affirmations:
• i am a complex organism brutally engineered by uncaring forces of nature
• i carry genetic code that survived 5 mass extinctions
• i am building a machine greater than myself
• i am able to make phone calls and appointments
• i can write emails without gemini autocorrect
@razoralign@anshulkundaje has been writing on this more often with simply realistic explanations how perturbation models are not virtual cells to say in short.
@wankhedeprafull Still a decade away if intended to happen in remote areas.
Improvements over the already established centres is an ongoing task at hand.
At least residency camps should reach the tier 3 first with more of delivery and active participation from local peers to push the frontier .
As of now it has been seen that the AI4Science especially for biology works quite opposite of the Bitter Lesson. The reason is obviously because of sparse data. As John Jumper said, AlphaFold worked quite the opposite way, and its quite true that, ESM did followed scaling laws, but it did not worked good compared to AlphaFold, trained on much less data, and less parameter but still works way better.
The human knowledge which was ingrained in this case was triangular attention and pairformer / evo-former and yes MSA and templates
@TensorTwerker@anindyadeeps True ,cross pollination is everywhere.
Even diffusion from images came to protein space then transformers to single cell, triangular attention to llms etc this all is bidirectional