MurphyA/hacker-news huggingface dataset:
by ZeroGravitas | 2025-04-17 08:00:06+00:00
There was a CDC report recently that defined "profound autism" as "nonverbal, were minimally verbal, or had an intelligence quotient <50".

They found roughly 25% of kids diagnosed by age 8 fitted this category.

This category seems to be growing, but not as fast as autism disgnosis generally.

The obvious statistical issue here is that to have received a diagnosis by age 8 you need to be showing more severe symptoms.

This shows up in the fact that these kids are "more likely to be female, from racial and ethnic minority groups, of low socioeconomic status" compared with kids with autism generally because the ability to get diagnosed for milder forms is harder for those groups (more mildly autistic girls seem to mask their social symptoms better than boys, which has historically led to them being undercounted and unrepresented in the common stereotype).

https://journals.sagepub.com/doi/10.1177/00333549231163551
by MichaelRo | 2025-04-17 08:01:10+00:00
Yeah well, my parents have a garden of some 1000 square meters (a quarter acre) and lemme tell ya, there's a lot of stuff you can grow on that area. Obviously as a kid I couldn't escape being sent to attend the garden and saying I wasn't a fan of that is an understatement. Unless you do it as a hobby it's not a pleasant activity.

In fact nowadays I use it to form a mental image on the enthusiasm that today's kids have for reading (and unfortunately mine is no exception). I read a ton as a kid and still read now but my kid wouldn't touch it with a barge pole unless forced to. Never saw him pick up a book on his own volition, that is.

But I imagine it's the same situation as me with tending the garden. Never, not once, did I go to my father and say "dad, gimme the hoe coze I wanna start hoeing the weeds between the tomatoes".

Bottom line, I'd take supermarket vegetables anytime to growing myself. It's just not for me :)
by mycatisblack | 2025-04-17 08:01:16+00:00
The Chinese story parallels the rise of Japanese tech in many ways, even with a different set of rules at the base.

In the 50s to 70s Japanese products were known as absolute crap. There was a meme that Japanese knock-offs often contained the same errors from the original design. This changed drastically once the generation that was tutored by people with experience started joining the work force.

Re Chinese products there’s still a cult of “crap products “ but they were also among the first to market 5g technology, to the point that the west had to tell their market to wait until domestic manufacturers had caught up.
by Nomad_Tech | 2025-04-17 08:01:18+00:00
I use LLMs like ChatGPT/Gemini/Claude on a daily basis but got tired of wrestling with prompts to get consistent, usable results. Found myself repeating the same fixes for formatting, tone, specificity etc.

So, I started compiling these fixes into a structured set of copy-paste rules, categorized for quick reference – called it my Prompt Rulebook. The idea is that the book provides less theory than those prompt courses or books out there and more instant application.

Just put up a simple landing page (https://promptquick.ai) mainly to validate if this is actually useful to others. No hard sell – genuinely want to see if this approach resonates and get feedback on the concept/sample rules.

To test it, I'm offering a free sample covering:

Response Quality & Accuracy ‐ For thorough, precise answers

Output Presentation ‐ For formatting and organization

Completeness & Coverage ‐ For comprehensive answers

All the best, Nomad.
by ProfDreamer | 2025-04-17 08:03:19+00:00
> Given an existing collection - Is there an easy way to auto sort & tag everything? e.g. Merge the artists 'Guns N Roses' and 'Guns and Roses' into the most correct one.

I've recently started using Beets[1] to organize my music collection. It's a command line application that IMHO is not entirely intuitive to use at first. But once you get the hang of it, it works incredibly well.

[1]: https://beets.io/
by InDubioProRubio | 2025-04-17 08:05:29+00:00
I guess future designs will have a cooling ring integrated into the chiplets.. the dark silicon starts up, finds in the memory shared with the previous hot silcone the instructions and cache, computes till heat death, stores all it did in the successor chiplet - it all is on a ring like structure, that is always boiling in some cooling liquid its directly immersed in, going forever round and round. It reminds me of the Ian M. Banks setup of the fireplanet Echronedal in the player of games.
by jjani | 2025-04-17 08:06:12+00:00
Power user here, working with these models (the whole gamut) side-by-side on a large range of tasks has been my daily work since they came out.

