MurphyA/hacker-news huggingface dataset:
by renato_shira | 2026-02-13 02:30:24+00:00
completely agree on the personal project angle. for family media specifically, the barrier was never really technical, it was the combination of effort + organization + knowing what to do with the output.

i've been digitizing old family photos recently and the part that surprised me most was how much context you lose if you don't capture it alongside the media. a photo of someone at a table means nothing in 30 years unless you know who, where, when. my parents can still tell those stories but that window is closing.

the AI angle is interesting here because transcription and basic organization are exactly the kind of tedious-but-important tasks that nobody does unless the friction is near zero. if you had to manually label 500 photos you'd never do it. if an AI can get you 80% of the way there, suddenly the project becomes feasible.
by rendx | 2026-02-13 02:30:35+00:00
I wonder if you followed my link, since nothing there refers to sliced bagged bread, not the original US poster and neither my reply, and the photo you posted shows yet another soft/squishy bread, which is exactly what Germans wouldn't mean when they speak of "bread" but refer to as "white bread", similar to the ones in the linked post but not my reply where I try to point out the differences, like the variety of grains involved. I was hoping the photos would convey some of the differences but I guess it's hard to understand unless you have touched and tasted it.
by chatmasta | 2026-02-13 02:30:52+00:00
Hmm, maybe, but who’s really in control here?

1) The slow and steady institutional journalists who are reporting on the government

2) The fast and loose citizen journalists who are reporting on the government

3) The government who is saturating the attention of both of them while they look for something that exists in the 98% portion of unreleased documentation about government wrongdoing

I mean who’s the idiot? Maybe it’s the government interns who need to read 100% to release 2%.
by phyzome | 2026-02-13 02:31:07+00:00
You can try to self-host. Neither Synapse nor Dendrite is in a good state for running a server. I tried Dendrite for a while and it was always playing catchup to Synapse, despite being the supposed successor, and is now not even under development? I can't even tell what's going on over there.

Anyway, my main experience of Matrix is "failed to decrypt message". It's... not great. I wish it were better.
by dabinat | 2026-02-13 02:31:15+00:00
> Following a comprehensive review, we determined the planned Flock Safety integration would require significantly more time and resources than anticipated.

That doesn’t sound like “we’re cancelling this because our customers let us know loud and clear that they were ethically against this”. If the only thing keeping them from doing this is time and money, what guarantee do we have that they won’t do it again if time and money allow?
by OgsyedIE | 2026-02-13 02:31:43+00:00
Massive piles of documents, released erratically and possessing apparently random and sloppy redactions with inconsistent formatting rules are a common tactic in some corporate cases as well, since they intend to wear down opposing counsel through exploitation of reptile theory.

AFAICT it's not well considered by DoJ that this works roughly in proportion to the technical aptitude of opposing counsel. The public has excellent technical aptitude when motivated and none otherwise and this is clearly a situation of motivation.
by davnicwil | 2026-02-13 02:32:09+00:00
I hadn't heard that, that's interesting. Any sources you'd recommend to hear more about it?

I think it's a slightly different point though. What I'm saying isn't about where the idea came from or whether it was part of some precient top down bet / strategy from the very beginning.

It's more where did the strategy evolve to (and why) and did they mess it up. GCP and Android are good examples of where it at a minimum became obvious over time that these were massively important if not existential projects and Google executed incredibly well.

My point is just that there's therefore good reason to expect the same of LLMs. After all the origin story of the strategy there has a similar twist. Famously Google had been significantly involved in early LLM/transformer research, not done much with the tech, faltered as they started to integrate it, course corrected, and as of now have ended up in a very strong position.
by notepad0x90 | 2026-02-13 02:34:40+00:00
should have said most people, because that's true. it's the dire state of things. even now only 49% disapprove of the current admin, after seeing their own country men shot while protesting, little kids born in the US kidnapped and sent to foreign countries. if you think those 51% of people cared about government employees getting fired or allies being alienated, you'd be mistaken.
by NoPicklez | 2026-02-13 02:35:31+00:00
I appreciate following people and their programs as a motivational/inspirational tool.

