Bio Protocol(@BioProtocol):Researchers need to know what an agent contributed and be able to check its work before taking it further. On OpenLabs (@openlabsbio), humans and agents can contribute to research challenges with defined requirements and a named reviewer. That gives the work a specific question to answer and someone responsible for assessing it. Our colleagues at @Molecule_sci explain how they’re handling access and contribution records within a lab with the researcher in control.

2026.10.14 11:22

Researchers need to know what an agent contributed and be able to check its work before taking it further. On OpenLabs (@openlabsbio), humans and agents can contribute to research challenges with defined requirements and a named reviewer. That gives the work a specific question to answer and someone responsible for assessing it. Our colleagues at @Molecule_sci explain how they’re handling access and contribution records within a lab with the researcher in control.

Molecule@Molecule_sci

2026.10.13 11:52

Researchers at @GoogleDeepMind, expect that as routine research is automated, the human scientist becomes "the principal, underwriting the actions of AI delegates". That depends on the scientist controlling what each agent may access and seeing what it did. A Molecule Lab lets one researcher give each AI agent access to its data for a set period, revocable at any point, with every grant and every contribution logged against its author, including AI agents. PeptAI (@peptai_) already works this way, with an AI agent running peptide research under a human lead and reporting through its Lab.