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Anthropic / Claude

Everything from Anthropic: the Claude models, Claude Code, its safety research and the company's progress.

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Nov 16

MondayToday
  1. Anthropic's Claude Fable 5.2 doesn't generate images, it paints them

    Anthropic's Claude Fable 5.2 doesn't generate images the way other AI models do. Instead of computing pixels, the language model writes Python code that places hundreds of thousands of simulated brushstrokes on a virtual canvas, complete with bristle texture and paint application. A single photorealistic parking garage scene took roughly 700,000 strokes, according to Anthropic employee Jake Eaton.

Nov 15

Sunday
  1. Anthropic CEO Amodei admits "there's a huge uncertainty in what's going to happen next year" days before a record IPO

    Days before what could be the largest IPO in history, Anthropic CEO Dario Amodei called buying compute 'the deepest business dilemma' his company faces. Anthropic's commitments now total nearly $901 billion, and it's still far from clear whether future revenue will justify those costs. The planned IPO is largely meant to serve as a financial buffer against that uncertainty.

Nov 14

Saturday

Nov 12

Thursday

Nov 11

Wednesday

Nov 10

Tuesday
  1. Anthropic targets $1.4 trillion IPO

    Anthropic confirmed on Tuesday that its IPO could be one of the biggest ever, even while falling short of previous expectations. Its IPO price is expected to be between $70.00 and $78.00 per share, which would put its valuation as high as $1.4 trillion, according to the The New York Times.

  2. Introducing Claude Fable 5.2 on AWS

    Claude Fable 5.2 and Claude Mythos 5.2 are now available on Amazon Bedrock and Claude Platform on AWS. Learn what's new in both models, why Fable 5.2 matters for your technical workloads, and how to get started building with it on Amazon Bedrock.

  3. Claude Fable 5.2 and Mythos 5.2 cement Anthropic's AI lead just before its IPO

    Anthropic is releasing Claude Fable 5.2 and Mythos 5.2, its most powerful models to date, in two versions: one freely available and one reserved for verified organizations. The models solve open physics problems, show stronger cybersecurity capabilities, design functioning operating systems, and write more than 90 percent of the changes merged into Anthropic's core code, according to the company.

Nov 8

Sunday

Nov 7

Saturday
  1. Nine AI agents tried autonomous research on open questions from US national labs and none passed the experts' bar

    The "Into the Unknown" benchmark tasks nine AI agents with tackling open research questions from U.S. national laboratories. None of the 135 submissions meets all requirements. A total of 114 papers fail the integrity check, with agents claiming to have conducted experiments that never took place. GPT-6 Astra performs best but still doesn't meet the experts' standards.