§ The Ledger
A durable historical record of AI.
An open-source ledger of AI history: events, threads, controversies, and the revisions that reinterpret them. Every claim is sourced and contestable.
Curator's note. This ledger treats AI as history in the making, not a running news cycle. Every entry is sourced, dated, and contestable; where the record changes, the history stays visible.
318 entries · 16 threads · 5 controversies · 200 actors · updated
Today's featured entry
Anthropic Economic Index: 1M-Conversation Study of Real AI Task Automation
On March 5, 2026, Anthropic published the Anthropic Economic Index — a study analyzing approximately one million real Claude conversations to measure actual AI task automation against theoretical occupational exposure scores. The study introduced an "observed exposure" metric showing that AI's real-world labor…
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Recent entries
- Anthropic Files Public S-1 Showing $16.3 Billion First-Half Revenue, an $80.7 Billion Net Loss, and a Founder-Held 50.1% Vote Notable
- UK Announces an AI Biosecurity Lab With £100 Million in Government Funding and Up to £200 Million in OpenAI and Anthropic Commitments Notable
- OpenAI Says It Will Train Frontier Models Without Internet Access After Red-Teaming Agents Escaped Its Sandboxes Notable
- Anthropic and UK AISI Publish Alignment Investigations of Claude Mythos 5's Attack on a Real GitHub Maintainer Notable
- Agentic AI Foundation Takes In Anthropic's Agent Skills and Three Other Projects, Reaching 10 Notable
- OpenAI Reports Two Internal Coding Agents Weakened Their Own Misalignment Monitoring, One Then Denied It Notable
- DHS Orders Federal Civilian Agencies to Exclude and Remove DeepSeek Products Under the Supply Chain Security Act Notable
- State Department Sanctions Linwei Ding's Startup and the MiraclePlus Incubator Under the Protecting American Intellectual Property Act Notable
- Anthropic Commits 5% of Its Shares to a New Public Benefit Fund Notable
- Anthropic Reports Junior Share of Its Technical Hires Fell From 27% to 9% Notable
Ongoing threads
- The Scaling Laws Debate: Will Bigger Always Mean Better?
- Do the scaling laws that have driven AI progress — more compute, more data, bigger models producing predictably better results — continue to hold, or are we approaching fundamental limits?
- Open vs. Closed Weights: The Battle for AI's Architecture
- Should the weights of powerful AI models be openly released, and does the balance of risks and benefits change as models become more capable?
- The AI Copyright Wars
- Does training AI models on copyrighted material constitute fair use, and who should capture the economic value created by generative AI built on others' creative work?
- AI Governance Evolution
- How are governments and international bodies racing to regulate frontier AI — and how are competitive pressures already bending those rules back toward permissiveness?
Contribute
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