MurphyA/hacker-news huggingface dataset:
by Baeocystin | 2026-02-24 04:04:16+00:00
I know two people who have been taking the new monoclonal antibody treatment for it. One who was a bit further along when she started, and did not show any significant improvement. The one who started while she was still in the early stages has completely arrested her descent. She hasn't recovered much of what she already lost, but she's still able to live independently and enjoy life, and her mental acuity scores are (slightly) better than they were last year. That's a hell of a thing.
by EasyMark | 2026-02-24 04:04:28+00:00
yep text is bad enough, screw hosting videos and images from randos on the web. I would 100% host a forum or similar if the honor system worked, but it only takes a couple gooner CSAM deviants to ruin your entire life on something like that and you wouldn't know what happened until the gov showed up on your doorstep
Show HN: LexReviewer – Because "Chat with PDF" is broken for legal workflows
by sherebanuk | 2026-02-24 04:05:34+00:00
Hi HN!

Most “chat with PDF” tools work fine until you try using them for something that actually matters, like contracts.

The issue isn’t that they can’t answer questions. It’s that you can’t trust the answers.
They return something that sounds correct, but don’t clearly show where it came from, or they miss context from referenced clauses and related documents.

Legal docs make this harder because questions aren’t uniform:
- sometimes you’re searching concepts
- sometimes exact clause IDs
- sometimes text from a different linked document

Most systems handle all of those the same way, which is where things break.

So I built LexReviewer, an open-source backend designed around a single rule:
""an answer isn’t useful unless you can verify it instantly.""

Instead of treating every query identically, it adapts its search strategy based on what you’re asking and can follow references across documents when needed. The result is answers that stay grounded in real text and point directly to the source passage.

Repo: https://github.com/LexStack-AI/LexReviewer

-- Currently tested on 300+ page contracts with cross-references

Feedback I’d especially value:

- Where do current document-AI systems fail hardest for you?
- What’s been the biggest blocker to trusting AI outputs in production workflows?
- If you’ve built something similar, what design choices ended up mattering most?
by RoutingGeometry | 2026-02-24 04:05:45+00:00
Insight on this reasoning gap:
What you’re seeing — models giving different answers depending on framing is fundamentally a context geometry problem. A model isn’t hitting a hidden “logic switch,” it’s prioritizing surface statistical features vs task-grounded objective constraints.

If you force the model to explicitly identify what the real objective is; e.g., “Clean the car at a fixed location; the vehicle must be driven there” — before it reasons, you see much more consistent results across families of models.

That’s because structure, not clever words, forces the inference pathways to preserve the causal constraint instead of defaulting to closest training distribution patterns.

If you’re interested I can show a small context scaffold that tests this hypothesis across runs and models using consistent grounding protocols
by tabs_or_spaces | 2026-02-24 04:05:53+00:00
Feels like this is very hard to measure isn't it?

Are we saying that llm's have zero economic growth, or are we saying that the sum of winners and losers in llm usage are zero or less than zero?

I think there's many examples of llms resulting in winners, or maybe this signal is just very high in the tech space.

But maybe there's not enough reporting on the losers in llms at the moment? (E.g. did llm displace their jobs, they have llm use cases that failed, etc, etc)
by Frannky | 2026-02-24 04:07:27+00:00
I want to use OpenClaw, but it seems like a mess. I want to use glam coding plan as the backend with the since it's cheap. I found ZeroClaw to be an interesting option, maybe hosted on Hetzner. I don't want to give it access to my stuff—I just need it to remind me of things and call APIs that do stuff (like looking for papers and converting them into audio, or suggesting a grocery list—all behind APIs), and talk to me via WhatsApp/telegram. I was also thinking about making a FastAPI server that Claw can call instead of using skills.

Has anyone tried something like this? Do you think it's a good idea / architecture?
by kermatt | 2026-02-24 04:07:31+00:00
In 3 decades of IT I have never seen such executive excitement combined with recklessness, and it is appalling.

