With the absence of Fable 5's release and the momentum that GLM models (in February GLM 5 and now GLM 5.2) are giving this year, we have experienced the narrowest gap between proprietary and open-source models. It is true that the existence of Fable 5, of which
LLMS
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Looking forward to Sonnet 5 release, better than old Opus
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I'm really looking forward to the release of Sonnet 5. Sonnet has sometimes been more performant than the old Opus models at launch, most clearly with Claude 3.5 Sonnet surpassing Claude 3 Opus in areas like programming, speed, and cost-performance ratio.
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LLMs will claim to equal Fable in a tedious period
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We are not entering a tedious period where many LLMs will claim to equal Fable.
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Google Crushed by Open-Source Chinese Models Despite Infinite Resources
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Google: Infinite data. Unlimited compute. Still crushed by open-source Chinese models
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@testingcatalog — 2026-06-22
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URGENT : Sakana AI a annoncé les systèmes Sakana Fugu et Sakana Fugu Ultra, qui obtiennent des performances équivalentes à Claude Fable 5 et Mythos 5 sur de nombreux benchmarks. > Sakana AI est un laboratoire d’IA japonais, et Fugu est un modèle d’orchestration entraîné pour
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Mixing models loses reasoning context, cache, worsens results
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I wonder how this even works, as soon as you mix models you lose the hidden reasoning context, trash the cache and overall get a worse result?
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Guide to building an AI second brain with Claude and Obsidian
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🚨 Yarchi just published an awesome guide on building an AI "second brain" using Claude and Obsidian
— Charly Wargnier (@DataChaz) 22 juin 2026
Based on @karpathy's LLM Wiki concept, the idea is to stop starting from a blank chat window and start building a compounding knowledge graph.
Obsidian handles the local… https://t.co/Jl8sflLBuH pic.twitter.com/kbXaJaD0gwYarchi just published an awesome guide on building an AI "second brain" using Claude and Obsidian Based on @karpathy
's LLM Wiki concept, the idea is to stop starting from a blank chat window and start building a compounding knowledge graph. Obsidian handles the local -
World Brings AI Agents Into Realistic 3D Environments with Unreal Engine 5
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World Brings #AIAgents Into Realistic #3D Environments with Unreal Engine 5
— Ronald van Loon (@Ronald_vanLoon) 22 juin 2026
by @SciTechera#GenAI #LLM #ArtificialIntelligence #MachineLearning pic.twitter.com/wCx32g16FdWorld Brings #AIAgents Into Realistic #3D Environments with Unreal Engine 5
by @SciTechera #GenAI #LLM #ArtificialIntelligence #MachineLearning -
US government hampers expensive American AI models, industry seeks workaround with small models
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The American models are the ones we want to use, but they're more expensive and now they're hamstrung by the U.S. government, which leaves this industry in a predicament. But you're right: we'll find a way around the damage. One way around it is to use a bunch of small models to
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Codex Cli makes local AI easy with hardware-aware optimization
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Let me make Local AI easy for you Give Codex Cli the article below & tell it: – Infer the right Inference Engine from your hardware + article below
– Use uv+venv
– Pick the right kernels
– Tune flags, batching, KVCache, etc
– Optimize for your hardware & chosen model See? Easy