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Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms. https://t.co/qxVRXkvp4o

Figure may have found a scaling rule for robot pretraining: keep the model and task training fixed, add more Index data (Figure's large pretraining dataset of human behavior) > and action-prediction loss falls in a clean, predictable way. the smaller runs predicted the 8x-data run almost exactly, i.e. a robotics company can estimate what another doubling of human-behavior data will buy before spending the compute on the full run. should make robot training less trial-and-error and more like LLM scaling, although the curve predicts action loss, not real-world task success. so it does not yet prove equally predictable gains in robot reliability.

Figure just released this video. a beautiful robot future is indeed coming. Its Helix 2.5 model (Figure’s end-to-end robotics brain) lifted zero-shot household-task success more than sixfold across 30 unseen homes. Figure also reports success rising from 9% to 56%, with success requiring the entire task to be completed and no partial credit awarded.

Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms. https://t.co/qxVRXkvp4o

Full video https://t.co/U0GA6BTbOg

Today we're rolling out Projects in Claude Code on desktop and web. A project is one conversation with Claude. It splits the work into threads itself, runs them as parallel cloud sessions, passes context between them, and keeps going when you leave. In beta for select users. https://t.co/j4k7rludhV