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A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
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Showing 2241–2260 of 3684 matching discussions
Anthropic
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When Genius Fails: The Intellectual Arrogance of the AI Labs
Not FTX the exchange, he was working at the FTX Future Fund which is part of the philanthropic foundation SBF created as part of his effective altruism commitment (the same SBF who also provided $500M to help Anthropic get started btw, just a few weeks before going bust). As a side note, it’s pretty insane how many people of the AI industry have a relationship to effective altruism
OpenAI
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Why Wall Street is ignoring big tech's debt [video]
I agree with you. Look at railroads, cars, computers, and other technologies that really did end up being world-changing. How many of the original companies are still around? Sometimes I feel like OpenAI will end up like Fairchild Semiconductor: an early innovator that quickly became an historical footnote.
OpenAI
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Why does Opus 5 feel worse to work with?
> I was surprised to find that OpenAI Sol is much much nicer to work with than Opus 5 or Fable at the moment. Why were you surprised?
Anthropic
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Why does Opus 5 feel worse to work with?
The reasons thinking traces are pretty much gone is, supposedly, to prevent distillation. Whether that is actually true or just an excuse is up in the air (because I at least am not going to trust Anthropics claims on why they do it).
Cohere
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Why does Opus 5 feel worse to work with?
>it feels like reading an impression of a literature book by a high school English class’s most overconfident student who’s only ever read LinkedIn-speak. Claude is very much the “stupid person’s idea of an intelligent person”[0] which, I suspect, is why it is so popular. It certainly explains why half the internet is huge chunks of Claude-authored gibberish copied and pasted and published. If people didn’t think it sounded clever they wouldn’t put their name behind its ramblings - but very few of them seem to realise that a lot of people see straight through the bullshit and know instantly that they didn’t write it themselves. But equally, a lot of people can’t tell, and read whatever it is and think “that person must be clever!” So you have people incapable of coherently expressing t…
Cohere
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When Genius Fails: The Intellectual Arrogance of the AI Labs
Yes… and some folks gave him money. Per reporting from the NY Times he was broadly laughed out of the room with “East Coast” money which has a massive amount to invest but tends to hold a higher standard on where it goes. Per that reporting, the combination of a lack of experience and inability to give coherent answers to basic questions meant those folks stayed far away. Regardless he was still able to build a giant pile of cash before alighting it on fire.
Anthropic
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Grok 4.6
I've been hearing this myth since ChatGPT came out - that the labs have superAI that they're just slowly trickling out as competition forces them to. Everyone in silicon valley has a cousin who's supposedly seen Anthropic's new unreleased model that changes everything forever. I distinctly recall sitting in a work meeting where a coworker was insisting GPT4 was AGI that anthropic was too scared to release. It's amazing to me that this playbook is still working at least somewhat on folks.
Cohere
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When Genius Fails: The Intellectual Arrogance of the AI Labs
Degree is the entire problem. I mean, four years back I was thinking: I don't know how long it will take, but Hollywood is obviously screwed the moment something like Stable Diffusion gets temporal coherency and stops randomly adding limbs, because the energy cost per image on my laptop multiplied by how many frames in a film and $0.1/kWh, is ballpark the same as the cost of a cinema ticket. Right now temporal coherency is still quite limited, and the models still do enough daft things you can't easily take the first version even when cutting every 5 seconds. I still have no idea how far we are from something that would be good enough to render a Hollywood film. Well, a Hollywood that isn't a complete disaster. Writing it is a separate problem, my experiments there show gradual impro…
OpenAI
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When Genius Fails: The Intellectual Arrogance of the AI Labs
>> Wait is this real? Did a random 25yo get 45B under management because he got some interviews after getting fired from OpenAI? They though they would laugh all the way to the bank...but that laugh was already the problem... "We Need To Talk About Leopold" - https://youtu.be/rE75WvOtcu8
OpenAI
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GLM-5.3: Frontier coding with emergent cyber capabilities
Fable 5 is just over two months old. For normal software it would be as you say, but LLM progress is so ridiculously fast that things go from "bleeding edge" to "eh, you'll do" in about that timeframe, and "eh, you'll do" to "why even bother with this old rubbish?" in the same again. Or, from a different perspective, we can expect some new frontier model from Anthropic in a week or two, and from OpenAI in a month or so.
OpenAI
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When Genius Fails: The Intellectual Arrogance of the AI Labs
Before OpenAI / situational-awareness he made a lot of money on societal-shift type investments and shorts during the lead up to Covid economic impacts. His "main thing" is success in calling economic impacts of undervalued large shifts, and the premise of the fund is basically that the same thing is occurring around AI, where he also has specific subject matter expertise.
OpenAI
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When Genius Fails: The Intellectual Arrogance of the AI Labs
And before OpenAI, he was at FTX.
Cohere
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Every Fucking Website
Yea , thank u , I really despite those websites of current web, much JS, colors, much images and animations with mouse, and million fonts , rounded buttons and everything is rounded and "modern" and slow and bloated why cant have we simple websites, small coherent nice color palette to just read and know the needed info ? hackernews is extremely good example suckless: https://suckless.org/sucks/web/ is another brilliant example
OpenAI
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When Genius Fails: The Intellectual Arrogance of the AI Labs
Well it's not a random 25 year old. He became valedictorian at Columbia and graduated at 19. He was then briefly a part of OpenAI's superalignment team. After he got fired, he wrote a 165 page thesis on AI in early 2024 that all ended up becoming true in 2026; you can read it for yourself and be the judge: https://situational-awareness.ai That's what he based the fund on. It's generational foresight not available to 99.999999999999999999% of 25 year olds. I want to get ahead of the default cynicism and "oh it's just dumb luck woe is me" aspect of HN.
OpenAI
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Show HN: APIMart: Discounted AI API Aggregator for GPT-5, Sora 2
Is this one of those proxies that route to a pool of coding plans? That's the only way to get lower rates than the official Anthropic/OpenAI APIs.
OpenAI
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When Genius Fails: The Intellectual Arrogance of the AI Labs
Wait is this real? Did a random 25yo get 45B under management because he got some interviews after getting fired from OpenAI? I missed all of this and it almost seems like performance art to me.
OpenAI
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DeepSeek peak/off-peak pricing update
The two biggest providers deepseek compete with (OpenAI and Anthropic) aren’t in the stock market.
OpenAI
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GLM-5.3: Frontier coding with emergent cyber capabilities
> This makes perfect sense, but that conflicts with the impression put forward by Anthropic and OpenAI (in particular) that they alone occupy 'frontier model' spots. Not necessarily. Even near the frontier, we don't really have a total ordering of capabilities, but a partial order. And even frontier models make plenty of mistakes. Combined with the randomness inherent in searching large codebases for vulnerabilities or correctness issues, it is entirely plausible that even much weaker models (and GLM-5.2 isn't even weak) can stumble upon issues that stronger models missed. My current hypothesis – for which I have only limited evidence, unfortunately – is that it is better to have multiple reasonably powerful (but not necessarily frontier) models looking for issues than just one very po…
OpenAI
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GLM-5.3: Frontier coding with emergent cyber capabilities
OpenAI was bragging the other day about how HLE on Cerebras only took 11 hours. But you're saying if they just spun up a separate cheapo VM for each task, it would have finished faster and cheaper?
Cohere
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GLM-5.3: Frontier coding with emergent cyber capabilities
This is a coherent explanation for why federal model censorship has started with cyber capabilities. But this GLM model release is an in-your-face challenge to that policy. They now have to either set models free or impose a censorship regime that will put anyone not under it at an advantage. Or muddle along in the middle as usual.
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