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What I’m saying is that also LLMs grew organically. Machine learning developed organically through the years and LLMs are one of the products of such development.
Machine learning algorithms were absolutely desired and wanted, hundreds of thousands of people worked on developing them. It is a very useful technology. If I may list one very useful development: AlphaFold, for which the 2024 Nobel prize was adjudicated.
Now, whether LLMs are useful in chemistry and biology: kind of. Coming up with the design of a bacteriophage is not the first use which would come to my mind. Of course LLMs are being tested for their applications in such domains, but results are in general worse than dedicated models. One area in which I see value is the use of agents in orchestrating tools and analyzing results. Not really in producing new things on their own.