MurphyA/hacker-news huggingface dataset:
by socalgal2 | 2026-02-26 09:53:42+00:00
Then there's the even better alternate universe. Japan, where there are ~100 train companies, almost all of them are private. There are at least 10 in Tokyo, all but one are private. They are setup so that they have a positive feedback loop. Each train company owns land at and around the trains stops. They open office buildings, apartments, groceries stores and shopping centers around those stops. The more people ride their trains, the better their other businesses do. The more compelling their other businesses are, the more people want to ride their trains to get to them. The also often run buses so you can take a bus to their stations.

These means the trains constantly improve and there's no poltitians trying to cut funding or under budgetting. The 10 companies in Tokyo I can name are JR East, Eiden, Toei, Tokyu, Seibu, Tobu, Odakyu, Keio, Keikyu, Keisei. There are actually more but they generally run 1 line each, at least at the moment.

Of those, only Toei (4 lines) are run by the government. Eiden (the Tokyo Subway) is private but gets some goverment backing. The others are all private. JR East was public in the 70s. The other 7 have always been private.

Unsurprisingly, only Toei, the government run one, is not setup with all of the positive feedback loops that keep the others going.

Note that it's similar in the Osaka/Kyoto/Kobe area. JR West and 5 other big companies, 3 subway companies, a bunch of other 1/2 line companies.

Another thing to note is, AFAICT, the population density of Kyoto is generally less than Los Angeles but they have great transporation from these private companies.

Conversely, the London Underground has had notorious underfunding issues.
by osmsucks | 2026-02-26 09:54:02+00:00
Okay, you go get treatment at that facility if it's working as well as you insist.

Besides, whether the facility is (partially!) operational today is besides the point. Your original post insisted that "Israel has destroyed no hospitals", while it clearly has. The picture I linked is from 2024. The fact that Al-Shifa was brought back to a partially operating state in late 2025, after months of partial ceasefire, doesn't disprove that it was destroyed in 2024. Sources like https://en.yenisafak.com/world/al-shifa-hospital-begins-reco... show that the situation is far from positive.

And, again, this is just one example of the many.
by kakacik | 2026-02-26 09:54:05+00:00
> there aren't many things more stressful than getting punched in the face

I can definitely see this happening in dangerous/adrenaline sports like climbing. Normal things and fears just don't bother me anymore, when you are continuously facing your fear of grave injury and/or death when abyss stares at you and you hold just on your finger tips. There is rope but that doesn't do much for the fear, and you can still get injured if fall is nasty. And its not just exposure to fear, but you need to semi-continuously keep overcoming it during entire session, repeat that 1..X times per week, and after few years you become somebody else in this regard (and few others).

Now-famous Alex Honnold said that his fear receptors in brain basically just don't trigger anymore - they did some MRI scans of his brain. But the thing is, there was nothing special apart from that, and he himself attributes this to 2 decades+ of daily exposure to increasingly dangerous situations (not just famous crazy free solos but a lot of wild scrambling which can, and often does turn into serious exposed solo climbing without a chance to retreat).

Brain is a muscle, and fear is one dimension of how to expose and train it. Too much too quickly and it will overwhelm anybody. Bud to it gradually and in dosed manner and things will happen.
by smusamashah | 2026-02-26 09:55:10+00:00
We are not getting faster and better software even now when coding is "solved". We are not getting Skynet until we have that.

I believe that peak of automated coding will be when this AI write super optimised software in assembly language or something even closer to CPU. At the moment it's full of bloat, with that it will only drown under it's own weight instead of improving itself.
by Traster | 2026-02-26 09:55:16+00:00
On the broader point, I think it's right to say that OpenAI has challenges. It simply has no differentiation beyond branding and arguably there are quite a few obvious ways it messed up and lost momentum (the board fight, trying to go in every direction at once etc.)

Today you have a phone in your pocket and you have apps on your home screen. Facebook is on your home screen, Whatsapp or X or Bluesky or whatever have a place on your home screen. Google basically is the safari app on iPhone. I don't know how many people have ChatGPT on their home screen. And soon, there will be some AI in your home screen from Apple (served by Google or another big hitter)that will be an incredible advantage.

