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Showing 641–660 of 3684 matching discussions
Anthropic
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We must pace the frontier
Hmm, what a coincidence both OpenAI and Anthropic suggest to slow down. I think the signal it sends in plain English sounds something like: We burn too much money atm and shit is about to hit the fan with all that compute capacity starting to rapidly come online 2027, we are not seeing enough demand to justify all of those data centers we already agreed to pay for, let's do a damage control and lower expectation of the plebs.
Show HN: Like LeetCode, but multi-file and multi-step
On LeetCode you write one function, it passes, and you're done. Most AI labs such as Anthropic and OpenAI, as well as some big tech companies such as Meta, Snowflake and Databricks, don't stop in one function and instead ask multi-step questions that are closer to real-world problems. Say you're building a key-value store. Step 1 is get, set, delete, count. Once your tests pass, Step 2 unlocks: expiring keys. Then nested transactions. Then atomic batches. I built this because I couldn't find a good place to practice for multi-step, multi-file questions. The questions are based on ones people have reported from those loops. Check it out at https://loopprep.dev . There are 24 questions, 3 free, and no signup to try them. Happy to answer questions.
Anthropic
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Nvidia dismisses "circular financing", says every $1 it invests brings back $100
> Your and my relation with our consumer lenders has nothing to do with Nvidia's relationship with OpenAI, Anthropic and SpaceXAIwhateverthefuck. Yes, but your original comment said that Apple's financing "isn't circular financing in a problematic way". It might not be the classic way of "circular" financing but it is highly problematic. And I'd even go as far as to saying that, yes it is a form of circular financing, because Apple hands you money to spend that money on a product they make at much less cost than it costs you on paper and, that's the more important thing, serves as an entrypoint into their highly effective walled garden called App Store.
Cohere
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Who gets to define the rules for AI?
I believe this is a reaction to Dario Amodei's essay yesterday, "We Must Pace the Frontier": https://news.ycombinator.com/item?id=49672510 Cohere's disagreement seems mostly about who makes the rules. From the essay (which does seem significantly written by AI, sadly): > The rules around AI are getting written either way. What's still open is whether they get written by a group anyone can join and with evidence anyone can check, or by a handful of companies in a room with the door shut. Of course none of the AI companies will suggest that they should be accountable for the illegal actions taken by agents they host, but I feel like that could be a very effective "pacing mechanism", and addresses the concerns brought up by this essay about fairness and transparency.
Anthropic
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"Chilling" warning or overreaction? AI bioweapons report divides experts
> Are scientists in some nations outside the United States already trying to use artificial intelligence (AI) to design potentially deadly bioweapons? The AI company Anthropic raised that worrisome possibility with a report this week describing how it recently discovered five attempts at using its Claude software for pathogens research with the potential to cause harm. Implying, they are allowing the same purpose within the United States, or such actions within the United States would be considered acceptable.
Anthropic
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David Sacks: OpenAI and Anthropic Don't Need Regulations to Pace Frontier Models
None of those are frontier models, nor could they have been. E.g. DeepSeek's "$5 million" included piggybacking off OpenAI/Anthropic's hundreds of millions/billions by using distillation.
Anthropic
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Garry Tan wants US open-weight AI labs to 'distill' frontier models, too
Well Trump is signalling that he is happy to let AI rip. Bernie wants there to be an extreme shutdown of AI immediately. So lets say you had 2 billion dollars of slush and worked for OpenAI and anthropic. You would immediately start to grease the paws of republicans to support just enough regulation to slow your competitors. And you would start to grease the paws of democrats to push for a "Moderate centrist" position away from Bernie, leading towards Regulation. Ice Cream Vendor problem leads you straight into both sides supporting the same moderate regulation that OpenAI/Anthropic will write for them. Keep in mind its going to be a noisy election cycle with Donald Trumps idiot successor vs whatever goofball the democrats vomit up arguing about tariffs, trade partners, healthcare, I…
Anthropic
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“Chilling” warning or overreaction? AI bioweapons report divides experts
How come these accusations do not include the identity of the accused? Don’t they have a right to know they are being accused of attempting to develop bioweapons, and are now in USGOV lists? Don’t they deserve a chance to explain their intentions? How come Anthropic doesn’t have a duty to warn the people in that country and neighboring countries that someone over there is developing bioweapons? Maybe it’s an authoritarian regime, planning to use it on innocent civilians? And what exact purpose is served by hiding this information? Some variation of “if they don’t know we don’t know, we have an advantage?” Don’t those parties now know Anthropic was on to them? Do they only have access to Claude but not to Anthropic’s blog? It’s because none of these are serious reports, and their authors a…
Anthropic
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AI Robots – When will they be in our homes
I love the idea of robot helpers but I don't love the idea of putting cameras all over my house and having ad companies surveil my intimate space. I do not think people are even recognizing the security ramifications of these devices. A picture of your key is enough to replicate it[0], and yet we're just going to put these devices everywhere? LLMs have been pretty easy to jailbreak too, you think thieves aren't just going to get these robots to open the doors for them? Or what about governments? Even if you trust your government now, will you trust them with data where they can literally see everything you do and say? That's well beyond 1984. Or just what about what we see from top labs like OpenAI, Anthropic, or even Google and Apple? These trillion dollar companies are not showing thems…
