skysight-inc/HackerNews huggingface dataset:
Not that im aware of, but that actually would be an interesting project.

I was referring more broadly to ClaudePlaysPokemon, a twitch stream where claude is given tool calling into a Gameboy Color emulator in order to try to play Pokemon. It has slowly made progress and i recommend looking at the stream to see just how flawed LLM's are currently for even the shortest of timelines w.r.t. planning.

I compared the two because the tool calling API here is a similar enough to an MCP configuration with the same hooks/tools (happy to be corrected on that though)
Thank you for reading!
I’m building a full AI-powered ecosystem for low-connectivity dreamers, solo learners, and creators — entirely solo, from UX to AI stack.
I’d love to collaborate or get mentored to scale this into something world-class.

Reach me at: jisanahmmed10@gmail.com

(Happy to share full background if anyone's curious. Just reply here!)
5 years ago I blew out a knee running and we ended up getting a Peloton (coincidentally the end of Feb 2020) since the doctor said it would be less stress on my knees.

Used their service some, but I 3D printed a phone holder for the handlebars. Now instead of sitting in a chair watching videos and scrolling HN, I do it with an elevated heart rate for 30 minutes.

Sure it's not the "right" way to exercise, but I've lost weight (in combination with an improved diet), have more energy and I feel less guilty about screentime.
"The Form of a Demon and the Heart of a Person"
In a sane world, the SEC would be knocking down the door of the portakabin where Musk sleeps. This is really bizarre behaviour.

Much though it may distress them, His saudi friend(s) and Larry can afford to take the hit. It would be better for all of us, if the actual value of this enterprise was there, for all to see, from book value, revenue, and rational projections.

But no: it's value is defined as whatever Musk can make it, based on his ability to direct investment of other companies also under his control.
I love it. That’s genius. Though I wonder if they’d be a special exception: You can talk bad about Kim if American Evil Capitalists force you as long as you get in and bring in the dough.

I am afraid they are a lot more cynical than we give them credit, though.
The linked USAMO math results are in an exam that requires proofs. The same authors, on the same website, ran AIME 2025 shortly after it happened and found it was totally consistent with the o1 announcement numbers; the difference being that the AIME requires only short answers and no proof.

If you are a skilled mathematician, it is quite easy to verify both that (as of 7th April) models excel at novel calculations on held out problems and mostly shit the bed when asked for proofs.

Gary cites these USAMO as evidence of contamination influencing benchmark results, but that view is not consistent with strong performance of the models on clearly held out tasks (arc test, AIME 25, HMMT 25, etc etc).

If you really care, you can test this by inventing problems! It is a very very verifiable claim about the world.

In any case, this is not the pundit you want. There are many ways to make a bear case that are much saner than this.
1 and 2 is the actual answer for any BigCo that I’ve been involved with. It’s quite simple: does fixing the bug affect the money firehose in the short or medium term? If so, fix it. If not, go work on things that involve widening the firehose of money.

3 is sometimes given lip service, but ultimately the only way 3 ever gets done is if someone in upper management pretends to care that 3 is important. Which is pretty rare

4 also happens but everyone thinks they are skunkworks engineer even when they are not
> I started using git around 2007 or so because that company I worked for at the time used ClearCase, without a doubt the most painful version manager I have ever used

Ah, ClearCase! The biggest pain was in your wallet! I saw the prices my company paid per-seat for that privilege -- yikes!
if you use planck units instead of anthropocentric ones gravity isnt weak. its the mass of the proton that is much less than its charge. but why should those two values be equivalent to begin with?
Social Security Website Crashes Blamed on Doge Software Update
I don't feel bad for being unable to conceive of the "navigation bar" containing a link to the page's real content. That's the most effective camouflage possible.
If people think that LLMs will get very good at tons of things, they will invest quite a bit of time figuring out how to work with them (even if they are not that great at useful things right now). If those people then learn that LLMs will never get very good at so many things, they will then tend to invest less time in studying up on how to best use them.

