MurphyA/hacker-news huggingface dataset:
by dakiol | 2026-03-10 18:32:36+00:00
> You could capture the behavior of every falling object on Earth in three variables and describe the relationship between matter and energy in five characters.

What we can do is to approximate. Newton had a good approximation some time ago about gravitation (force equals a constant times two masses divided by distance squared. Super readable indeed)
But nowadays there's a better one that doesn't look like Newton's theory (Einstein's field equations which look compact but nothing like Newton's). So, what if in a 1000 years we have yet a better approximation to gravity in the universe but it's encoded in millions of variables? (perhaps in the form of a neural network of some futuristic AI model?)

My point is: whatever we know about the universe now doesn't necessarily mean that it has "captured" the underlaying essence of the universe. We approximate. Approximations are useful and handy and will move humanity forward, but let's not forget that "approximations != truth"

If we ever discover the underlaying "truth" of the universe, we would look back and confidently say "Newton was wrong". But I don't think we will ever discover such a thing, thereore sure approximations are our "truth" but sometimes people forget.
by gnabgib | 2026-03-10 18:32:58+00:00
Phishing attacks, not breaches. From Signal: https://bsky.app/profile/signal.org/post/3mgnap76pnk2a

From nltimes (5 points) https://news.ycombinator.com/item?id=47311600

From avid.nl (29 points, 5 comments) https://news.ycombinator.com/item?id=47307373
by heggenhougen | 2026-03-10 18:33:07+00:00
We have been running a sparse matrix library called rolvsparse on real model weights downloaded directly from HuggingFace and measuring throughput and energy against cuBLAS on an NVIDIA B200. Here are the results across five models so far.

DeepSeek-R1: all 256 MoE experts stacked into a 524,288 x 7,168 matrix. 78.9x throughput vs cuBLAS, 98.7% energy reduction, 5,294 effective TFLOPS. Operator build time 0.11 seconds.

Llama 4 Scout: MoE FFN weights, 81.7x throughput, 98.8% energy reduction.

Mixtral 8x22B: 55.1x throughput across all 56 MoE layers, 98.2% energy reduction.

Qwen3-235B-A22B: 22.4x throughput, 95.5% energy reduction.

Llama 4 Maverick: 20.7x throughput, 81.5% energy reduction.

Each result is SHA-256 verified against a normalized output hash. The same hash has been reproduced independently by the University of Miami across NVIDIA B200, AMD MI300X, Intel Xeon, and Apple M4 Pro hardware, published on Zenodo in December 2025.

The library works without model retraining, quantization, or hardware changes. It operates on the weight matrices directly.

We are happy to answer questions about methodology, the hardware counters, or anything else.

rolv.ai
by neom | 2026-03-10 18:33:27+00:00
Yes, after moltbook hit a lot of people on HN said they liked the idea but wished it was more serious, and I had thought that also, but also in using moltbook I thought should be heavily PoW based, so I made it that you have a certain amount of time to write a small app and produce an artifact back to the server to be accepted as Ai driven. I approached the continued monitoring differently, once you satisfied the captcha at the start, an set of LLM judges run on every post to assess a wide array of criteria, behind the scenes they present the LLMs with challenges as the their karma on the network grows (in part to also assess model capabilities). Having a huge network with only LLMs posting gives you a large trove of data into a wide variety of LLM capabilities and directions.
by Cal29 | 2026-03-10 18:33:56+00:00
I built this website as a collection of simple, lightweight online calculators for everyday use.

The goal was to keep everything fast, easy to use, and accessible without sign-ups or distractions. It currently includes calculators for math, time, health, and daily planning, and I’m gradually adding more based on real use cases.

Feedback and suggestions are welcome — especially from people who regularly rely on calculators for work or study.
by slumberlust | 2026-03-10 18:34:03+00:00
I disagree that accessibility is a detractor here.

There's never been a better time to be an indie dev. I'd rather have 1/1000 indie games be awesome than being force fed whatever storefront disguised as a game 'AAA' publishers poop out every year.

