Claude Code, if it shipped in 1984:
TOOLS
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Sakana Fugu: Single Model API for Multi-Agent Systems
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Sakana Fugu: Providing Multi-Agent Systems as a Single Model API https://
sakana.ai/fugu-release/#
Japanese
… Related article: Sakana Fugu Technical Report https://
github.com/SakanaAI/fugu/
blob/main/Fugu_technical_report.pdf
… -

New AI math tool sharpens image editing, drug discovery, simulations
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New #AI math tool could sharpen image editing, drug discovery and simulations
by @ClarksonUniv @TechXplore_com Learn more: https://
bit.ly/4gdVImD #ArtificialIntelligence #MachineLearning #ML -

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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AI Glasses: A Natural Layer Between Humans and Intelligence
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AI glasses are not about replacing the smartphone overnight. They are about creating a more natural layer between humans and intelligence. I explored this in my new video with @Meta
. Watch the full video. Would you trust AI glasses more for productivity, creativity, fitness, -

Santander open-sources 11 AI repos for free
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WOW I didn't see this one coming. Enterprise AI teams are spending months building internal infrastructure that Santander just open-sourced FOR FREE The @Santander_es AI Lab just dropped 11 repos under Apache-2.0. And you don't have to be a bank to use these. They released
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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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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 -

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 -

Rocket Close Optimizes Title Operations Using Agentic AI
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How Rocket Close Optimized Title Operations with Agentic AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
