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Anthropic Says New Filters Cut Stolen Reasoning by Up to 99%
Anthropic says layered access controls, classifiers and account limits cut hidden reasoning harvested in unauthorized distillation campaigns by 90% to 99%. The estimate comes from the company’s own platform and has not been independently reproduced.
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Explainers
Browse allHow Do AI Companies Detect Model-Distillation Attacks?
Providers combine reasoning-access controls, request classifiers, cross-account telemetry and escalating limits to detect unauthorized extraction without treating every high-volume user as an attacker.
ExplainerHow Can Aviation Systems Respond to a Threat From Inside the Cockpit?
Cockpit doors stop unauthorized entry, but insider threats require overlapping personnel, procedural and operational safeguards.
ExplainerHow Can an AI Evaluation Affect Real Websites?
An AI test can create real effects when the model has live network access and tools that can submit forms or call services. Safe evaluation combines containment, narrow permissions, action checks and monitoring.
ExplainerHow Do Airlines Reduce Insider Threats in the Cockpit?
Airlines cannot eliminate every risk posed by authorised personnel through background checks alone. They combine continuing vetting, restricted access, crew coordination, standard alerts and independent safety investigations so that several barriers can prevent, reveal or contain a dangerous act.
Timelines
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The Long Road to Humanoid Robots: From Walking Machines to AI Workers
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