MurphyA/hacker-news huggingface dataset:
by lunar_mycroft | 2026-02-19 20:59:19+00:00
Not a scientific study, but someone did replicate the experiment on themselves [0] and found that in their case, any effect from LLM use wasn't detectable in their sample. Notably they almost certainly had more experience with LLMs than most of the METR participants did.

[0] https://mikelovesrobots.substack.com/p/wheres-the-shovelware...
by Lerc | 2026-02-19 20:59:20+00:00
Section 116 (2) A plaintiff is not entitled by virtue of this section to any damages or to any other pecuniary remedy, other than costs, if it is established that, at the time of the conversion or detention:

(a) the defendant was not aware, and had no reasonable grounds for suspecting, that copyright subsisted in the work or other subject - matter to which the action relates;

(b) where the articles converted or detained were infringing copies--the defendant believed, and had reasonable grounds for believing, that they were not infringing copies; or*

(c) where an article converted or detained was a device used or intended to be used for making articles--the defendant believed, and had reasonable grounds for believing, that the articles so made or intended to be made were not or would not be, as the case may be, infringing copies. *

Does this not mean the opposite of your claim? It sounds to me that if you unwittingly bought a dodgy copy of something, the law thinks the copyright owner can get you to pay for a legit copy, but not punish you for your mistake.*
Show HN: Aegis AI – The First AI Home Security Agent (GPT+Local,Mac/PC)
by simbaz | 2026-02-19 20:59:22+00:00
Website: https://www.sharpai.org

Aegis AI is a desktop app that turns your existing cameras into an intelligent security system — the world's first AI Security Agent for your home. It runs on your Mac or PC (even a Mac M1 Mini with 8GB RAM can deploy a LFM2.5 model for video analysis), connects to any camera you already own — and even your laptop's webcam or an old iPhone can become a security camera. Your agent stays connected to your phone through Discord, Telegram, or Slack, so you're always in the loop.

The World's First AI Security Agent for Your Home
Home security today means dozens of useless motion alerts a day, footage scattered across multiple apps with multiple subscriptions, and no way to just ask "did anyone come to the door today?" Aegis changes that. It's an AI agent that watches, understands, and talks to you — not a dumb motion detector.

How Aegis Works
Connect any camera — Ring, Blink, DaHua, HikVision, Reolink, any RTSP/ONVIF IP camera, your phone, your webcam, even a retired iPhone or iPad sitting in a drawer. Aegis unifies them all into one place.

AI watches and understands — Choose how you want your AI to run: locally via llama-server with vision models from HuggingFace — SmolVLM2, LLaVA, MiniCPM-V, Qwen-VL, LFM, and more — or through GPT Vision / Google APIs with your own key. Aegis doesn't just flag motion — it tells you who's there and what's happening.

Smart alerts, not spam — Instead of 47 notifications about wind and shadows, you get meaningful ones: "UPS driver at the front door" or "your kid just got home from school." Behind this is an agentic framework with an advanced memory and knowledge system — Aegis learns who's family, what's routine, and what's actually unusual. It deduplicates events, builds context over time, and makes security decisions, not just detections. Alerts go to Slack, Discord, or Telegram — wherever your family already is.

Ask it anything — Missed something? Just ask. "What happened at the front door today?" Your agent watched everything and gives you a real answer.

Everything stored locally — Every clip saved on your machine. Instant playback, no buffering, no subscription. One unified timeline across all cameras — scrub through your day and find the exact moment.

Why I Built This
I have a mix of Ring, Blink, and IP cameras. I was tired of useless alerts, footage locked behind subscriptions, and having no way to just ask what happened while I was away. So I built the agent I wanted.

Current Status
The app is functional in beta release and I use it daily. Multi-camera integration, local and cloud AI, unified timeline, chat interface, smart alerts, and cross-platform support (Mac, Windows, Linux) are all working. Currently adding more camera integrations and a mobile companion app.

Try it: https://www.sharpai.org

Happy to answer any questions!
by elric | 2026-02-19 20:59:27+00:00
Could be a lot of things. Lots of long distance runners consume a lot of sugary gels to keep going. Not sure what the typical composition is, but likely lots of glucose and no fibre.

