Define it. I haven't seen anything yet from a coding agent I couldn't write myself and usually write better. But I don't have to gold plate every line of code, just the 5% or so that eats 90+% of the cycles. And this is where the agents are weakest. This does get to one of the reasons I don't believe AI cures death or builds von Neumann replicators any time soon because that requires out of sample breakthroughs. And that's not their strong point.

Just like AlphaFold 2 genuinely increased the weak sequence but strong structural homology detection of proteins, but it did far less for out of sample domains and it provides no intel into the kinetics of folding. Details matter. And nobody likes to hear about them.

Is there a retrospective on AlphaFold you’d recommend? Maybe that’s the insight I’m missing, I didn’t realize it had broad identifiable gaps like that.