Comment by nelox
5 hours ago
That is the very reason the open source models exist. Prestige and soft power to influence interest away from American models and hopefully slow down their progress.
5 hours ago
That is the very reason the open source models exist. Prestige and soft power to influence interest away from American models and hopefully slow down their progress.
DeepSeek and other Chinese model makers are massively accelerating progress in AI not slowing it down. They're the only ones who still come up with real technical innovations while the proprietary model makers are stagnating.
I'm as happy to see cheap open weight models any anyone is, and I'm in Europe and certainly not cheering the US on, but that's a bunch of unfounded hyperbole you just said.
You should read the research papers that come out with Deepseek releases. There is a reason why the first Deepseek release briefly caused existential panic.
1 reply →
That is a petty big assumption (aka bullshit) unless you have direct insight the inner workings of the big US labs. Just because it isn’t published doesn’t mean that innovation is not happening.
That's an unfalsifiable assertion with no evidence to support it, while all the visible evidence we do have points to stagnation and merely incremental pushes among the big proprietary model makers. Even Claude Mythos, which was 'teased' to the public but not released, is reportedly mostly a scaled-up model that takes massive compute resources to run (and lengthy agentic loops to achieve its reported results in computer security). The polar opposite to what the Chinese labs are releasing now.
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Can you name some tangible AI idea that came out of Chinese labs?
I can name thousands that came out western universities.
I see a lot of rhetoric that only the Chinese labs are contributing to AI while companies like Google and Microsoft are still pulishing their research.
Unfortunately the domain of scientific papers is cluttered with AI slop but still occasional serious paper that i find are from western labs particularly Google Research or Microsoft Research
Any of DeepSeek's recent papers which are more about efficiency and that's how their inference costs can be so low.
Oh please https://github.com/deepseek-ai