The marathon runners I know also seem to eat tons of junk food, they can get away with it from a weight perspective because a long run will burn it off, but it could have other consequences.

Point being: there's a lot about long distance runners that's quite different from other people.
by slfnflctd | 2026-02-19 20:59:31+00:00
The title resonates with me. The post does not.

Cynicism is the mind's way of protecting itself from repeating unproductive loops that can be damaging. Anyone who ever had a waking dream come crashing down more than once likely understands this.

It doesn't necessarily logically follow that you wholesale reject entire categories of technology which have already shown multiple net positive use cases just because some people are using it wastefully or destructively. There will always be someone who does that. The severity of each situation is worth discussing, but I'm not a big fan of the thought-terminating cliché.
by saezbaldo | 2026-02-19 20:59:33+00:00
The cascading failure point is critical. A 1% miss rate per layer in a 5-layer pipeline gives you roughly 5% end-to-end failure, and that's assuming independence. In practice the failures correlate because multilingual edge cases that bypass one guardrail tend to bypass adjacent ones too.

The observation that guardrails need to move from static policy filters to composable decision layers is exactly right. But I'd push further: the layer that matters most isn't the one checking outputs. It's the one checking authority before the action happens.

A policy filter that misses a Persian prompt injection still blocks the action if the agent doesn't hold a valid authorization token for that scope. The authorization check doesn't need to understand the content at all. It just needs to verify: does this agent have a cryptographically valid, non-exhausted capability token for this specific action?

That separates the content safety problem (hard, language-dependent, probabilistic) from the authority control problem (solvable with crypto, language-independent, deterministic). You still need both, but the structural layer catches what the probabilistic layer misses.
by BizarroLand | 2026-02-19 20:59:54+00:00
The actual title of the article is "The Left Doesn't Hate Technology, We Hate Being Exploited" and I think anyone can agree with that sentiment regardless of your political leanings.

LLMs are amazing math systems. Give them enough input and they can replicate that input with exponential variations. That in and of itself is amazing.

If they were all trained on public domain material, or if the original authors of that material were compensated for having the corpus of their work tossed into the shredder, then the people who complain about it could easily be described as Luddites afraid of having their livelihood replaced by technology.

But you add in the wholesale theft of the content of almost every major, minor, great and mediocre work of fiction and non-fiction alike to be shredded and used as logical paper mache to wholesale replace the labor of living human beings for nickles on the dollar and their complains become much more valid and substantial in my opinion.

It's not that LLMs are bad. It's that the people running them are committing ethical crimes that have not been formally illegalized. We can't use the justice system to properly punish the people who have literally photocopied the soul of modern media for an enormously large quick buck. The frustration and impotence they feel is real and valid and yet another constant wound for them in a life full of frustrating constant wounds, which in itself is a lesser but still substantial portion of what we created society to guard the individual against.

It's a small group of ethically amoral people injuring thousands of innocent people and making money from it, mind thieves selling access to their mimeographs of the human soul for $20/month, thank you very much.

If some parallel of this existed in ancient Egypt or Rome, surely the culprits would be cooked alive in a brazen bull or drawn and quartered in the town square, but in the modern era they are given the power and authority and wealth of kings. Can you not see how that might cause misery?

All that being said, if the 20 year outcome of this misery is that everyone ends up in an GAI assisted beautiful world of happiness and delight, then surely the debt will be paid, but that is at bet a 5% likely outcome.

More likely, the tech will crash and burn, or the financial stability of the world that it needs to last for 20 years will crash and burn, or WWIII will break out and in a matter of days we will go from the modern march towards glory to irradiated survivors struggling for daily survival on a dark poisoned planet.

Either way, the manner in which we are allowing LLMS to be fed, trained, and handled is not one that works to the advantage of all humanity.
by Animats | 2026-02-19 21:00:23+00:00
I want a lie bounty. If I pay for an article and find a lie in it, I should get a refund plus a bug bounty. That would make fact-checking pay off.

