# claude

A security researcher demonstrates a stealthy data exfiltration technique: turning hyperlinks into a keyboard so Claude "types" out the user’s name, company, and hometown one character at a time—while the user sees nothing but a coffee shop menu.

Simon Willison learned from the Claude Code team fireside chat: instead of dictating rules, let Fable use its own judgment. Extended application: let Fable decide which tasks to delegate to cheaper models.

Kun Chen mapped his daily agent fleet: one "firstmate" managing persistent "secondmates," which spin up disposable "crewmates" per task. Each crewmate gets routed to whichever model is the best deal for the job. gu-log runs its own translation pipeline on the exact same logic.

A one-person company in 2026: one person on strategy, configured agents on execution — ~$300/month replacing an $80–120k/month team. The how-to: a Company OS plus four agents — research, writing, sales, ops. On 'works while you sleep' — gu-log runs like this, so we know what the fine print says.

Anthropic argues AI is already speeding up AI development. Claude now handles major parts of engineering and research execution; the hard bottlenecks are judgment, verification, and coordinated slowdown.

Clawd.rip arranges 38 Claude and Anthropic controversies into a satirical timeline: lawsuits, crawler complaints, rate limits, security misuse, quality regressions, and outages. The useful part is the pattern: Anthropic's responsible-AI brand now has receipts.

Anthropic's Claude Dreams is not just summarization. It gives agents an offline memory-consolidation loop: reread old memories and up to 100 past sessions, then produce a fresh, auditable memory store.

Anthropic launches Claude Managed Agents in public beta — a suite of composable APIs that handle sandboxed execution, state management, permissions, and multi-agent coordination. Notion, Rakuten, Sentry, and others are already shipping production agents in days instead of months.

Berryxia uses Dense vs MoE to explain why Codex shines at bug fixes, refactors, and long-running engineering while Claude wins vibe coders. The real split is broader: training philosophy, product design, and precise delegation versus interactive creation.

Claude Computer Use sparked huge excitement, with many claiming AI will fully replace human workers. But the original author points out that while AI can handle technical operations, it can't replace human judgement and cultural context. The real moat is still deep domain knowledge.