a product like this - see Brave's Search API pricing https://api-dashboard.search.brave.com/app/plans?tab=ai.

Granted, that is scoped to 50 domains. But we don't know if the enterprise package, which allows full web search, isn't roughly market rate.
by joshstrange | 2026-01-23 19:46:08+00:00
I'm not trying to be rude here at all but are you manually verifying any of that? When I've had LLMs write unit tests they are quick to write pointless unit tests that seem impressive "2123/2123 tests passed!" but in reality it's testing mostly nothing of value. And that's when they aren't bypassing commit checks or just commenting out tests or saying "I fixed it all" while multiple tests are broken.

Maybe I need a stricter harness but I feel like I did try that and still didn't get good results.
by SAI_Peregrinus | 2026-01-23 19:46:22+00:00
This is why I hate the common pushback against "TODO:" comments. They're an extremely fast way to leave a trail of what alternative path would have been taken had there been more time. They're part of the code, so they don't get caught up in a "backlog grooming" the way a Jira ticket will, and don't break flow the way switching to Jira will.
by CommieBobDole | 2026-01-23 19:46:24+00:00
This isn't really an impressive test; growing corn is an extremely well-documented solved problem, the sort of thing that we already know LLMs excel at. An LLM that couldn't reliably tell you what to do at each step of the corn-farming process would be a very poor LLM.

This seems like something along the lines of "We know we can use Excel to calculate profit/loss for a Mexican restaurant, but will it work for a Tibetan-Indonesian fusion restaurant? Nobody's ever done that before!"
by klodolph | 2026-01-23 19:46:47+00:00
I’m happy to throw an LLM at our projects but we also spend time refactoring and reviewing each other’s code. When I look at the AI-generated code I can visualize the direction it’s headed in—lots of copy-pasted code with tedious manual checks for specific error conditions and little thought about how somebody reading it could be confident that the code is correct.

I can’t understand how people would run agents 24/7. The agent is producing mediocre code and is bottlenecked on my review & fixes. I think I’m only marginally faster than I was without LLMs.
by bigbadfeline | 2026-01-23 19:47:06+00:00
> Science only worked because of the religion/politics ecosystem

In many cases what worked did so despite the religion/politics ecosystem.

Moreover, some science theories worked while others didn't. Some helped the ecosystem, others damaged it. At their current state of development, the utility of social sciences is between useless and severely damaging, depending on case.

And let's not try to hide faulty science by wrapping it in the generic term "science" which is riding on the good name of sciences with much better track records. What's faulty has to be fixed, not covered up.
by davorak | 2026-01-23 19:47:14+00:00
> Some of this is over-the-top paranoia. If ICE wants to get into your car, they'll just break the window.

Then when I get to my car I can see the broken window and report it or at least know someone broke into my car. With remote entry law enforcement or ice can get in and out potentially without notice.

Just because police/ice/thieves/etc can break down my door and enter my house does not mean I am on board with giving any of them a key.
by yellowapple | 2026-01-23 19:47:22+00:00
> Self-hosting an AI with your own hardware is probably just as cost-prohibitive, even if you don't value your time. In part because a ton of people will get this idea at the same time, impacting hardware prices even more. And the operating costs of AI seem significant. Would it even be possible to setup your own AI and achieve the same productivity level?

I know this is probably an annoying question, but… has the author actually tried self-hosting an AI with one's own hardware? I have; ollama (and various frontends thereof) makes it straightforward, and it's absolutely not cost-prohibitive — I've ran my share of LLMs even on laptops without dedicated GPUs at all, and while the experience wasn't great compared to the commercial options, it wasn't outright unusable, either. Locally-hosted LLMs are already finding their way into various applications; that's only going to get more viable over time, not less (unless the computing hardware industry takes a catastrophic nosedive, in which case AI affordability is arguably the least of our worries).

I'm sure the author understands this and is just being hyperbolic in the article's title, but the AI bubble bursting ≠ AI disappearing, for the same reason the dotcom bubble bursting ≠ the World Wide Web disappearing. The bubble will burst when AI shifts from being novel to being mundane, just as with any other technology-related bubble — and that entails a degree of affordability and ubiquity that's mutually exclusive with any notion of AI “disappearing”. Hopefully it'll mean companies being less motivated to shove AI “features” down everyone's throats, but the virtually-intelligent cat is already out of Pandora's box: the technology's here to stay, and I think it's presumptuous to think the race to the bottom w.r.t. cost is anywhere near the finish line.
by PraetorianLabs | 2026-01-23 19:47:22+00:00
We replicated an ML model with 1,000 API calls. 80% accuracy in hours.
The original took months to build.

The problem... Soft probability outputs teach attackers everything they need. Your model's behavior IS your model.

