Anthropic finds over 10,000 vulnerabilities with Project Glasswing SynthID expands to Google Search and Chrome Goal mode now available across all Codex platforms Codex Thursday adds remote Mac control Anthropic publishes early Project Glasswing results Anthropic updates vulnerability disclosure dashboard Releases new science-focused AI skills tool Gemini 3.5 Flash released with enhanced research tools Google launches ADK for Kotlin and Android 0.1.0 Gemini 3.5 Flash officially launched AI solves long-standing open math problem for first time Google announces Gemini Omni for video creation Use multiple agents with Gemini Omni OpenAI Introduces Guaranteed Capacity for Long-Term Compute Gemini for Science assists with research tasks SynthID watermark and verification tool added to AI images Google I/O 2026 to unveil new AI breakthroughs OpenAI boosts image provenance and verification KPMG rolls out Claude globally, starting with tax Google adds Managed Agents to the Gemini API Anthropic finds over 10,000 vulnerabilities with Project Glasswing SynthID expands to Google Search and Chrome Goal mode now available across all Codex platforms Codex Thursday adds remote Mac control Anthropic publishes early Project Glasswing results Anthropic updates vulnerability disclosure dashboard Releases new science-focused AI skills tool Gemini 3.5 Flash released with enhanced research tools Google launches ADK for Kotlin and Android 0.1.0 Gemini 3.5 Flash officially launched AI solves long-standing open math problem for first time Google announces Gemini Omni for video creation Use multiple agents with Gemini Omni OpenAI Introduces Guaranteed Capacity for Long-Term Compute Gemini for Science assists with research tasks SynthID watermark and verification tool added to AI images Google I/O 2026 to unveil new AI breakthroughs OpenAI boosts image provenance and verification KPMG rolls out Claude globally, starting with tax Google adds Managed Agents to the Gemini API

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Anthropic00:00Guides & TipsOfficial Blog

Anthropic explains NL autoencoders to verbalize thoughts

Improves interpretability work that supports safer AI.

Key Points

1Turns activations into natural-language text
2Aims to reduce interpretation burden
3May help find problematic training data

Anthropic published a research explainer on Natural Language Autoencoders, a method to translate internal activations into readable text. The goal is to make model internals easier to interpret. This can help diagnose issues and improve safety work.

📎 Source: Official Blog