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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. RESEARCH · The Guardian — AI English(EN) · · [15 sources]

    Anthropic to share Mythos cyber flaw findings with global finance watchdog

    Security researchers utilized Anthropic's Claude Mythos AI to discover a privilege escalation exploit affecting Apple's M5 chips, bypassing the Memory Integrity Enforcement (MIE) security feature. The exploit, developed by the Calif team, allows a standard user to gain root access on macOS. Anthropic is briefing the Financial Stability Board on the implications of Mythos, which has demonstrated advanced capabilities in identifying IT system flaws. AI

    Anthropic to share Mythos cyber flaw findings with global finance watchdog

    IMPACT Demonstrates AI's growing capability in discovering complex security vulnerabilities, potentially accelerating exploit development.

  2. TOOL · Bluesky Jetstream — AI desk English(EN) ·

    The Second Scaling Law of AI remains undefeated.

    A new study by the UK's AI Security Institute suggests that increasing the token limit for AI models consistently improves their performance on complex tasks. This finding supports the "Second Scaling Law of AI," indicating that larger context windows lead to better outcomes in areas like coding, math, and scientific problem-solving without apparent diminishing returns. AI

    IMPACT Confirms that increasing context windows is a key lever for improving AI capabilities across diverse complex tasks.

  3. TOOL · Bluesky Jetstream — AI desk English(EN) ·

    The UK’s state AI Security iIstitute findings on latest AI models:

    The UK's AI Security Institute has released findings on recent AI models, noting significant advancements in cyber capabilities for both Mythos and GPT-5.5. Researchers found it difficult to determine the upper limits of these models, suggesting their performance is constrained by token usage rather than inherent ability. The report also indicates a rapid capability doubling time of approximately 4.5 months for these AI systems. AI

    IMPACT New research indicates rapid AI capability growth, potentially accelerating the pace of AI development and its implications for cybersecurity.