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Posted by dbreunig 1 day ago

Astra can read and write weights to improve Qwen(rikiyat.github.io)
2928 points | 880 commentspage 14
afpx 1 day ago|
I guess this makes it extremely easy to add vulnerabilities
happyPersonR 1 day ago||
Wonder if it can do this for 3d cad etc ? With enough fine tuning of small models I’m not sure how much they’re distinguishable from experts if you put a router with like jev in front ?
choxi 1 day ago||
Could you use Astra to create specialized models? Like if I want a model that just writes React, could Astra pull out the subnetworks that know how to write React code?
cannonpalms 1 day ago||
I have a hard time believing that this is some sort of emergent behavior and not the result of intentional training to scale AI research.
docheinestages 1 day ago||
I wouldn't be surprised if Anthropic and OpenAI restrict these weight-related queries the same way they limiting cybersecurity queries.
skybrian 1 day ago||
Amazing work. I wonder if it could rewrite an existing neural net to be cleaner and more interpretable?

(When they say "Writing a Go algorithm," they mean the board game, not the language.)

ionwake 20 hours ago||
Sorry to be obtuse, and I lvoe AI, but wasnt this a bug fix on a small model?
closetheloopdev 1 day ago||
This is impressive! It'd be both impressive and scary if Astra could edit a Qwen so that that Qwen itself could do this on another Qwen.
nakedneuron 1 day ago||
This is kinda surprising, but..

"What does it feel like to be a neuronal network?"

Maybe feeding weights directly to a LLM is like interfacing two brains? You get the idea..?

mbowcut2 1 day ago|
This shouldn’t be surprising. Weights are in the training set and are necessarily structured. We should be asking the model to extrapolate on the structure.
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