
Opus 5 will be both cheaper and less restrictive than Fable, likely making it preferable in most use cases
Anthropic launched Opus 5, a new version of its heavyweight AI model that is smaller than a competing model called Fable 5 while being cheaper and less restrictive. The model actually outperforms Fable 5 on several benchmarks and is notably stronger at verifying its work and iterating until it succeeds. Opus 5 is free from the 30-day data retention policy that applies to Fable, addressing privacy concerns, though it still has safeguards around cybersecurity tasks. Anthropic is also introducing a new feature called Automatic Fallbacks that routes requests to less powerful models when safety restrictions are triggered, allowing users to get functional responses instead of errors.

In this tutorial, we explore FAIRChem v2 and the UMA universal machine-learning interatomic potential as a unified framework for atomistic simulation across molecular chemistry, catalysis, and inorganic materials. We configure an environment, authenticate with Hugging Face to access the gated UMA model weights, and initialize task-specific calculators for the omol, oc20, and omat domains. We then apply the same pretrained potential to a broad set of computational chemistry workflows, including

Most agents that learn from video need to know what action produced each frame. Induction Labs is arguing that this requirement is the bottleneck. Last week, they released imagination models, a foundation model architecture that pretrains on raw video with no action labels at all. Their test system is Photon-1, a sparse 106B-A5B mixture-of-experts (MoE) transformer trained on 18 years of computer demonstration video. On an internal computer use benchmark, Induction Labs reports that Photon-1

The KwaiKAT Team at Kuaishou has introduced the KAT-Coder-V2.5. It is a coding model trained to operate inside real, executable repositories rather than emit single-turn code. The served model is available through StreamLake. An open-weight variant, KAT-Coder-V2.5-Dev, was released separately on Hugging Face under Apache-2.0. AutoBuilder: environments that actually run the intended tests The research frames a verifiable task as a triplet. It needs a precise task description, an executable
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