Power, soundness and tractability: pick any two.
Sacrifice power: statistics
Sacrifice tractability: symbolic AI
Sacrifice soundness: neural networks
SYSTEMS
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Power, soundness, tractability: the AI trilemma
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Compliant AI systems reduce risk for students and researchers
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Not to mention that having HIPAA and FERPA compliant AI systems makes thousands of students and researchers using them less risky.
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Selling the shovels while others burn 100B tokens monthly
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POV: selling the shovels while others blow through 100B tokens a month https://t.co/ozCVNgO1jg pic.twitter.com/JNFR0sUII1
— The Rundown AI (@TheRundownAI) 2 juin 2026POV: selling the shovels while others blow through 100B tokens a month
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AI identifies cat; bounding box pixel decoding is slow
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An AI can tell you there's a cat in the image. Pointing to the exact pixels is the hard part.
— Satya Mallick (@LearnOpenCV) 2 juin 2026
The reason it's slow: most VLMs spell out a bounding box one coordinate token at a time — some even split "1024" into single digits. But a box's corners are connected. Decode them… pic.twitter.com/eoJu0PiHGUAn AI can tell you there's a cat in the image. Pointing to the exact pixels is the hard part.
The reason it's slow: most VLMs spell out a bounding box one coordinate token at a time — some even split "1024" into single digits. But a box's corners are connected. Decode them -
AI agents’ delegation layers become dependencies and risk
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AI agents make work easier by adding layers of delegation. Awesome! Well…those layers become dependencies, and those dependencies become risk. Not awesome? My @InfoWorld column tackles some recent @mitchellh advice and finds it…mostly good, most of the time
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NVIDIA MGX Enables Agentic Era AI Factories with Vera Rubin
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What does it take to build an AI factory ready for the agentic era?
— NVIDIA (@nvidia) 2 juin 2026
80+ partners joined Jensen Huang at #NVIDIAGTC Taipei to show how NVIDIA MGX is making it possible.
With NVIDIA Vera Rubin, 800 VDC, and partners spanning systems, power, and cooling, NVIDIA MGX is turning… pic.twitter.com/f7F4gjtAf5What does it take to build an AI factory ready for the agentic era? 80+ partners joined Jensen Huang at #NVIDIAGTC Taipei to show how NVIDIA MGX is making it possible. With NVIDIA Vera Rubin, 800 VDC, and partners spanning systems, power, and cooling, NVIDIA MGX is turning
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NVIDIA announces Vera CPU: 80% faster agentic task completion than x86
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The AI era needs a new CPU.
— NVIDIA (@nvidia) 2 juin 2026
Meet NVIDIA Vera, 80% faster agentic task completion than x86.
Built for AI factories. Built for what's next. The CPU for agents has arrived.
🔗 https://t.co/Qe1S4f4Qz5 pic.twitter.com/p7nh6ot6r8The AI era needs a new CPU. Meet NVIDIA Vera, 80% faster agentic task completion than x86. Built for AI factories. Built for what's next. The CPU for agents has arrived. https://
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Beyond moving agents: Durable platform, harness, and realistic dev environments are key.
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A great cloud agent experience involves a lot more than moving a local agent to a server. We've learned that it requires a durable execution platform, a powerful harness, and the tools and infra to give agents realistic development environments.
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Orchestrator agent dispatches sub-agents for entity research and verification
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An orchestrator agent maps out which rows belong and where to find them, then dispatches sub-agents that each research one entity, verify it against real pages, and insert a row with sources attached. Schema inference runs on Claude Sonnet 4.6, the agents on Qwen3.7-max, all