A real problem is that most of the fact-oriented sources are paywalled, while the polemic sites, especially on the hard right, are free. Fox News and X are free, but the New York Times and the Wall Street Journal are paywalled.
by onyx228 | 2026-02-19 21:00:30+00:00
A randomly generated program from a space of programs defined by a set of generating actions.

A simple example is a programming language that can only operate on integers, do addition, subtraction, multiplication, and can check for equality. You can create an infinite amount of programs of this sort. Once generated, these programs are quickly evaluated within a split second. You can translate them all to English programmatically, ensuring grammatical and semantical correctness, by use of a generating rule set that translates the program to English. The LLM can provide its own evaluation of the output.

For example:

program:

1 + 2 * 3 == 7

evaluates to true in its machine-readable, non-LLM form.

LLM-readable english form:

Is one plus two times three equal to seven?

The LLM will evaluate this to either true or false. You compare with what classical execution provided.

Now take this principle, and create a much more complex system which can create more advanced interactions. You could talk about geometry, colors, logical sequences in stories, etc.
by Retric | 2026-02-19 21:00:47+00:00
In a hypothetical universe with different laws people would make different decisions, like abandoning the US. But you’re asking about medical conditions which rarely apply and laws that don’t exist. That’s not a failing of FIRE for the vast majority of people.

Further FIRE doesn’t mean crap if you get something serious and die at 23, that’s just the reality of human existence.
by dsiegel2275 | 2026-02-19 21:00:53+00:00
Very nice and I just did the exact same thing recently!

When I was in first or second grade (circa 1982) our family got a TRS-80 Model 3 and I started learning BASIC on it. I built a bunch of small little programs and even started an ambitious project: a full text adventure game called "Manhole Mania!". You, as the player, were a public works employee sent into the sewers to investigate strange noises. I never made much progress, maybe only a few rooms.

Just a couple of weeks ago I had the idea of just pointing Codex CLI at my unfinished game idea and "one-shotting" it. I wrote a fairly detailed prompt, constrained it to use Elm and to make it a static website. Gave a rough outline of a simple, but playable Manhole Mania. 5 mins, 43 seconds later:

https://manhole-mania.com/
by unsnap_biceps | 2026-02-19 21:00:55+00:00
There's a valid argument that allowing petty crime to fester encourages people to grow into more serious crimes. I live in a small town and the police do have the resources to investigate stolen bikes, and stolen bikes happen, but it's rare enough that people often don't lock up their bikes when they're in the town center.

Granted, there's a rate of return issue here that the cities will struggle with, but for the small town forces, it's worth their time to keep petty crime down IMHO.
by simianwords | 2026-02-19 21:01:03+00:00
> The fun thing is that even the strawberry issue tells us more about the limitations of llms than not. In other words, that error is useful

That's a fair way to look at it - failure modes tell us something useful about the underlying system. In this case it tells us something about how LLM's work at the token level.

But if you go a step beyond that, you would realise that this problem is solved at a _general_ level with the reasoning models. GPT o1 was internally named strawberry as far as I remember. This would be a nice discussion to have but instead of shallow dismissal of AI as a technology with a failure mode that has been pretty much solved.

What really has not been solved is long context and continual learning (and world model stuff but I don't find that interesting).
by bahmboo | 2026-02-19 21:01:06+00:00
Excellent content. The delivery mechanism of the site cited is very polarizing! At the very least it’s generated a lot of opinions. If I think of the target audience used to TikTok engagements it makes a lot of sense. It’s swipey influenced and interactive. It breaks the back button oh well we have browser tabs right?

The web is best for me when experimental UX like this is tried out.
by TheDong | 2026-02-19 21:01:16+00:00
I've found Go's standard library to be really unfortunate compared to rust.

When I update the rust compiler, I do so with very little fear. My code will still work. The rust stdlib backwards compatible story has been very solid.

Updating the Go compiler, I also get a new stdlib, and suddenly I get a bunch of TLS version deprecation, implicit http2 upgrades, and all sorts of new runtime errors which break my application (and always at runtime, not compiletime). Bundling a large standard library with the compiler means I can't just update the tls package or just update the image package, I have to take it or leave it with the whole thing. It's annoying.

