Read this somewhere and thought this was spot on: "If you’re going to use an LLM to write me an email, I’d much rather you just send me the prompt; at least then I’d have an idea of what you actually meant to say.”
GENERATIVE AI
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Large model not for home, but enables price competition among suppliers
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Due to its size, the model is not one we celebrate because we can run it comfortably at home, but rather because many suppliers will be able to compete to offer it at a more competitive price than if it were a model from a single supplier.
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Fable 5’s absence drives GLM models to narrow open/proprietary gap
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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
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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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NVIDIA PiD decodes AI latents to 4K in under a second
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Can you decode AI latents to 4K images in under a second? NVIDIA researchers introduce PiD, a pixel diffusion decoder that unifies decoding and upscaling into one fast step. It converts 512×512 latents to 2048×2048 pixels in under 1 sec on a consumer RTX 5090 — 6x faster than
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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