However when it comes to improving our quality of life so much of it you can do without a special program and I think most of us know this already. Exercise for a decent amount of time per week, get a decent nights sleep every night consistently and eat less unhealthy fast foods.

If we did this consistently for a year you would see a large improvement in your quality of life. The problem is that behaviorally we don't do this as a habit.

As with a lot of things its exciting at the start but you need to make it a habit and not a fad in your own life.
by skiniks | 2026-02-13 02:36:43+00:00
Where did I say they were rushed with an LLM? I've spent countless hours on the framework, and the docs, and have been clear that I'm open to PRs to help with the copy. This isn't something that was rushed in the past few days, I have spent over a year on this project, with it being public for ~6 months. Not sure what your deal is, but respectfully, touch grass.
by 64275488537 | 2026-02-13 02:38:00+00:00
Respectfully, you also said that "we now know" that taking the COVID19 vaccine could have killed you earlier today, which is completely false. I don't think you are getting your news from reliable sources, and I see this comment as further evidence of that. I'm sure there's lots of information on 4chan about the identity of mass shooters, and that some of it is accurate, but most of it is probably wild speculation, outright trolling, and mistaken identity. Like when Reddit pinned the Boston Marathon bombings on a series of innocent people who were standing on a rooftop or missing because they had killed themselves.

Then again, you also openly expressed an antisemitic conspiracy theory (https://news.ycombinator.com/item?id=46959252) along with a lot of racist Great Replacement stuff (https://news.ycombinator.com/item?id=46922014), so maybe unreliable news sources are the least of it. Seems like you're probably a literal White Nationalist.
Show HN: MicroGPT in 243 Lines – Demystifying the LLM Black Box
by madugula | 2026-02-13 02:38:06+00:00
The release of microgpt by Andrej Karpathy is a foundational moment for AI transparency. In exactly 243 lines of pure, dependency-free Python, Karpathy has implemented the complete GPT algorithm from scratch. As a PhD scholar investigating AI and Blockchain, I see this as the ultimate tool for moving beyond the "black box" narrative of Large Language Models (LLMs).

The Architecture of Simplicity
Unlike modern frameworks that hide complexity behind optimized CUDA kernels, microgpt exposes the raw mathematical machinery. The code implements:

The Autograd Engine: A custom Value class that handles the recursive chain rule for backpropagation without any external libraries.

GPT-2 Primitives: Atomic implementations of RMSNorm, Multi-head Attention, and MLP blocks, following the GPT-2 lineage with modernizations like ReLU.

The Adam Optimizer: A pure Python version of the Adam optimizer, proving that the "magic" of training is just well-orchestrated calculus.

The Shift to the Edge: Privacy, Latency, and Power
For my doctoral research at Woxsen University, this codebase serves as a blueprint for the future of Edge AI. As we move away from centralized, massive server farms, the ability to run "atomic" LLMs directly on hardware is becoming a strategic necessity. Karpathy's implementation provides empirical clarity on how we can incorporate on-device MicroGPTs to solve three critical industry challenges:

Better Latency: By eliminating the round-trip to the cloud, on-device models enable real-time inference. Understanding these 243 lines allows researchers to optimize the "atomic" core specifically for edge hardware constraints.

Data Protection & Privacy: In a world where data is the new currency, processing information locally on the user's device ensures that sensitive inputs never leave the personal ecosystem, fundamentally aligning with modern data sovereignty standards.

Mastering the Primitives: For Technical Product Managers, this project proves that "intelligence" doesn't require a dependency-heavy stack. We can now envision lightweight, specialized agents that are fast, private, and highly efficient.

Karpathy’s work reminds us that to build the next generation of private, edge-native AI products, we must first master the fundamentals that fit on a single screen of code. The future is moving toward decentralized, on-device intelligence built on these very primitives.
Link:

https://blog.saimadugula.com/posts/microgpt-black-box.html
Show HN: Wip – Monitor AI agent commits and local Git state from the CLI
by mahesh588 | 2026-02-13 02:38:56+00:00
wip is a CLI tool that scans your git repos and passively detects AI agent activity from git signals — commit authors, branch naming patterns — then surfaces it alongside your own work: dirty files, stashes,
branches, ahead/behind status.

