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  • vblanco 1 hours

    380.000 concurrent sandboxes on 160 Epyc based server nodes. Crazy stuff

  • doc_ick 41 minutes

    Will admit that I haven’t read it yet, just saw the crazy number of authors and think this may compete for one of the papers with the most authors.

    justinnk 10 minutes

    This one [0] about the Higgs boson is hard to beat. Pages 25-32 are just full of around 5150 „authors“, pages 33-37 are their affilliations.

    [0] https://arxiv.org/abs/1207.7214

  • swingboy 1 hours

    Is there a lab more innovative than DeepSeek? Imagine if they had the same compute resources that Anthropic and OpenAI have.

    impulser_ 1 hours

    Short term they might have less compute, but long term they will most definitely have more compute. They don't have to worry about energy, they don't have to worry about people blocking them building data centers the only thing stopping them is there no Chinese manufacturer that can produce a chip as good as Nvidia but I would bet that solved in a year or so.

    ijidak 47 minutes

    "Necessity is the mother of invention."

    Not sure they'd be the same without the constraints.

    SmartestUnknown 49 minutes

    Just because other companies don't write papers about what they do doesn't mean they aren't innovative...

    doc_ick 40 minutes

    Sure, but we’ll never know what they do or if it is innovate because we won’t know what they do.

    ProphetOfParado 1 hours

    Food for thought: Constraints are the source of creativity.

    conception 1 hours

    Yeah if they had the resources of an OpenAI or anthropic they’d be OpenAI or Anthropic. Scrappy underdogs have to be nimble and innovative.

    mirekrusin 54 minutes

    They are as “underdog” as Linux is to Windows.

    rozim 1 hours

    Possibly relevant: 突破技术壁垒, "break the technical barricade" -> overcome an obstacle through innovation (in this case, sub SOTA GPUs at least).

    Native Chinese speakers to confirm....

    michaellee8 53 minutes

    your translation is correct, I would say Chinese labs may be able to figure out the current capability of latest frontier models in 3-6 months, but then Anthropic and OpenAI may have already been ASI in that time already. China's main problem is still lack of (good) chips, and that is a hardware issue that is unlikely to be solved for a while. and more effort for efficiency means less effort for actual capability improvements. we have already seen what anthropic can do if they focus on efficiency with opus 5.5