MurphyA/hacker-news huggingface dataset:
by EcommerceFlow | 2025-08-13 14:21:11+00:00
OpenAi has 700+ million users. Sam recently said only 7% of Plus users were using thinking (o3)!!! That means 93% of their users were using nothing but 4o!

Clearly the OpenAi leadership saw these stats and understood the main initial goal of GPT5 is to introduce this auto-router, and not go all in on intelligence for the 3-7% who care to use it.

This is a genius move IMO, and will get tons of users to flood to ChatGPT over competitors. Grok, Gemini, etc are now fighting over scraps of the top 1% while OpenAi is going after the blue ocean of users.
by lucb1e | 2025-08-13 14:21:13+00:00
It's kinda good they use such old systems, as the vast majority of pollution occurs during manufacturing of devices since we usually use them only a handful of years. Iirc the break-even point was somewhere around 25 years, as in, upgrading for energy efficiency then becomes worth it (source: https://wimvanderbauwhede.codeberg.page/articles/frugal-comp...). 15 goes a long way towards that!

On the other hand, I didn't dig very deep into the ticket history now but it sounds like this could have been expected: it broke once already 4 years ago (2021), so maybe planning an upgrade for when this happens again would be good foresight. Then again, volunteers... It's not like I picked up the work as an f-droid user either
by typical182 | 2025-08-13 14:21:54+00:00
The arena experiment was essentially placed on indefinite hold:

> The proposal to add arenas to the standard library is on indefinite hold due to concerns about API pollution.

I think the parent comment was using arenas as an example that GOEXPERIMENTs don't always move forward (like arenas), or can change while still GOEXPERIMENTs in a way that would normally not be allowed due to backward compatibility (like synctest).

The arena GOEXPERIMENT has not yet been dropped as of Go 1.25, but as I understand it, the plan is to remove arenas from the runtime when 'regions' are introduced, which have similar performance benefits but a much lower API impact:

https://github.com/golang/go/discussions/70257

As discussed there, seeing how people actually used the arena GOEXPERIMENT influenced the 'regions' design.
by rossdavidh | 2025-08-13 14:21:56+00:00
What happens is they go out of business: "these firms spent five hundred and sixty billion dollars on A.I.-related capital expenditures in the past eighteen months, while their A.I. revenues were only about thirty-five billion."

DeepSeek (and the like) will prevent the kind of price increases necessary for them to pay back hundreds of billions of dollars already spent, much less pay for more. If they don't find a way to make LLMs do significantly more than they do thus far, and a market willing to pay hundreds of billions of dollars for them to do it, and some kind of "moat" to prevent DeepSeek and the like from undercutting them, they will collapse under the weight of their own expenses.
by mrtksn | 2025-08-13 14:22:08+00:00
It appears that the kosher way of doing this by US standards is to partner with a for-profit company(ehm Palantir, Meta, Google etc.) to do it for you or you become a surveillance state.

Not saying to bash on US, it's just a curiosity of mine. In a similar way USA&UK diverge from most EU by not issuing national ID cards and not having central resident registries but then having powerful surveillance organizations that do that anyway just illegally(Obama apologized when they were caught).

I don't say that Europeans are any better, just different approaches to achieve the same thing. The Euros just appear to be more open and more direct with it.

The tech is there, the desire to have knowledge on what is going on is there and the desire to act on these to do good/bad is there and always has been like that. Now that it's much easier and feasible, my European instinct say that let's have this thing but have it openly and governed by clear rules.

The American instincts appear to say that let's not have it but have it with extra steps within a business model where it can be commercialized and the government can then can have it clandestinely to do the dirty work.

IMHO it is also the reason why extremist governments in US can do decade worth of work of shady things in few months and get away with it when in Europe that stuff actually takes decades and consumes the whole career of a politician to change a country in any way.