I can vouch that this is extremely characteristic of o3-mini compared to competing models (Claude, Gemini) and previous OA models (3.5, 4o).

Compared to those, o3-mini clearly has less of the "the user is always right" training. This is almost certainly intentional. At times, this can be useful - it's more willing to call you out when you're wrong, and less likely to agree with something just because you suggested it. But this excessive stubbornness is the great downside, and it's been so prevalent that I stopped using o3-mini.

I haven't had enough time with o3 yet, but if it is indeed an evolution of o3-mini, it comes at no surprise it's very bad for this as well.
by mrkeen | 2025-04-17 08:06:32+00:00
> Implication of Using STM Running I/O Inside STM— There is a strict boundary between the STM world and the ZIO world. This boundary propagates even deeper because we are not allowed to execute arbitrary effects in the STM universe. Performing side effects and I/O operations inside a transaction is problematic. In the STM the only effect that exists is the STM itself. We cannot print something or launch a missile inside a transaction as it will nondeterministically get printed on every reties that transaction does that.

Does Zio actually offer any protection here, or is it just telling the reader that they're on their own and should be wary of footguns?
by Cthulhu_ | 2025-04-17 08:06:49+00:00
I need to ask, when playing against AI players in poker games, are they fair (= work on the same sets of cards, are not aware of your hand) or do they get to cheat?

(I played a MTG game years ago and it was not fair, the opponent's deck was not shuffled but they always had cards that provided a certain experience)
by Sonnigeszeug | 2025-04-17 08:06:49+00:00
A EC2 (vm) on aws with a little bit of CPU, Memory and enough storage attached, costs 1k per month which is something like $1.5 per Hour.

Its not necessarily about storing it longerm, its about 'looking into it'.

I don't get the Airgap thing though at all. There is a very minimal chance that this contains a zero day. The idea of a zero day is, that you can attack systems and you sell it to people who have high profile targets or systems.

Some random person downloading leaked data, everyone can download, is not a real target for a zero day.

And a zero day which breaks random unpacking tools and your vm/system, would be worth even more.
by petepete | 2025-04-17 08:08:00+00:00
I tried Jellyfin for music but couldn't make it work with Sonos so just ended up using Sonos' local music library via SMB, with Symfonium on my phone.

It works well but it's something I'll revisit at some point as I do like the idea of one central library with shared playlists etc.

In fact, I haven't been able to even make a playlist on Sonos, it's baffling.
by graycat | 2025-04-17 08:08:57+00:00
Well, for a computer that is a finite state machine there are only finitely many states. So, in finite time the machine will either (a) halt or (b) return to an earlier state and, thus, be in an infinite loop. So, in this case can tell if the "program will stop" and, thus, solve "the halting problem".

Uh, we also assume that before we start, we can look at the design of "the machine" and know how many states there can be and from the speed of the machine how many new states are visited each second. So, we will know how long we have to wait before we see either (a) or (b).
by redbell | 2025-04-17 08:11:54+00:00
I consider AlphaGo - The Movie [1] to be a timeless classic that will never feel outdated. In my opinion, it surpasses even Hollywood productions, despite being based on true events and filmed live with real people. I'm ranking it as #2, though, because I still believe Steve Jobs' 2007 iPhone presentation [2] is the greatest live tech event ever captured on film. Hearing the crowd screaming when seeing some tricks and techniques ( eg. slide to unlock, pinch to zoom and scrolling up) on how to use the phone does really triggers some haptic feedback in my heart because we are now so used to these tricks that were pure magic back then.

______________________________

1.https://www.youtube.com/watch?v=WXuK6gekU1Y

2.https://www.youtube.com/watch?v=VQKMoT-6XSg
by simianwords | 2025-04-17 08:13:38+00:00
The only scientific way to prove intelligence is using statistics. If you can prove that a certain LLM is accurate enough in generalised benchmarks it is sufficient to call it intelligent.

I don't need to know how it works internally, why it works internally.

