Researchers in bioinfomatics that are doing the ML work are already using llms where its helpful, they dont need a specialized model. I'll bet my entire net worth and future lifetime earnings that this model will not continue to get updates a year from now.
This idea that LLMs are going to be able to help with drug discovery better than existing ML approaches is a just a lie, I dont think there's a single biotech/bioinfomatics PhD who agrees with you.
They are language models!!! Nobody said researchers wont leverage llms to do the boring stuff, but that doesnt speed up the fundamental bottleneck which are clinical studies. We already have great drug candidates, backlogs of them and having llms is not going to enable you to suddenly be able to do more clinical trials!!!
These things happen in the real world, with real constraints There is no terminal, there is no compiler, there are no proofs, money is required (loads of it).
Regardless of what Trump says, everything is not computer.
Drugdiscovery has also a lot of physics involved btw
And you said ML yourself. You do understand, that the current LLM explositon also means that ML in itself gets more funding and now infrastructure for ML itself got easier to get, cheaper and faster right?
And yes for sure bigger and better LLMs can help: Alone for finding potential better or more optimized experiments, there is value in an LLM having all the current research in context.