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.
AI
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Concentration of power, capabilities, wealth in AI: open source needed
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The concentration of power, capabilities, and economic wealth is the greatest risk in AI. We need open science and open source more than ever!
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Smart AI Voice Recorder Converts Speech to Multilingual Summaries
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Smart #AI Voice Recorder Converts Speech Into Instant Multilingual Summaries
— Ronald van Loon (@Ronald_vanLoon) 10 juin 2026
by @ViralRushX#ArtificialIntelligence #Innovation #Tech #FutureTech pic.twitter.com/P5v9vpQmP4Smart #AI Voice Recorder Converts Speech Into Instant Multilingual Summaries
by @ViralRushX #ArtificialIntelligence #Innovation #Tech #FutureTech -
Scroll in /usage for a detailed summary of consumed tokens
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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.
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Claude Fable 5 Hints Future AI Competition Key Is Capability Boundary Design
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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'. -
Disappointment at Anthropic’s silent degradation of Fable 5
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As advocates of open research, we are disappointed to see Anthropic silently degrading Fable 5 for AI development. "Any topic related to building pre-training pipelines, distributed training infrastructure, or the design
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Fable’s pelicans for thinking effort levels and API costs
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Here are Fable's pelicans for the different thinking effort levels, plus how much each one cost to generate via the Claude API
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First impressions of Claude Fable 5: slow, expensive, capable
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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.
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Insane alpha from Claude Code reveals horror of shipping without Fable Check
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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