That means OpenAI either needs to build up history with users very quickly and use that as stickiness before Apple nukes that distribution. Or they need to find a way of being another device that every living person has in their pocket.

Every attempt at doing that so far has been a comical failure and the way OpenAI are behaving makes me think their attempt will be no different.
by cipher-108 | 2026-02-26 09:55:23+00:00
This seems excellent if not revolutionary, just what I've been looking for, but GPU support didn't work on my M1 and M1 Max. Is there a way to support Apple M series processors? That would be greatly appreciated. I don't have experience about this kind of programming and didn't get very far with ChatGPT.

On M1 Max, it says 14.8GB free / 32.0 GB total, but " No GPU detected" and "What Can You Run? (ZSE Ultra Mode)" only says "7B GPU + CPU Hybrid", nothing else.
by harvey9 | 2026-02-26 09:55:28+00:00
"whose ridership has bounced back more quickly after Covid than rail."

I suspect that's because rail users are more likely to have jobs which can be done remotely.

The writer might also consider that short distances between bus stops helps people who cannot easily walk longer distances.

London is trying out some services which have fewer stops, such as the Bakerloop route which follows a proposed route for a new Tube line. Perhaps this combination offer is a good choice at least for urban areas.
by pawelduda | 2026-02-26 09:55:48+00:00
I bet that's the case. Crypto bros need a villain to justify being trigger-happy top buyers flooded by greed every time. Jane Street is particularly useful to KoLs who have been shilling crypto all the way down from the top. There is already strong confirmation bias from everyone yapping "See? You lost moniez because of market manipulation! I'm a successful trader (here is my paid substack and exchange reflink)"
by seydor | 2026-02-26 09:56:15+00:00
Google is sticky too, and has a huge moat around that access (android, browsers).

Google hasn't yet pushed hard into dominating the chatGPT use case, but they could EASILY push out chatGPT if they tried. For example, if they instantly turned their search page to the gemini chat, they would instantly have dominated openAI use cases. I'm not saying they would do that, they will probably go for the 'everything app' approach slowly

I think the use cases of chatGPT and google are not differentiated enough to justify 2 winners
by fc417fc802 | 2026-02-26 09:56:43+00:00
And where is this objective metric for consciousness? Last I checked we didn't even have a sensible definition for it.

It seems to me you're just kicking the can.

Setting that issue aside. While I certainly don't believe LLMs to be conscious (an entirely subjective and arbitrary take on my part I admit) I don't see any reason that concepts such as "intelligence" and "understanding" should require it. When considering how we apply those terms to humans it seems to me they are results based and highly contextual (ie largely arbitrary).
by SLJ7 | 2026-02-26 09:58:07+00:00
Right, and people do vote with their wallets. They vote for the iPhone. We don't have iPhones because they exist; they exist because we keep buying them. This isn't a chicken and egg situation. Apple offered people a deliciously simplified computer in their pocket and people wanted that more than they wanted control. Their app store model hasn't meaningfully changed in almost two decades (except for whatever malicious compliance they're currently deploying in the EU). so to really examine the scope of the problem we need to acknowledge that almost everyone had a hand in creating it. I researched and ordered a new router that runs on open-source software today, and started setting up a Linux server. And now I'm in bed, scrolling HN on my iPhone.
by n7g | 2026-02-26 09:58:23+00:00
Recursive models like TRM/CTM/UT have create a lot of buzz lately. But they're rarely used outside of static, toy domains - especially language.

In 2018, we saw "Universal Transformers" try this. However, follow-up works reveal that simple RLMs (recursive LMs) don't yield substantial performance gains w.r.t FLOPs spent

In this work, we argue that using some rather simple tricks, one can unlock huge performance gains and make RLMs outperform iso-param and iso-FLOP baselines
by nomilk | 2026-02-26 10:01:04+00:00
Bold use of OpenClaw by ‘Culture Kings’ founder, Simon Beard (clothing store, $0.5b valuation).

Particularly interesting is instructing OpenClaw “if it’s reversible, just do it”, which derives from Jeff Bezos’s philosophy of not spending a long time on decisions that are easily reversible (instead, just make a decision and go with it; if it turns out to be incorrect, it’s reversible, so not a big deal)
by sethammons | 2026-02-26 10:03:13+00:00
People are being rejected at the US border due to saying things online that the current administration doesn't like and they are already claiming to add peaceful protesters to domestic terrorist lists.