What you (and parent post) are suggesting is that it is not intelligent based on its working. This is not a scientific take on the subject.

This is in fact how it works for medicine. A drug works because it has been shown to work based on statistical evidence. Even if we don't know how it works internally.
by TheAuditor | 2025-04-17 08:13:49+00:00
We were the first int he country to ever achieve this with an industry enabled release. The argument over this int he talk page is that "they would to trust Indian sources" So once all sources that does not fit the (western) wiki editors is considered non reliable, the editors decide personally on what is true and what is not.

If the article was badly built the community should have fixed it or are they expecting the people who know things to come in and edit content related to them?

Throwing away historic pages without due consideration or research is absolute shame.

(page was not prepared by us nor was it written up by anyone related to us)
by hatefulmoron | 2025-04-17 08:14:11+00:00
> Yeah, if you’re into playing stupid mind games while not even being right.

If I ask questions outside of the things I already know about (probably pretty common, right?), it's not playing mind games. It's only a 'gotcha' question with the added context, otherwise it's just someone asking a question and getting back a Monkey's Paw answer: "aha! See, it's technically a subset of TS.."

You might as well give it equal credit for code that doesn't compile correctly, since the author didn't explicitly ask.
by ValveFan6969 | 2025-04-17 08:14:12+00:00
Exactly... the real problem is how they're grown.

Frozen vegetables are less nutrient rich compared to fresh vegetables, because they lose nutrients while being frozen. And to be honest, frozen vegetables are frozen in the first place because those vegetables would have gone to waste otherwise.

So not only is their original state already compromised, they're then even more so when they're frozen.
by jjani | 2025-04-17 08:15:01+00:00
It feels similar to Llama4 - rushed. Sonnet had been king for at least 6 months, then Gemini 2.5 Pro recently raised the bar. They felt they had to respond. Ghibli memes are great, but not at the cost of losing the whole enterprise market. Currently for B2C, there's almost no lock in. Users can switch to a better app/model at very little cost. With B2B it's different, a product built on Sonnet generally isn't just going to switch to an OA model overnight unless there's huge benefits. OA will want a piece of that lock-in pie, which they'd been losing at a very rapid pace. Whether their new models solve that remains to be seen. To me, actually building products on top of these models, I still don't see much reason to use any of their models. From all testing I've been doing over the last 2 days, they don't seem particularly competitive. Potentially 4.1 or o4-mini for certain tasks, but whether they beat e.g. Deepseek v3 currently isn't clear-cut.
by mrkeen | 2025-04-17 08:15:37+00:00
Mutexes lock code, TVars lock data.

If you lock a section of code (to protect data), there's no guarantee against mutations of that data from other sections of code.

If you lock the data itself, you can freely pass it around and anyone can operate on it concurrently (and reason about it as if it were single-threaded).

It's the same approach as a transactional database, where you share one gigantic bucket of mutable state with many callers, yet no-one has to put acquire/release/synchronise into their SQL statements.
by cookiengineer | 2025-04-17 08:15:46+00:00
It's not about the weight, it's about the exercise.

Start with something easy and establish a rule that won't ever be broken. If you break a rule once, you'll lose the fight.

My rule, for example, when I started to train more:

- start with 10 crunches every morning and evening

- increase by 2 crunches every day

- no exceptions

When you are at ~2 months in, you can add weight training to it to get stronger.

Additionally, find a sport that you can do once or twice a week that is FUN to do. By FUN I really mean it. There's no point in doing sports if you don't enjoy it.

If you enjoy playing batminton, go for it! If you enjoy table tennis, go for it! If you enjoy Kung Fu, Krav Maga, or whatever ... go for it!

Sports isn't about reaching goals, it's about having fun while doing it. Otherwise, you will not overcome the struggles. Your brain needs a reward, and enjoying sports helps you keep wanting more of it.
by Sonnigeszeug | 2025-04-17 08:18:37+00:00
I'm arguing that this is to simple of an explanation.

The claude paper showed, that it has some internal model when answering in different languages.

The process of learning can have effects in it, which is more than statistics. IF the training itself optimizes itself by having a internal model representation, than its no longer just statistics.