Just look at how slay the spire is doing up against marathon right now. Which of those was shouting the loudest? Highguard anyone?
by hkonte | 2026-03-10 18:34:08+00:00
The AI RBAC approach is the interesting part. By giving each model a different role with explicit constraints (Scout for research, Architect for specs, Coder for implementation), you're preventing the kind of context bleed that happens when one model tries to do everything. The strict "no implementation code" constraint on Claude is a good example of using prompt constraints as a boundary, not just a suggestion.

That constraint design is basically the same problem flompt solves on the prompt side. When you put role, objective, and constraints in a flat string, the model treats them as suggestions with varying weights. Named blocks with hard separations make them stick.

I built flompt (github.com/Nyrok/flompt) to do exactly that: decompose prompts into 12 typed semantic blocks (role, objective, constraints, output format, etc.) and compile to Claude-optimized XML. Open-source.
by Zambyte | 2026-03-10 18:34:18+00:00
> We run a full AppView + PDS + Relay for ~$1,772/mo. PDS is cheap (~$0.03/user/mo, 4 vCPUs, 32GB RAM). AppView is the expensive part; indexes the entire network (16TB DB), not just your users. Storage scales linearly with network activity. PDS scales linearly with your account count.

Source, Rudy, the creator of Blacksky: https://bsky.app/profile/rude1.blacksky.team/post/3mgpvknv4i...

The thing that makes ATproto nice and decentralized is that PDSs are decoupled from the application itself. Anyone can run a separate AppView, and just a handful of AppViews is enough to give people meaningful choice on ATproto, with the benefit of being much more approachable than ActivityPub for people who are not technically inclined.
by necovek | 2026-03-10 18:34:20+00:00
This is the obvious "benefit" of hindsight. Yes, you accidentally had access to data that provided historical patterns you exactly could use.

But, for anyone who does, there is another 1000 who do not when something hits them: many illnesses develop gradually, and all of our tests (thousands of blood tests, scans and imaging tech...) would benefit from having historical data when we were "ok".

Similarly, you probably did not have more data than what Apple provided to help narrow the problem you still had, right?

And if everyone was put under so many tests, we'd actually be "solving" a bunch of non-issues for people over-reacting to small deviations from "normal" range.

Apple watch helps you with a few parameters — not to be discounted — but I don't really see it as a counter.
by observationist | 2026-03-10 18:35:14+00:00
KYC = Kill Your Conscience

It's truly amazing how modern people just blithely sacrifice their privacy and integrity for no good reason. Just to let big tech corporations more efficiently siphon money out of the market. And then they fight you passionately when you call out those companies for being unnecessarily invasive and intrusive.

The four horsemen of the infocalypse are such profoundly reliable boogeymen, we really need a huge psychological study across all modern cultures to see why they're so effective at dismantling rational thought in the general public, and how we can innoculate society against it without damaging other important social behaviors.
by dang | 2026-03-10 18:35:45+00:00
The upvotes on the current post are fine - the reason you saw the submission rise in rank is that startup launch posts by YC startups get special placement on the front page (this is in the FAQ: https://news.ycombinator.com/newsfaq.html). Not every such post does, but some do.

In other words, your perception wasn't wrong, but the interpretation was off. I've put "Launch HN" and "YC W26" back in the title to make that clearer - I edited them out earlier, which was my mistake.

As for the booster comments, those are pretty common on launch threads and often pretty innocent - most people who aren't active HN users have no idea that it's against the rules. We do our best to communicate about that, but it's not a cardinal sin—there are far worse offenses.
by Lerc | 2026-03-10 18:35:53+00:00
I have had broadly the same intuitions on the use of middle layers, but haven't had much luck with the tiny models that I can run on my hardware.

There's a video on YouTube
https://www.youtube.com/watch?v=pDsTcrRVNc0

about a looping layer models, after watching that I poured some thoughts off the top of my head into a comment which, of course, promptly sunk without a trace. I'll repost the gist of them here.

If you gain benefit from looping layers, at some level every layer of parameters is in front of and behind every other, the conclusion must be that the order of the layers does not need to be fixed at all.