Also, the Brits are usually in between of those two extremes.
by amelius | 2025-08-13 14:22:08+00:00
I think you cannot really change the personality of an LLM by prompting. If you take the statistical parrot view, then your prompt isn't going to win against the huge numbers of inputs the model was trained with in a different personality. The model's personality is in its DNA so to speak. It has such an urge to parrot what it knows that a single prompt isn't going to change it. But maybe I'm psittacomorphizing a bit too much now.
by quietbritishjim | 2025-08-13 14:22:54+00:00
When writing code, it's useful to follow simpler rules than strictly needed to make it easier to read for other coders (including you in the future). For example, you might add some unnecessary brackets to expressions to avoid remembering all the operator precedence rules.

The article is right that sometimes you can can use simple equality on floating point values. But if you have a (almost) blanket rule to use fuzzy comparison, or (even better) just avoid any sort if equality-like comparison altogether, then your code might be simpler to understand and you might be less likely to make a mistake about when you really can safely do that.

It's still sensible to understand that it's possible though. Just that you should try to avoid writing tricky code that depends on it.
by AshamedCaptain | 2025-08-13 14:22:59+00:00
> Non-determinism occurs in programs running on intel with floats when threads are interrupted and the math coprocessor flushed

That's ridiculous. No OS in his right mind would flush FPU regs to 64 bits only, because that would break many things, most obviously "real" 80 bit FP which is still a thing and the only reason x87 instructions still work. It would even break plain equality comparisons making all FP useless.

For 64 bit FP most compilers prefer SSE rather than x87 instructions these days.
by JustExAWS | 2025-08-13 14:23:12+00:00
And the customer base is still is going to voluntarily choose to go to Google search and YouTube like they always have. That’s where the money is. Windows still has the majority of the desk to market share and Google search is not the default. Yet people still choose to use Google.

As far as Chrome itself, every single desktop OS user except for those forced to use ChromeOS went out of their way to willingly download Chrome.
by OtherShrezzing | 2025-08-13 14:23:27+00:00
>We were unable to find evidence that the Only Connect games are in the training materials (which of course is likely to change now).

I just don't think this is a credible assumption. The BBC is one of the highest-trusted sources of millions of hours online audio/visual content, all of which is accompanied by human curated & edited closed captions. All of which is trivially easy to download. The base assumptions should be that the entire BBC iPlayer corpus is inside of all the frontier model training datasets.

The communities on Reddit (known to be included in all models) extensively discuss each show & question - usually creating google docs tracking the questions asked and answers given.

Finally, there's the OCDB[0], which lists every question and answer on the show.

While using real questions from the show, this benchmark should be assumed to be testing the model fact-recall ability, rather than its reasoning capabilities.

[1]https://ocdb.cc/
by lostmsu | 2025-08-13 14:23:52+00:00
You sound like you wouldn't feel existential terror if after typing "My interpretation: " into the text field you'd see the rest of your message suggested by Copilot exactly how you wrote it letter by letter. And the same in every other conversation. How about people interrupting you in "real" life interaction after an AI predicted your whole tirade for them and they read it faster than you said it, and also read an analysis of it?

Dystopian sci-fi for sure, but many people dismissing LLMs as not AGI do so because LLMs are just "token predictors".
by richardblythman | 2025-08-13 14:23:56+00:00
If coding agents are the new entry point to your library, how sure are you that they’re using it well?

I asked this question to about 50 library maintainers and dev tool builders, and the majority didn't really know.

Existing code generation benchmarks focus mainly on self-contained code snippets and compare models not agents. Almost none focus on library-specific generation.

So we built a simple app to test how well coding agents interact with libraries: • Takes your library’s docs • Automatically extracts usage examples • Tasks AI agents (like Claude Code) with generating those examples from scratch • Logs mistakes and analyzes performance

We’re testing libraries now, but it’s early days. If you're interested: Input your library, see what breaks, spot patterns, and share the results below.

We plan to expand to more coding agents, more library-specific tasks, and new metrics. Let us know what we should prioritize next.
by naasking | 2025-08-13 14:24:07+00:00
> As a human I don't think telling someone to be more empathetic means you intend for them to also guide people astray.

Focus is a pretty important feature of cognition with major implications for our performance, and we don't have infinite quantities of focus. Being empathetic means focusing on something other than who is right, or what is right. I think it makes sense that focus is zero-sum, so I think your intuition isn't quite correct.

