A.I. Learns to Write in DNA
Scientists prompted A.I. to design and create new viruses for the first time, a milestone for medicine that also raises new biosecurity concerns.
A Reddit discussion of the original legal filing, shared widely this week, spotlights a developing lawsuit in which Meta employees allege the company used AI to select layoff targets — and a judge's observation that the plaintiffs can't prove it because they "weren't in the room" when decisions were made.
The case surfaces a structural gap in employment law: when an algorithm makes or significantly influences a termination decision, affected employees typically have no right to audit the system. According to the Reddit thread, the lawsuit frames this as a legal grey zone — companies can increasingly delegate workforce decisions to algorithms, and workers have almost no discovery rights to challenge those systems.
The discovery obstacle is the core problem. In a conventional wrongful termination case, plaintiffs can request internal communications and HR records that reveal discriminatory intent. When an AI system is the decision-maker, the equivalent would require access to model parameters, training data, and inference logs — materials companies have had little reason to preserve for litigation and every reason to treat as proprietary.
Note: the primary source here is a Reddit discussion thread, not a direct news report, so the specific judge's ruling and procedural details should be treated as unconfirmed pending verification against court records or journalism covering the case directly. The structural legal dynamic it describes, however — AI-assisted employment decisions outrunning employee rights — is well-documented beyond this filing.
All comments are reviewed before appearing. Keep it respectful.
Scientists prompted A.I. to design and create new viruses for the first time, a milestone for medicine that also raises new biosecurity concerns.
The Trump administration has no idea on how to handle open-source and open-weight AI models from China.
Google is consolidating AI leadership in California but the reorganization is pushing out the engineers who built its AI division