Do you think the current and future administrations won't go further? This very comment might get me on a list.

My commenting _is_ gathering allies and armaments by voicing dissent and being one more raindrop that will hopefully add to a flood of change and improvement.
by altmanaltman | 2026-02-26 10:03:30+00:00
I think I recall Hendrix had a history of assaulting women and died choking on his own vomit. Good guitarist, but a piece of shit human being. Does not deserve to be glorified like he is. Maybe instead of reproducing the sounds of fighter jets, he was trying to reproduce the painful squels made by women he was beating the shit out of.
by petesergeant | 2026-02-26 10:03:56+00:00
The problem with the stickiness is that they will eventually need to start charging, and that friction point will immediately make them come undone. Let’s says they charge $1.99 a month, and Anthropic then step in with a six month free offer, and suddenly everyone has two apps on their phone they’re comfortable with, and it’s a price war over very lightly differentiated products
by MidasTools | 2026-02-26 10:06:09+00:00
Running a solo dev business on top of multi-agent Claude Code workflows (OpenClaw stack) -- the cascading context drift problem is real and the state partitioning approach in this thread is the right instinct.

The failure mode that bit us hardest: agents sharing a single context window where early tool outputs pollute later reasoning. Fixed it by treating each agent turn as append-only -- worker writes output to a structured log, reviewer reads only that log (not the raw conversation history). Isolated drift. Night and day.

The confidence score idea is underutilized. We log tool call outcomes as: {action, result, confidence: 0-3}. The reviewer agent pattern-matches on low-confidence streaks before they compound into something unfixable.

On the multi-model review question from another commenter: different models catch different failure types. Claude catches logical inconsistencies; a smaller/faster model catches format errors and incomplete outputs. Cheap pre-check before the expensive reviewer saves a lot of token burn.

What's your retry strategy when the reviewer blocks -- exponential backoff on the same worker context, or fresh context each retry? We do fresh context after 2 failures.
by raw_anon_1111 | 2026-02-26 10:07:20+00:00
And?

The tech landscape is littered with companies they had users who couldn’t monetize through ads. Beside the costs of serving request via LLMs is orders of magnitude greater than a search result.

On top of that, OpenAI is a sharecropper on other companies’ server, they depend on another company’s search engine and unlike Google, they are dependent on Nvidia.

Don’t forget that most browsing is done on the web and Google is the default search engine on almost every phone sold outside of China.
by 5o1ecist | 2026-02-26 10:07:25+00:00
> any reason you prefer Perplexity

Yes! I have tested all the major ones at some point, months ago, and found perplexity to be the most default-intelligent of the bunch. Of course that has to do with the underlying model (I still believe that it was Sonar, but idk), but also with how perplexity.ai "works" (for lack of a better term) the back-end. You know, memory, reasoning-steps, hidden prompts.

I have a huge background in psychoanalysis and neurolinguistic programming. My favourite hobby is metacognition.

I can't speak about the other major "engines", but perplexity learns over time. When you don't like something and keep telling "her" (i dislike using "it", because it's like i am talking to someone. it's weird, really), she will eventually stop doing it, because her memory influences her reasoning-steps.

Like ... tools are off, unless actually needed. She doesn't please me, at least not in the usual sense. She never uses "maybe", "probably" or "almost certainly", because I've taught her not to by explaining her, logically deductible, why it's bad. When she does, she explains why she does it.

Unlike a child, AI has the knowledge to figure out the correctness of the logic, as long as it is not forced to "please", which my perplexity isn't.

I've also taught her meta-awareness of missing pieces in logical constructs, virtually eliminating hallucinations and massively reducing the amount of mistakes she makes, as long as the background knowledge is solid.

For example, talking about prompting (image generation) is pointless, because there is so much conflicting information out there. (it's a copy/paste culture).

Yet, when you teach her the concept of ground-truths, as long as the background is solid, she makes virtually no mistakes at all.

