Claude 5 Fable Benchmarks! Holy moly, significant jump even to Mythos
LLMS
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Anthropic lance Claude Fable 5, IA de pointe
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Anthropic just released Claude Fable 5, calling it the company's "next generation of intelligence for the hardest knowledge work and coding problems." "It is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software
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Memories of launches of Claude Opus 3, Sonnet 3.5, and Opus 4.5
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I've been at Anthropic through every model launch. There's been a few cases I can remember of a launch that stands out and marks a step-change in how we use models:
— Alex Albert (@alexalbert__) 9 juin 2026
– Claude Opus 3
– Claude Sonnet 3.5
– Claude Opus 4.5
And now Claude Fable 5.
With Fable, the model stopped… https://t.co/PVivAMNL1XI was at Anthropic for every model launch. There have been a few cases that I remember where a launch stood out and marked a step change in how we use models:
– Claude Opus 3
– Claude Sonnet 3.5
– Claude Opus 4.5
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Fable 5: most intelligent model excels in engineering and knowledge
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Fable 5 is our most intelligent model to date, and by far. SOTA on almost all benchmarks, and it truly excels in software engineering and knowledge work. It can run for days, and its lead over other models increases as
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The sky’s the limit for test-time compute.
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How good is a model if you let it just keep doing more and more test-time compute? Maybe the sky's the limit.
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Anthropic system card PDF link shared by @arrakis_ai
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System card : https://
www-cdn.anthropic.com/d00db56fa754a1
b115b6dd7cb2e3c342ee809620.pdf
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Free LangChain Academy course to monitor and improve agents
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Sign up for free to our LangChain Academy course and get ready to learn how to monitor + improve agents in production.
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LangSmith: costs, trends, quality, latency, and full course
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LangSmith can help you track costs, uncover trends with trace analysis, and monitor quality and latency.
— LangChain (@LangChain) 9 juin 2026
We created a course that walks you through the full stack. pic.twitter.com/8X6T7w6jS2LangSmith helps you track costs, discover trends through trace analysis, and monitor quality and latency. We have created a course that guides you through the full stack.
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MLA implemented using LoRA in Hugging Face Transformers
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I actually agree and just realize that I totally skipped autoencoders here. Small fun fact though: (in Hugging Face transformers) MLA is implemented using the LoRA tooling
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AI garbage flood pushing open-source developers to limit
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Flood of #AI 'garbage' is pushing open-source developers to the limit
by Matthew Sparkes @newscientist Learn more: https://
bit.ly/4vofwaU #Coding #GenAI #AIAgents #ArtificialIntelligence #MachineLearning