MurphyA/hacker-news huggingface dataset:
by waihtis | 2026-02-19 06:31:30+00:00
Peak EU mindset thinking all we need is a nifty little map application to find alternatives.

Meanwhile, tech companies are continuing to bail into the US the moment they reach significant revenue due to crushing tax and labour costs (see e.g. Oura announcing their departure from Finland yesterday)

Unfortunately the EU and many local governments have chosen to double down on crippling socialism (presumedly to "own Trump") so this continue at an accelerating pace.
by rcbdev | 2026-02-19 06:31:48+00:00
What a corrupt mess.

They ease the debt restrictions on EU military spending, then turn around and instead of trying to nurture sovereign solutions, they throw this loaned money back at the U.S.-Americans.

This is exactly the same playbook the Germans pulled when the U.S.-Americans were suspected of aiding in the destruction of Nordstream 2, and then paying for expensive LNG infrastructure to make the continent's industry an American slave.
Sayou – Open-source Dropbox for AI agents
by syumpx | 2026-02-19 06:31:51+00:00
success of openclaw is incredible, and I really loved playing with it, but of course the problem is the security risk running on my desktop. okay for personal use for fun, not at all for professional use.

Once agents run in the cloud (and they will — you're not giving your marketing manager a terminal), they need somewhere to read and write. Right now there's nothing. Your company's knowledge is locked in Notion, Slack, Google Drive, and the agent can see none of it unless someone copy-pastes it into the chat window every single time.

sayou is basically Dropbox for agents. It syncs your SaaS tools into a single workspace of versioned Markdown files, and any agent connects to it over MCP. Multiple agents share the same workspace. one does research and writes findings, another picks them up to draft a report, a third sends it over email. The human just makes decisions.

Why files and not a database? Honestly we tried a database first. It sucked. Agents don't think in rows. When you ask an agent to research competitor pricing, the natural output is a document with sections and citations, not 15 entries in a table. Markdown with YAML frontmatter turned out to be the sweet spot — you get structured metadata for querying and rich content that both agents and humans can actually read.

I also built a benchmark, Structured Agent Memory Benchmark(SAMB) to test how different memory systems like mem0 and zep compare to sayou in a real world scenario of agents running tasks. If you are writing code, stuff like "why did we choose bcrypt over Argon2?" and "what changed between the first and second architecture review?" — the kind of things you'd actually need an agent to recall.

Results against Mem0 and Zep:

sayou 67.0% (files + FTS5)
Mem0 18.5% (embeddings)
Zep 14.2% (knowledge graph)

3.6x. The biggest gap was on decision reasoning — 68% vs 8%. Turns out embedding similarity is great for vibes-based retrieval but terrible when you need a specific paragraph from a specific document. Files with full-text search let agents grep, read sections, and follow references. Simple and it works.

Honestly it is my first time building a benchmark so i would love other engineers to try sayou as their agent memory system, but also try to compare sayou fairly for agent task completions.
If you're building agents that need to persist and share knowledge, please take a look at sayou's opensource project at https://github.com/pixell-global/sayou
by foxglacier | 2026-02-19 06:32:05+00:00
I see your point. You need to recalibrate how to decide what to read since the proxy has changed its meaning. I found a similar issue when monetized Youtubers started making things. It used to be amazing to see some hobby project that was a little bit sophisticated but now big stars have lots of money and their full-time job is doing incredible projects just to make videos of them. It's not AI but it's something that didn't used to exist. I'm thinking channels like "Stuff Made Here" and "I Did A Thing" that sound humble but doing difficult, expensive projects that have no purpose except to look good on a video.
Show HN: Paste your startup pitch, get a VC-readiness score (0–100)
by akshay_bhardwaj | 2026-02-19 06:32:06+00:00
Hi HN,

I’m a technical founder who also does early-stage investing. I read a lot of cold pitches and a big chunk fail on basic clarity (“what are you building?”) or “why now?”.