It also sounds like that humans are the origin of intelligence, but if humans do the same thing as LLM, and the only difference is, that we do not train LLMs from scratch (letting them discover the world, letting them inventing languages etc. but priming them with our world), than our intelligence was emergent and the LLMs one by proxy.
by prmoustache | 2025-04-17 08:19:15+00:00
Author mention the struggle of making playlist, I just use the filesystem feature and put them in individual folders. Every single audio player can put all songs in a folder in the play queue. Hardlibks can be used to save space for songs I have on individual albums. I still like listening to complete albums.

The music from my computer is synchronized to my smartphone with syncthing.

No server needed.
by netsharc | 2025-04-17 08:19:34+00:00
What a joke.

Somewhere in this Library of Babel there was a site/social media account that reports news from western countries as if they're 3rd-world (African) dictatorships.

ChatGPT provides a simulacrum:

Influencers in Dictatorship Promote App That Pays in Phantom Crypto for Snitching

By Jonathan Reyes, Global Affairs Correspondent

In a bizarre fusion of surveillance culture and digital snake oil, social media influencers aligned with the authoritarian regime of the Republic of Unified Victory and Eternal Peace have begun promoting a new app that promises users payment in cryptocurrency for reporting the “unpatriotic behavior” of their fellow citizens.

The app, called LoyalEyes, is marketed as a "civic participation platform" that allows users to anonymously upload photos, audio, and video of anyone suspected of “anti-national activity,” ranging from criticizing the government to simply using a VPN.

Prominent lifestyle influencers—many of whom regularly appear at regime-sponsored events—have flooded the nation’s tightly controlled social media sphere with posts extolling the virtues of the app. With hashtags like #CryptoForPatriots and #SnitchToGetRich, they claim that users are rewarded in UnityCoin, a supposed blockchain-based currency allegedly backed by the country’s economic ministry.

However, no evidence exists that UnityCoin has any real value, liquidity, or even a functioning blockchain. Users report that after submitting multiple “reports,” they receive token amounts of UnityCoin in their in-app wallets—none of which can be withdrawn, traded, or converted. Attempts to contact app developers result in generic auto-replies, while complaints are quietly deleted from official channels.

[...]

Some early adopters, disillusioned by the absence of actual payouts, have attempted to speak out, only to find their social media accounts suspended or their families visited by state officials under vague charges of “cyber-subversion.”

Meanwhile, the app continues to gain traction among younger citizens desperate for economic opportunity—many of whom are unaware that the cryptocurrency rewards are as fictional as the freedom they’re helping suppress.

“This is not just a scam,” Bertrand added. “It’s psychological warfare in a digital skin.”

Human rights organizations are calling for an investigation into the app’s developers, many of whom appear linked to shell companies registered in offshore jurisdictions. But in a country where asking too many questions can be a crime, answers may be a long time coming.
by littlestymaar | 2025-04-17 08:19:51+00:00
Writing philosophy that looks convincing has been a thing LLM do well since the first release ChatGPT back in 2022 (in my country back in early 2023, TV featured a kind of competition between ChatGPT and a philosopher turned media personality, with university professors blindly reviewing both essays and attempting to determine which was whom).

To have an idea about how good a model is on non-STEM tasks, you need to challenge it on stuff that is harder than this for LLMs, like summarization without hallucination or creative writing. OpenAI's nonthinking model are usually very good on these, but not their thinking models, whereas other players (be it Google, Anthropic or DeepSeek) manage to make models that can be very good at both.
by jemmyw | 2025-04-17 08:20:14+00:00
well expanding on that analogy, if you don't have your own workshop and/or don't want to spend time setting one up, then getting use of a shared community workshop would be fine. Especially if all the drawers are labelled, and it has all those peculiar machines you didn't think you'd need but actually turned out to be very useful. Yes, others made some decisions and now you have to follow those, but that is more often a positive thing than a burden.
by das_keyboard | 2025-04-17 08:21:07+00:00
The article contains a paragraph about ads and it reads like a nightmare:

> The full-page advertisement you saw on the previous page is an example.

