running agents on my laptop is the first time in a long time where i feel my computer is underpowered i could actually consume way more RAM and GPU if it was available
AGENTS
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MiniCPM-o 4.5 for omni-modal interactions
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MiniCPM-o 4.5 Towards Real-Time Full-Duplex Omni-Modal Interaction paper: https://
huggingface.co/papers/2604.27
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Managing AI Agents as Iterative Systems and Team Dynamics
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viv always says it better than me lots of talk recently of thinking of agents as systems to measure and iteratively improve but – thats not JUST a technical thing. its also a human & team thing
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Governance requirements for multi-agent AI systems
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and when you do it with 100 diff agents you need some organizational governance
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Tutorial on building production-grade AI agents
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Voici la vidéo pour apprendre comment construire des agents d'IA de production.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 9 mai 2026
30 minutes. gratuit. par les ingénieurs qui l'ont construit. pic.twitter.com/u3z3EvKMySVoici la vidéo pour apprendre comment construire des agents d'IA de production. 30 minutes. gratuit. par les ingénieurs qui l'ont construit.
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Iterative improvement loops for AI agent development
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the best teams building agents ship early and iterate quickly you can't just ship an agent and then forget about the key to getting the best agents is to build an iterative improvement loop
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Defining AI Agents as Systems Beyond the Model
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agents are definitionally a system around a model lots more than a model!
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Popular AI agent frameworks for development
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Custom (just a python file) and Viktor seem to be most popular right now
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Using MCP Connectors and Prompts for AI-Driven Data Audits
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Three ways to deploy this: MCP Connectors (strongest): If you use Claude with Google Calendar, Notion, or any connected app, paste the prompt and say "read my calendar for this week." Claude pulls your real schedule and runs the audit on live data. Spreadsheet upload: Export
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RouteMoA: Efficient AI Agent Collaboration via Intelligent Model Routing
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What if you could boost AI agent collaboration while slashing costs by nearly 90%? Researchers from SJTU, CUHK, Tencent, and NTU present RouteMoA. Instead of running every model first, a lightweight scorer predicts each model’s potential from the query alone, then a mix of