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Anthropic

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Anthropic

Confidence 0.95 · 22 sources · last confirmed 2026-06-23

AI safety and research company; publisher of the Claude family of models and the Anthropic Economic Index research series. Founded 2021 by Dario Amodei and Daniela Amodei (with a cohort of OpenAI departures) following the Amodei team’s exit from OpenAI “two or three OpenAI crises ago” per Ries 2026. Public Benefit Corporation with a two-tier governance structure (see §Governance structure below). Partnered with Amazon Web Services (~$8B total invested as of 2024 per 2026-04-28-werner-lebrun-octopus-organization). A new (not-yet-fully-released) Anthropic model, Mythos, surfaces in How I AI (June 2026) as the model credited with Mozilla’s Firefox security-bug spike — though Grinstead splits the credit ~50/50 between the model and the harness/pipeline.

Governance structure

Per Ries 2026 (who advised the Amodeis on the structure during Anthropic’s founding):

“Anthropic has directors on its for-profit board who are appointed by and are accountable to an outside group of trustees who are AI safety experts who do not have equity in Anthropic.”

The mechanism: Long-Term Benefit Trust (LTBT) as the mission guardian entity. Two-tier:

  1. For-profit board — the standard corporate governance layer; directors operate under PBC fiduciary obligations.
  2. Long-Term Benefit Trust — outside trustees who (a) are AI safety experts, (b) hold no equity in Anthropic, and (c) appoint and hold accountable the for-profit board’s directors.

The novel structural property: trustee accountability flows the right direction with respect to mission-relevant decisions — directors are accountable to the trust (not to shareholders) on the mission axis. Ries’ first-hand framing of what this buys: “Whenever you see Anthropic do the right thing, like when they refuse to release a model because they think it’s too dangerous, think about how much that’s costing them.”

Ries (who plays “no important role” but “a very big role” in the founding-advice phase) was approached by “one of their investors” and told the Amodeis “if you don’t get this right, here’s what’s going to happen” — the early framing that became the LTBT. Per Ries’ framework, PBC + LTBT is strictly stronger than PBC alone (OpenAI’s post-2025 structure) because the LTBT introduces outside trustee accountability that PBC-alone does not.

Research initiatives appearing in this wiki

Platform / product engineering

  • Claude Platform — Anthropic’s developer-facing platform.
    • Claude Managed Agents — hosted service for long-horizon agent work; brain/hands/session decoupled architecture; published April 2026 (Engineering blog).
    • Claude Code — agentic coding harness; described as “an excellent harness” in the Managed Agents post; its agentic architecture (splits coding work into smaller API calls labeled as distinct tasks) is the empirical signature of agent-mediated work in the 5th Economic Index report. Engineering leadership: Boris Cherny (10–15 concurrent Claude instances + CLAUDE.md as in-workflow learning capture per Kiron-Schrage 2026) and Fiona Fung (Director of Engineering; documents the Claude Code team-norms rewrite — JIT planning, code-wins-over-whiteboard debate, manager-starts-as-IC dogfooding, “Claudify everything”, “explicit permission to kill processes” — in 2026-05-08-running-an-ai-native-engineering-org). Founder-vantage worked examples on Claude Code as substrate: at $100M-ARR product scale by Jha at Emergent (multi-agent Kubernetes harness, system rewritten 4× in 9 months); at 2-FTE-startup-internal-ops scale by Garg at AnswerThis (Claude Code CLI wrapped in Python with a self-extending coding sub-agent and an agent-editable instructions.md).
  • Claude Cowork — Anthropic collaborative-design product, referenced by Spiegel 2026 in the designers-shipping-code discussion (alongside the named team member Jenny Wen, head of design at Claude, ex-Figma director — the move from Figma director to Claude IC designer is narrated by Spiegel as a case study in the crits-as-core-skill dimension of post-AI design work).

Third-party uses of the Anthropic API

  • WikiZZ / LLM WikiZZ (Mysore 2026) — single-author open-source browser-only extension of Karpathy’s LLM Wiki pattern that routes API requests via a Cloudflare Worker CORS proxy to NVIDIA NIM, Anthropic, and Gemini as user-selectable provider backends. The wiki’s first third-party-developer-tool-uses-Anthropic-API mention in the LLM Wiki cluster. Surfaced here as a one-line context note; the substantive treatment is on the source page.

Models referenced in this wiki

  • Claude Sonnet 4.5 — predominant model in the November 2025 Economic Index sample. Referenced as exhibiting “context anxiety” (premature task wrap-up) in the Managed Agents engineering post.
  • Claude Opus 4.5 — released between the 4th and 5th Economic Index sample windows. The Managed Agents engineering post notes that the “context anxiety” seen on Sonnet 4.5 was not present on Opus 4.5.
  • Claude Opus 4.6 — released coincident with the 5th Economic Index sample window (Feb 2026).
  • Family-level cost/speed/performance tradeoff: Haiku (fast, cheap) → Sonnet (default) → Opus (most capable, higher per-token price). The 5th Economic Index report quantifies that users select Opus differentially for higher-value tasks: +1.48 pp Opus per +$10/hour task value (Claude.ai); +2.79 pp per +$10 (1P API — about twice as steep).

As a flow-state organisation

Two recent sources name Anthropic specifically as a flow-state organisation — a place where structural pressure + lack of hierarchy strips away traditional thinking:

  • Ries 2026 frames it from the governance layer: PBC + LTBT make the structural mission-protection real.
  • Chamath 2026 names it from the operating-structure layer: “if you find one of these places — Anthropic is such a place, OpenAI is such a place, Facebook was such a place, Google was such a place, SpaceX is such a place” — alongside no-org-chart and chronic-under-hire as deliberate organisational design.

The two framings are at different layers (governance vs operating-structure) but converge on Anthropic as the AI-era exemplar of the category.

Open questions

  • The wiki has multiple references to Claude as a measurement substrate but no primary source on Anthropic itself yet; this entity page is a stub awaiting first-party Anthropic source ingestion.

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