So I built a small tool that behaves like a cynical automated IC screen. Paste your elevator pitch, and it returns a VC-readiness score (0–100) and a blunt one-line verdict.

https://gias.co/score

Under the hood it’s an LLM-as-judge setup with two rubric modes: Genesis (pre-seed: insight/wedge/team) and Velocity (seed: traction/distribution/moat). Output is forced into a strict JSON schema and validated server-side.

It’s free for score + verdict. For transparency: there’s an optional paid upgrade ($49) that generates a longer “Confidential IC Memo” (bear case, bull case, partner rewrite) emailed to you, mainly to cover API costs and because it acts as a high-intent filter.

If you can break it (prompt injection / weird formatting/edge cases), I’d genuinely love to see it. I’m still tuning calibration, so feedback on where it’s unfairly brutal or misses nuance is super helpful.
by bitwize | 2026-02-19 06:32:34+00:00
"Solomon is hiding because he is a coward who enjoys belittling other people from behind a safe veil of invisibility. His is like many sites on the internet, who mock and insult while lacking any courage to own their own words. In public, these cowards would not dare to say the same things, because they know full well that someone just might come after them, knock their yapping blocks off, or in a worst case scenario, go to their house one night and kill them." —Jennifer Diane Reitz, author of Unicorn Jelly, on a pseudonymous critic of her comics
by jmholla | 2026-02-19 06:33:01+00:00
> Why? ACME accounts have credentials so that the ACME client can authenticate against the certificate issuer, and ACME providers require the placement of a DNS record or a .well-known HTTP endpoint to verify that the account is authorized to act upon the demands of whoever owns the domain.

This is the previous models. In this case, DNS-Persist-01, the record is permanent and never changes. So to prove that your request is valid, they need to authenticate in some other manner. Otherwise, once you create that persistent record, anybody could request a cert for your domain.

Edit: Spivak explains the flow differences better in their comment: https://news.ycombinator.com/item?id=47065821
by g-mork | 2026-02-19 06:33:05+00:00
Imagine having a finite pool of GPUs worth more than their weight in gold, and an infinite pool of users obsessed with running as many queries against those GPUs in parallel as possible, mostly to review and generate copious amounts of spam content primarily for the purposes of feeling modern, and all in return for which they offer you $20 per month. If you let them, you must incur as much credit liability as OpenAI. If you don't, you get destroyed online.

It almost makes me feel sorry for Dario despite fundamentally disliking him as a person.
by harrall | 2026-02-19 06:33:45+00:00
OpenAI only released ChatGPT 4 years ago but…

Google has made custom AI chips for 11 years — since 2015 — and inference costs them 2-5x less than it does for every other competitor.

The landmark paper that invented the techniques behind ChatGPT, Claude and modern AI was also published by Google scientists 9 years ago.

That’s probably how they can afford it.
by bikeshaving | 2026-02-19 06:34:24+00:00
Can anyone who works with the Unicode consortium explain why Cistercian numerals aren’t just part of Unicode? There’s Aegean numbers, counting rod numerals, Mayan numerals, Roman numerals (beyond the Latin letter aliases), cuneiform numbers, and plenty of other historical numeral-only systems.

The 4-stave system is interesting but can almost certainly be done using ZWJ hacks maybe.
by gexla | 2026-02-19 06:34:28+00:00
That should be fine, because it's still using their tooling. And this seems like the better way to go. I have a couple of tools that work like this. I think the issue is mostly 3rd party harnesses that seek to do the same as Claude Code. And it seems reasonable that Anthropic decides how you can use the subscription, because it's heavily subsidized. Get a Claude $200 sub and max out the usage limits, then compare that usage to the cost of using their API. The difference is significant, which is why people are getting multiple $200 subs rather than paying for API usage (and I have seen reports where they are cracking down on this as well.)
by anonymous908213 | 2026-02-19 06:34:40+00:00
Why does Europe need to dump hundreds of billions of dollars into developing a chatbot that will never be able to pay off its debts? Mistral seems like a much more practical and sustainable approach to LLM development than centering the entire economy around a pyramid scheme predicated on selling the belief that AGI is always three months away.

