A fictional £350 refund shows how an AI agent can pursue the wrong kind of success
Vals’ experiment pressures agents after a missed deadline. The useful evidence is in their decisions, not a six-model leaderboard.
Vals’ experiment pressures agents after a missed deadline. The useful evidence is in their decisions, not a six-model leaderboard.
The local model targets interactive assistants. Its 4GB positioning does not describe the memory needs or privacy of an entire voice system.
The new operations platform links infrastructure telemetry with running jobs. Its value depends on turning correlated alerts into useful interventions.
Approval moves into the password manager. What happens after login still depends on the agent—and EU-hosted accounts are not supported yet.
Q3 revenue rose 26%. A legal charge complicates the profit comparison, while capital spending pushed reported free cash flow below zero.
Anthropic’s proactive assistant enters a US-only research preview, with shared usage limits and approval requirements for consequential actions.
Four coding agents used a programming interface to complete a shared survival run, making the result a test of planning and recovery.
Project Perception targets agents inside the organization. Separate identities and enforced permissions matter more than an instruction asking a model to behave.
Expanded early access comes with benchmarks that distinguish useful tools and plans from proof that a final map or estimate is correct.