profchemai

7 ms·

1.
How AI Can, and Can't, Cure Cancer(curecancer.ai)
1 points by profchemai 5mo ago|1 comments
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by profchemai 5mo ago
Not the author, as a scientist in a scientific field which often gets used as argument for AGI existence, it's great to know these kinds of efforts. Can't agree more withe their message: "Fundamentally, superintelligence does
3.
by profchemai 8mo ago
Sorry for the caution but this is becoming very common. Lots of red flags for AI-Slop: Zenodo, single author work, lots of jargon, author has not had prior work in the field.
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by profchemai 1y ago
Out of 100 of evals, ARC is a very distinct and unique eval, most frontier models are also visual now, don't see the harm in having this instead of another text eval.
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by profchemai 1y ago
Agree, if anything it's Applied Linear Algebra...but that sounds less exotic.
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by profchemai 1y ago
Once I read "This has been enough to get us to AGI.", credibility took a nose dive. In general it's a nice idea, but the blogpost is very fluffy, especially once it connects it to reasoning, there is serious technical work in
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by profchemai 1y ago
I've read this book, I don't think this was the case. I think the name was made in good-faith. It's "transformer" because it involves transformations of molecules involved in life (reactions, enzymes, metabolism). T
8.
From GnuGo to AlphaGo Zero: A Roadmap for Solving Difficult Problems(moderndescartes.com)
3 points by profchemai 1y ago|0 comments
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by profchemai 1y ago
Could be a good idea, but without any evidence (benchmark/comparisons) it's just a flashy name and graphic. Sounds like another "state" that gets contexualized via a gating mechanism wrt previous vectors.
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by profchemai 1y ago
I love this analogy.
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by profchemai 1y ago
Awesome, I am a fan of their work, just wish they did not use the word biology (which is rooted in living) to describe LLMs, we have enough anthropomorphizing of AI tech.
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by profchemai 2y ago
Criticism feels harsh. Of course models don't know what they don't know. Reporters can have the same biases. They could have worded it better "lowers the probability of hallucinating", but it is correct it helps to guard
13.
The Annotated S4(srush.github.io)
111 points by profchemai 3y ago|12 comments
14.
Finding New Mountains to Climb(moderndescartes.com)
1 points by profchemai 3y ago|0 comments
15.
by profchemai 3y ago
Two big points I see is 1) that normal people are not models, 2) peoples looks will vary widely based on their country of origin. So I could see this working better with normal people and more fields that are not focused on country (ethnici