Anthropic is paying SpaceX $1.25 billion per month for compute. Per month. That's $15 billion a year flowing to a company whose total annual revenue is $18 billion. One AI lab is about to account for the majority of SpaceX's commercial income. We only know this because SpaceX
GENERATIVE AI
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Google I/O: Gemini Updates and AI-Powered Search Redesign
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Si vous l'avez raté, Google vient de faire sa plus grosse conférence IA de l'année : GOOGLE I/O Gemini 3.5, Gemini Omni, Gemini Spark. Antigravity 2.0 pour les développeurs. Des lunettes AR avec Samsung.
ET surtout, une refonte complète de Google Search. (gros changements pour -
AutoResearchClaw: Autonomous AI Research with Collaboration
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AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration As real-world science is iterative, this paper introduces AutoResearchClaw, a multi-agent system that debates ideas, self-corrects experiments, decides whether to pivot or refine, verifies data, and
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DECS fixes LLM overthinking by cutting redundant tokens
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Overthinking is killing LLM reasoning efficiency. DECS fixes it by surgically cutting redundant tokens without hurting performance. Current RLVR models generate excessively long reasoning paths with zero gain. Existing length penalties backfire—they penalize essential
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Gemini 3.5 Flash Tops Automation Benchmark
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Gemini 3.5 Flash ranks first on the Automation Bench (by Zapier), outperforming all other leading models at a significantly lower cost.
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Codex Cli Makes Local AI Effortless: Hardware, Model & Performance Optimization
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Local AI Is Now Easy With This 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? SO EASY -
Gemini Omni Video Editing Capability
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https://t.co/SNJeru8LEt pic.twitter.com/UiKj0LQqFg
— Linus ✦ Ekenstam (@LinusEkenstam) 21 mai 2026Gemini Omni is so fun – insanely great at editing videos!
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Agent Swarms for Apps and Automations
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🚨 AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS WITH ONE PROMPT
— Abacus.AI (@abacusai) 21 mai 2026
Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems
Each agent excels at a particular task – coding, testing, mobile app, research and monitoring
Master agent orchestrates… pic.twitter.com/QGfgUPNT84AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS WITH A SINGLE PROMPT Combine Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to create advanced multi-agent systems. Each agent specializes in a specific task—coding, testing, mobile app development, research, and monitoring. A master agent orchestrates the workflow.
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Free online bible for running LLMs locally on any hardware
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DROP EVERYTHING The bible for running LLMs locally is now available online to read for free Covers what to use on – Laptop / edge / odd hardware
– Mac-first workflows
– Single RTX GPUs
– 2-4+ NVIDIA / CUDA GPUs
– General production serving
– Long-context / MoE / routing
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