Replicate
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AI Robots – When will they be in our homes
I love the idea of robot helpers but I don't love the idea of putting cameras all over my house and having ad companies surveil my intimate space. I do not think people are even recognizing the security ramifications of these devices. A picture of your key is enough to replicate it[0], and yet we're just going to put these devices everywhere? LLMs have been pretty easy to jailbreak too, you think thieves aren't just going to get these robots to open the doors for them? Or what about governments? Even if you trust your government now, will you trust them with data where they can literally see everything you do and say? That's well beyond 1984. Or just what about what we see from top labs like OpenAI, Anthropic, or even Google and Apple? These trillion dollar companies are not showing thems…
Anthropic
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Garry Tan wants US open-weight AI labs to 'distill' frontier models, too
The numbers in the article are forecasts but let’s take them as real. That’s $10bn of revenue, the majority from enterprise customers, let’s say 75% from enterprise API usage: $7.5 billion. If the margin on inference is 80% that means of the $7.5bn in enterprise revenue they’re spending $1.5bn on compute. Yet we know that they actually spend over $5bn per month on compute, which includes the $1.25bn per month to SpaceX. If $7.5bn is their enterprise revenue and it costs just $1.5bn to generate, that leaves $3.5bn in compute costs to account for. Dario previously said that training costs less than inference so training can’t explain it. If subscriptions aren’t the majority of usage and aren’t subsidized, where is the money going? Anthropic don’t spend money on data centre build out so that…
Anthropic
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Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher
You’d think that, I thought that… but then I realized I’m just kidding myself thinking its output makes sense. It doesn’t. It doesn’t. Sometimes it might as well just speak tongues. In other words, it ain’t you. It’s the model. It’s just genuinely bad. Then you switch to ChatGPTs lineup and realize how things can actually be better. It took about a week to really get the feel for how to use their models… then I basically switched. I’ll check in every now and then when they actually make a deal about how opus “now makes sense”. But honestly I’m half convinced Anthropic actually prefers the output of opus 5. I dunno why, but how else could you explain how such a thing got shipped? I mean somebody in the pipeline had to say “dude this model doesn’t make sense, you think we should fix it?” Ri…
Replicate
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CUDA for AMD on Windows
stupid question - what exactly is CUDA? - is it patented hardware tech that AMD cannot replicate? - is it a library that ll also work on AMD while it currently works on nvidia - can AMD cook an equivalent of CUDA, if so why havent they done it?
Replicate
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Garry Tan wants US open-weight AI labs to 'distill' frontier models, too
I think it’s laughable to think OpenAI has some special sauce that can’t be replicated easily. They simply have asymmetric access to compute and the dollars to power it. Thats the only moat here. OpenAI doesn’t even know how their model works. Nobody knows how LLMs work. So it’s not like it’s technically difficult to replicate, just costly.
Anthropic
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Garry Tan wants US open-weight AI labs to 'distill' frontier models, too
How can we prove intent? I’m sure a clever actor can disguise their prompt and simply claim the LLM suggested such and such on its own. It’s not like Anthropic or OpenAI have the faintest idea how their models actually work.
Replicate
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Ask HN: What are you working on? (September 2026)
That takes me back. I made an unreleased Android dual-N-back game in the late 2000’s, in Scala no less. I got a little bummed when the big claims of the N back training failed to be replicated though.
Anthropic
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We must pace the frontier
> But the Chinese are doing just that? Completely and totally irrelevant. Has nothing to do with the fact that you are not obligated to others' work. > Legal != moral Sure, you're right. I guess the bigger issue is that the GP's post calls out Anthropic for following along in legal (but what we both believe to be immoral) mass copyright infringement that OpenAI started, while absolving them of the exact same thing. It's a shill account.
Cohere
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AI is not a normal technology
Coherence is a given... What we lose over decades is alignment.
Anthropic
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The contagion of fear
> > AI executes on physical systems that have been engineered with human accountability and control. Intelligence does not exempt a system from the realities of the physical world! > For someone making a point about responsibility, this is ridiculously irresponsible. It's not just irresponsible, it's false. Russia killed 3 Ukrainian civilians with a drone where the targeting was completely autonomous by AI running on an Nvidia chip: https://www.nytimes.com/2026/08/24/world/europe/russia-drone... . The Pentagon tried to completely blacklist Anthropic because Anthropic refused to allow autonomous kills without a human in the loop. If you can't see how lots of military leaders want to put more lethal control into AI at this point I think you h…
Cohere
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AI is not a normal technology
What happens if there are no more humans in the loop, and instead of building on human work, models have to build on their own work? Would we get stuck in a local maxima? When AI labs talk about “long-horizon tasks”, they mean tasks on the order of a few days. But what about keeping coherence across decades, like humans can? Models are not trained or tested on the ability to do that, and it seems unlikely that capability would naturally exist.
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