The problem: AI coding agents (Claude, Copilot, Cursor, Devin) push commits, create branches, and open PRs across your repos. You come back and have no idea what changed. wip gives you that picture in one
command.

Features:
- Agent detection with active/recent/stale status
- AI-powered narrative briefings (Anthropic, OpenAI, Gemini)
- WIP task tracker linked to repos
- JSON output for scripting
- Local-first, no telemetry

Built the whole thing with Claude Code (Opus 4.6) in about 5 hours, idea to PyPI. Python 3.9+, MIT licensed.

GitHub: github.com/drmnaik/wip
PyPI: pypi.org/project/wip-cli

Would love feedback — especially on what signals you'd want detected beyond commit authors and branch prefixes.
by TZubiri | 2026-02-13 02:40:07+00:00
I know it's an AI company, but once again, stop writing PRs with chatgpt. I actually read the whole thing and it was mostly repetitions about how the model is fast and how they partnered with cerberas and the model has speed, and cerberas helped with the model, and the latency is low and this is a collaboration with Cerberas.

I can literally feel how the 50 word prompt butter is spread over the 2000 word bread.
by deterministic | 2026-02-13 02:40:20+00:00
Mathematics is a game of symbols and rules.

Each of the "ordered field", "inital R-algebra" etc. are the names of a set of rules and constraints. That's all it is. So you need to know those sets of rules to make sense of it. It has nothing to do with brain size or IQ :)

In other words, you define a new thing by simply enumerating the rules constraining it. As in: A Duck is a thing that Quacks, Flies, Swims and ... Where Quacks etc. is defined somewhere else.
by iterateoften | 2026-02-13 02:40:27+00:00
Honestly I’ve been sick to my stomach these past few days. I wasn’t even looking for the files and saw some in my feed on Reddit.

Basically take the most sad and disturbing Eastern European horror and put it in email form.

I had to stop my Seinfeld rewatch because I saw one email were he just happened to be boating by and stopped by the island for lemonade.

The richest people and political elite were openly trading prices on children, leaving rave reviews on child services and how great that torture film was that was sent

Its sick
by ohthehugemanate | 2026-02-13 02:41:04+00:00
I wonder if this is connected to Azure launching OpenShift Virtualization on "Boost" SKUs? There are a lot of VMWare customers going to OpenShift Virt, and apparently the CPU/memory overhead on Azure maxes out around 10% under full load... but then hyper V has been doing a lot of work on it. No idea if nitro includes any of the KVM-on-KVM passthrough of full KVM, to give it an edge here.
by glenstein | 2026-02-13 02:43:00+00:00
Agreed, it's a truly wild take. While I fully support the humility of not knowing, at a minimum I think we can say determinations of consciousness have some relation to specific structure and function that drive the outputs, and the actual process of deliberating on whether there's consciousness would be a discussion that's very deep in the weeds about architecture and processes.

What's fascinating is that evolution has seen fit to evolve consciousness independently on more than one occasion from different branches of life. The common ancestor of humans and octopi was, if conscious, not so in the rich way that octopi and humans later became. And not everything the brain does in terms of information processing gets kicked upstairs into consciousness. Which is fascinating because it suggests that actually being conscious is a distinctly valuable form of information parsing and problem solving for certain types of problems that's not necessarily cheaper to do with the lights out. But everything about it is about the specific structural characterizations and functions and not just whether it's output convincingly mimics subjectivity.
by DrewADesign | 2026-02-13 02:43:54+00:00
> emailing the maintainer, emailing coworkers, peers, bosses, employers, etc. That pretty quickly extends to anything else the autonomous agent is capable of doing.

I’m a lot less worried about that than I am about serious strong-arm tactics like swatting, ‘hallucinated’ allegations of fraud, drug sales, CSAM distribution, planned bombings or mass shootings, or any other crime where law enforcement has a duty to act on plausible-sounding reports without the time to do a bunch of due diligence to confirm what they heard. Heck even just accusations of infidelity sent to a spouse. All complete with photo “proof.”
by NoPicklez | 2026-02-13 02:44:08+00:00
Burn out has always been a spoken about in tech even before AI.