> the paginated website design opens up new possibilities for ad placement and presentation, allowing for innovative approaches in terms of ad type, location, size, and interaction compared to traditional scrolling.

> highlighted and annotated sections often represent the user's key interests, allowing for more targeted and relevant ad placements

> ads embedded in the website will be included in these downloaded PDFs, increasing ad exposure each time the user reviews the PDF file.

> Paid subscribers could download ad-free PDFs, while non-paying users receive PDFs with embedded advertisements, providing a tiered reading experience.
by EVa5I7bHFq9mnYK | 2025-04-17 08:21:12+00:00
When I worked at a bank, the DEI initiatives were limited to documenting in my yearly review how many rainbow cakes I ate each year and counting my participation in various celebrations.

But I think I was also a beneficiary of DEI, because my boss once told me I couldn't quit because I was the only representative of my race in our department.
by monsieurbanana | 2025-04-17 08:21:40+00:00
> Upgrade apps in a fraction of the time with the Amazon Q Developer Agent for code transformation (limit 4,000 lines of submitted code per month)

4k loc per month seems terribly low? Any request I make could easily go over that. I feel like I'm completely misunderstanding (their fault though) what they actually meant.

Edit: No I don't think I'm misunderstanding, if you want to go over this they direct you to a pay-per-request plan and you are not capped at $20 anymore
by HenryBemis | 2025-04-17 08:22:02+00:00
You are a free spirit, and the very first to take a bullet in the head when someone (in time of war) will tell/order you "do _this_" and you will say "no". Better a corpse than a naysayer.

I don't know how many here are Iron Maiden fans/listeners, but for those who don't know their work, I propose a read at the lyrics of The Trooper [0]

[0]: https://www.azlyrics.com/lyrics/ironmaiden/thetrooper.html

War is hell.
by antirez | 2025-04-17 08:22:55+00:00
Maybe there isn't enough data for each user for pairs, but I thought about mixing the two approaches (but had no time to do it), that is, to have 350 components like now, for the single word frequency, plus other 350 for the most common pairs frequency. In this way part of the vector would remain a high enough signal even for users with comparable less data.
by NicolaiS | 2025-04-17 08:23:14+00:00
This will not work as any attacker that can MITM the client (likely scenario for end-users), can also MITM this "certificate issuing" setup and issue their own cert.

The reason an attacker can't MITM Let's Encrypt (or similar ACME issuers) is because they request the challenge-response from multiple locations, making sure a simple MITM against them doesn't work.

A fully DNS based "certificate setup" already exists: DANE, but that requires DNSSEC, which isn't wildly used.
by po26511 | 2025-04-17 08:23:55+00:00
> We're exceptional, right?

Yup, and that pushes a nationalistic agenda even if not intentional. We're exceptional, so everyone else is mediocre and such border policies don't seem that strange? IMO a historical example of where being exceptional led us is the Trail of Tears.

Moving in the direction away from exceptionalism and more towards doing as other countries do is a simpler story toward reaching cooperation / peace than the alternative. Since if you don't, then you have to force your ideals on others, or every conversation just ends with "but we're exceptional and you aren't".
by bjackman | 2025-04-17 08:24:31+00:00
I don't understand why the UIs don't make this obvious. When the model runs code, why can't the system just show us the code and its output, in a special UI widget that the model can't generate any other way?

Then if it says "I ran this code and it says X" we can easily verify. This is a big part of the reason I want LLMs to run code.

Weirdly I have seen Gemini write code and make claims about the output. I can see the code, the claims it makes about the output are correct. I do not think it could make these correct claims without running the code. But the UI doesn't show me this. To verify it, I have to run the code myself. This makes the whole feature way less valuable and I don't understand why!
by virgilp | 2025-04-17 08:25:40+00:00
> Big O notation also suffers from this - it's almost useless for real world problems.

This is quite a bold claim. Yeah "in the real world" you often need to take into consideration the constant factors... but to go this far to say that Big O is useless? It's very useful to figure out what would likely work (or not) for your problem, given that you know the data size - I used it for exactly that, many many times.