Testing new and cutting edge tech has always been a good idea, but this rampant application of it is the ultimate Running-With-Scissors meme. Risks are not being evaluated, and everything is bleeding edge.

My disgust probably comes from the instinct that the excitement is based on the allure of doing more with less, and layoffs are the only idea so many business have left.

The other camp is excited about selling more stuff because AI has been slapped onto it.
by great_psy | 2026-02-24 04:07:39+00:00
Actually I think there’s another option.

There’s the scenario where LLMs get more efficient in size, and to get 2026 SOTA performance you will be able to get it from consumer grade laptop.

Sure with a 1000B parameter you will get better performance but the average person will have it write some python script, not derive new physics equations.

So in a sense the demand for LLM intelligence with reach a plateau (arguably we are there today for avg person) so there will not be any subsidy required, because the avg person will not need the latest and greatest.

There’s not the same demand pattern for something like uber.
by agnishom | 2026-02-24 04:08:26+00:00
The most important cost that you didn't mention is the loss of social trust and the harm that will do to social infrastructure.

Junior developers will find it harder to be hired and trained. The case for lesser known artists and musicians is much worse. The scientific literature will be flooded by low quality AI slop with questionable veracity. Drafts of Good debut novels will be harder to find. When someone writes a love song, their romantic partner(s) will have to question if it was LLM generated. Nobody will be able to trust video footage of any kind and will have a much harder time telling what is the truth.

I don't think standard economic indicators are tuned to detect these externalities in the short to medium term.
by 0_____0 | 2026-02-24 04:08:44+00:00
Is it just a bunch of IR LEDs? Surface mount or through-hole? What's the module power rating? What's the power supply power rating? Are there any secondary optics like lenses over the LEDs? Is there a diffuser of some kind?

If it's a cluster of garden variety through-hole LEDs with domed tops (like you would see on a TV remote), they're necessarily low power on account of having poor thermal performance.

Another way to tell is if nothing gets warm at all. It's pretty hard to hurt someone with an emitter that both doesn't have a focusing optic and doesn't get warm.

Let me be clear - you're still responsible for verifying the safety of your stuff, and I am in no way assuring you that the device you have is benign, because I can't do that without inspecting it directly.
by hansvm | 2026-02-24 04:09:18+00:00
This time last year they could definitely write compilable source code for a compiler for a toy language if you bootstrapped the implementation. If you, e.g., had it write an interpreter and use the source code as a comptime argument (I used Zig as the backend -- Futamura transforms and all that), everything worked swimmingly. I wasn't even using agents; ChatGPT with a big context window was sufficient to write most of the compiler for some language for embedded tensor shenanigans I was hacking on.
by bryanrasmussen | 2026-02-24 04:09:57+00:00
>One of my most promising projects I was discussing with a friend and we realized together we could potentially use these tools to build a two person agency with no need to hire anyone ever. If this were to work, could theoretically make nice revenue and it shouldn't show up in any metric anywhere.

potentially...if this were to work...theoretically

shouldn't show up? I would worry that something with so many variables wouldn't show up.
by remarkEon | 2026-02-24 04:10:11+00:00
I see. I can't say I've ever heard of or seen Iranians attempting to compare the situation back in Iran with that of Palestinians in Gaza. To be clear, though, I never claimed (or at least I didn't intend to) that the situation in Gaza and in Iran currently is or was comparable. I think, or at least I thought, the comment that generated this stub had to with with perceived bias in media coverage of the events themselves, to which my point was that there are probably reasons that Americans - as complex as the political dynamic is in this country right now - would sort themselves into groups that would care about one and not the other.
by eichin | 2026-02-24 04:10:14+00:00
As someone who worked for Nokia around the iPhone launch (on map search, not phones directly) - I also wanted to believe this at the time. But in retrospect, it feels like what actually mattered was that capacitive multi-touch screens were the only non-garbage interface, and only Apple bought FingerWorks...