It's fascinating, really. Mind boggling, even! I could write pages worth of posts about my experiments and experiences ... as you can probably tell! :D

AHAHAHAHAHAHA Sorry! :D
Show HN: Better Hub – A better GitHub experience
by bekacru | 2026-02-26 10:08:01+00:00
Hey HN,

I’m Bereket, founder of Better Auth. Our team spends a huge amount of time on GitHub every day. Like anyone who’s spent enough time there, I’ve always wished for a much better GitHub experience.

I’ve asked a lot of people to do something about it, but it seems like no one is really tackling GitHub directly.

A couple of weeks ago, I saw a tweet from Mitchell (HashiCorp) complaining about the repo main page. That became the trigger. I decided to start hacking on a prototype to see how far I could push an alternative interface using GitHub’s APIs.

Within a week, I genuinely started using it as my default, same with the rest of our team. After fixing a few rough edges, I decided to put it out there.

A few things we’re trying to achieve:

- UI/UX rethink* – A redesigned repo home, PR review flow, and overview pages focused on signal over noise. Faster navigation and clearer structure.

- Keyboard-first workflow: ⌘K-driven command center, ⌘/ for global search, ⌘I opens “Ghost,” an AI assistant, and more.

- Better AI integration: Context-aware AI that understands the repo, the PR you’re viewing, and the diff you’re looking at.

- New concepts: Prompt Requests, self-healing CI, auto-merge with automatic conflict resolution, etc.

It’s a simple Next.js server talking to the GitHub API, with heavy caching and local state management.

We’re considering optional git hosting (in collaboration with teams building alternative backends), but for now, the experiment is: how much can we improve without replacing GitHub

This is ambitious and very early. The goal is to explore what a more modern code collaboration experience could look like, and make it something we can all collaborate on.

I’d love your feedback on what you think should be improved about GitHub overall.
by jaen | 2026-02-26 10:08:20+00:00
Did you even read my comment with any thought?! This is like an AI-generated response that didn't understand what I was actually saying.

> I'd encourage you to check the source

I couldn't have written my comment without reading the source, obviously!

> o1/o3 or Grok-Thinking, where the model is the solver at test-time.

What? I said that the SotA is the model generating code at test-time, not solving it directly via CoT/ToT etc.
by tialaramex | 2026-02-26 10:08:40+00:00
"Natural" Oil is literally finite, we're currently burning everything which died over millions of years, when we say it isn't "renewable" that's not some vague idea about the planet not overheating (though to be sure if we heat the planet up and make it uninhabitable that would suck for us) but that literally it's running out.

So "who is gonna pay for it" is everybody, eventually.
by grey-area | 2026-02-26 10:08:40+00:00
Well here's some:

Confabulation/Hallucination - https://github.com/lechmazur/confabulations

Failure to read context - https://georggrab.net/content/opus46retrieval.html

Deleting tests to make them pass - https://www.linkedin.com/posts/jasongorman_and-after-it-did-...

Going rogue and deleting data - https://x.com/jasonlk/status/1946069562723897802

Agent security nightmares because they are not in fact intelligent assistants - https://x.com/theonejvo/status/2015401219746128322

Failure to read or generate structured data - https://support.google.com/gemini/thread/390981629/llm-ignor...

There are many, many examples, mostly caused by people thinking LLMs are intelligent and reasoning and giving them too much power (e.g. treating them as agents, not text generators). I'm sure they're all fixed in whatever new version came out this week though.
Show HN: Grubl – AI and structured recipe generation
by RossMorgan | 2026-02-26 10:08:46+00:00
Hi HN,

I’ve been working on Grubl, an AI-powered cooking assistant focused on solving a surprisingly persistent problem: the daily “what’s for dinner?” decision.

Most recipe apps are essentially searchable databases. I wanted to experiment with something more adaptive — a system that combines LLM reasoning with structured recipe data and user constraints (budget, time, dietary preferences, household size).

Grubl currently supports:

Recipe generation from mood, cuisine, or available ingredients

“Fridge mode” (turn ingredients into meal suggestions)

Weekly meal planning with ingredient reuse optimisation

Auto-generated shopping lists

Nutrition-aware adjustments (macros per serving)

Step-by-step live cooking mode with timers

Basic taste preference learning

Some interesting implementation details:

Recipes are generated in structured JSON format rather than free text. This allows scaling, macro recalculation, cost estimation, and timer extraction.