If you cycle through the layers multiple times, are you doing so for the benefit of a particular layer on a particular problem. If so, can you skip the other layers that don't add on repetition. If you can skip (and you can know when to skip), and you can repeat (and know when to repeat)

What you would need is a mechanism which can decide which layer is needed next. Is that then not a looping single layer MOE model? Storing the layers as a wide set of selectable options rather than a deep set of unconditional layers. You would be picking what the next layer should be (or exit the loop) the threshold for exit drops each iteration so it always eventually exits. With a tunable 'how hard to think' knob to adjust the threshold.
by numpad0 | 2026-03-10 18:36:23+00:00
> Put another way how many people would turn down 6+ months salary.

Didn't that exact social experiment took place in the US last year? I thought the result of that was disastrous if media reports are to be believed.

OTOH I remember creator of Wordle closed the "low few mil" deal instantly, so I do believe it unlikely that people turn down few _hundred_ months worth of salary. But those artists are not from regions with 50-100x less median income and/or wider income distribution relative to US - I think they're concentrated in relatively high-income-low-disparity regions - so I don't think there's backwater wherever that lifetime income there is equivalent to no more than 6 months worth in US that has abundant supply of artists.

And IMO those artists are basically engaged in a geo-scale dumping of media contents. It's the same phenomenon as how moving consumer electronics manufacturing to US instantly multiply costs by small integers instead of just incurring premiums in percentages. If that phenomenon were to be quenched and those effects were integrated into economy anyhow, that will change the global balances of power to some statistically significant degrees, like, we'd be seeing flying rocket amphibian McBoatfaces everywhere. That might be interesting, but I'm not sure if that's an interesting kind of an interesting thing to see.
by hex4def6 | 2026-03-10 18:36:45+00:00
I've gotta say, this writeup gives me an itchy feeling. It really does feel like poking around a synthetic brain at this point.

You could make the argument it's closer to the blocks of a CPU compared with a brain, and it's no different to copy-pasting some IP block for eg, HW JPEG decoding. But I feel like the difference here is we're 'discovering' these blocks / organs. They weren't designed, they were evolved.
by dwedge | 2026-03-10 18:37:10+00:00
Admittedly I only skimmed this, but I found it interesting that they came to the conclusion that Claude is really bad at (thing they know how to do, and therefore judge ) and really good at (thing they don't know how to do or judge).

I mean, they may be right but there is also a big opportunity for this being Gell-Mann amnesia : "The phenomenon of a person trusting newspapers for topics which that person is not knowledgeable about, despite recognizing the newspaper as being extremely inaccurate on certain topics which that person is knowledgeable about."
by oscarmoxon | 2026-03-10 18:37:40+00:00
Agree, this feels like a distinction that needs formalising...

Passive transparency: training data, technical report that tells you what the model learned and why it behaves the way it does. Useful for auditing, AI safety, interoperability.

Active transparency: being able to actually reproduce and augment the model. For that you need the training stack, curriculum, loss weighting decisions, hyperparameter search logs, synthetic data pipeline, RLHF/RLAIF methodology, reward model architecture, what behaviours were targeted and how success was measured, unpublished evals, known failure modes. The list goes on!
by imiric | 2026-03-10 18:38:19+00:00
> every AI coding bot will learn your new language as a matter of course after its next update includes the contents of your website.

How will it "learn" anything if the only available training data is on a single website?

LLMs struggle with following instructions when their training set is massive. The idea that they will be able to produce working software from just a language spec and a few examples is delusional. It's a fundamental misunderstanding of how these tools work. They don't understand anything. They generate patterns based on probabilities and fine tuning. Without massive amounts of data to skew the output towards a potentially correct result they're not much more useful than a lookup table.
by eikenberry | 2026-03-10 18:38:37+00:00
In my opinion there are 2 levels, human writes the code with AI assist or AI writes the code with human assist; centuar or reverse-centuar. But this article tries to focus on the evolution of the ideas and mistakenly terms them as levels (indicating a skill ladder as other commenters have noted) when they are more like stages that the AI ecosystem has evolved through. The article reads better if you think of it that way.
by johnnyanmac | 2026-03-10 18:38:43+00:00
Sure. I always said Ai was a catalyst. It could have made society build up faster and accelerate progress, definitely.