If you expose ML through APIs, you're vulnerable
Full attack demo + defenses: https://hubs.ly/Q0408rfc0
by Analemma_ | 2026-01-23 19:48:14+00:00
> What we need is an open and independent way of testing LLMs

I mean, that's part of the problem: as far as I know, no claim of "this model has gotten worse since release!" has ever been validated by benchmarks. Obviously benchmarking models is an extremely hard problem, and you can try and make the case that the regressions aren't being captured by the benchmarks somehow, but until we have a repeatable benchmark which shows the regression, none of these companies are going to give you a refund based on your vibes.
by shawnz | 2026-01-23 19:48:41+00:00
Why would you need to create a local account? You can just not choose to store the keys in your Microsoft account during BitLocker setup: https://www.diskpart.com/screenshot/en/others/windows-11/win...

Admittedly, the risks of choosing this option are not clearly laid out, but the way you are framing it also isn't accurate
by futuraperdita | 2026-01-23 19:48:57+00:00
> Too many tech workers decided to rollover for the government and that's why we are in this mess now.

It has nothing to do with the state and has to do with getting the RSUs to pay the down payment for a house in a HCOL area in order to maybe have children before 40 and make the KPIs so you don't get stack-ranked into the bottom 30% and fired at big tech, or grinding 996 to make your investors richest and you rich-ish in the process if you're unlikely enough to exit in the upper decile with your idea. This doesn't include the contingent of people who fundamentally believe in the state, too.

Most people are activists only to the point of where it begins to impede on their comfort.
by copirate | 2026-01-23 19:49:02+00:00
There's also this issue[1] with about 300 participants about limits being reached much more quickly since they stopped the 2x limit for the holidays. A few people from Anthropic joined the conversation but didn't say much. Some users say they solved the issue by creating a new account or changing their plan.

[1] https://github.com/anthropics/claude-code/issues/16157
Show HN: First autonomous ML and AI engineering Agent
by svij137 | 2026-01-23 19:49:23+00:00
Founder here. I built NEO, an AI agent designed specifically for AI and ML engineering workflows, after repeatedly hitting the same wall with existing tools: they work for short, linear tasks, but fall apart once workflows become long-running, stateful, and feedback-driven.
In real ML work, you don’t just generate code and move on. You explore data, train models, evaluate results, adjust assumptions, rerun experiments, compare metrics, generate artifacts, and iterate; often over hours or days.

Most modern coding agents already go beyond single prompts. They can plan steps, write files, run commands, and react to errors. Where things still break down is when ML workflows become long-running and feedback-heavy. Training jobs, evaluations, retries, metric comparisons, and partial failures are still treated as ephemeral side effects rather than durable state.

Once a workflow spans hours, multiple experiments, or iterative evaluation, you either babysit the agent or restart large parts of the process. Feedback exists, but it is not something the system can reliably resume from.

NEO tries to model ML work the way it actually happens.

It is an AI agent that executes end-to-end ML workflows, not just code generation. Work is broken into explicit execution steps with state, checkpoints, and intermediate results. Feedback from metrics, evaluations, or failures feeds directly into the next step instead of forcing a full restart. You can pause a run, inspect what happened, tweak assumptions, and resume from where it left off.

Here's an example as well for your reference: You might ask NEO to explore a dataset, train a few baseline models, compare their performance, and generate plots and a short report. NEO will load the data, run EDA, train models, evaluate them, notice if something underperforms or fails, adjust, and continue. If training takes an hour and one model crashes at 45 minutes, you do not start over. Neo inspects the failure, fixes it, and resumes.

Docs for the extension: https://docs.heyneo.so/#/vscode

Happy to answer questions about Neo.
by daveisfera | 2026-01-23 19:49:24+00:00
There was probably a lot going on behind closed doors, but from the outside, it appeared that RedHat was trying to improve the security and technical details of containers, but Docker was just refusing pull requests and not playing nice. This eventually drove RedHat to make their own implementation (i.e. Podman), so it was a self created enemy and not necessarily one that was built-in/inevitable.
I'm definitely not a fan of RedHat's moves since being acquired, but at least from the outside, this looked like Docker being arrogant and problematic and not a "RedHat problem".
by bcrl | 2026-01-23 19:49:44+00:00
Thanks for publishing your blog! The articles are quite enlightening, and it's interesting to see how semiconductors evolved in the '70s, '80s and '90s. Having grown up in this time, I feel it was a great time to learn as one could understand an entire computer, but details like this were completely inaccessible back then. Keep up the good work knowing that it is appreciated!

A more personal question: is your reverse engineering work just a hobby or is it tied in with your day to day work?
by matheusmoreira | 2026-01-23 19:49:55+00:00
There is no law yet.

