Alibaba Qwen3.7 slowly fading into irrelevance at the frontier due to proprietary stance. In it's place we have Minimax M3 and... *checks notes* Rio 3.5 397b, made by the municipal IT company of Rio de Janeiro's city government. huggingface.co/prefeitura-ri…

Alibaba Qwen3.7 slowly fading into irrelevance at the frontier due to proprietary stance. In it's place we have Minimax M3 and... *checks notes* Rio 3.5 397b, made by the municipal IT company of Rio de Janeiro's city government. huggingface.co/prefeitura-ri…

2026 is going to be sick

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As a result of a US government directive, we are suspending access to Claude Fable 5 for all users. You can continue to use all other Claude models. Here’s what this means for you: Across Claude products, new sessions will run on your selected default model or Opus 4.8, and existing Fable 5 sessions will end with an error. On the Claude Platform, requests to Fable 5 will also return an error. Please update your integrations to other Claude models. We know this is a disruption to your workflows; we appreciate your patience and support.

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Fable 5 is doing something wild on our FrogsGame post-training task. It trains a weaker model to solve the puzzle, peaks at 68%, and produces the only ~10x improvement we see across the benchmark. It spent 17 hours, 25M tokens without human in sight. 34% pass@1, while every other frontier model averages under 4%. We will publish a more detailed analysis soon.

What the hell type of bus is this

Como ingeniero en ciencias de la computación, veo a la IA como uno de los softwares más absurdos jamás creados: es solo cálculo probabilístico. Lo surrealista es que la gente le atribuya capacidades de inteligencia real a una simple matriz matemática.

Meanwhile, Anthropic quietly annualized the one-time bumper revenue from Feb-May on the agentic splurge when nobody had any idea what they were paying, to come up with the ludicrous $47BN ARR. Let's see what ARR is next month after clients finally checked their token bills.

Exciting news: Claude Fable 5 ranks #1 on the new Agent Arena leaderboard! Fable 5 leads by the widest margin ever over Opus-4.8 and GPT-5.5 on two key signals: confirmed task success rate and praise vs. complaint, despite weaker steerability. If Fable can do something, it will do it very well. If it can't/doesn't want to do something, it may be hard to steer the model towards the goal. In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks. Models get web search, filesystem, and terminal tools to complete complex workflows: writing code, creating slide deck, researching the web, building apps, and analyzing documents. We use the causal tracing methodology to measure a model's net improvement which indicates how much it improves outcomes relative to the average model. Huge congrats to @AnthropicAI for the incredible milestone! Below we break down how Claude Fable 5 (based on Mythos) scored across 5 signals, drawn from tasks submitted by a global community of users.

While Fable is an amazing model, don't get too excited: it is great, but still has the usual failure models of the other good LLMs we saw in the past, including GPT 5.5. If you look at Anthropic, Opus -> Fable was a huge jump. If you look at the field, GPT 5.5 -> Fable is incremental.