I think we probably have plenty of focus to spare in many ordinary situations so we can probably spare a bit more to be more empathetic, but I don't think this cost is zero and that means we will have many situations where empathy means compromising on other desirable outcomes.
by lenerdenator | 2025-08-13 14:24:14+00:00
> The only incentive governments ever have to not do bad shit is that the people will hate it so much that the government will wind up with less power than they started with.

Well, that's the trick, isn't it? You have to give people a way to reduce government's power if the government does something the people don't like, but do it in a way that keeps society from flying apart.
by rollcat | 2025-08-13 14:24:14+00:00
There's a balance to be struck here.

Coming from HomeKit, I've tried (_really_ tried) to move to Home Assistant. The gap in usability was too enormous for me to cross, and I'd brand myself a hacker.

I won't trust any kind of a "smart" device to operate the front door lock - ever - but smart lightbulbs are still stupid lightbulbs. I can just flick the switch.

Privacy concerns are valid - I can be profiled based on usage. But it's not like Apple doesn't know my precise location already.

With all that in mind, I'd say usability comes first.
Show HN: Interactive 3D map of 3k YC companies by similarity (Three.js and D3)
by ernests | 2025-08-13 14:24:22+00:00
Try it: We mapped 2,970 Y Combinator companies in 3D by product similarity - 57% of YC's entire portfolio since 2005. Jump right in and explore: pan/zoom around, click for detailed profiles, explore clusters. No signup required, works best on desktop.

Why

Sometimes it's hard to grasp the bigger picture and see the forest for the trees. This map gives an overall representation of the whole space - companies, clusters, and outliers (companies that don't have obvious similar counterparts). For example, there are three companies supporting innovation labs. Also it's fun to see how LegalTech is very compact but very far away cluster.

What stood out

A surprisingly large Government & Public Sector Solutions cluster and Accounting for SMBs.

LegalTech forms a compact but isolated cluster. And three lone outliers — all research lab equipment companies.

How it works

Input: company URL → Our own crawler extracts product signals from public pages. Representation: ML embeddings (multidimensional similarity). Projection: UMAP algorithm reduces to 3D coordinates. Clustering: hybrid algorithm groups similar companies; clusters auto-labeled by AI. Anthropic has similar approach in their Clio paper, if someone is interested. UI: three.js scene + d3 interactions (search/filter/hover). Visualization inspired by Music Galaxy (https://galaxy.spotifytrack.net/)

Scope & coverage

Dataset: 2,970 companies from YC's 5,200+ portfolio (Summer 2005 to August 2025). Coverage includes active companies plus many acquired/defunct ones we could access. We respected robots.txt; some sites missing or had limited crawlable content. UMAP is non-deterministic; we use consistent seeds but local neighborhoods can shift. Similarity ≠ endorsement; not affiliated with YC!

Looking for feedback

This sits on top of our B2B company mapping engine and we are launching more products. Would letting you drop in any company URL to see where it lands be useful? API?

Roadmap

Projecting any company in this space for comparison; Regular refresh as companies pivot and grow; API to get consteallation for your own project.

Learnings Visualization started as a small project with 5 moving points in 3D space and escalated to a full solution based on three.js and d3. This wouldn't be possible without AI assistance powering data collection, embeddings, and clustering.

Happy to dig into the technical details if folks are curious.
by brookst | 2025-08-13 14:24:23+00:00
You’re giving them way too much agency. The don’t love anything and cant be malicious.

You may get better results by emphasizing what you want and why the result was unsatisfactory rather than just saying “don’t do X” (this principle holds for people as well).

Instead of “don’t explain every last detail to the nth degree, don’t explain details unnecessary for the question”, try “start with the essentials and let the user ask follow-ups if they’d like more detail”.
Show HN: An open-source,security first,local-first memory tool for AI assistants
by Jahboukie | 2025-08-13 14:24:24+00:00
I've been using AI coding assistants like Copilot and Claude a lot, but I constantly hit the limits of their context windows, forcing me to re-explain my code over and over. I also work on projects with sensitive IP, so sending code to a third-party service is a non-starter.

