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submitted 3 days ago by zdhzm2pgp@lemmy.ml to c/technology@lemmy.ml
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[-] PlutoniumAcid@lemmy.world 21 points 2 days ago

So if the Chinese version is so efficient, and is open source, then couldn't openAI and anthropic run the same on their huge hardware and get enormous capacity out of it?

[-] Jhex@lemmy.world 10 points 2 days ago

Not necessarily... if I gave you my "faster car" for you to run on your private 7 lane highway, you can definitely squeeze every last bit of the speed the car gives, but no more.

DeepSeek works as intended on 1% of the hardware the others allegedly "require" (allegedly, remember this is all a super hype bubble)... if you run it on super powerful machines, it will perform nicer but only to a certain extend... it will not suddenly develop more/better qualities just because the hardware it runs on is better

[-] merari42@lemmy.world 2 points 2 days ago

Didn't deepseek solve some of the data wall problems by creating good chain of thought data with an intermediate RL model. That approach should work with the tried and tested scaling laws just using much more compute.

[-] PlutoniumAcid@lemmy.world 4 points 2 days ago

This makes sense, but it would still allow a hundred times more people to use the model without running into limits, no?

[-] supersquirrel@sopuli.xyz 3 points 2 days ago

hence certain tech grifters going "oh shitt...."

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this post was submitted on 27 Jan 2025
657 points (97.8% liked)

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