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.
Reporting from TechCrunch, Z.ai's open-weight model GLM-5.2 is now performing at near-frontier capability levels — but a SaferAI report released today finds it's missing the safety guardrails built into closed models from OpenAI and Anthropic.
The SaferAI report draws a direct line between capability and accountability: GLM-5.2 performs comparably to frontier systems but doesn't come bundled with the safety engineering those systems carry. Anyone who downloads it gets the capability without the constraints big labs spent years developing.
As open-weight models close the performance gap with frontier AI, the governance problem sharpens. Regulatory frameworks were largely designed around labs that control access to their models. Open-weight distribution sidesteps that entirely — once a model is downloaded, it can't be patched, updated, or pulled back.
The SaferAI report's conclusion is pointed: the trajectory runs toward wide availability of cutting-edge AI where safety features are optional add-ons, not built-in controls.
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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