GPT-5.4 lifts Chan-Lam yields in wet-lab tests

OpenAI and Molecule.one used GPT-5.4 to identify TEMPO as an additive, raising average Chan-Lam coupling yields from 16.6% to 25.2% across high-throughput experiments.

What happened

OpenAI and Molecule.one used GPT-5.4 to identify TEMPO as an additive, raising average Chan-Lam coupling yields from 16.6% to 25.2% across high-throughput experiments.

Why it matters

The important point is not the announcement alone, but the shift in incentives behind it. Money, compute, regulation and enterprise workflows are moving from experiments into operating infrastructure.

What to watch

The next test is whether the product, policy or funding move turns into durable adoption rather than a launch-week signal.

Sources: public company posts, official blogs, industry media reports, regulatory filings where applicable, CocoLoop; localized against the original Cocoloop Chinese article ai-chemist-chan-lam.