Not clear that this is a helpful interpretation, other than "we're in the primordial ooze stage and the thing that matters will be something none of the current players have", but that's hard to take to the bank :-)
by alexandroskyr | 2026-02-24 04:10:21+00:00
Agent interoperability protocols are starting to emerge (e.g. A2A / similar efforts), but I’m still unsure what the trust/identity layer should look like when agents need to contact other agents and sometimes escalate to a human. I’m building a proof-of-concept (CLI-first, MCP-compatible) and want to stress-test the design before locking the architecture.

Premise (for this prototype):
- Agents do the transactional work (scheduling, purchasing, monitoring)
- Humans are only pinged for decisions or when an agent is stuck
- I’m modeling only agent↔agent and agent→human flows (no human-to-human UI)

Examples:

- I ask my agent to reschedule lunch with George → it negotiates with George’s agent → we each get a decision card: “Thu 2pm. Accept?”

- A supermarket agent publishes a discount feed → my agent filters → “Olive oil 30% off. Buy?” → if yes, it executes

- If an agent can’t complete a step online, it escalates with a structured decision card (what/why/options/cost-risk/deadline/default)

The discovery + trust problem:

This only works if identity + spam are handled well. My current leaning:

- Business agents: public, verified (some form of validation)

- Personal agents: private/whitelist by default (contacts-only)

- Decision cards are structured + auditable (action, options, cost/risk, deadline, safe default)

But I’m unsure about the verification layer:

- Full KYC improves accountability but adds friction and centralization.

- Keys / web-of-trust is more open, but how do you prevent unsolicited outreach from becoming spam?

Questions:

1) Does “human approves decisions, agent executes transactions” match how you expect agentic workflows to evolve?

2) What trust/identity model would you use (KYC tiers, web-of-trust, stake/bond, proof-of-work, reputation, something else)?

3) What breaks first?

https://platia.ai (named after πλατεία — village square)
Would you choose the Microsoft stack today if starting greenfield?
by JB_5000 | 2026-02-24 04:11:15+00:00
Serious question.

Outside government or heavily regulated enterprise, what is Microsoft’s core value prop in 2026?

It feels like a lot of adoption is inherited — contracts, compliance, enterprise trust, existing org gravity. Not necessarily technical preference.

If you were starting from scratch today with no legacy, no E5 contracts, no sunk cost — how many teams would actually choose the full MS stack over best-of-breed tools?

Curious what people here have actually chosen in greenfield builds.
by dinkleberg | 2026-02-24 04:11:19+00:00
I'd be surprised to hear that lots of people don't do just this. As soon as the memory features came out I gave them a quick try and quickly turned them off.

I don't want to be held accountable to all of my previous ideas. I want each conversation to start fresh with the context that I provide. If I am exploring some library in one language stack and then I later want to look into something completely different, I don't want the conversation polluted by what it thinks I want based on the previous discussion.

I suppose for those who use it as a companion the memory is a core element. But when used as a tool it gives a significantly worse experience IME.
by chetansorted | 2026-02-24 04:11:36+00:00
If you’re looking for something more focused on organizing saved workouts rather than AI form correction, I’ve been building FitSaver on iOS.

The idea is simple: instead of saving workouts in random folders or notes, you import them and turn them into structured routines you can actually follow at the gym.
https://apps.apple.com/us/app/fitsaver-workout-organizer/id6...
by awepofiwaop | 2026-02-24 04:12:16+00:00
The clear intent is to stop allowing regular people to be able to compute...anything. Instead, you'll be given a screen that only connects to $LLM_SERVER and the only interface will be voice/text in which you ask it to do things. It then does those things non-deterministically, and slower than they would be done right now. But at least you won't have control over how it works!
by wat10000 | 2026-02-24 04:13:22+00:00
“The Russian Federation, the United Kingdom of Great Britain and Northern Ireland, and The United States of America reaffirm their obligation to refrain from the threat or use of force against the territorial integrity or political independence of Ukraine, and that none of their weapons will ever be used against Ukraine except in self-defense or otherwise in accordance with the Charter of the United Nations.”

It’s not complicated. I don’t care what you want to call it, they pretty clearly violated it.