Where I live, government passed a similar law to the UK's online identification law not too long ago. It creates obligations for operating system vendors to provide secure identity verification mechanisms. Can't just ask the user if they're over 18 and believe the answer.

The goal is of course to censor social media platforms by "regulating" it under the guise of protecting children. In practice the law is meant for and will probably impact the mobile platforms, but if interpreted literally it essentially makes free computers illegal. If you own your machine you can easily bypass these idiotic verifications. The implication is that only corporation owned computers will be allowed to participate in computer networks. People with their own Linux systems need not apply.
Show HN: 83 browser-use trajectories, visualized
by wayy | 2026-01-23 19:50:03+00:00
Hey all, Justin here. I previously built Phind, the AI search engine for developers.

One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped.

This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents understand where things are breaking and why.

I've put together a demo using browser-use agent traces (gpt-5): https://trails-red.vercel.app/viewer

It's early, but I have lots of ideas - live querying of past failures for currently-running agents, preference models to expand sparse signal data.

Would love feedback on the demo. Also if you're building agents and have 10k+ traces per day that you're not looking at but would like to, I'd love to talk.
by fsckboy | 2026-01-23 19:50:27+00:00
>- You're not going to take an electric bike mountain biking

this sounds like a direct quote from Femke Van Den Driessche, who actually took an electric bike mountain biking: big mistake. Did it not perform well? no, actually it performed really well, the problem was, it got her banned from bike racing. Some of the evidence was her passing everybody else on the uphills; the other evidence was a motorized bike in her pit area.
by alephnerd | 2026-01-23 19:50:31+00:00
Most of us in the financial side of this space think so as well. This is why AI Ludditism doesn't make sense - CAT Hydraulic Excavators didn't end manual shovelers, it forced them to upskill.

Similarly, Human-in-the-loop utilization of AI/ML tooling in software development is expected and in fact encouraged.

Any IP that is monetizable and requires significant transformation will continue to see humans-in-the-loop.

Weak hiring in the tech industry is for other reasons (macro changes, crappy/overpriced "talent", foreign subsidies, demanding remote work).

AI+Competent Developer paid $300k TC > Competent Developer paid $400k TC >>> Average Developer paid $40k TC >>>>> Average Developer paid $200k TC
by WesolyKubeczek | 2026-01-23 19:50:49+00:00
> But we can't sue the SQLite maintainers either, and yet we trust them with basically everything.

But you don’t pay them any money and don’t enter into contractual relationship with them either. Thus you can’t sue them. Well, you can try, of course, but.

You could sue an Elbonian company, though, for contract breach. LLMs are like usual Elbonian quality with two middlemen but quicker, and you only have yourself to blame when they inevitably produce a disaster.
by lormayna | 2026-01-23 19:50:54+00:00
I have been worked for a regional ISP 10 years ago and having an architecture like that one, would be a godsend.
With centralized BNGs we were not able to apply upstream QoS policies for subscribers on the backhaulings and we had to apply policies on DSLAM access ports.

We ended using a couple of cheap Mikrotik as PPPoE concentrators for every access room, in a similar way as you did. But the reliability of Mikrotik routers was not the best
by parliament32 | 2026-01-23 19:51:10+00:00
The shift from "you just don't understand" to damage control would be funny if it wasn't so transparent.

> We have identified a bug in our system... we take communication consent very seriously

> There was a bug, and we fucked up... we take comms consent seriously

These two actors were clearly coached into the same narrative. I also absolutely don't believe them at all: some PM made the conscious decision to bypass user preferences to increase some KPI that pleases some AI-invested stakeholder.
by retired | 2026-01-23 19:51:22+00:00
It has been edited to "average educated European". If going by tertiary education, that is about 30% to 35% of the European population. I wouldn't be surprised if that group speaks three languages. In Spain it is typical to speak three of Spanish, Catalan, Valencian, Galician, Basque, Portugese, Arabic, English. In The Netherlands basically anyone speaks Dutch and English plus a third language, usually Frisian, Limburgish, German, French, Spanish, Turkish or Arabic.
by giobox | 2026-01-23 19:51:36+00:00
Its being reported elsewhere that future new teslas will not have basic autopilot (the name Tesla use for the standard lane keep assist they offer) at all, the only way to get any form of lane keep assist will be to subscribe to FSD. The wording in the ars article linked here does a terrible job of explaining the change. Existing Teslas which already have basic Autopilot will still continue to have the feature.
by siliconc0w | 2026-01-23 19:51:41+00:00
Article is unclear but if this is saying you can't even get basic ADAS w/out $99/mo that is a pretty big deal, especially if it's applied to existing cars.

Basic stay-in-line and start/stop following in traffic has become pretty standard for almost a decade at this point and paywalling it now would be outrageous. I have a 2017 car that does this.