this post was submitted on 28 Jan 2025
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[–] [email protected] 69 points 2 days ago (1 children)

deepseek is not stolen tech, it was trained using novel innovations that western companies were not doing

[–] [email protected] 9 points 2 days ago (4 children)

I thought the innovative part was using more efficient code, not what it’s trained on.

[–] [email protected] 56 points 2 days ago* (last edited 2 days ago) (1 children)

https://arxiv.org/abs/2405.20304 they invented their own reinforcement learning framework called Group Relative Policy Optimization

EDIT: deepseek publicly released and published the model and methods to the global community, and there is now an open effort by researchers to reproduce them https://github.com/huggingface/open-r1 it is like the opposite of stealing

[–] [email protected] 6 points 2 days ago

Yeah the original comment in this chain more describes US Telcos and shit, not this particular instance.

[–] [email protected] 3 points 2 days ago

thats capitalisms dark secret. Its only innovative when it has to be.

[–] [email protected] 3 points 2 days ago

@deranger @theunknownmuncher the US trying to stifle Chinese progress/stop chip exports has had exactly what anyone could see. China is making leaps and bounds in all sorts of tech areas, innovating around obstacles

[–] [email protected] 1 points 1 day ago* (last edited 1 day ago)

That's what they said basically.

Like. You can compile better or more diverse datasets to train a model on. But you can also have better code training on the same dataset.

The model is what the code poops out after its eaten the dataset I haven't read the paper so no idea if the better training had to do with some super unique spin on their dataset but I'm assuming its better code.