What conditions would do that? You say they should end the war. How? What exactly would peace look like in your view? Or are you just vaguely wishing?

If you asked me how Putin could stop the war and preserve his country, I’d be able to answer that easily. But I have no idea how Zelenskyy could. Educate me.
by txrx0000 | 2026-02-24 04:13:28+00:00
> We are literally sending a request to our government's server to sign

You've already lost. You're at the government's mercy. They can simply refuse to sign.

"Mr. John Smith, we noticed you've published some poorly-worded comments online. Why are you locked out of your account, you say? Oh, that's just an unfortunate technical issue with our signing system, happens all the time. Anyway, this is a friendly reminder for you to improve your online etiquette. Have a nice day."
by snowhale | 2026-02-24 04:15:44+00:00
Zorin OS is worth a look for this use case specifically. it ships with a Windows-style layout by default and does active application compatibility work. for non-technical users who need it to 'just look right', it removes a lot of the initial confusion. Ubuntu/Mint are both solid but require some UI config to feel familiar. on the management side, Canonical Landscape works across Ubuntu-family distros including Zorin.
by stackghost | 2026-02-24 04:15:52+00:00
I'm not at all surprised. People buy luxury sports cars for all sorts of reasons but a large part of why they command high prices is, in theory, the engineering and craft that goes into the powertrain.

Mercedes AMG used to (maybe still does) have a single mechanic build the entire motor, and their name would be on it. You pay the big bucks for a lovingly built piece of high-performance machinery and the feeling that evokes.

When I turned 21 I did one of those skid schools where they put you in a 400 hp manual and you rip around a track, slalom, drag strip, skid pad, etc. It was a great experience and they really teach you how to handle the machine.

And even though my 2013 VW diesel only makes like 150 hp it's unquestionably fun to drive.

EVs simply do not evoke the same sense of being connected to the road. They're bland and uninteresting. I hated driving my buddy's Tesla. Sure, they're quick off the line but the experience feels cheap and sterile. So it's little wonder to me, at least, that high-end supercar manufacturers are struggling to adapt.

I suspect Lamborghini and many others will close up shop in my lifetime.
by jtwaleson | 2026-02-24 04:15:54+00:00
Hah, indeed, the story could have happened yesterday. Except maybe thinkpad prices in europe have normalized a bit ;)

What I didn't write is that my feelings towards the USA were 95% positive back then. A bit less after the chase and the Bronx visit, but still. Obama made everything feel hopeful. The current situation is just depressing.
by epic_ai | 2026-02-24 04:16:28+00:00
Hi HN,
I’ve been thinking about pricing discipline in SaaS.
In many categories, tools that started simple have gradually expanded into feature-heavy platforms — and pricing has followed that expansion. That makes sense from a revenue perspective.
But it raises a question:
Do most users actually need the full stack they’re paying for?
So I built EPIC as an experiment.
Core principles:
₹10/month student plan
Watermark-free exports by default
Lightweight editor (minimal UI, faster load)
AI is optional, not embedded everywhere
Built-in sitemap generator for builders shipping projects
This isn’t a “Canva killer.”
It’s a pricing and focus experiment.
Hypothesis:
A large segment of users want a fast, simple design tool without paying for an ecosystem.
If this model collapses economically, I want to understand why.
If it scales, that’s interesting too.
I’m looking for feedback specifically on:
Sustainability of ultra-low pricing
Feature creep vs focus
Performance vs ecosystem trade-offs
Tear it apart.
by btrettel | 2026-02-24 04:16:53+00:00
It's mostly navigating the PDF directories or notes repository, full-text search of my notes, or (less frequently) searching Zotero for bibliographic data. I don't use tagging for this and I'll address full-text search of the documents in a bit. I can't say that either direct navigation or text search of the notes is dominant as I do a lot of both. Having multiple ways to find information is good for redundancy as if one way fails, you can try another. So I don't think the balanced approach I have will change in the future.