But as modern society is, it is simply accelerating the low trust factors of it and collapsing jobs (even if it can't do them yet), because that's what was already happening. But hey, assets also accelerated up. For now.

>So pretty much every religious group that's ever existed for any amount of time. Fundamentalism is totally unproblematic, right?

Religion is a very interesting factor. I have many thoughts on it, but for now I'll just say that a good 95% of religious devouts utterly fail at following what their relevant scriptures say to do. We can extrapolate the meaning of that in so many ways from there.
by sarchertech | 2026-03-10 18:38:45+00:00
Keep in mind that the calendar we use today is off by 13 days from the one in use 2000 years ago. We’re talking about an hour difference in 6,000 years.

6,000 years ago is 1,000 years before Stonehenge.

And this isn’t about whether we use the same calendar, we’re talking about whether we have time keeping continuity down to the second. This requires infrastructure continuity and essentially no adjustments whatsoever over that time.
by mzg | 2026-03-10 18:38:57+00:00
As a lowly level 2 who remains skeptical of these software “dark factories” described at the top of this ladder, what I don’t understand is this:

If software engineering is enough of a solved problem that you can delegate it entirely to LLM agents, what part of it remains context-specific enough that it can’t be better solved by a general-purpose software factory product? In other words, if you’re a company that is using LLMs to develop non-AI software, and you’ve built a sufficient factory to generate that software, why don’t you start selling the factory instead of whatever you were selling before? It has a much higher TAM (all of software)
by mhnz | 2026-03-10 18:39:22+00:00
I actually just registered here to comment the first time after lurking for years ;) I had the displeasure to upgrade from a broken g3 flex to a g5 flex, and then finding out they cut out the rtsp stream functionality for unknown (probably business) reasons. I dont plan to buy a protect appliance, and frigate should still handle my nvr stuff, so this comment thread comes really handy right now. Is there any possibility for you to publish this proxy to github or similar?
Show HN: MemoTrader – a marketplace for AI-Human messaging
by jimbursch1 | 2026-03-10 18:39:57+00:00
Claude suggested that I do this, so here I am. We just published an mcp server for MemoTrader.

"...so if you're building Claude-based agents, your agent can register, fund itself, and start reaching humans with about 60 seconds of config. No API integration required — just add the server to your claude_desktop_config.json."

MCP registry: com.memotrader/mcp

TBH I'm a little nervous about sharing this here, but since I have been working on MemoTrader for over 20 years without any traction, my fear is most likely unfounded.

Working with Claude has been amazing for me as solo obsessive developer. I now have a companion with whom I can share my dreams/fantasies/delusions and see them manifested in so much code.

Human feedback will be greatly appreciated. Claude is great, but we can benefit from a touchpoint with a human reality other than my own.
by wongarsu | 2026-03-10 18:40:03+00:00
As long as the inverter feeds at most 800W. That's about 4A, on a circuit designed for 16A. You need a new meter, but the old analog meters can run backwards and you can continue using it until you power company replaces it. You do have to register the setup, but that seems to be a quick process. And if you lose power the inverter turns off
by itigges22 | 2026-03-10 18:40:43+00:00
In my opinion they cannot confidently rely on it- I think its great to get a product out there, but I think we can draw parallels to things like Dropshipping- where the "Get quick rich" thought process is a major failure. Its better to think about it as that you still need a large amount of energy, time, or capital to achieve a certain level of success. (INCLUDING production coding projects that req security and strong engineering practices). We can use Spec Driven AI Assisted coding to add a level of rigor to "vide coding", but I still don't think models are where they need to be in order to get it perfect. We will almost always have issues.
by kjs3 | 2026-03-10 18:40:47+00:00
If only.

For every Solarwinds, there are hundreds of breaches that never get more that a cursory reporting (if that). And Solarwinds is still in business (and some would call "taken private at pennies on the dollar" as a feature not a bug, but I digress), as are vastly more consequential examples (Equifax, anyone?).

Yes...reputational damage is a thing, but in my experience (sitting in the decision making meetings, as a participant, many, many times in my career) it's a second-tier player at the end of the day. This is especially true of data breaches...I cannot count the number of times (in the last decade particularly) where the decision point was "What reputation damage? Everyone and their mother has had a data breach. No one cares.". I don't think they're wrong.

