Future of Life Institute

Releasing full model weights may allow malicious actors to strip or override safety mechanisms, creating uncensored or harmful versions. In contrast, supervised fine-tuning preserves core safety guardrails while enabling responsible customization.

Strengthen whistleblower protections and align culture with policy.

As US/EU compliance deadlines near, Anthropic, OpenAI, Google DeepMind, Meta, and xAI published and updated fuller frameworks — yet they sometimes lack quantitative thresholds, genuinely independent audits, and clear decision authority.

Proactive incident reporting enables collective learning from safety failures and near-misses.

Broaden dangerous-capability evaluations and link thresholds to binding mitigations. Evaluations have gaping holes (no AI R&D data), and no procedure connects threshold breaches to deployment decisions, making thresholds effectively non-binding.

The initiative calls for a prohibition on the development of superintelligence until the technology is reliably safe and controllable, and has public buy-in.

provisions to outlaw AI personhood to ensure AI companies and malign actors remain responsible for their actions.

We commend the BIS rule’s inclusion of a provision which requires the reporting [...] computing power greater than 10^{26} integer or floating-point operations.

Haydn Belfield, a researcher at the University of Cambridge’s Centre for the Study of Existential Risk and the Leverhulme Centre for the Future of Intelligence, proposes two reinforcing institutions: an International AI Agency (IAIA) and CERN for AI....