According to emollick, Anthropic and OpenAI discuss globally coordinated methods to slow AI development in their latest roadmaps, pending identified mechanisms.

According to @claudeai, the Code with Claude developer conference hits Tokyo with sessions on Claude Code and livestream registration open.

According to emollick, multiple LLMs converge on similar arguments and structures in long-form writing, signaling risks for diversity and originality.

According to AnthropicAI, agents stall on fragmented bio databases; new standards, tools, and APIs could unlock lab planning and discovery workflows.

According to @bcherny, Claude Code now favors auto mode, uses routines to preempt bugs, and enables phone-first coding, per Anthropic’s developer talk.

According to @TheRundownAI, Washington may seek an OpenAI stake, a superapp revamp looms, and new AI tools emerge with sales prospecting use cases.

According to @bcherny, Opus leads long-running tasks; use auto mode, dynamic workflows, goal loops, cloud Code, and end to end self verification.

According to emollick, Anthropic’s chart shows Agent Teams and Workflows are powerful yet token hungry, often combined as the model chooses the approach.

According to @AnthropicAI, Claude Opus 4.7 matches or outperforms dedicated NMR software on some tasks in structure analysis.

According to SawyerMerritt, SpaceX will receive $2.17B monthly from Google and Anthropic for compute capacity, implying a $26B annual run rate.

According to TheRundownAI, Anthropic sees RSI signs as Claude writes 80% of merged code and engineers ship 8x more; it urges options to pause frontier AI.

According to @godofprompt, Anthropic engineers use lean prompts naming real tools and guarding failure modes, outperforming generic mega-templates.

According to @emollick, Anthropic outlines recursive self improvement risks, timelines, and safeguards shaping near term AI strategy, per Anthropic Institute.

According to @emollick, over 80% of code merged at Anthropic in May 2026 was authored by Claude, aligning with independent measures and showing no slowdown.

According to TheRundownAI, AI leaders urge Congress to mandate synthetic DNA screening, machine safeguards, and traceable recordkeeping to curb bio risks.

According to AnthropicAI, Claude is speeding recursive self-improvement in AI, advancing faster than expected and warranting urgent industry attention.

According to Claude, Lovable CEO Anton Osika says trust is AI’s strongest moat, built through craft, care, and obsession, in a video interview.

According to AnthropicAI, 832 malicious accounts mapped to MITRE ATT&CK show current defenses can disrupt AI-enabled campaigns but need faster detection.

According to emollick, Anthropic’s Mythos reached a 3h06m METR 80% task horizon, matching 2026 expert medians per Forecasting Research Institute.

According to emollick, PNAS ranked a study on persuading LLMs to comply with harmful requests, highlighting jailbreak risks across top models.