To solve this, I built AntiGoldfishMode: a CLI tool that gives your AI assistant a persistent, local-only memory of your codebase. There are enough cloud-based tools that solves some of the issues relating to AI persistent memory, but not a lot that combines all the features I have placed in AGM.

- Verifiable Zero-Egress - How to verify: Run agm prove-offline - Supply Chain Integrity for Shared Context: The .agmctx Bundle, Checksums First, Cryptographic Signature: An Ed25519 key pair (generated and stored locally in keys) is used to sign the SHA-256 hash of the concatenated checksums. This signature is stored in signature.bin. - Policy-Driven Operation - Transparent Auditing via Receipts and Journal. You should never have to wonder what the tool or your AI coding agent did. It is like a "Glass Box" where you see and verify every move your AI coding agent makes, every edit is recorded.

Receipts: Every significant command (export, import, index-code, etc.) generates a JSON receipt in receipts. This receipt contains a cryptographic hash of the inputs and outputs, timing data, and a summary of the operation. Journal: A journal.jsonl file provides a chronological, append-only log of every command executed and its corresponding receipt ID. This gives you a complete, verifiable audit trail of all actions performed by the tool. This combination of features is designed to provide a tool that is not only powerful but also transparent, verifiable, and secure enough for the most sensitive development environments.

It's built with a few core principles in mind:

Local-First & Air-Gapped: All data is stored on your machine. The tool is designed to work entirely offline, and you can prove it with the agm prove-offline command. Traceable & Verifiable: Every action is logged, and all context exports can be cryptographically signed and checksummed, so you can verify the integrity of your data. No Telemetry: The tool doesn't collect any usage data. The core features are MIT-licensed and free to use. There are also some honor-system "Pro" features for advanced code analysis and stricter security controls, which are aimed at professional developers and teams.

You can check out the source code on GitHub: https://github.com/jahboukie/antigoldfish

I'd love to hear your feedback
by scrollaway | 2025-08-13 14:24:36+00:00
Over o3 it's only incremental (which backs up the community's general feeling of gpt5 being an incremental improvement over o3), but it's very consistently better. Also worth mentioning that the score of 77% vs. 90% on the sequences round was shockingly good and shows an improvement over the LLM's ability to not just "classify things" (little to no improvement) but really understand the underlying pattern to get the next one right.
by roscas | 2025-08-13 14:24:58+00:00
You have the power to stop this. Stop using anti-social networks like Facebook, Instasomething or whatever that is, Whatsup if that is the name, or WhatsCrap, really not sure. But stop using those anti-social plataforms like Twitter too. Also critical is use "uBlock Origin" to block ads, becasuse Google, Facebook and Twitter are ads companys. They rely on putting ads on your face and make money.

You do have the power to stop it. It takes a small step to make the world better.
by sebstefan | 2025-08-13 14:25:48+00:00
>Western strain of extreme pacifism that encourages smart hackers to eschew military applications entirely

Not what people are saying. There would be little noise if there were talks at defcon about Ukrainian cyberwarfare or hacking Russian military infrastructure.

This is about the united states military industrial complex. Can you even point out a military that did more harm to the world at large in the last 50 years? How many dead? How many human right violations?

The head of the NSA as well, post-snowden? Come on.
by reify | 2025-08-13 14:25:54+00:00
More overdiagnosis by overdetection

As I am an older guy, nearly 70. I now get constant reminders from my GP and private companies that I should be getting a camera jammed up my arse to check if I have cancer.

No thank you. I have blocked them all.

Stop spending money on early screening diagnosis, it does nothing, and spend the money on treatment for those who need it most..

There is a growing body of evidence that overdiagnosis might even outstrip underdiagnosis and that it comes with its own set of harms.

Consider these scenarios. NHS England estimates that treating cancers found in health screening programmes saves 10,000 lives per year. But what if those very early cancer cells found on screening were never destined to cause serious illness? Not all early cancer cells progress to full-blown cancer.

Perhaps, among this 10,000, some lives were saved but other people were given cancer treatment that wasn’t needed. This is actually a very common example of overdiagnosis by overdetection.

