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Is the Future of AI Local? (tombedor.dev)
submitted 5 months ago by to c/technology@lemmy.ml
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[–] 1 point 5 months ago (1 child)

…Without cash, though?

We’ve had an obvious, somewhat proven path to uber fast local inference (bitnet), but no one has taken it. No one is willing to roll the dice with a few multi-million dollar training runs, apparently, and this is true of dozens of other incredible papers.

It seems like organization around local model tinkering is hanging by a thread, too. Per usual, client business will barely lift a finger to support it.

So while I’m a local acolyte, through and through, I’m a bit… disillusioned. It doesn’t feel like anyone is coming to save us.

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  • [–] [S] 4 points 5 months ago

    Seems to me there's a huge amount of incentive for Chinese companies to pursue these things since China isn't investing in a massive data centre build outs the way the US is. And their chips are still behind. Another major application is in robotics where on device resources are inherently limited. The only path forward there currently is by making the software side more efficient. It also looks like Chinese companies are embracing the whole open weights approach and treating models as shared infrastructure rather than something to be monetized directly.

    And local models have been improving at a really fast pace in my opinion. Stuff like Qwen 3.5 is not even comparable to the best models you could run locally a year ago.

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