They've decided the go1 promise means "your code will still compile, but it will silently behave differently, like suddenly 'time1 == time2' will return a different result, or 'http.Server' will use a different protocol", and that's somehow backwards compatible.

I also find the go stdlib to have so many warts now that it's just painful. Don't use "log", use "log/slog", except the rest of the stdlib that takes a logger uses "log.Logger" because it predates "slog", so you have to use it. Don't use the non-context methods (like 'NewRequest' is wrong, use 'NewRequestWithContext', don't use net.Dial, etc), except for all the places context couldn't be bolted on.

Don't use 'image/draw', use 'golang.org/x/image/draw' because they couldn't fix some part of it in a backwards compatible way, so you should use the 'x/' package. Same for syscall vs x/unix. But also, don't use 'golang.org/x/net/http2' because that was folded into 'net/http', so there's not even a general rule of "use the x package if it's there", it's actually "keep up with the status of all the x packages and sometimes use them instead of the stdlib, sometimes use the stdlib instead of them".

Go's stdlib is a way more confusing mess than rust. In rust, the ecosystem has settled on one logging library interface, not like 4 (log, slog, zap, logrus). In rust, updates to the stdlib are actually backwards compatible, not "oh, yeah, sha1 certs are rejected now if you update the compiler for better compile speeds, hope you read the release notes".
by pndy | 2026-02-19 21:01:27+00:00
The road is bit longer when you decide to use Open Core Legacy Patcher.

I managed to install Sonoma or Sequoia on my 2011 mbp but it was barely usable - nearly every Apple application was broken due to lack of Metal support. So I've pick Manjaro and while every now and then Wifi stops working, it's bit more capable but nothing crazy tho since it's nearly 15 yo machine.
by aatd86 | 2026-02-19 21:01:33+00:00
There is a moral hazard here. By accepting that APIs are forever, you tend to be more cautious and move toward getting it right the first time.
Slower is better... And also faster in the long run, as things compose.
Personally, I do believe that there is one best way to do things quite often, but time constraints make people settle.

At least it is my experience building some systems.

Not sure it is always a good calculus to defer the hard thinking to later.
by 15155 | 2026-02-19 21:02:14+00:00
Long gun homicides (justified and unjustified, "assault weapons" and grandpa's 30-06 combined) are typically sub-100 per year, see: FBI crime stats for the last N decades.

Pick whatever demise: falling off of ladders, roofs, etc. - it's not hard to exceed this number in any given year.
by tinfoilhatter | 2026-02-19 21:02:27+00:00
> ... shows me how factual each source is and which way they lean politically.

Fact-checkers and whatever you call people that gauge political biases aren't impartial sources of information. Someone pays their bills and those people typically have agendas besides delivering objective truth.

I'm not suggesting that paying monthly fees or paywalls are a solution to the problem either.

The real solution is to stop reading the news IMO. Let these companies go out of business and get replaced by something better. If one must read the news, just use an aggregator and archive.is for bypassing paywalls.
by yieldcrv | 2026-02-19 21:03:17+00:00
yeah, complex SVG's are so much more bandwidth, computation and energy efficient than raster images - up to a point! but in general use we are not at that point and there's so much more we can do with it

I've been meaning to let coding agents take a stab at using the lottie library https://github.com/airbnb/lottie-web to supercharge the user experience without needing to make it a full time job
by dmbche | 2026-02-19 21:04:30+00:00
"The more revealing signal is in the tail. The longest turns tell us the most about the most ambitious uses of Claude Code, and point to where autonomy is heading. Between October 2025 and January 2026, the 99.9th percentile turn duration nearly doubled, from under 25 minutes to over 45 minutes (Figure 1)."

That's just straight up nonsense, no? How much cherry picking do you need?
by fmajid | 2026-02-19 21:04:31+00:00
I have a patent on micropayments for the Web from 1996. 30 years later, the situation hasn't changed and Clay Shirky or Andrew Odlyzko's arguments around the mental cost of microtransactions remain valid. Besides subscriptions to individual publications, the only model that would work is a Spotify-like subscription for a bundle of sites, with the revenue shared according to page views (or better, some metric that does not reward clickbait).