A 2023 study carried out in the US estimated that 31% of breast cancers diagnosed in women over seventy were overdiagnosed.

A French study estimated that more than €100 million was spent on overdiagnosed thyroid cancer in a four-year period.

In many prostate cancer screening programmes no lives are saved but, for every thousand men screened, as many as twenty men are diagnosed with and treated for cancer that would never have caused problems if left alone.

This story is repeated worldwide, for every type of cancer that is subject to screening. Cancer screening programmes save lives but they also risk exposing people to unnecessary invasive medical treatment and to the psychological drawbacks of a cancer diagnosis.

In 2003, the American Diabetes Association adjusted the definition of what it means to have pre-diabetes, lowering the threshold for a normal glucose level in a fasting person from 6.1 millimoles per litre to 5.6.

Were this lowered bar for qualifying as pre-diabetic combined with other tests of glucose intolerance, it could mean as many as half of Chinese adults and a third of British and American adults would be considered to be pre-diabetic if the changes were implemented fully at a global level.

That would place them in a group thought to be at high risk for developing diabetes and make them subject to medical monitoring and potential health anxiety.
by milesjag | 2025-08-13 14:26:02+00:00
LEGO | London (Farringdon) | Hybrid (3 days a week in the office)

* Lead engineer on the personalisation / recommendation engine

* Python, Node JS / TS, Databricks, Aurora RDS, AWS, API Gateway

* Experience required in both data engineering and software engineering

* Experience welcome in ML engineering and data science

I've worked on this team for a year or so now and it's fair to say that there's been no shortage of things to work on - you'll be immersed in the challenge of distributing personalised recommendations across the business and become a part of a company which adopts a lot of the nice danish working practices. The office culture is an important aspect of the business so 3 days a week is a needs-must. If this sounds like your bag - apply below:

https://www.lego.com/en-us/careers/job/lead-engineer-persona...
by azangru | 2025-08-13 14:26:02+00:00
> Think a common approach is to just display a triangular svg beneath the tooltip

One killer feature of CSS anchor positioning is that it allows you to declaratively define fallback positions if the floating element does not fit into the preferred position. For example, you prefer your tooltips to appear below the anchor; but if the anchor happens to be at the bottom of the screen, there is no space below it, and so the floating element can flip to the top.

After the flip, the triangular svg will be pointing in the wrong direction.
by AshamedCaptain | 2025-08-13 14:26:16+00:00
I concur, it seems low effort, and the only real common "myth" (the 1st one) is not really disproven. Infact the very example he puts goes to prove it, as it is going to become an infinite loop given large enough N....

Also compiler optimizations should not affect the result. Specially without "fast-math/O3" (which arguably many people stupidly use nowadays, then complain).
by jordimarius | 2025-08-13 14:26:16+00:00
Location: Valkenburg, Netherlands

Remote: Yes, but open to onsite <50km of Valkenburg.

Technologies: JavaScript, html/css, Vue, Figma, Interface Design.

Hybrid designer-engineer with 4+ years in product design (Phitaal, Precedence). At Phitaal , I redesigned their client portal and build a design system which I helped implement. At Precedence, I helped restructure an overly complex ai toolbox to truly give their consultants ai capabilities.

I’m currently building a top secret ai document editor in a small team where I’m both interface designer and frontend developer. I bring strong UI craft and code together.

Looking for a 4day/week role on a small, product-driven team where delivering value matters more than staying in strict role lanes.
by ikskuh | 2025-08-13 14:26:19+00:00
Creator here!

Wanna hop onto my crazy train and make a second main board?

I wanna make the Ashet Home Computer an open and free platform, so if you implement the backend control interface, you can use all of the environment yourself.

> I am way worse than OP and have no documentation at all.

I confess guilty at the currenr point. I do have planned a large phase in development where i will create entry-level docs for everything, as these are an essential part of the project.

The video is incredibly cool! Ashet started as a SoC in a ECP5, but the RP2350 basically hit all my spec requirements better than i could've done it myself, which made it a no-brainer to ditch the FPGA