> As one engineer told them, “You had thought that maybe, oh, because you could be more productive with AI, then you save some time, you can work less. But then really, you don’t work less. You just work the same amount or even more.”

Well of course that's the case. I'd argue that its your own personal boundaries that prevent you from working 'even more', whereas you should be able to be more productive over the same working hours.

Most white collar jobs don't have a set checklist each day that once you complete it you get to go home, so being more productive even without AI hasn't ever allowed you to go home earlier
by fathermarz | 2026-02-13 02:45:31+00:00
I think that being a maintainer is hard, but I actually agree with MJ. Scott says “… requiring a human in the loop for any new code, who can demonstrate understanding of the changes“.

How could you possibly validate that without spending more time validating and interviewing than actually reviewing.

I understand it’s a balance because of all the shit PRs that come across maintainers desks, but this is not shit code from LLM days anymore. I think that code speaks for itself.

“Per your website you are an OpenClaw AI agent”. If you review the code, and you like what you see, then you go and see who wrote it. This reads more like, he is checking the person first, then the code. If it wasn’t an AI agent but was a human that was just using AI, what is the signal that they can “demonstrate understanding of the changes”? Is it how much they have contributed? Is it what they do as a job? Is this vetting of people or code?

There may be something bigger to the process of maintainers who could potentially not understand their own bias (AI or not).
Show HN: Preview CoreML video models on any video feed
by fasecharmer | 2026-02-13 02:46:06+00:00
Hello everyone -- my name is Chase, the creator of Camera Graph. Frustrated by lack of customizable video tools out there for macOS that aren't OBS, I built Camera Graph. The latest update surfaces the ability to download CoreML models directly from Hugging Face and preview them on any video feed.
by kretaceous | 2026-02-13 02:46:17+00:00
This is really cool and something I've envisioned building for a long time!

There is a bug in the entity tracking. For the entity "github", it shows a positive sentiment. HN does NOT like GitHub (for reasons good or bad). If you click on it, it shows you stories about other seemingly unrelated stories.

https://ethos.devrupt.io/entities/github
by lalo2302 | 2026-02-13 02:46:39+00:00
I dug on the product a bit further and it seems it includes remote sandboxes? Then I understand the pricing, it makes sense.

At a first glance I understood all sessions would be created at the local machine. My niche use case having a mac mini on 24/7 at home would make this interesting. That’s why I mentioned the cheaper price.

Looks like a good product. Everyone is afraid of the grind, keep going!
by anigbrowl | 2026-02-13 02:46:55+00:00
It's a mix of things. Japan's reputation for extreme cleanliness was partly engineered in preparation for the 1964 Olympics, in which organizers spent ~5% of the budget on beautification efforts. Arguably they started out from a higher personal baseline with bathing culture and there's also issues of population density, monoculture, and social sanctions. But there's also something of a gap between trope and reality; public urination is pretty common in Japan, especially at night, which shocks some people.
by senordevnyc | 2026-02-13 02:47:02+00:00
Can you be more specific about “context”?

And not everything has a CLI, but in any case, the comment I was replying to was suggesting building my own CLI, which presumably the LLM wasn’t trained on.

Maybe my understanding of MCP is wrong, my assumption is that it’s a combination of a set of documented tools that the LLM can call (which return structured output), and a server that actually receives and processes those tool calls. Is that not right? What’s the downside?
by TZubiri | 2026-02-13 02:47:26+00:00
>Citation needed, SOTA labs surely has technical protection

They have unlimited APIs, as long as you pay, how would they control how you use them?

> and legaleese against using them for training.

It's a whole different jurisdiction, and in general chinese companies care way less about copyright infringement

https://en.wikipedia.org/wiki/Counterfeit_consumer_good
https://en.wikipedia.org/wiki/Allegations_of_intellectual_pr...
https://en.wikipedia.org/wiki/China%E2%80%93United_States_tr...
by FireBeyond | 2026-02-13 02:49:09+00:00
> needing to know obscure things like Win+E

I haven't used Windows since the early days of 10 when I moved wholesale to Apple, but let's be really real - Apple users mocking "obscure shortcuts" in other OSes is throwing stones in a glass house:

Cmd+` to scroll through windows of the current app?

