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AlphaGenome: AI for better understanding the genome

deepmind.google

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Re: AlphaGenome: AI for better understanding the genome

#141

Post by LarsDu88 »

Ameo wrote: post #131
LarsDu88 wrote: post #110

You know the corporate screws are coming down hard, when the model (which can be run off a single A100) doesn't get a code release or a weight release, but instead sits behind an API, and the authors say fuck it and copy-paste the entirety of the model code in pseudocode on page 31 of the white paper. Please Google/Demis/Sergei, just release the darn weights. This thing ain't gonna be curing cancer sitting behind an…

> The model source code and weights will also be provided upon final publication. Page 59 from the preprint[1] Seems like they do intend to publish the weights actually [1]: https://storage.googleapis.com/deepmind-media/papers/alphage...

Thank you for this. I did not notice this at the end of the paper.

Re: AlphaGenome: AI for better understanding the genome

#142

Post by LarsDu88 »

LarsDu88 wrote: post #110

You know the corporate screws are coming down hard, when the model (which can be run off a single A100) doesn't get a code release or a weight release, but instead sits behind an API, and the authors say fuck it and copy-paste the entirety of the model code in pseudocode on page 31 of the white paper. Please Google/Demis/Sergei, just release the darn weights. This thing ain't gonna be curing cancer sitting behind an…

EDIT: I should have read the paper more thoroughly and been more kind. On page 59, they mention there will be a source and code release. Thank you Deepmind :)

Re: AlphaGenome: AI for better understanding the genome

#143

Post by xcodevn »

LarsDu88 wrote: post #110

You know the corporate screws are coming down hard, when the model (which can be run off a single A100) doesn't get a code release or a weight release, but instead sits behind an API, and the authors say fuck it and copy-paste the entirety of the model code in pseudocode on page 31 of the white paper. Please Google/Demis/Sergei, just release the darn weights. This thing ain't gonna be curing cancer sitting behind an…

> Once the model is fully released, scientists will be able to adapt and fine-tune it on their own datasets to better tackle their unique research questions.

This is in the press release, so they are going to release the weights.

Re: AlphaGenome: AI for better understanding the genome

#146

Post by nimchimpsky »

wrsh07 wrote: post #130
Onawa wrote: post #128

Earlier quoted context omitted.

I think that from a research/academic view of the landscape, building off a mutable API is much less preferred than building of a set of open weights. It would be even better if we had the training data, along with all code and open weights. However, I would take open weights over almost anything else in the current landscape.

If it came to light that somebody found a way to use this API in a way that is harmful to society would you be happy that Google could revoke access? Or unhappy? This is a real tradeoff of freedom vs _. I agree that I'm not always a fan of Google being the one in control, but I'm much happier that they are even releasing an API. That's not something they did for go! (Of course there was a book written so someone got…

[dead]

Re: AlphaGenome: AI for better understanding the genome

#147

Post by fainpul »

bglazer wrote: post #117
RivieraKid wrote: post #74

I wish there's some breakthrough in cell simulation that would allow us to create simulations that are similarly useful to molecular dynamics but feasible on modern supercomputers. Not being able to see what's happening inside cells seems like the main blocker to biological research.

Molecular dynamics describes very short, very small dynamics, like on the scale of nanoseconds and angstroms (.1nm) What you’re describing is more like whole cell simulation. Whole cells are thousands of times larger than a protein and cellular processes can take days to finish. Cells contain millions of individual proteins. So that means that we just can’t simulate all the individual proteins, it’s way too costly an…

> A single mutated letter in DNA in a single cell can cause a tumor that kills a blue whale.

Side note: whales rarely get cancer.

https://en.wikipedia.org/wiki/Peto's_paradox

https://www.youtube.com/watch?v=1AElONvi9WQ

Re: AlphaGenome: AI for better understanding the genome

#149

Post by eleveriven »

RivieraKid wrote: post #74

I wish there's some breakthrough in cell simulation that would allow us to create simulations that are similarly useful to molecular dynamics but feasible on modern supercomputers. Not being able to see what's happening inside cells seems like the main blocker to biological research.

What's missing feels like the equivalent of a "fast-forward" button for cell-scale dynamics

Re: AlphaGenome: AI for better understanding the genome

#150

Post by eleveriven »

jebarker wrote: post #50

I don't think DM is the only lab doing high-impact AI applications research, but they really seem to punch above their weight in it. Why is that or is it just that they have better technical marketing for their work?

Other labs are definitely doing amazing work too, but often it's either more niche or less public-facing
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