Anthropic's AI-lab discovery claim draws fire as biologists dispute novelty

The dispute surfaced after Anthropic announced that earlier this year it had launched a molecular biology lab. There, Claude agents read and conjecture about hard biology problems while human scientists run the experiments, MIT Technology Review reported on 29 September. The company said the system, running 950 agents over 21 hours, flagged a repeating pattern surrounding a known enzyme that had not been catalogued before.

Anthropic's announcement described the pattern as "reminiscent" of what led to the gene-editing technology CRISPR, which "has already transformed science and medicine." That framing is where the trouble started.

What the agents actually found

The agents did not find a new DNA sequence. They flagged a repeating pattern around an enzyme that was already known, and the company says the pattern itself had not been catalogued. A viral post from biologist Lucas Harrington, later endorsed by the chair and CEO of Eli Lilly, argued that "finding a weird cluster of genes and repeats is often the easy part. The hard part, and where the real discoveries come from, is figuring out what the system actually does."

MIT Technology Review reported that Mario Rodríguez Mestre, a biologist at the University of Copenhagen, said over the weekend that his team had already discovered the same pattern. Mestre, who regularly chatted with Claude in his work, wondered whether Anthropic's team had learned from his conversations. Anthropic denies this. Mestre says he is stopping all use of Claude anyway.

The disagreement is not over whether the pattern exists. It is over what finding it means. The review notes that whittling 200,000 candidates down to a few worth exploring is legitimate scientific work, and that a general-purpose chatbot doing it is notable. But once the standard becomes whether Claude itself made a discovery, the debate collapses into two answers: breakthrough or bust.

"Set the bar high now, so that when an AI actually discovers a fundamentally new biological mechanism, everyone appreciates how big a deal it is."

That line, from Harrington's critique, is cited by MIT Technology Review as a suggestion to AI companies. The review adds that as OpenAI's Sam Altman and Anthropic's Dario Amodei race to one-up each other, raising the bar might be the last thing on their minds.

A pattern beyond Anthropic

The same review's 29 September newsletter also flagged a separate case. Earlier in September, OpenAI said its own team agents had cracked a million-dollar problem in mathematics. A couple of weeks later, skeptics were sharing an article asking whether it was the math problem that really mattered. The piece did not argue OpenAI's solution was wrong, only that the result may not be the one mathematicians care most about. A mathematician also accused the models of using some of his work without credit.

The newsletter covered other items the same day, including OpenAI scrapping a new AI model over safety concerns, SpaceX's Starship reaching orbit for the first time, and a Florida court request to block OpenAI from developing new models.

On the research side, an arXiv preprint submitted on 15 September reported the first direct detection of auroral radio emission from an exoplanet, the giant planet beta Pictoris b, using the MeerKAT array. The authors, Kevin N. Ortiz Ceballos, Edo Berger and Yvette Cendes, say the emission implies a magnetic field of at least 1.25 kG at the planet. Separately, MIT Technology Review said on 29 September that it will publish its 2026 list of Climate Tech Companies to Watch on 6 October.