If they don't want to be stiffed on royalties like how musicians get pennies from Spotify, news sites will need to establish some sort of co-op to host this, and not rely on the likes of Meta or Apple, as tech companies have proven treacherous to the news biz many, many times before.
by micromacrofoot | 2026-02-19 21:04:35+00:00
who the hell wants to think about micropayments every time they read an article? microtransactions just suck outright, they create a ton of overhead for everyone involved — both use and implementation

not to mention that they're fundamentally incompatible with the american credit card cabal, which forces you into buying some goofy monopoly money that you're likely to overspend on regularly
Show HN: Single Tool – Shorten links or send files instantly
by aliakyildiz | 2026-02-19 21:05:04+00:00
Stop juggling multiple tools for simple tasks. Shorten links or send files instantly. Simplify your workflow today. You can get started in just three simple steps by creating your account, choosing your tool, and sharing your links immediately. Start in 30 seconds with no credit card required and the freedom to cancel anytime.
by simbaz | 2026-02-19 21:05:04+00:00
The world's first AI Home Security Agent for your home. Runs on your Mac or PC — even a Mac M1 Mini with 8GB RAM can deploy a LFM2.5 model for video analysis.

Connect any camera you already own — Ring, Blink, DaHua, HikVision, Reolink, any RTSP/ONVIF IP camera, your laptop's webcam, or even an old iPhone sitting in a drawer. Aegis unifies them all into one place.

Choose how your AI runs: locally via llama-server with vision models from HuggingFace (SmolVLM2, LLaVA, MiniCPM-V, Qwen-VL, LFM, and more), or through GPT Vision / Google APIs with your own key. Aegis doesn't just flag motion — it tells you who's there and what's happening.

Behind the smart alerts is an agentic framework with an advanced memory and knowledge system. Aegis learns who's family, what's routine, and what's actually unusual. It deduplicates events, builds context over time, and makes security decisions, not just detections. Alerts go to Slack, Discord, or Telegram — wherever your family already is.

Missed something? Just ask: "What happened at the front door today?" Your agent watched everything and gives you a real answer — not a list of clips.
Everything is stored locally. Every clip on your machine, instant playback, no subscription. One unified timeline across all cameras.
I built this because I was tired of useless motion alerts, footage locked behind subscriptions, and having no way to just ask what happened while I was away.
The app is functional and I use it daily. Multi-camera integration, local and cloud AI, unified timeline, chat interface, smart alerts, cross-platform (Mac, Windows, Linux) all working.

Happy to answer any questions!
by MATTEHWHOU | 2026-02-19 21:05:06+00:00
The interesting thing about llms.txt isn't the file format — it's the incentive shift.

With robots.txt, you were telling crawlers to go away. With llms.txt, you're inviting them in and curating what they see. That's a fundamentally different relationship.

I've been experimenting with this on a few projects and the biggest lesson: your llms.txt should NOT be a sitemap. It should be the answer to "if an AI could only read 5 pages on my site, which 5 would make it actually useful to end users?"

The projects where I got this right saw noticeably better AI-generated answers about our tools. The ones where I just dumped every doc link? No difference from not having it at all.
by rdtsc | 2026-02-19 21:05:15+00:00
> So many managers have decided they're going to have an AI Miracle and aren't interested in hearing otherwise, no matter what staff tells them.

Managers' manager convinced them they should expect an AI Miracle. Now your job is to put on a show to pretend to create an AI Miracle so your manager and their manager can pat themselves on the back.

Under enough pressure to use AI people will just produce code as before but LLM-ize it with more comments and verbose crap to look like AI did it. "See boss, I am using AI, so happy you got us this tool".

However, if you do it too well the next step will be "we don't really need so and so, we'll just replace them with an AI agent since it was working out so well".
by dkural | 2026-02-19 21:05:22+00:00
How much of the rise do the listed later on (endurance athletes, obesity, sugary drinks, sedentary lifestyle) explain the relative youth rise? After all, some of this was an issue in 2006 as it is in 2026. Does it explain most of the relative rise, or is there a major missing piece / a mystery still to be explained? I doubt the % of endurance athletes changed meaningfully population-wide, to be a major contributing factor, for example.