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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 t

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?

331c8c71 1y ago
This one seems like well done research but in no way revolutionary. People have been doing similar stuff for a while...
- Gethsemane 1y ago
  Agreed, there’s been some interesting developments in this space recently (e.g. AgroNT). Very excited for it, particularly as genome sequencing gets cheaper and cheaper! I’d pitch this paper as a very solid demonstration of the approach, and im sure it will lead to some pretty rapid developments (similar to what Rosettafold/alphafold did)
nextos 1y ago
In biology, Arc Institute is doing great novel things. Some pharmas like Genentech or GSK also have excellent AI groups.
- 331c8c71 1y ago
  Arc have just released a perturbation model btw. If it reliably beats linear benchmarks as claimed it is a big step https://arcinstitute.org/news/virtual-cell-model-state https://arcinstitute.org/news/virtual-cell-model-state
tim333 1y ago
They have been at it for a long time and have a lot of resources courtesy of Google. Asking perplexity it says the alphafold 2 database took "several million GPU hours".
- kridsdale3 1y ago
  It's also a core interest of Demis.
daveguy 1y ago
Well, they are a Google organization. Being backed by a $2T company gives you more benefits than just marketing.
- jebarker 1y ago
  Money and resources are only a partial explanation. There’s some equally and more valuable companies that aren’t having nearly as much success in applied AI.
  - sidibe 1y ago
    There are more valuable companies but there aren't companies with more resources. If apple wanted to turn all their cash pile into something like Google's infrastructure it would still take years
inquirerGeneral 1y ago
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forgotpwagain 1y ago
DeepMind/Google does a lot more than the other places that most HN readers would think about first (Amazon, Meta, etc). But there is a lot of excellent work with equal ambition and scale happening in pharma and biotech, that is less visible to the average HN reader. There is also excellent work happening in academic science as well (frequently as a collaboration with industry for compute). NVIDIA partners with whoever they can to get you committed to their tech stack. For instance, Evo2 by the Arc Institute is a DNA Foundation Model that can do some really remarkable things to understand/interpret/design DNA sequences, and there are now multiple open weight models for working with biomolecules at a structural level that are equivalent to AlphaFold 3.
eleveriven 1y ago
Other labs are definitely doing amazing work too, but often it's either more niche or less public-facing

331c8c71 1y ago

This one seems like well done research but in no way revolutionary. People have been doing similar stuff for a while...

Gethsemane 1y ago
Agreed, there’s been some interesting developments in this space recently (e.g. AgroNT). Very excited for it, particularly as genome sequencing gets cheaper and cheaper! I’d pitch this paper as a very solid demonstration of the approach, and im sure it will lead to some pretty rapid developments (similar to what Rosettafold/alphafold did)

nextos 1y ago

In biology, Arc Institute is doing great novel things. Some pharmas like Genentech or GSK also have excellent AI groups.

331c8c71 1y ago
Arc have just released a perturbation model btw. If it reliably beats linear benchmarks as claimed it is a big step https://arcinstitute.org/news/virtual-cell-model-state https://arcinstitute.org/news/virtual-cell-model-state

tim333 1y ago

They have been at it for a long time and have a lot of resources courtesy of Google. Asking perplexity it says the alphafold 2 database took "several million GPU hours".

kridsdale3 1y ago
It's also a core interest of Demis.

daveguy 1y ago

Well, they are a Google organization. Being backed by a $2T company gives you more benefits than just marketing.

jebarker 1y ago
Money and resources are only a partial explanation. There’s some equally and more valuable companies that aren’t having nearly as much success in applied AI.
- sidibe 1y ago
  There are more valuable companies but there aren't companies with more resources. If apple wanted to turn all their cash pile into something like Google's infrastructure it would still take years

inquirerGeneral 1y ago

[dead]

forgotpwagain 1y ago

DeepMind/Google does a lot more than the other places that most HN readers would think about first (Amazon, Meta, etc). But there is a lot of excellent work with equal ambition and scale happening in pharma and biotech, that is less visible to the average HN reader. There is also excellent work happening in academic science as well (frequently as a collaboration with industry for compute). NVIDIA partners with whoever they can to get you committed to their tech stack. For instance, Evo2 by the Arc Institute is a DNA Foundation Model that can do some really remarkable things to understand/interpret/design DNA sequences, and there are now multiple open weight models for working with biomolecules at a structural level that are equivalent to AlphaFold 3.

eleveriven 1y ago

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