this post was submitted on 13 Sep 2026

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So what I'm reading is that they're either making a gentleman's agreement to let Chinese labs run circles around them or the easy gains are over and they're now running into a wall (thelemmy.club)

submitted 1 day ago by yogthos@lemmy.ml to c/technology@lemmy.ml

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[–] krimson@lemmy.world 11 points 1 day ago (5 children)

None of them will slow down though. Because they all want to be ahead of the competition. I can also only imagine intelligence agencies are going full send with AI for better or for worse. And we all know it is the latter.

Fun times!

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[–] yogthos@lemmy.ml [S] 10 points 21 hours ago (4 children)

There is absolutely no reason to expect that you can scale LLMs indefinitely.

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[–] krimson@lemmy.world 3 points 18 hours ago (3 children)

Not now, but I'd expect LLMs to be much more efficient in a couple of years.

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[–] uriel238@lemmy.blahaj.zone 2 points 11 hours ago (1 child)

I expect more efficient LLMs to come out of China, who has turned to the AI-as-software model (contrast the AI-as-service model in the US).

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[–] sudoer777@lemmy.ml 1 point 9 hours ago

They already are, DeepSeek/GLM/Qwen are great models and can run on 2 DGX Sparks

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[–] yogthos@lemmy.ml [S] 3 points 15 hours ago

I expect so as well, and my prediction is that we'll have LLMs that are roughly as capable as the current frontier that can be run locally within a year or two. At that point, it's just going to be good enough for vast majority of tasks most people need to do.

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