I know I write off some of the time I spend working with LLMs as an investment in the future. If someone told me this is as good as they'll get, I would definitely invest less time working with them.
What bunkum. Stealing is only recent propaganda, and not successful at that. If anything, the act of sharing something is cultural and innate for millennia even [0].

https://en.wikipedia.org/wiki/Oral_tradition
was it just broth? the vending machine at my college, had that where it'd have coffee, cocoa, or chicken broth.
> One scholarly study focusing on one city found that 8- to 65-percent of
officials—depending on the official’s rank—received an unofficial income from bribery or
graft

Not wanting to be too picky, that spread of numbers makes the entire sentence significantly less valuable to me. This could be a fat tail, or a long tail. I would expect that a lot of people get little gifts and a few people skim huge gift totals off underlings, or off big players.

Graft is a serious problem. I like the indian proposed approach of giving government players play money which says "this is a highly immoral bribe"

When Xi's time at the helm comes to an end, there are three plausible outcomes in my mind, alongside all the others

1) somebody just carries on the game as-is

2) somebody goes hard on an anti-corruption drive with a return to core values (I was under the impression this is partly what the Shanghai leadership were doing when Bo Xilai was done down, although anti-corruption drives are often a good cover for .. corrupt practices)

3) somebody goes hard on militarism, which is the other Xi plank, and we wind up in a hot war over Taiwan. This will necessarily ignore corruption, because corrupt people can be very efficient at supplying Materiel. For a while.

The thing is with lots of money sloshing around, people look for ways to secure it. Buying tencent and ali shares only gets you so far, and this is the kind of reason there is a lot of russian spoken in Malta and Cyprus. I would expect a lot of money to flow out of Macau and Hong Kong, ie through gambling, or ownership of casinos, which is a traditional method of washing dirty money.

So riddle me this: who, currently at the helm of a large western power, has history of investment in Casinos?
100%

With automated hiring spam and our industry's apparent tenuous grasp of basic integrity with actual HN posts proudly boasting of their apps to help you cheat during interviews using LLMs, several of my friends who assist in hiring at their companies have already returned to "on site" interviews to cut down on the proverbial chaff.

The amusing part is that these are still 100% remote jobs -but the interviews are conducted at shared workspaces.
Are the interviews remote and with webcams off? - Do the North Korean candidates have American accents?
The technology is just a couple years old, and this article is derived from a couple months of evidence.

We can't yet say what the future holds. The nay Sayers who were so confident that LLMs were stochastic parrots are now embarrassingly wrong. This article sounds like that. Whether we are actually at a dead end or not is unknown. Why are people talking with such utter conviction when nobody truly understands what's going internally with LLMs?
If you're interested in it as a tool, you can skip this stuff.

This is more for those curious about if AI is tulip bulbs.

There's unintentional ideological camps on AI, one is mad about a financial/interest bubble*, and it is maintained by content like this every 4 to 8 weeks. (randomly selected representative comment, in this same discussion: https://news.ycombinator.com/item?id=43618256)

* reminiscent, to me, of how I felt about Uber for years and years and years until I sort of moved on when it survived COVID.
Yeah, no shit. Winter is coming again for AI:

https://en.wikipedia.org/wiki/AI_winter

That said, the techniques that have come out of machine-learning research in recent years are indeed powerful, for certain, constrained purposes. That was true of other AI technologies in the past, but we don't call them AI anymore; we call them things like "rules engines". These days, you could take a curren-year press release about AI and use a cloud-to-butt style filter to replace all occurrences of "AI" with "statistics" and see virtually zero drop in factuality (thought a considerable drop in market sizzle).
Yes, the quality of the models is increasing at a slower rate and the race will transition to performance and efficiency.

This is good for self hosters and devs who will be able to run near SOTA models like QwQ locally. I’m near the point where I’m going to cancel my ChatGPT Plus and Claude subscription.