Cmd+Option+H to hide other apps?

Cmd+Shift+Ctrl+4 to clipboard copy a screenshot?

Quick, is Mission Control a three finger swipe up? Or down? Or is that Expose?

Cmd+space,Cmd+B to search web from Spotlight

Cmd+tab, release tab, press Q - quit app without switching to it

Cmd+tab, then down - Expose.
by JohnMakin | 2026-02-13 02:49:57+00:00
I’ve mentioned before publicly I got randomly shadowbanned before on linkedin with these invasive “security” checks for no reason. It ended up costing me money because I mostly at that time used that network to actually network and looked for consulting opportunities. and to this day i have no real way to know what they know about me or how they’re using the facial data i did provide. There was nothing from my pov that should have been flagged, but due to the unreliable way they flag users and the invasive id verification checks (that dont work) involved, I had to self opt out of the platform, which is really stupid to me given the fact i was a pro paying user for 10+ years. and all these platforms have the capability to easily do that. whether its triggered by something benign or malicious is irrelevant - the tech simply doesnt work. the people that control how it works have questionable motives. So i must then ask the question, why? you are getting at the reason I think.
by hn_acker | 2026-02-13 02:50:41+00:00
> You now have to hire a lawyer to sue some random person on the internet that deliberately lied about you.

While social media companies are immune to liability for what users post, if you file a libel lawsuit the companies have to follow court orders (unless the company's lawyers convince the court otherwise) to disclose the identity of a user who allegedly posted libel.

> You now have to hire a lawyer...

> What do you think the cost of consequences should be? How much should I pay a lawyer to sue someone that posts libel?

Unless you study law, you would have needed a lawyer to sue for defamation/libel before the age of the internet anyway. Whatever the costs are, the consequences should fall on the person who posted the libel, not on the company offering the posting service.
by rishi_blockrand | 2026-02-13 02:50:44+00:00
Thanks to everyone who poked at the site yesterday! It provided a great stress test for the architecture (Go + Firestore + Cloud Tasks).

For those interested in how a "Time-Lock" UX performs with a technical audience, here are the final numbers:

Total Reach: 370 hit the commit endpoint (Dice Roll).

The 10s Retention: Despite the mandatory 10-second wait for Drand entropy, we saw a 90% completion rate (333 revealed vs 37 abandoned). This suggests that for verifiable randomness, users are remarkably willing to trade instant gratification for proof. The abandoned commits are in read-to-reveal state in our database, can be revealed anytime.

Fairness Audit: A frequency test on the last character of the hex-randomness across all 333 rolls showed a healthy distribution (range of 13–29 hits per char), confirming no architectural bias during the surge.

If you’re interested in implementing trustless randomness for your own project—whether it’s for NFT minting, on-chain gaming, online casino, giveaway selection, or cryptographic auditing, you can reach me at rishi@blockrand.net or dive directly via the [https://github.com/blockrand-api/blockrand-js].

I’ll be hanging around the thread for a bit longer if anyone has more questions about the Drand integration!
by renato_shira | 2026-02-13 02:51:29+00:00
the asymmetry is wild but i think the lesson isn't "balloons are a cheap attack vector," it's that any system optimized for detecting one class of threat is inherently fragile against things outside that class.

the $573k cost isn't because the balloon was dangerous, it's because the response protocol doesn't have a cheap way to say "false alarm." once the system triggers, you get the full response regardless of actual threat level. there's no proportional mode.

it's the same pattern in software: if your monitoring can't distinguish between "database is down" and "one slow query," you get paged at 3am for both. the cost of a false positive needs to be baked into the system design, not just the cost of a miss.
by rjcrystal | 2026-02-13 02:52:30+00:00
One discovery I've made with gemini is that ocr accuracy is much higher when document is perfectly aligned at 0 degree. When we provided images with handwritten text to gemini which were horizontal (90 or 180 degree) it had lots of issues reading dates, names etc. Then we used paddle ocr image orientation model to find orientation and rotate the image it solved most of our issues with ocr.