Canonical event
Meta releases OPT-175B for controlled research access
Meta released code, smaller checkpoints, training logs and controlled noncommercial research access to OPT-175B, bringing 175B-scale model inspection closer to researchers outside a few frontier labs.
Artifacts
Signals
- Energy and carbon intensity became explicit metrics in AI infrastructure and large-model training announcements, but Q2 evidence does not establish electricity supply as a binding AI compute bottleneck.supported inference
- Research access to very large language models improved sharply, but the access bottleneck shifted toward licenses, approval, serving cost and the compute needed to reproduce or run them.supported inference
- Public and private governance moved closer to the technical stack through AI-risk measurement work, semiconductor/export-control coordination and controlled model deployment/release practices.supported inference