If you’re not already trying to self host, build your own local agents and build your own MCPs/Tools I would encourage you to try it (simple stack: ollama, pydanticAI, fastmcp, QwQ 32B, Llama 3.2 3B). If you don’t have a fancy GPU or M1+ try out QwQ on Groq or Flash 2.0 Lite with the Gemini API, it’s super cheap and fast and they are basically equivalent (if not better) than the ChatGPT you were paying for 16 months ago.
Quantum Radios That Hear It All
“Fun”

Mistakenly started this during Covid and decidedly the wrong vibe for that time period.
I know it, it was a scary period for programmers. The tide is turning. Meatsuits are back in the game.
Good point. Git succeeded in the same way that Unix/Linux succeeded. Yes, it sucks in many ways, but it is flexible and powerful enough to be worth it. Meanwhile, something that is "better" but not flexible, powerful, or hackable is not evolutionarily successful.

In fact, now that I've used the term "evolution", Terran life/DNA functions much the same way. Adaptability trumps perfection every time.
I am running this OK in Ubuntu 2404 :
https://github.com/aaddrick/claude-desktop-debian
Claude Desktop for Debian-based Linux distributions

From Claude I have connected to these MCP servers OK : @modelcontextprotocol/server-filesystem, @executeautomation/playwright-mcp-server.

I have connected to OP's extension (browsermcp.io) from vsCode (and clicked 1 tab button OK), but not from Claude desktop so far (I get Cannot find module 'node:path'; which is require-d in npm/lib/cli.js; tried node 18,20,22; some suggestions here : https://medium.com/@aleksej.gudkov/error-cannot-find-module-... ).
My favourite computer... timing instruction placement on the drum.
Juergen is actually planning to make a batch of kits later this year!
Why not between all of them?
Pocari Sweat is so good. I always grab a bottle anytime we go to the japanese store outside chicago. I assumed it was a fake anime product like the way they always turn pepsi into bepsi or something, but no it's real and it's delicious.
Is this to imply that north Koreans can't be well qualified legitimate candidates?
I suspect it's worse in Japan.
Isn't Idris basically Haskell with DT?
1. AGI is the goal for most foundational AI companies.
2. To "unlock" AGI, we need to provide it with the tools to do everything.
3. With tools for everything or the ability to self-create them, like shown in VisionAgent by LandingAI, can we achieve (almost) AGI with the current AI models?
4. Are role-playing LLMs the future?
Everything is a local minima, given that you can't exhaustively prove otherwise for anything beyond the most trivial domains.
> I hope they expand it to include middle aged women in the community too.

Neighborhood MILFs and Cougars?
One of the comments in the article says: "I don't see how it's not a net negative tech," to which Marcus replies: "That’s my current tentative conclusion, yes."

What is the negative effect I'm not seeing? Bad code? Economic waste in datacenter investment? Wasted effort of researchers who could be solving other problems?

I've been writing software for over a decade, and I’ve never been as productive as I am now. Jumping into a new codebase - even in unfamiliar areas like a React frontend - is so much easier. I’m routinely contributing to frontend projects, which I never did before.

There is some discipline required to avoid the temptation to just push AI-generated code, but otherwise, it works like magic.
LLMs are reasonably competent at surfacing the behaviour of simple programs when the behaviour of those programs is a relatively straightforward structural extension of enough of its training set that it's managed to correlate together.

It's very clear that LLMs lack understanding when you use them for anything remotely sophisticated. I say this as someone who leverages them extensively on a daily basis - mostly for development. They're very powerful tools and I'm grateful for their existence and the force multiplier they represent.

Try to get one to act as a storyteller and the limitations in understanding glare out. You try to goad some creativity and character out of it and it spits out generally insipid recombinations of obvious tropes.

In programming, I use AI strictly as a auto-complete extension. Even in that limited context, the latest models make trivial mistakes in certain circumstances that reveal their lack of understanding. The ones that stand out are the circumstances where the local change to make is very obvious and simple, but the context of the code is something that the ML hasn't seen before.

In those cases, I see them slapping together code that's semantically wrong in the local context, but pattern matches well against the outer context.

