Yes there's 2 separate pieces: 1) if apparently doing cyber sec stuff, downgrade to opus and warn; 2) if apparently trying to improve frontier LLMs, silently sabotage the work. (That 2nd one reads like an insane conspiracy theory! But it's actually documented by Anthropic.)
LLMS
-
Claude Fable consistently nails harder tasks with /loop prompts
By
–
I keep throwing harder and harder tasks at Claude Fable and it just keeps nailing them. I’m genuinely struggling to find something it doesn’t get on the first try with a good /loop prompt.
-
Claude Fable makes testing other models feel pointless
By
–
Testing models for other labs just feels completely pointless now after trying Claude Fable. Genuinely feels like a waste of time… this model is just so above and beyond incredible. Hats off to the Anthropic team.
-
Scroll in /usage for a detailed summary of consumed tokens
By
–
Scroll down a bit in the /usage view to see a detailed summary of which specific skills/MCPs/plugins are consuming your tokens, in order to optimize token usage.
-
Claude Fable 5 Hints Future AI Competition Key Is Capability Boundary Design
By
–
Claude Fable 5 这次最值得看，不只是“更强模型发布”。
— 艾略特 (@elliotchen100) 10 juin 2026
而是 Anthropic 开始把最前沿能力拆成两层：大众可用的 Fable，加安全分类器；受信任场景里的 Mythos，开放更少限制。
AI 产品接下来竞争的关键，可能会从“谁的模型最强”，变成“谁能把能力、风险和分发边界设计清楚”。 https://t.co/t8vlcSB4KVClaude Fable 5 is the most noteworthy this time, not just because of a 'stronger model release'.
Rather, it's that Anthropic has started splitting cutting-edge capabilities into two layers: Fable, available to the public with a safety classifier; and Mythos, used in trusted scenarios with fewer restrictions.
The key to future AI product competition may shift from 'whose model is strongest' to 'who can clearly design the boundaries of capabilities, risks, and distribution'. -
Fable’s pelicans for thinking effort levels and API costs
By
–
Here are Fable's pelicans for the different thinking effort levels, plus how much each one cost to generate via the Claude API
-
First impressions of Claude Fable 5: slow, expensive, capable
By
–
I wrote my first impressions of Claude Fable 5 – it feels like a big model: slow, expensive and capable of handling almost everything I threw at it.
-
Insane alpha from Claude Code reveals horror of shipping without Fable Check
By
–
btw insane amounts of alpha in telling claude code to "review my code for issues" on Fable rn while it is not pay per use be prepared to be in abject horror that you shipped anything to prod without a Fable Check™ first
-
AI Inference: RDUs, Memory, Parallelism for Token Generation
By
–
What actually happens during AI inference?
— SambaNova (@SambaNovaAI) 9 juin 2026
This video breaks down how RDUs, memory architecture, and multi-level parallelism work together to generate thousands of tokens in parallel across racks.
Built for scalable, real-world AI inference 🦾
Learn more:… pic.twitter.com/YUzEP9hBsrWhat actually happens during AI inference? This video breaks down how RDUs, memory architecture, and multi-level parallelism work together to generate thousands of tokens in parallel across racks. Built for scalable, real-world AI inference Learn more: