MurphyA/hacker-news huggingface dataset:
by lwkl | 2025-11-27 15:57:37+00:00
The current supercomputer was AUD 50m [1] and HP seems to have won a few expansion and other contracts for another AUD 50 - 70 million for the next few years. Which are all reasonable.

But it seems like the budget for the software was anything else than reasonable and has crazy budget overruns...

[1] https://www.tenders.gov.au/Cn/Show/?Id=3fd94307-e8eb-1220-4a...
by ndiddy | 2025-11-27 15:57:48+00:00
> Training is not redistribution. It's the exact same as you as a person learning to program from proprietary secret code, and then writing your own original code independently.

Well the difference is that copyright law applies to work fixed in a tangible medium of expression. This covers i.e. model weights on a hard drive but not the human brain. If the model is able to reproduce others’ work verbatim (like the example the article brings up of the song lyrics) then under copyright law that’s unauthorized reproduction. It doesn’t matter that the data is expressed via probabilistic weights because due to past lobbying/lawsuits by the software industry to get compiled binary code covered by copyright, reproduction can include copies that aren’t directly human readable.

> If the material is publicly accessible without protection, you have no reasonable expectation to exclusive control over its use.

There’s over 20 years of successful GPL infringement lawsuits over unlicensed use of publicly available GPL code that disagrees with this point.
by HarHarVeryFunny | 2025-11-27 15:58:05+00:00
Regardless of architecture (which is anyways basically the same for all LLMs), the computational needs of modern neural networks are pretty generic, centered around things like matrix multiply, which is what the TPU provides. There is even TPU support for some operations built into PyTorch - it is not just a proprietary interface that Google use themselves.
by Cthulhu_ | 2025-11-27 15:58:18+00:00
The main issue is that therapy is expensive, and it's very middle-class to have the money to afford one long-term like that. Working class people have had to suck it up, or (preferably) have a good support network themselves.

While I am inclined to agree that most people would benefit from having a professional to talk to, it'd need to be economically viable as well.

But we're seeing this happening in real time; on the one side there's lower cost online councelling available (but whether that's actually certified professionals is debatable), and on the other ChatGPT became the biggest and most popular therapist almost overnight. But again, not sure if it has the necessary certifications, I suppose it's believable enough. I also want to believe OpenAI and all the other AI suppliers have hired professionals to direct the "chatbot as therapist" AI persona, especially now that the lawsuits for people losing their sanity or life after talking to AI are gaining traction.
by mikepurvis | 2025-11-27 15:58:45+00:00
Just spitballing here, but if your interface to these things is USB-C, you should be able to boot them off an image that has a standard SSH key and then you can get in and ID them from a serial number or MAC address. I don't see the identification part as being a huge part of what's gained with the 1:1 configuration.

Is video forwarding part of the product offering, or simply considered required for management functions?

Either way, I probably agree that a raspi per unit probably makes sense at a scale of a few dozen racks, but it would be interesting to do the math on when it would be price-efficient to have a 1:n management node scheme. I don't imagine there are many USB-C hubs that support being display sinks on the downstream ports (if that's even possible at all) but perhaps you could use an FPGA to synthesize a small ARM core with a bunch of native USB-C interfaces capable of doing it?
by macNchz | 2025-11-27 15:59:33+00:00
This is a strange feature of hospitals that seems very much like we should know better, yet it’s pervasive. Hospital-acquired delirium is very common and awful, and is associated with bad outcomes after leaving the hospital—higher risk of death, and ongoing dementia-like problems.

We know sleep is so critically important to health, yet everything about most hospitals seems basically incompatible with proper sleep: beeping, lights, middle-of-the-night blood draws, shared rooms, no sense of day or night. Not dissimilar to how how we know that people make terrible decisions when they’re sleep deprived, but continue to have resident doctors work unreasonable hours, this is a status quo bias that harms people.
by A4ET8a8uTh0_v2 | 2025-11-27 15:59:43+00:00
<< Write in your voice.

I don't disagree, but LLMs happened to help with standardizing some interesting concepts that were previously more spread out as concepts ( drift, scaffolding, and so on ). It helps that chatgpt has access to such a wide audience to allow that level of language penetration. I am not saying don't have voice. I am saying: take what works.
by Cthulhu_ | 2025-11-27 15:59:47+00:00
In theory, at one point people will be done with therapy. I think a better analogy is a physical therapist; you go to one because of an injury.

A personal trainer is for boosting your physical health / performance. For mental health, you'd get a coach, training, or read one of many self-help books, not a therapist.
by ACCount37 | 2025-11-27 16:00:35+00:00
> Its conception of the world is only as good as the models and language (both mathematical and spoken) we have to express it.

Which is pretty damn good, all things considered.

And sure, training set text doesn't contain everything - but modern AIs aren't limited to just the training set text. Even in training stage, things like multimodal inputs and RLVR have joined the fray.

I don't think "create novel concepts" is a real limitation at all. Nothing prevents an AI from inventing new notations. GPT-4o would often do that when talking to AI psychosis victims.
by Workaccount2 | 2025-11-27 16:00:41+00:00
Google completely fumbled Google+ by doing a slow invite only launch.

The hype when it was first coming to market was intense. But then nobody could get access because they heavily restricted sign ups.

By the time it was in "open beta" (IIRC like 6-7 mos later), the hype had long died and nobody cared about it anymore.
by zozbot234 | 2025-11-27 16:00:45+00:00
There was certainly quite a bit of deep talk about "integrity" and "character" in our grandfathers' generation, that was ultimately relating to issues we would now comprise under so-called 'mental health'. It's not clear to me that this medicalized framing ("...health") is necessarily and consistently better than a more traditional one focused on developing a well-adjusted character.
by 1shooner | 2025-11-27 16:01:10+00:00
Yesterday I watched a video showing off 'My New Agent Coding Workflow'. The beginning involved prompting the IDE with a URL to download some additional prompt text files. I really didn't understand why you wouldn't just download the files. Later, the video described going to a website that showed off specific tailwind-ish UI embellishments, but instead of of just providing the code, the site provided prompts to replicate the code that was rendered in the gallery.

I felt like the author getting a cut of viewer token sales.
by ricardo81 | 2025-11-27 16:01:14+00:00
I deleted my Facebook account a couple of years ago and my Twitter one yesterday.

It's not just LLMs, it's how the algorithms promote engagement. i.e. rage bait, videos with obvious inaccuracies etc. Who gets rewarded, the content creators and the platform. Engaging with it just seems to accentuate the problem.

There needs to be algorithms that promote cohorts and individuals preferences.

Just because I said to someone 'Brexit was dumb', I don't expect to get fed 1000 accounts talking about it 24/7. It's tedious and unproductive.
by p_ing | 2025-11-27 16:01:25+00:00
EFF goes on about how speech has been protected off campus in various cases, but what about Bong Hits 4 Jesus where the Supreme Court ruled that the school did not violate First Amendment rights with suspension?

In that case, the student was off school grounds across from the high school.

Was Morse v. Frederick case law overturned in later cases?

And I could just be completely reading this incorrectly, too.
by Aurornis | 2025-11-27 16:01:34+00:00
> What would be a better way to fund large-scale open source projects in your opinion?

Same price for same core feature set would be a good start. Or lower price for smaller feature set.

Having a premium price for a reduced product means your target audience is limited to people willing to pay a premium for a lesser product to support open source. There are some groups willing to do this, but most simply want a tool that does the job without adding too much to their already huge SaaS budget.

I’m extremely sensitive to core workflow tools for a company these days. It only takes a few days of lost work because some tool corrupted your design or the engineers have to spend a few days working around an issue in a tool to make the effective cost of using that tool extremely high.

Engineering time is expensive. If a tool that costs $20 per person per month causes even one issue per month that potentially produces hours of work and rework (like the spontaneously resizing element a commenter above noted) then the true cost is going to be in the hundreds or thousands of dollars per month in lost productivity.
by cootsnuck | 2025-11-27 16:01:56+00:00
This is pretty cool. I like using snippets to run little scripts I have in the terminal (I use Alfred a lot on macOS). And right now I just manually do LLM requests in the scripts if needed, but I'd actually rather have a small library of prompts and then be able to pipe inputs and outputs between different scripts. This seems pretty perfect for that.

I wasn't aware of the whole ".prompt" format, but it makes a lot of sense.

Very neat. These are the kinds of tools I love to see. Functional and useful, not trying to be "the next big thing".
by llm_nerd | 2025-11-27 16:02:04+00:00
It's just more common as a legacy artifact from when nvidia was basically the only option available. Many shops are designing models and functions, and then training and iterating on nvidia hardware, but once you have a trained model it's largely fungible. See how Anthropic moved their models from nvidia hardware to Inferentia to XLA on Google TPUs.

Further it's worth noting that the Ironwood, Google's v7 TPU, supports only up to BF16 (a 16-bit floating point that has the range of FP32 minus the precision. Many training processes rely upon larger types, quantizing later, so this breaks a lot of assumptions. Yet Google surprised and actually training Gemini 3 with just that type, so I think a lot of people are reconsidering assumptions.
by stocksinsmocks | 2025-11-27 16:02:35+00:00
Not defending him, but we were already doing this with electron apps, frameworks, libraries, and scripting languages. The only meaningful cost in most software development is labor and that’s what makes sense to optimize. I’d rather have good software, but I’ll take badly made software for free over great software that costs more than the value of the problem solved.

These discussions are always about tactics and never operations.
by MyFirstSass | 2025-11-27 16:02:47+00:00
I follow experts from doctors without borders, red cross, ICC, amnesty and lots of other top NGO's who actually visit the place - and they all more or less call this an ethnic cleansing, the most horrific thing seen, and it's a genocide actively perpetrated by the the west, it's beyond disturbing.

There's talks of upwards of 500 thousand deaths now, half a million, most of them civilians, women and children.

It's not in any way controversial anymore and the info is out there and has been for a long time.

That people like you call this into question, i'm truly shocked at the heartlessness. It's a slaughterhouse, just like the original holocaust and industrial in its scale and efficiency which makes it that more frightening.
by nasmorn | 2025-11-27 16:02:49+00:00
I should probably do that too. I once wrote an email that to me was just filled with impersonal information. The receiver was somebody I did not personally know. I later learned I made that person cry. Which I obviously did not intend. I did not swear or call anyone names. I basically described what I believe they did, what is wrong about that and what they should do instead.
by claw-el | 2025-11-27 16:03:20+00:00
The American series (House and Elementary) has the advantage of more seasons and episodes, which I think is sometimes required to showcase the challenges of drug addiction and mental health. The fact that these characters having to come back to face the same problem over and over again episode after episode is more true to the nature of the mental health problem itself.

BBC Sherlock has too little episodes to bring audience along a prolonged struggle with mental health.
by stalfie | 2025-11-27 16:03:33+00:00
AFAIK this is actually a separate mechanism, which is part of the visual cortex and not the retina. Essentially recognizing even a single object requires the complete attention of pretty much your entire brain in the moment of recognition.

What I am referring to is a much more basic form of shape recognition that goes on at the level of the neural networks in the retina.
by sgt101 | 2025-11-27 16:03:48+00:00
The models themselves represent the biggest deflation cases I've ever seem.

The charged cost of a frontier model is ~200x lower than 2 years ago, and the ones we are using now are much better - although measuring that and how much is challenging. Building a "better than GPT-4" model is also vastly cheaper than building GPT-4 was... perhaps 1/100th?
by CityOfThrowaway | 2025-11-27 16:03:58+00:00
In a lot of ways, I'm thankful that LLMs are letting us hear the thoughts of people who usually wouldn't share them.

There are skilled writers. Very skilled, unique writers. And I'm both exceedingly impressed by them as well as keenly aware that they are a rare breed.

But there's so many people with interesting ideas locked in their heads that aren't skilled writers. I have a deep suspicion that many great ideas have gone unshared because the thinker couldn't quite figure out how to express it.

In that way, perhaps we now have a monotexture of writing, but also perhaps more interesting ideas being shared.

Of course, I love a good, unique voice. It's a pleasure to parse patio11's straussian technocratic musings. Or pg's as-simple-as-possible form.

And I hope we don't lose those. But somehow I suspect we may see more of them as creative thinkers find new ways to express themselves. I hope!
by leetrout | 2025-11-27 16:04:02+00:00
Hits close to home after I've caught myself tweaking AI drafts just to make them "sound like me". That uniformity in feeds is real and it's like scrolling through a corporate newsletter disguised as personal takes.

what if we flip LLMs into voice trainers? Like, use them to brainstorm raw ideas and rewrite everything by hand to sharpen that personal blade. atrophy risk still huge?

Nudge to post more of my own mess this week...
by xjm | 2025-11-27 16:04:32+00:00
I find it much easier to see what is going on when selecting λ-calculus instead of Δ-Nets. E.g. for the mandatory Y Combinator,

λf.(λx.f (x x)) (λx.f (x x))

for which the difference with

λf.(λx.f (x x)) (λx.f (x x) f)

is very clear, whereas with Δ-nets the difference is more subtle. I guess it is because the visualization has more information than with the λ-calculus.
by d0throww0 | 2025-11-27 16:04:42+00:00
I think there's a difference between providing services to X and a platform using a payment processor that collaborates with X.

You have a point, of course, but for many options, the best we can do is avoid the worst one as there's no perfect solution. I'm not saying that people should leave GitHub because of this, but I can see why some would and why they may pick a different, still not perfect, alternative instead of doing everything themselves.
by PaulRobinson | 2025-11-27 16:05:50+00:00
Integrity and character are about values and how you plan to behave and expect to have others behave towards you. They are not the same as your ability to process emotions that emerge as a result of that behaviour.

Having values is important. Integrity, humility, all of that, absolutely useful.

They are not in themselves sufficient to assure you of good mental health.
by jeroenhd | 2025-11-27 16:06:17+00:00
Google will allow firewalls, but not selective firewalls: https://www.theregister.com/2022/08/30/google_play_vpn_rules...

Their official policy (can't find the up-to-date link because Google's documentation bitrots faster than any other website on the net) over at https://archive.is/OPg2g clearly stated:

The VPNService cannot be used to: •Collect personal and sensitive user data without prominent disclosure and consent. •Redirect or manipulate user traffic from other apps on a device for monetization purposes (for example, redirecting ads traffic through a country different than that of the user). •Manipulate ads that can impact apps monetization.

Google has also removed/threatened to remove prominent firewall VPNs for bullshit reasons (claims that apps violate random policies), though that may just as easily be random Google bullshit fallout every Android developer needs to deal with.

> Whilst this is true for Android (connectivity checks bypass VPNs, as do VoWiFi and Hotspot traffic) [0], other OSes are known to do the same thing: https://news.ycombinator.com/item?id=24838816

You're right, of course. Unless you own the kernel on every SoC running on your system (including the modem), you should always assume there's a possibility of network traffic leaking through firewall APIs.

On Android specifically, though, there is a significant chunk of users that will want to restrict the built-in apps because carrier-installed apps or shady Chinaware that come with cheap phones cannot be disabled by default. Other platforms usually don't have this type of malware baked into the OS in a way that cannot be removed. Apple's questionable privacy decisions are a lot less worse than what some people try to block with these firewalls.
by adam_ftt | 2025-11-27 16:06:21+00:00
Hey HN,

I’m building a security scanner focused specifically on applications that use LLMs — chatbots, support assistants, AI features inside SaaS products, etc.

It runs tests based on the OWASP Top 10 for LLMs (jailbreaks, prompt leakage, sensitive data exposure, unintended capabilities, injection attacks, misuse of tools/actions, and more). These are issues normal web scanners simply can’t detect.

I’m currently pre-launch and looking for 10–15 real apps to test the latest version on. In return, you’ll get: • A full LLM vulnerability report • Concrete how-to-fix steps for every issue • Completely free — this is for validation + building case studies before launch

To be transparent: I know “free” can sound suspicious, but this isn’t a sales funnel. I genuinely need real-world LLM implementations to validate the scanner and improve automation. You get a professional audit you’d normally pay for.

If you’re open to it, drop your email / DM me.
by Aurornis | 2025-11-27 16:06:44+00:00
Can confirm. Worked at a startup with some very generous (though not “unlimited”) limits designed to allow for bursts and spikes of usage.

Some people took it upon themselves to try to abuse and saturate the limits to “prove” that we couldn’t handle it.

We could actually handle it, but it wasn’t worth offering it to this small number of users who were trying to prove a point by abusing it to the max without an actual use case. They just wanted to show off on Reddit that the were making our servers suffer.
by pas | 2025-11-27 16:06:57+00:00
most people don't care and don't even know, and Activision correctly believed that it won't matter (doesn't matter)

... of course the whole company from Satya down to the idiot whatever art director who asked for this are impervious to shame, so yes, how it could matter? it's not like people bought the last ~10 years of CoD for its artistic value, people bought it because they wanted to switch off their brain and get shot and shouted at by teenagers
by lleu | 2025-11-27 16:07:32+00:00
Different frequencies, different arrangement of tones and melodies, production and tonal qualities of the recording, and all manner of composition variations have different effects.

It might be crass way to say it, but it's a real worthwhile line of inquiry.

Don't think you can smack any beat on someone's head and it will cure cancer. It's not all equal.

Broad strokes here... if you look at another vibrational medium for parallels: the colour red can indicate something about the chemical contents of a material, and thus the effects it may have. A soft black carrot may not have the same beneficial qualities as a crisp red, purple, or white carrot...
Show HN: Intrinsic – Desktop app for financial report metric extraction
by vctrla | 2025-11-27 16:07:34+00:00
Hi, my name is Víctor.

I got tired of building massive Excel files and manually copy-pasting numbers to analyze company financials and perform fundamental analysis. So I built Intrinsic: a desktop app that parses financial reports (PDF, HTML, etc.), extracts key metrics, and lets you track and evaluate companies quickly.

How it works:

1) Accepts raw financial reports (PDF, HTML, MHTML, …) and URLs.

2) Parses, normalizes and cleans text. Text manipulation turned out to be key for reliable LLM-based data extraction. By normalizing text, restructuring sentences, and removing noise, model receives better clues and returns much more precise results. A large part of the project became about shaping strings so financial information is clear, predictable, and machine-friendly (see renderer/pipeline). The pipeline is still a bit messy, since I iterated and refactored as I learned what worked best.

3) Extracts core financial metrics: cash, assets/liabilities (current, non-current, total), equity, revenue, net income, EPS, cash flows. Calculates ratios: liquidity, P/E, P/BV, EV multiples, etc.

4) UI features: Historical metrics and ratios, YoY changes, TTM values, valuation scenarios (required EPS/earnings for price targets), editable data, annual-only filters, copy JSON to clipboard (useful for chatbots), navigation across reporting periods...

Why I built it:

- Manually processing financial statements is tedious and error-prone.

- I wanted a unified, personal tool with a clean UI and structured, objective data to evaluate and track interesting companies.

Current limitations: The system relies heavily on string manipulation (no OCR) and LLM accuracy, so complex or unusual report layouts can produce missing or incorrect data. I’d like to replace this with a NER-based system trained on labeled filings, removing most of the heavy string manipulation and LLM inference.

I’m new to Electron, so the update mechanism is intentionally simple for now. Essentially just a rebuild-from-source approach rather than a full auto-update pipeline.

MIT-licensed code: https://github.com/vctrla/intrinsic

Feedback and contributions are very welcome, especially on the NER-based extraction side-quest.
by addaon | 2025-11-27 16:07:41+00:00
How do you find out if the third-party seller you're choosing is correlated with the product that they choose to deliver, or if they're co-mingling inventory? You used to be able to get an answer from support in about 30 minutes or so, so for several years I spent the 30 minutes per order to try to find out, but recently they've claimed they can't say.