Nov 11, 2026
Anthropic's Fable 5.2 Completes 41% of Real Freelance Jobs, Up From 2.5% a Year Ago
Anthropic's Fable 5.2 scored 41.3% on the Remote Labor Index, completing nearly half of 240 real Upwork projects at professional quality. That's a 16x leap from the 2.5% top score a year ago and more than double the next-best system. The benchmark, run by Scale Labs and CAIS, uses human experts to grade deliverables — and nearly 50 of Fable 5.2's successes were tasks no AI had ever solved before.
Nov 11, 2026
New York's AI Safety Law Opens Registration: OpenAI and Anthropic Must Sign Up by January
New York opened its RAISE Act registration portal on Tuesday, requiring large frontier AI developers — including OpenAI and Anthropic — to register by January 1, 2027. Companies with over $500 million in annual revenue must publish safety frameworks, report critical incidents within 72 hours, and issue transparency reports. Fines reach $3 million for repeat violations.
Nov 11, 2026
Anthropic IPO Targets $1.4 Trillion Valuation, $64 Billion Raise
Anthropic set a $70 to $78 share price range for its IPO, valuing the Claude maker at roughly $1.4 trillion on a fully diluted basis. The offering could raise up to $64 billion, with Amazon and Google holding the biggest paper gains. Trading is expected to start November 19 under the ticker ANT.
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AI policy money is moving into U.S. elections — here is what the totals show
Axios reports $48 million in election spending by AI-safety groups and donors. FEC records confirm substantial committee activity, but the public figures cover different entities, dates and kinds of money.
May 5, 2026
Instagram Unveils AI Creator Labels for Transparency
Instagram implements optional 'AI Creator' labels for transparency in AI-generated content. Creators can display their use of AI tools on profiles and posts. This initiative aims to clarify the mix of AI and human content, countering misinformation.
May 4, 2026
Y Combinator's AI Startup Blueprint: Focus on Tokens Over Headcount
Y Combinator partner Diana Hu advises AI-native startups to focus on 'tokenmaxxing,' prioritizing AI compute token usage over headcount. This shift aims for leaner teams where AI-augmented individuals replicate larger traditional teams. But the strategy, while gaining traction, faces skepticism for potential inefficiencies.