Physical AI expands the attack surface of industrial systems, as manipulated sensors or AI models can cause not only data loss but also material damage and physical harm to people.
AI systems require fundamentally new red-teaming approaches due to their probabilistic nature, which differ fundamentally from classical penetration testing.
Anthropic splits Claude Fable 5 into a public version (with safeguards) and a restrictive version (Claude Mythos 5 without security layers) for verified cybersecurity experts.
Anthropic releases its AI model Mythos with built-in restrictions for cybersecurity and biotech use, while a separate government program continues to enable unrestricted access for security testing.
Anthropic launches Claude Fable 5 as a public myth-class model with benchmark gains, but embeds invisible security redirection mechanisms in LLM development, intensifying debates over transparency and vendor control.
FlowTracer models information propagation as a directed graph and derives token credits from global flow structure to precisely concentrate reinforcement learning signals on critical reasoning steps.
FlowTracer assigns credit to tokens based on their measured information throughput in the attention graph rather than treating all equally, yielding consistent performance gains in reasoning tasks.
