AI Safety

GPT-5.6: Frontier intelligence that scales with your ambition

GPT-5.6 delivers state-of-the-art results across coding, cybersecurity, and science while using fewer tokens and costing less than competitors like Claude Fable 5. The new model family (Sol, Terra, Luna) introduces ultra multi-agent orchestration and Programmatic Tool Calling for efficient complex workflows. OpenAI also debuts its most extensive safety system yet, with layered safeguards and 700,000 A100e hours of red teaming. For builders, this means more capable, cost-effective AI agents ready for production use.

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An off switch for dual use knowledge in AI models

Anthropic and AE Studio introduce GRAM, a method to surgically control dual-use knowledge in AI models by adding removable modules that encapsulate sensitive capabilities. This allows flexible access control—enabling or disabling specific knowledge domains without retraining separate models—potentially offering a more robust alternative to current safeguards like refusal training and data filtering.

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Google’s SynthID used to debunk Mitch McConnell deepfake hoax

The article exposes a real-world tension: AI-generated disinformation can spread rapidly about public figures, and verification tools remain inconsistent. A hoax image of Senator Mitch McConnell, depicted in a hospital bed with tubes, circulated widely on Reddit and X, fueling speculation about his health. The revered fact-checking site Snopes debunked it by detecting the invisible watermark from Google's SynthID system, marking a rare success for anti-deepfake technology.

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Separating signal from noise in coding evaluations

OpenAI's audit of SWE-bench Pro reveals that roughly 30% of its tasks are broken due to overly strict tests, underspecified prompts, and other issues, leading the team to retract their earlier recommendation. The analysis used automated filtering, agent-assisted review, and human annotation to uncover these flaws, offering a sobering lesson in the difficulty of curating fair coding benchmarks for safety-critical evaluation.

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OpenAI Publishes National Security Principles for Government AI Use

OpenAI has published its National Security Principles, outlining how it will approach government partnerships in sensitive areas like cyber defense and biosecurity. The principles include contractual restrictions against mass surveillance, autonomous weapons, and high-stakes automated decisions, while emphasizing democratic accountability and human judgment. The company is expanding partnerships with allied nations under the Daybreak cyber program and the GPT-Rosalind biosecurity model.

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