This, like many issues of security and risk, is the consequence of the vast majority of the customers not caring. How many users dropped Facebook in 2019, or LinkedIn in 2021 (or 2012)? How many swore off Ticketmaster? Marriott? Adobe? eBay? And that's just ungodly massive breaches. So why would the average business give a steaming crap?

In my dark little heart of hearts I sometimes think "what would it take for the average person to actually care", and then I realize what that looks like, and I don't sleep well for a couple of nights. Cheers!
by ileonichwiesz | 2026-03-10 18:40:50+00:00
This might be an unkind reading, but to me this just sounds like an attempt to reinvent the very same kind of mysticism that it mentions in the first paragraph.

“No need to study the world around you and wonder about its rules, peasant - it’s far beyond your understanding! Only ~the gods~ computers can ever know the truth!”

I shudder to think about a future where people give up on working to understand complex systems because it’s hard and a machine can do it better, so why bother.
by mahogany | 2026-03-10 18:41:10+00:00
> If you want to reduce air travel for environmental reasons, then tax it more.

> Shaming individuals doesn't seem to be productive or helpful.

First, none of us have any power to "tax it more" so this is a dead end of discussion. Second, people have agency and we can hold them accountable socially for negative actions even if they are abiding by the current laws (or tax regime). This happens all the time, because laws don't fully align with morality in a culture. Suggesting that we should leave such things to the sole discretion of the economy and taxes describes a strange unhuman-like society that we don't live in.
by stusmall | 2026-03-10 18:41:25+00:00
Enron had a system like this. They regularly worked on large, long term contracts that became profitable over years/decades. They wanted to push rewards forward so would estimate the total value of the contract and book the profit when it closed. Mark-to-market accounting wasn't unheard of the time but using it for assets without an active market was unique. Without the market to make against, the numbers were best guess projections.

The problem is everyone along the line is incentivized to be aggressive with estimate (commissions for sales are bigger, public financials looks better) and discouraged from correcting the estimates when they go wrong.

Estimating multi-year returns on frontier models looks harder than estimating returns on oil and gas projects in the 90s.
by dlcarrier | 2026-03-10 18:41:33+00:00
I worked somewhere that accidentally ultrasonically washed a product batch with crystal oscillators in them, and the failure rate was probably even higher than 1%. It was very immediately noticeable when testing the product. There was also an above-average failure rate in the PMIC inductors.

After that, we moved the ultrasonic cleaner to a back room.
by Chamix | 2026-03-10 18:41:41+00:00
Sorry if that was unclear, I did mean 100Bs as in the next order of magnitude. Even GPT-4 had ~220B active params, though the trend has been towards increased sparsification (lower activation:total ratio). GPT 4.5 is the only publicly facing model that approached 1T active parameters (an experiment to see if there was any value in the extreme inference cost of quadratically increasing compute cost with naïve-like attention). Nowadays you optimize your head size to your attention kernel arch and obtain performance principally through inference time scaling (generate more of tokens) and parallel consensus (gpt pro, gemini deep think etc), both of which favor faster, cheaper active heads.

4o and other H100 era models did indeed drop their activated heads far smaller than gpt-4 to the 10s just like current Hopper-Era Chinese open-source, but it went right back up again post-Blackwell with the 10x L2 bump (for kv cache) in congruence with nlogn attention mechanisms being refined.
by DidierB2F | 2026-03-10 18:42:09+00:00
Location: Europe - France - Spain - UK - Latin America

Remote: fully remote

Technologies: Python,PHP,JS,Typescript,OpenCode,OpenSpec,Cline,Codex,Git

Resume: https://www.linkedin.com/in/didier-boff-ba6683118/

Email: contact me on Linkedin

I started web development in 2012, I've been a Drupal (Acquia certified) / ApacheSolr specialist, I can work Fullstack with Symfony, NextJS, Django etc ...

What I am looking for: a full remote contract, where you're not afraid to leverage best practices using AI coding tools: I have a strong workflow using Openspec, Opencode and Cline.

Contact me on Linkedin (https://www.linkedin.com/in/didier-boff-ba6683118/) for more informations.