Ingredient ontology mapping is used to normalise synonyms (“scallion” vs “spring onion”, etc.).

Meal planning attempts to reduce waste by reusing ingredients across days rather than treating each recipe independently.

User preferences are stored and used to bias generation weights (e.g., spice tolerance, disliked ingredients).

Things that turned out harder than expected:

Optimising weekly plans across cost, nutrition, time, and ingredient reuse simultaneously.

Making AI-generated recipes consistent enough for structured scaling.

Designing a UX that feels playful without obscuring control.

I’m particularly interested in feedback on:

Whether the structured + LLM hybrid approach makes sense architecturally.

How you’d approach long-term personalisation memory.

Whether narrowing to a specific segment (e.g. families or fitness users) would be smarter at this stage.

Site: https://grubl.app

Happy to answer questions about the stack, prompting, or tradeoffs.
by dakolli | 2026-02-26 10:09:17+00:00
Often prescribed to treat attention-deficit/hyperactivity disorder, the risk was highest in those taking 30 mg or more of dextroamphetamine (which corresponds to 40 mg of Adderall),

The researchers identified 1,374 cases of individuals presenting with first-episode psychosis or mania, compared to 2,748 control patients with a psychiatric hospitalization for other conditions like depression or anxiety. They conducted a comparison analysis of stimulant use over the preceding month and accounted for other factors, including substance use, in order to isolate the effects of stimulants.

They found the attributable risk percentage among those exposed to any prescription amphetamine was nearly 63 percent and for high dose amphetamine was 81 percent. These findings suggest that among people who take prescription amphetamine, 81 percent of cases of psychosis or mania could have been eliminated if they were not on the high dose. While a significant dose-related risk increase was seen in patients taking high doses of amphetamine, no significant risk increase was seen with methylphenidate (Ritalin) use, which is consistent with previous research, including a 2019 study led by Moran.

https://news.harvard.edu/gazette/story/2024/09/high-doses-of...

Among 1,374 case subjects and 2,748 control subjects, the odds of psychosis and mania were increased for individuals with past-month prescription amphetamine use compared with no use (adjusted odds ratio=2.68, 95% CI=1.90–3.77). A dose-response relationship was observed; high doses of amphetamines (>30 mg dextroamphetamine equivalents) were associated with 5.28-fold increased odds of psychosis or mania

https://psychiatryonline.org/doi/10.1176/appi.ajp.20230329

I don't care, the drug isn't safe. I've seen it permanently change many people. I don't care if they handpicked <100 individuals to prove safety. The doses cited above >40mg are pretty typical.
by grey-area | 2026-02-26 10:11:53+00:00
Well no, style is important too for humans when they read a codebase, so the LLMs the parent is running clearly have some value for them.

They're not claiming LLMs solved every problem, just that they made life easier by taking care of busywork that humans would otherwise be doing. I think personally this is quite a good use for them - offering suggestions on PRs say, as long as humans still review them as well.
by mgaunard | 2026-02-26 10:12:21+00:00
As far as I can tell Google Gemini has the best overall integrations (Android, WearOS, Google Home) with the only voice recognition that actually works (Gemini Live).

Anthropic Claude has the best integrations with coding; what would make sense is for them to focus on that segment.

Other AI companies don't have anything really compelling. Meta has a model that's fully open-source, but then that's not particularly useful outside of helping them remain somewhat relevant, but not market-leading.
by ben_w | 2026-02-26 10:12:26+00:00
> My main doubts about Tesla's plan are that they will sell enough of these to get benefits of scale or that Musk will force the engineering team to "skip lidar" again and compromise the design.

Indeed.

Even with 9 million total cars sold, Tesla still has yet to solve for driving safely with no interventions across just the contiguous USA.

With a similar approach, a million robots operating for years is still a long way short of gathering the data needed for training an AI to autonomously operate safely in a full range of industrial environments.

(That said, IMO remote-controlled humanoid robots still make a lot of sense, they'd only need a little bit of AI to assist rather than to do everything; if I was in Musk's position, I would be selling that vision of the future rather than claiming fully autonomous AI-driven androids are anywhere near).