input tokens are the real driver here. agent re-reads the entire context on every single loop
MACHINE LEARNING
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MIT Study: AI Agent Token Costs Dominate Inference Economics
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MIT just killed the idea that cheaper tokens mean cheaper AI. A paper from MIT, Stanford, Google DeepMind, and Microsoft found agents use 1000x more tokens than chat. The cost isn't the code they write. It's re-reading context on every loop. Same task, same model: 30x cost
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Top 6 Design Patterns for Agentic AI
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Top 6 Design Patterns for #AgenticAI
by @ingliguori #LLM #GenAI #ArtificialIntelligence #MachineLearning -
MiniMax-M2 Agent-Native RL Training Paper Released
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MiniMax-M2 paper just dropped The key focus of M2 is on something more agent-native. It trains on runnable workspaces and artifact-grounded rewards, then uses Forge to scale RL over long coding, app, search, and office-task trajectories. What's interesting is that M2.7
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High-Performance AI Software Won’t Be Vibecoded
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The amount of software that will need to be written for AI in high performance and specialized languages far exceeds your imagination and it WILL NOT be vibecoded
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Super Study Guide for Transformers and Large Language Models
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Super Study Guide: Transformers & Large Language Models: http://
amzn.to/3SW6YYm by @afshinea & @shervinea Beautifully presented, excellent content, timely, thorough, educational #LLMs #MachineLearning #AI #GenAI #DataScience #DataScientist #GenerativeAI -
Hyundai and Boston Dynamics Train Atlas Robots Using Video Analysis
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Hyundai Motor Group and Boston Dynamics are going to train Atlas humanoid robots by analyzing football videos 👀
— Amitav Bhattacharjee (@bamitav) 27 mai 2026
pic.twitter.com/3fJshZS51g#humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI@sonu_monika @enilev…Hyundai Motor Group and Boston Dynamics are going to train Atlas humanoid robots by analyzing football videos #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @sonu_monika @enilev
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Huawei’s EDCO: Dynamic Curriculum Orchestration for Real-Time LLM Adaptation
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What if fine-tuning a large language model could adapt its training in real-time, not just follow a static plan? Researchers from Huawei introduce EDCO, a dynamic curriculum orchestration framework. Instead of pre-ordering training samples by difficulty, EDCO prioritizes data
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Successful optimization over trillions of variables: unprecedented feat
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Even if it's not AGI, successful optimization over trillions of variables is an unprecedented feat for humanity.