It's very clear that the ML doesn't even have a SIMPLE understanding of the language semantics, despite having been trained on presumably multiple billions of lines of code from all sorts of different programming languages.

If you train a human against half a dozen programming languages, you can readily expect by the end of that training that they will, all by themselves, simply through mastering the individual languages, have constructed their own internal generalized models of programming languages as a whole, and would become aware of some semantic generalities. And if I had asked that human to make that same small completion for me, they would have gotten it right. They would have understood that the language semantics are a stronger implicit context compared to the surrounding syntax.

MLs just don't do that. They're very impressive tools, and they are a strong step forward toward some machine model of understanding (sophisticated pattern matching is likely a fundamental prerequisite for understanding), but ascribing understanding to them at this point is jumping the gun. They're not there yet.
"The ‘evidence’ against Abrego Garcia consisted of nothing more than his Chicago Bulls hat and hoodie,” she wrote, “and a vague, uncorroborated allegation from a confidential informant claiming he belonged to MS-13’s ‘Western’ clique in New York — a place he has never lived.” - Judge Xinis

“The United States government has no legal authority to snatch a person who is lawfully present in the United States off the street and remove him from the country without due process,” wrote Judge Stephanie D. Thacker, who was appointed by Mr. Obama. “The government’s contention otherwise, and its argument that the federal courts are powerless to intervene, are unconscionable.”
I don’t think that’s going to work for long. A typical defender/attacker dynamic at play.
Well qualified, sure

Legitimate? Seems unlikely, given the state of affairs in North Korea
GPT-1 to GPT-2: June 2018 to February 2019 = 8 months.

GPT-2 to GPT-3: February 2019 to June 2020 = 16 months.

GPT-3 to GPT-4: June 2020 to March 2023 = 33 months.

Looks like time to get to the next level is doubling. So we can expect GPT-5 sometime June 2028.

Feels like people are being premature about claiming AI winter or that it is somehow a scandal that we don't already have GPT-5.

It's going to take time. We need some more patience in this industry.
Reminds me of this old SNL skit:

https://www.youtube.com/watch?v=pzo73jYl3Ew
Why isn't it the "right" way to do exercise? I do something similar with my "zone 2" cycling workouts, where I throw a movie on Netflix while I mindlessly pedal at a fixed power output. It's a great way to get in some exercise, especially in the Winter months when it's hard/unappealing to get outside.
Neural Graffiti – Liquid Memory Layer for LLMs
It's a 60 meter big rock.

Any debris it can dislodge from the moon will be substantially smaller.
In my experience there is also a fifth possibility: If client is unaware of the bug, would “fixing it” lead to them filing a ticket because the application now behaves differently than expected?

I’ve also encountered several “load bearing bugs” where subsequent integrations/workflows were designed to accommodate the bug. Sometimes this was because the bug was known but couldn’t be fixed at the time, or the developers assumed the program was working correctly and accommodated the bug thinking it was expected behavior.

Therefore fixing the original bug would raise questions about what else needs to be updated as well.
I assumed it was a reference to the nonsensical memes of the AI compute resources causing damage to the environment, using up water and electricity etc.
Let's be clear here; Companies fix bugs. Lots and lots of bugs.

What this article refers to are "some bugs". And while corporate inertia can play a part, bugs get ignored for all kinds of reasons. It's very hard to be generalistic about this.

For example, some bugs aren't fixed because they are very hard to duplicate. When a bug only happens rarely it's hard to debug it, and harder to know that the fix is working.

Others are related to external environmental factors. Thing like AV behaving badly, or interacting with the machine in weird ways.

Sometimes the bug report is so vague, and lacking in detail, that frankly it's useless. I can't count the number of "what have I done wrong" questions which seem to think I'm psychic.

Some bugs are hard. Very hard. Folks have a crack at it, but after some time give up, and move onto other things. Often in these cases the "fix" can be worse than the bug, having various side effects and so on.

In some cases bugs are left in, because to fix them would be to break other things. For example bugs in say the C standard library, if fixed, might break programs that depend on, or work-around, that bug.

