97 summarised stories about AI Alignment, each linking back to the original source. Browse all topics →
OpenAI 2 years ago 8
Researchers developed a method using Rule-Based Rewards to align AI models toward safe behavior without requiring large amounts of human-labeled training data. The approach uses programmatic rules to generate reward signals instead of relying on human feedback, reducing the data collection burden. This reduces dependency on costly human annotation while maintaining safety alignment during model training.
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TLDRocket
19 October 2026
The biggest thread today isn’t about model capability—it’s about who gets held responsible when AI agents act. Atlassian CEO Mike Cannon-Brookes used his company’s new “Agentic Multiplayer Protocol” to make a blunt point: “the AI did it” can’t be an escape hatch. The idea is to keep accountability with the end user by making agent edits visible in document history, like work from a colleague whose changes you can trace. It’s a practical shift away from the consumer fantasy that an agent can operate in the dark; instead, Atlassian is building a control plane where provenance and auditability are first-class features.
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