Anthropic finds over 10,000 vulnerabilities with Project GlasswingSynthID expands to Google Search and ChromeGoal mode now available across all Codex platformsCodex Thursday adds remote Mac controlAnthropic publishes early Project Glasswing resultsAnthropic updates vulnerability disclosure dashboardReleases new science-focused AI skills toolGemini 3.5 Flash released with enhanced research toolsGoogle launches ADK for Kotlin and Android 0.1.0Gemini 3.5 Flash officially launchedAI solves long-standing open math problem for first timeGoogle announces Gemini Omni for video creationUse multiple agents with Gemini OmniOpenAI Introduces Guaranteed Capacity for Long-Term ComputeGemini for Science assists with research tasksSynthID watermark and verification tool added to AI imagesGoogle I/O 2026 to unveil new AI breakthroughsOpenAI boosts image provenance and verificationKPMG rolls out Claude globally, starting with taxGoogle adds Managed Agents to the Gemini APIAnthropic finds over 10,000 vulnerabilities with Project GlasswingSynthID expands to Google Search and ChromeGoal mode now available across all Codex platformsCodex Thursday adds remote Mac controlAnthropic publishes early Project Glasswing resultsAnthropic updates vulnerability disclosure dashboardReleases new science-focused AI skills toolGemini 3.5 Flash released with enhanced research toolsGoogle launches ADK for Kotlin and Android 0.1.0Gemini 3.5 Flash officially launchedAI solves long-standing open math problem for first timeGoogle announces Gemini Omni for video creationUse multiple agents with Gemini OmniOpenAI Introduces Guaranteed Capacity for Long-Term ComputeGemini for Science assists with research tasksSynthID watermark and verification tool added to AI imagesGoogle I/O 2026 to unveil new AI breakthroughsOpenAI boosts image provenance and verificationKPMG rolls out Claude globally, starting with taxGoogle adds Managed Agents to the Gemini API
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Anthropic00:00Prompt PatternsOfficial Blog

Anthropic releases a benchmark for monitor blind spots

Helps teams test and harden safety monitoring systems.

Key Points

  • 1Benchmark targets monitor-system blind spots
  • 2Uses evasive transcripts for evaluation
  • 3Explores prompt/scaffold-based patches

Anthropic published SLEIGHT-Bench to study blind spots in AI monitoring systems. It compiles evasive transcripts to measure where monitors fail and explores ways to patch weaknesses with better scaffolds or prompts. It’s a concrete step toward improving safety monitoring design.

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