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Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
The title signals the real reliability problem in agentic systems: hallucinated success. An agent says the task is done, but the side effects never happened. This is different from accuracy problems; it's about an agent's inability to verify its own work before declaring victory. If you're relying on agents to modify state, add verification loops and don't trust status reports.
This is practically important: you can make agents more reliable by injecting runtime guardrails without touching the model or the base prompt. The Terminal-Bench results show real gains on a 87-task suite, with Terra reaching 71.4% on repeated success using these policies at half the cost of Sol. If you're shipping agent products, this is the kind of engineering win that matters more than a new model release.