This is the tip of the iceberg, there are almost as many reasons as there are bugs outstanding.

And yes, there are very corporate reasons regarding resource allocation that prioritizes some bugs over others, or new features over bugs.
Many asteroids are made of solid metal.

But the moon has handled much bigger collisions without a single fatality!
Why only men? Women don't exist in any important role in their society?
A flagged post mentions this is racist and typical anti immigration rhetoric.

That's not true, there are only two types of North Korean people you'll meet, either those that have defected and escaped North Korea or those that are agents of the state of North Korea.

There are very few defectors in existence and once they escape they're given full South Korean citizenship. This article is not about those people.

The vast majority of North Koreans outside North Korea are not defectors, instead they are controlled state assets. There are no North Korean people outside the country that are free citizens. Every single North Korean authorised to leave the country is working directly for their government often to raise money for the regime, to steal IP, to infiltrate for some nefarious purpose.

Having one of these North Korean active assets in your company is extremely dangerous, your business is now at risk of leaks, theft, or worst something being modified like added vulnerabilities that could be exploited later in cyber attacks.

So no, this article is not racist at all and really has nothing to do with the recent political situation.
It's really a beautiful little show. Quaint, funny, and warm-hearted without being cloying or saccharine. Manages some mild drama and even melodrama without feeling forced or annoying.

I still haven't watched the movie yet.
The comparison to inline styles is understandable but misses Tailwind's real value. Inline styles failed because they were arbitrary, inconsistent, and impossible to scale. Tailwind, by contrast, offers a constrained, standardized set of utilities that enforce consistency, simplify maintenance, and reduce CSS complexity. For example, instead of arbitrary inline styles like `style="padding:7px; margin-left:3px; font-size:14px;"`, Tailwind provides predictable classes like `p-2 ml-1 text-sm`, ensuring uniformity across your app.
it seems like there are lots of national emergencies by presidents of all parties, and lots of them deal with criminal organizations:

https://en.wikipedia.org/wiki/List_of_national_emergencies_i...

is this that different?
He hasn't been charged with any crime though. If he was actually part of a dangerous gang taking orders from the Venezuelan government against the US, he should have been arrested and charged before this. That he has a family of citizens should keep him in the country. It's cruelty to split up families with deportation.
Thanks I appreciate it, re safety violations, yeah some of it was those laws were just badly applied across the board, and it was hard to find a place without some degree of violating the letter of the law, so I think they just got flippant.

Re “source of sanity” I’ve caught myself doing the same with extra work, but sometimes it backfires when the little fun tool you wrote solves the purpose so well that it becomes the company standard and then the politics comes in, I don’t mean the “oh we need this feature super badly that breaks a bunch of other things can you do it for us” that’s just having a successful project. I mean when it starts figuring into political finger pointing and you’re forced to be involved in it all since you are the creator of a tool tangentially involved in some inter office politics. I’ve not figured out how to avoid that yet.
Same, I enjoyed that book beginning to end.
Whoa! Didn't picture myself seeing a dev who worked on Abzu in the wild here on HN--I very much enjoyed that game, my thanks and high fives to your team for your work!

I'm having a kid-in-the-tunnel-meeting-Mean-Joe-Green-in-the-commercial moment, I just started my own game development journey about a week ago so it's neat getting to run across a full-on developer!

To stay on topic, I often thought how cool Abzu would have been with multiplayer but it's a good lesson to me that some features that might be desirable might also be a hindrance to some degree.

Okay, enough fanboying!
I’m in the same boat, I really like the idea of it but the actual use of it eludes me. It’s like there’s a cultural gap, even when they’re talking about the practical applications of the system it’s incomprehensible; I eventually came to the conclusion that they are doing a lot of work to deal with situations that I have never even heard of people being in
This is true for Apple's "ProRAW" that you get if you choose RAW in the iOS camera app. Third party camera apps like Photon can shoot actual RAW raw though, the hardware and OS APIs do support it.