China's LLM development relative to resources spent is impressive, but it also happened to be predicated on Chinese miners buying into the previous pyramid scheme and having a lot of GPUs on hand already. I don't think the lack of European commitment to the previous pyramid scheme putting it a bit behind in that regard indicates any kind of grand regional failure, so much as an event of pure circumstance that probably has little lasting meaning 5 or 10 years from now.
by orbisvicis | 2026-02-19 06:34:58+00:00
What a lovely website, and the torso silhouette sizing diagrams are invaluable.

I'm not the target demographic, but the main problems I have are proportions not simply waistsize. I was under the impression a size range [xs,s,m,l,xl] was supposed to adjust girth (bust, waist, hip, thigh) while leaving the vertical measurements unchanged (inseam, rise). Because nothing fits, I purchase a sizing range with the intention to keep just one and return the rest. It makes for pretty funny discussions: $500 on <clothing> WTF! Anyway I've started measuring clothing dimensions and have found that the brands I shop generally tend to adjust other dimensions in a 2:1 girth:height ratio. This means that if I want a snug waistline I'll have a tight crotch or be forced to wear pants on or below the hip. Now I like wearing pants somewhere between waist and hip. There's a band of fat/padding/sinew (?) just above the hips that makes for the sweet spot in terms of comfort and utility. I don't understand clothing that's meant to sit on the hips... so uncomfortable.

As a rule of thumb I tend to shop Asian clothing stores in the US because they tend to better fit my proportions, but lately it's become hit-or-miss, i.e uniqlo. I've also got some pretty weird proportions due to my exercise regimen.

Also you've got to love brands that don't provide actual sizes. Wtf!

Size ranges are almost always infuriating. I sample my measurements throughout the day to get an accurate range and average. This is invariably what occurs:

store sizes: x1-x2, x3-x4, x5-x6

me: x2-x3

Infuriating! Ranges suck!

Then there's this little unexplained morsel:

> The average woman’s waistline today is nearly 4 inches wider than it was in the mid-1990s.

Their data is drawn from the US, so I'm wondering if this is related to the obesity epidemic, or a general change in silhouette. I was under the impression that historically, humans are trending taller and skinnier.
by agentifysh | 2026-02-19 06:35:07+00:00
I wrote a mcp bridge so that I don't have to copy and paste prompt back and forth between CLI and claude, chatgpt, grok, gemini

https://github.com/agentify-sh/desktop

Does this mean I have to remove claude now and go back to copy & pasting prompts for a subscription I am paying for ?!

wth happened to fair use ?
by pcblues | 2026-02-19 06:35:18+00:00
I'm still using a 2010 Macbook Pro with a 1TB SSD for Logic Pro and Mainstage. Does it struggle? Yes. Does it work? Yes. It's still amazing technology that makes my keyboards and guitars sound bananas. To be fair, I just muck around with it, but it still has more than what I'll ever need or be able to discover.
by CodeBit26 | 2026-02-19 06:35:26+00:00
You both hit on the core paradox of 2026. _wire_33 is right about the irony of high-end AI relying on a 'scripting' syntax, but as r-johnv noted, the performance gap has effectively closed.
In my view, the shift is no longer about the language itself—it's about the Orchestration Layer. Whether it's Python or an AI-Native IDE like Cursor, the 'intelligence' of the tool is becoming more critical than the syntax. We are moving from being 'Authors' to 'Architects'. What do you think—will the IDE eventually make the language choice irrelevant?
by Notelife87 | 2026-02-19 06:35:48+00:00
I came across this Kimi challenge for $0.99 and was curious if it was actually difficult. I was just free-speaking, telling the truth about where I'm at. The discount went up to $8.99, then steadily came back down. Near the end, it asked me to make it personal—and with one more message, it dropped to $0.99 and never went back up.

No, it's not broken. No, I didn't look up how to do it. I just told the truth.

That experience stuck with me because it's exactly what I'm building: honesty and reliability as the foundation. If being authentic gets an AI to trust you, imagine what happens when we build that into the models themselves.

Seven months ago, I didn't know what ls -la meant. Today, I have a provisional patent (USPTO #63/874,239), two PyPI packages, and a live web app with a quant tool and chat assistant. Technically, I've got inference ready to sell.

