this week in San Jose made me more bullish on open models than ever there is NO WAY opensource AI doesn't win
AI
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xAI Colossus data center to cost more, deliver more compute this year
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The xAI Colossus data center will cost more and deliver far more computing than that this year
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Agents in Production: Unpredictable Behavior Beyond Traditional Software Testing
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New Conceptual Guide: You don’t know what your agent will do until it’s in production With traditional software, you ship with reasonable confidence. Test coverage handles most paths. Monitoring catches errors, latency, and query issues. When something breaks, you read the
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Study Reveals Alarming Patterns in AI Interactions with Delusional Users
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Huge Study of Chats Between Delusional Users and AI Finds Alarming Patterns! https://
share.google/Y8t8UXSKYUaDr1
xrB
… #AI #artificialintelligence -
100 Billion Enterprise AI Bill Pay Agreement Announced
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he says 100b in enterprise bill pay here
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Robot Hand with Tactile Sensing Capability Developed by Boston Dynamics
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A #Robot Hand That Can Feel What It Grips
— Ronald van Loon (@Ronald_vanLoon) 21 mars 2026
by @BostonDynamics
#Robotics #RPA #ArtificialIntelligence #Innovation #Technology pic.twitter.com/0gfl87TpXxA #Robot Hand That Can Feel What It Grips
by @BostonDynamics #Robotics #RPA #ArtificialIntelligence #Innovation #Technology -
Intelligence Required: Automation Demands Human Thinking
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Nothing's really automatic, you still gotta use your brain to make good stuff.
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Shifting AI from hypothesis verification to open-ended discovery
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Taking open-ended discovery with AI to the next level In our most recent AI4Science talk, Bodhi (AI2 researcher, @mbodhisattwa
) introduced a shift from goal-driven analysis to open-ended discovery, where models don’t just verify hypotheses but actively search for new ones. -
MetaClaw: A New Agent Framework for Real-Time Learning and Evolution
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"MetaClaw: Just Talk – An Agent That Meta-Learns and Evolves in the Wild" This paper provides a blueprint for agents to learn and evolve while using. It turns failures into reusable skills right away and only retrains when the user is idle. This framework nearly doubled