{
  "id": 19484757,
  "title": "AI Weekly: Fable 5.2, Muse Ember, and TPU 8i Max",
  "url": "https://urgent.news/2026/11/11/ai-weekly-fable-5-2-muse-ember-and-tpu-8i-max",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-11T11:04:01.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/alexmercedcoder/ai-weekly-fable-52-muse-ember-and-tpu-8i-max-3k1o"
  },
  "original_language": "en",
  "account": "Anthropic released Claude Fable 5.2 and Claude Mythos 5.2 on November 9, with the new model featuring safety measures that block offensive security work and research-level biology. The model is generally available, while Mythos 5.2 is limited to specific programs and customers. Fable 5.2 is priced at $8 per million input tokens and $40 per million output tokens, a 20% decrease from its predecessor. It offers a fast mode that is twice as fast at double the cost. Benchmarks show Fable 5.2 outperforming previous versions and competing models, particularly in long-horizon tasks. Anthropic also released Mythos 5.2, which scores higher in vulnerability detection. Meanwhile, Meta unveiled Muse Ember, the smallest and cheapest of their Muse models, priced at $0.10 per million input tokens and $0.50 per million output tokens.",
  "summary": "Anthropic shipped Claude Fable 5.2 and cut its price by 20%. Meta launched Muse Ember, a tiny-priced model built to run the cheap steps inside agents, and Thinking Machines released Inkling 2 Small with open weights promised. Google added two new eighth-generation TPUs, while a Corelight study showed how MCP servers quietly drift into running code nobody reviewed. This issue follows the usual…",
  "key_points": [
    "Anthropic released Claude Fable 5.2 and Mythos 5.2 on November 9",
    "Fable 5.2 priced at $8 per million input tokens, $40 per million output tokens",
    "Meta unveiled Muse Ember, the smallest and cheapest Muse model"
  ],
  "editors_take": "Anthropic's new pricing and specialized safety restrictions signal a strategic shift toward balancing high-performance reasoning with stricter control over sensitive security and biological research applications.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}