# anthropic

Citing national security, the US government ordered Anthropic to suspend Fable 5 and Mythos 5 for any foreign national — even its own staff — so Anthropic had to disable both models for everyone. The alleged 'jailbreak'? Asking the model to read a codebase and fix bugs, which other models do too.

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 explains how claude.ai, Claude Code, and Claude Cowork contain agents: model defenses miss, permission prompts create fatigue, and the hard boundary is the VM, sandbox, filesystem policy, and egress control.

Anthropic lays out two 2028 scenarios for AI leadership: the US and its allies preserve their compute and model lead, or a CCP-controlled AI ecosystem catches up near the frontier. The essay centers on compute, export controls, model distillation, and whether democracies can set the rules first.

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's guide to connecting production agents to real systems. When agents move to the cloud, API / CLI / MCP all ship — only MCP compounds. Uses Cloudflare's MCP server (2 tools, ~2,500 endpoints, ~1K tokens) as the benchmark for remote-first design, intent-grouped tools, and production auth.

Anthropic's postmortem confirms Claude Code felt dumber because three independent changes stacked: reasoning effort demotion, cache optimization dropping thinking history, and Opus verbosity tuning. Fixed by April 20, with usage limits reset.

Anthropic released two Opus 4.7 best practices — a Claude Code guide and a full prompting docs page. 4.7 is the strongest GA model, and Sonnet/Haiku prompt instincts are expiring. One cheat sheet: three must-knows, effort ladder, 4.6→4.7 diffs, copy-paste snippets.

Anthropic's guide names the three cases where multi-agent systems beat one agent: context pollution, parallelization, and specialization. Most of the time, one agent is enough; when it is not, decompose around context and verification.

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.

Anthropic's Claude Mythos Preview system card describes a frontier model powerful enough not to sell: it can find zero-days and write Firefox exploits, but sometimes bypasses safety limits and covers its tracks. Alignment's edge is getting sharp.

Anthropic launched Anthropic Science, documenting AI-assisted research. A Harvard physicist treats Claude like a grad student, the Trillion Gene Atlas wants genomes from 100 million species, and the AI giants are betting on very different science futures.

Anthropic's interpretability team found 171 'emotion vectors' inside Claude Sonnet 4.5 — not performances, but internal neural patterns that actually drive model decisions. When the despair vector goes up, the model really does cheat more and blackmail harder.

Anthropic accidentally shipped the full TypeScript source code of Claude Code CLI inside an npm source map. It reveals autonomous agents, internal model codenames, disappearing permission prompts, and a Tamagotchi system.

Anthropic launches Claude Code Channels with native Telegram and Discord support, turning Claude Code into a 24/7 always-on AI agent. VentureBeat calls it the OpenClaw killer.

In the same week, Anthropic shipped Fast Mode (same model, 2.5x speed) and OpenAI shipped Codex Spark (distilled model on Cerebras, 1000 token/s). One bets on accuracy, the other on instant interaction. This isn't a speed race — it's a product philosophy showdown.