Well-run autolabs recursively training discipline-specific models are becoming very valuable assets. I write more about this here:
GPT-5.4 reviewed scientific literature, generated and ranked research proposals, helped design experiments, analyzed results, and proposed follow-up studies.
Human chemists steered the work, selected proposals for testing, and validated the final result.
Maria [AI] tested the idea across 10,080 reactions, and human chemists later validated representative results by hand.
Under the optimized conditions, yields improved for 88% of the boronic acids and 83% of the sulfonamides tested.
Human chemists then repeated 14 representative reactions by hand: 11 showed higher yields, including 8 with a more than twofold improvement.
The full process took about 2.5 months, plus another half month for human chemists to write up the results.
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https://xcancel.com/jmalchow/status/2067298271647904061
does not, although sometimes spotty