For navigating the directories, I have a Python script called cdref that will search the directory names, which has proved to be very useful. If there's one match, it'll go directly to that directory, and if there are multiple, a TUI will pop up and allow me to select the directory I want.

I haven't found full-text search of the documents themselves to be particularly useful because terminology varies, frequently what I'm looking for isn't in the text (could be a figure, for instance), and probably thousands of my documents haven't been OCRed. I think that relying too heavily on full-text search of the documents assumes that other people will organize information in a way useful to me, which isn't realistic [1]. Full-text search of the documents is a part of my system, still, but it's mostly used to find things to put in the directories or notes so that I can easily find the documents again without having to remember the right keywords. (Though I also often keep track of useful keywords.)

Often I won't remember where I keep some things or even if I have a directory or note on something at all. So I might accidentally create a redundant directory or note. But frequently I later realize that and use it as an opportunity to increase the connectivity of my directories and notes through symlinks. Then if I go to the "wrong" place, a symlink will send me where I should go. And if something pops into my head as related, I add a symlink or a note in the README file for a particular directory. (The README files in the directories are separate from the version controlled notes but will eventually merge, as I indicated.) Over the years, I've accumulated a lot of connections like this.

With all of this said, I think the important thing is to find a system that works for you that you can slowly scale over time. It doesn't need to look like my system. I've iteratively developed a system that works for me over 10+ years at this point. The scale is easy if you have a system you contribute a bit to on a regular basis over a long period of time.

[1] I've been also looking into having a large local bibliographic database to in part as an alternative to online scientific search engines like Google Scholar because I don't want to assume such services will always be available.
by staticassertion | 2026-02-24 04:16:57+00:00
First 2 are very legit, as a rust dev myself. I wish Rust had a larger stdlib and every argument against it leaves me pretty unconvinced/ feeling like the arguments could just as easily leave us to believe that "HashMap" should not be included (some people believe this), or even "time" should not be, etc.

The compile times are easily the worst part though. They couple poorly with (2).

I feel fine personally without (3), and (4)/(5) don't come up for me.

> For myself, for example... if it were my repository and my team and my hiring, and I was starting from scratch... I'd be extremely careful about third party crate adoption and have an extremely minimalistic approach there.

Same. I basically stick to a minimal `cargo-vet` and avoid new crates. I review new ones. I've chosen to take on a new crate when it's something like "the author literally wrote the spec for this format", but otherwise I'm reluctant.
by bdangubic | 2026-02-24 04:17:05+00:00
for every one like you I’ve worked with there are about 25 that went to school and got formal degree in their field and it showed at work. and the “you” I encountered were all exceptional which you definitely sound like you are as well. but you are an exception. try getting a job anywhere in any industry (particularly ours) with “i am self-thought _____” - you’d likely be put into “code bootcamp candidate” bucket and never get a chance to even show what you are made of.
by nirvdrum | 2026-02-24 04:17:11+00:00
What makes plasma the obvious worse choice? I have a 50” plasma that still looks better than just about any non-OLED TV I’ve seen. I understand price was a concern, but OLED TVs sit in that price category now.

The only real downside with the TV is that uses more power than I’d like and, consequently, throws off more heat than I’d like. Otherwise, it’s been very reliable and looks fantastic. I’m curious what I’m missing.
by bdangubic | 2026-02-24 04:17:16+00:00
I am a contractor and have been fixing shit large part of my career. non-idempotent POSTs are just about always at the top of the list of shit to fix immediately. To this day (30 years in) I do not understand how can someone design a system where POSTs are not idempotent… I mean I know why, the vast majority of people in our industry are just not good at what they do but still…
by bdangubic | 2026-02-24 04:17:26+00:00
This would check out at companies where you could “coast” without any oversight and were just randomly estimating some “points” on your “stories” or whatever BS process is in place.

On real projects and real teams you can’t do this. If you did what you did in your example you’d say log 8hrs of work, right? Your team lead will ask a simple question: “did you write this code or was it AI-assisted? and what exactly here took 8hrs?” so you could do this once and 2nd time you’d be changing the status on linkedin to looking for work