I’m not getting into angels and pinheads, but modern ML has the ability to perform “fuzzy analysis,” and interpret results in a far more flexible manner, than ever before.
They may not be able to match an MIT Ph.D, at analyzing experimental feedback, but they can probably match a lot of research assistants.
It’s like having a billion RAs, all running experiments, and triaging the results. I understand that is how they have made such good progress on medicines, with AI.
> “I have not failed. I've just found 10,000 ways that won't work.”
The CPU/GPU is to an LLM kinda like axons and dendrites are to the human brain: just a low-level implementation detail. The main crux of an LLM is what happens at a higher level.
The machine-level instructions being executed are just matrix multiplications. Billions of them. The complexity of LLM behavior is emergent from that.
ChrisMarshallNY|9 months ago
They may not be able to match an MIT Ph.D, at analyzing experimental feedback, but they can probably match a lot of research assistants.
It’s like having a billion RAs, all running experiments, and triaging the results. I understand that is how they have made such good progress on medicines, with AI.
> “I have not failed. I've just found 10,000 ways that won't work.”
-Attributed to Thomas Edison
kjkjadksj|9 months ago
Timwi|9 months ago
The machine-level instructions being executed are just matrix multiplications. Billions of them. The complexity of LLM behavior is emergent from that.