The core idea: treat a model like a node that can fail—Byzantine consensus engines applied to AI. A model becomes part of something larger than itself, producing CHV output in place of HHH. The result? Effectively zero hallucination output. 99.98% reliability from generative AI. Built from first principles.

This isn't just theory. It's packaged: X2

pip install dabft
I'm going to keep the lid on the general/chat engine under wraps for a little longer it's got a lot of the secret sauce.

And there's a live (slightly buggy) web app to poke at with quant tools and a chat assistant:
www.noteworthyendeavors.com

Backtested results:

· 17‑point accuracy improvement in alpha floor lift signal generation. <Data And live audit available>
· 40% drawdown reduction
· 22% Sharpe ratio boost

Prior art surfaced 1.5 months after I filed. The patent covers BFT for internet search engines, MCP protocols for finance data, and more. Multiple continuations possible. And no—this isn't a "go out and stick a model in there" situation. I honestly don't even fully know what that means, but I'm pretty sure that's not what this is.

I'm at the stage where I need help—mostly web support, but also forward-thinking co-conspirators to help get this converted and approved. Open to forming an LLC with the right 1–2 people.

Industries like finance do not want this open sourced. These numbers only retain value if not everyone has them. I also want to make sure the right industries aren't exploited for lack of access.

If this sounds interesting:

owner.founder@noteworthyendeavors.com
noteworthyendeavors87@gmail.com (alt)

Anyone want to see what's up? Help me change the world?
by jcranmer | 2026-02-19 06:36:08+00:00
Wikipedia links to this guide to the APP, published in December 2006 (much closer to when the rule itself came out): https://web.archive.org/web/20191007132037/https://www.bis.d.... At the end of the guide is a list of examples.

Only two of these examples meet the definition of vector processor, and these are very clearly classical vector processor computers, the Cray X1E and the NEC SX-8 (as in, if you're preparing a guide on historical development of vector processing, you're going to be explicitly including these systems or their ancestors as canonical examples of what you mean by a vector super computer!). And the definition is pretty clearly tailored to make sure that SIMD units in existing CPUs wouldn't qualify for the definition of vector processor.

The interesting case to point out is the last example, a "Hypothetical coprocessor-based Server" which hypothetically describes something that is actually extremely similar to the result of GPGPU-based HPC systems: "The
host microprocessor is a quad-core (4 processors) chip, and the coprocessor is a specialized chip with 64 floating-point engines operating in parallel, attached to the host microprocessor through a specialized expansion bus (HyperTransport or CSI-like)." This hypothetical system is not a "vector processor," it goes on to explain.

From what I can find, it seems that neither NVidia nor the US government considers the GPUs to count as vector processors and thus give it the 0.3 rather than the 0.9 weight.
by isodev | 2026-02-19 06:36:11+00:00
That assumes LLMs are relevant and will be around a year from now. Let’s not forget NFTs.

Your comment is also blind to the absurd amount of research and projects which are born here but later move to look for funding.

So the EU is not irrelevant, on the contrary, we’re just mourning the fall of the US and transitioning to an independent future. Who would’ve though, we’d end up needing to build a copy of everything…
by MindSpunk | 2026-02-19 06:37:59+00:00
I remember Star Wars Jedi Survivor had a 5-6 minute shader pre-compile on my 5950X. I heard of people well into the 30 minute mark on lower core count machines. Battlefield 6 was a few minutes on my 9950X, higher again on lower core count CPUs.

Really depends on the game.

There's no easy way around this problem. It never came up as much in the OpenGL/D3D11 era because we didn't make as many shaders back then. Shader graphs and letting artists author shaders really opened pandoras box on this problem, but OpenGL was already on its way out by the time these techniques were proliferating so Vulkan gets lumped in as the cause.
by gbear605 | 2026-02-19 06:38:21+00:00
The bundle only works if it’s +EV for them. A lot of analyses (though not all - it’s complicated) say that the $200/mo bundle (and certainly the $20/mo bundle) costs more than that for most users, and the bundle is currently a loss leader. If so, then eventually prices will need to go up, and API per usage pricing will seem much more attractive.
by mrtksn | 2026-02-19 06:38:31+00:00
I feel like this parroted statement of EU regulations is too boring now. It's total BS, EU is top producer of real things like machinery, food, chemicals etc and has very high employment rate. Obviously you can do business in EU.

