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Entities

Anthropic medium

Type
entity
Tags
ai-agents ai-safety machine-learning
Confidence
medium
Created
2026-08-09
Updated
2026-08-09
Sources
raw/articles/https-www-anthropic-com-research-assistant-axis-1ae1242aef83.md, raw/articles/building-a-c-compiler-with-a-team-of-parallel-claudes-anthropic-1eba12a4a8fa.md, raw/articles/harness-design-for-long-running-application-development-anthropic-9fa759b72385.md, raw/articles/claude-code-auto-mode-a-safer-way-to-skip-permissions-anthropic-d5f9dbd62b3e.md

Anthropic

Across this corpus, Anthropic is both a model developer and a publisher of first-party experiments about agentic coding, interpretability, and tool safety. Its reports make useful design evidence, but claims about capability, benchmarks, and deployed controls should be read as vendor-reported unless independently corroborated.

Recurring contributions

  • Its long-running-agent work treats planning, generation, evaluation, structured handoffs, and browser-driven checking as separable harness roles; its C-compiler case study adds container isolation, task locks, and high-quality tests as practical coordination controls. [src] [src]
  • Its safety material spans mechanistic interventions such as the Assistant Axis and operational controls such as Claude Code auto mode’s classifier-gated permissions. [src] [src]

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