Attributed mentions
2835
Across all collected Hacker News results
Discussion intelligence
A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
Attributed mentions
2835
Across all collected Hacker News results
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13
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Showing 2501–2520 of 2835 matching discussions
> Frontier AI feels like its full of people who are brilliant at making models, but when it comes to scale and practicality, they just leave it to whoever sets up infrastructure to worry about. The idea that people in 10+ frontier labs (OpenAI, Anthropic, Google, Alibaba, Z.ai, DeepSeek, xAI, Amazon, etc) in a trillion dollars industry are all dumb is frankly, hilarious.
Anthropic and OpenAI have proven themselves to be aspiring monopolists through their positions and actions. Why would you want to share your research with them?
I generally like it still. It describes their failure modes pretty well, and in a way that most people already recognize. They're incomparably more complex, of course, but they are not intelligent and they are very much repeating what they've seen without any capability for factual accuracy. Practically every other attempt at describing them leans too technical and unfamiliar (stochastic parrot) or too anthropomorphic (even describing them as "not like a human" gets people thinking in terms of humans, like how if I mention that your tongue is in your mouth all the time, using up almost all of the room, feeling your teeth and tasting itself, you're now uncomfortably aware of it and the numerous bumps on the surface). You need to work from a reference that has both a shared understanding, a…
> That and avoiding openAI and Anthropic copying our results and leaving us with nothing to show for six months of work. Isn't the POINT of publishing research because you want others to copy it?
> I doubt that the government would try to hinder any western AI companies. Compare and contrast https://www.anthropic.com/news/fable-mythos-access
Since anthropic gives you 35x and openai 70x of the api rate in tokens, you could surely call that ROI just not the type they want for their IPO
I've been at two startups that have done genuine world first fundamental research. The first tried to publish novel results for 3 years in tier 1 journals before finally doing a preprint and telling the tier one publishers to jump in a fire. The second, and ongoing, isn't publishing anything because of my experience with the first. That and avoiding openAI and Anthropic copying our results and leaving us with nothing to show for six months of work. The papers only come with the pitch deck.
You'd have to ask Anthropic or OpenAI, but I've seen probably more than a dozen reports of it happening. You also risk getting your account banned for discussing certain risky things in chemistry, biochemistry, weapons, conflict, terrorism/history of guerilla warfare. I imagine that within Anthropic and OpenAI there is a huge data set of "big no no!" topics that they maintain and continually add to. For alignment training and for more blunt purposes. For instance ChatGPT 3.5 could be instructed, as satire, to write a press release in the style of the English language propganda arm of ISIS but they put a stop to that fairly quick.
OpenAI and Anthropic are identified in the article and study as top publishers of AI research papers.
John Jumper and the rest of the AlphaFold core team left for Anthropic a while ago. And of course Hassabis is handling larger AI efforts at Google. So it was only a matter of time before the effort fell apart.
They do: the judge in the Anthropic case said that destroying them means that the text is being transferred, and so therefore can be fair use. > "The print original was destroyed. One replaced the other." (I believe the reasoning is that the author is not being financially disadvantaged by more copies of their book existing). So the current law prefers them to destroy.
Existing project and as usual, a few issues mashed together in one mostly coherent plan. The shorter Kimi sessions I mentioned were singular features, there 256k would be wholly adequate. A greenfield project would probably allow at least 2x fewer tokens to be used in most of those long tasks, but I was mostly after consistency and bug fixes along the way as needed.
> OpenAI is at the top of the chart in the study. A distinction should be made between the old nonprofit OpenAI and the current organization. They don't publish technical research anymore.
> Perhaps I'm imagining it but the entire industry was build on public research There is some excellent publicly-funded research in there, but pivotal papers like Attention Is All You Need and the numerous pivotal OpenAI publications were privately funded. OpenAI is at the top of the chart in the study. I think you're bringing some assumptions into this conversation that aren't supported by the evidence.
Do we really believe marketing copy from Anthropic re: RSI considering their recent model releases seem to be markedly regressing in real world performance vs. past models?
The article is vague about the companies in the paper, for some reason. In the paper, OpenAI is at the top of the chart for cumulative citations. MEGVII, Hugging Face, Waymo, Momenta, Preferred Netowkrs, Anthropic, Owkin, and Databricks, and Aibee follow (in that order). Yes, that is citations, not publications, but they explain that they're trying to use that as a proxy for significance, albeit an imperfect one. Companies like Google aren't included because they aren't unicorn startups.
The article is vague about the companies in the paper, for some reason. In the paper, OpenAI is at the top of the chart for cumulative citations. MEGVII, Hugging Face, Waymo, Momenta, Preferred Netowkrs, Anthropic, Owkin, and Databricks, and Aibee follow (in that order). Yes, that is citations, not publications, but they explain that they're trying to use that as a proxy for significance, albeit an imperfect one. Companies like Google aren't included because they aren't unicorn startups.
The article is vague about the companies in the paper, for some reason. In the paper, OpenAI is at the top of the chart for cumulative citations. MEGVII, Hugging Face, Waymo, Momenta, Preferred Netowkrs, Anthropic, Owkin, and Databricks, and Aibee follow (in that order). Yes, that is citations, not publications, but they explain that they're trying to use that as a proxy for significance, albeit an imperfect one. Companies like Google aren't included because they aren't unicorn startups.
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