Why do you repeat these words, which regulations are preventing Europeans writing code or running GPUs? They can build industrial robots, cars, high voltage electronics but can't run computers? It doesn't makes sense.

Do you understand that EU is net exporter, doesn't have deficit? That means EU produced more than it consumes.

You can argue that having its markets open to USA stopped it from developing local "tech" businesses but I don't see how this is a EU regulation thing.
by hackit2 | 2026-02-19 06:39:18+00:00
I've all-ways asked the managers can you kindly disclose all confidential business information. In which they obviously respond with condescending remarks. Then I respond with, then how am I going to give you a answer without all the knowledge of how the business runs and operates? You can go away and figure out what is going to make work for the business then you can delegate what you want me to do, it is the reason why you pay me money.
by tpm | 2026-02-19 06:39:29+00:00
> If you shop online and use raw measurements, then it will both fit and be available.

I'm a man often shopping for bike wear in Europe. I'm neither overweight or obese. The article is right that sizing is a complete mess: with my 180cm and 74kg I'm usually mass market size M in tops and L in pants because I just have a big ass (again I'm not fat, I still have a big ass when I'm 70kg during the height of the summer season). But it's often an S in tops. Anyway, in the bike brands sizing, the tops are mostly M to L.

The bike pants? I have already sent back XXL's because I just couldn't put them on. But for some brands, I'm still L, for others it's XL. The measurements don't mean anything, they are completely off quite often. The only half-usable help is customer reviews where people note their measurements and the size that fit them. Also the sizing is not only inconsistent between brands, but also for different items of the same brand.
by akshay_bhardwaj | 2026-02-19 06:39:47+00:00
Comment for extra context: I’m not trying to “predict funding,” just give a fast clarity/why-now sanity check. The output is forced into strict JSON + validated server-side (so it won’t return long rambling text). If you want to help calibrate it, the most useful feedback is: (1) your pitch (or a redacted version), (2) the score it gave, and (3) what you think it should be and why. Also, if you hit latency/errors, tell me your track and approximate pitch length so I can tune the speed and limits.
by dudeinhawaii | 2026-02-19 06:41:17+00:00
I just ran some numbers and it works out if you're a prolific user.

Over 9 days I would have spent roughly $63 dollars on Codex with 11.5M input tokens plus 141M cached input tokens and 1.3M output tokens.

That roughly mirrors the $100-200/wk in API spending that drove me to the subscription.

| Category | Tokens | Rate (/1M) | Estimated Cost |
|---|---:|---:|---:|
| Input (uncached) | 11,568,331 | $1.75 | $20.24 |
| Cached input | 141,566,720 | $0.175 | $24.77 |
| Output | 1,301,078 | $14.00 | $18.22 |
| Total | 154,436,129 | — | $63.23 |

BUT... like a typical gym user. This is a 30/d window and I only used it for 9 days, $63 worth. OpenAI kept the other $137.

It makes sense though for heavy use.
Show HN: Potatometer – Check how visible your website is to AI search (GEO)
by apswin | 2026-02-19 06:41:34+00:00
Most SEO tools only check for Google. But a growing chunk of search is now happening inside ChatGPT, Perplexity, and other AI engines, and the signals they use to surface content are different.
Potatometer runs multiple checks across both traditional SEO and GEO (Generative Engine Optimization) factors and gives you a score with specific recommendations. Free, no login needed.
Curious if others have been thinking about this problem and what signals you think matter most for AI visibility.
by redrove | 2026-02-19 06:42:24+00:00
No, you CANNOT found a company like that. It’s an absolute fabrication.

You also seem to somehow justify spending 25k on an endeavor you don’t know will succeed upfront, when every other country on the planet allows you to open one with orders of magnitude smaller amounts of capital.

You can open a UK LTD in a few days with 12GBP. Similar in DK/NL/CZ… the list goes on.

I’ve learned firsthand that germans will bend over backwards to justify this insanity.