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.
MACHINE LEARNING
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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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Sakana Fugu: A single model to lead multiple agents
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🐡 Sakana Fugu リリース 🐡
— Sakana AI (@SakanaAILabs) 22 juin 2026
マルチエージェントを指揮する、一つのモデル
ブログ：https://t.co/diW4HI2GwQ
本日、Sakana AIは新しいプロダクト「Sakana Fugu」の提供を開始しました。Sakana Fuguは、最先端のモデル群からなるマルチエージェントシステム全体を、単一のモデルAPIとして提供します。… https://t.co/O2rQNj2IeSSakana Fugu Release
A single model that leads multiple agents Blog:
https:// sakana.ai/fugu-release/#
Japanese
… Today, Sakana AI launches a new product, "Sakana Fugu". Sakana Fugu is a multi-agent system composed of a set of state-of-the-art models, provided under the -
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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Benchmark for testing agent self-evolution
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Allow me to present our Benchmark, which is specifically designed to test the self-evolution capability of Agents, which is absolutely crucial. This year, we have constantly explored the direction of self-improvement / self-evolution, because we have
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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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Sakana AI’s Fugu Ultra ties with Fable 5
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Sakana's Multi-Agent ties with Fable 5: Sakana AI's Fugu Ultra may not be a new state-of-the-art model in the classic sense. It is more like a learned orchestration layer that transforms multiple state-of-the-art models into a coordinated team of agents.
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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