A human just barely beat a humanoid robot at sorting packages. 12,924 vs. 12,732 over 10 hours. The human's forearm is "basically broken." The robot is still going. 131,000 packages. 106 hours. No breaks. The scoreboard tells one story. The endurance tells another.
INDUSTRY
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Questioning the economic sustainability of AI infrastructure spending
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AI may not be a bubble. But some AI spending might be.
— Pascal Bornet (@pascal_bornet) 18 mai 2026
Loved this point from Ann Pettifor because it asks the question I keep coming back to:
Who pays for all this?
Data centers. Chips. Energy. Cooling. Debt.
All built on the belief that future AI profits will justify today’s… pic.twitter.com/e35239BWgCAI may not be a bubble. But some AI spending might be. Loved this point from Ann Pettifor because it asks the question I keep coming back to: Who pays for all this? Data centers. Chips. Energy. Cooling. Debt. All built on the belief that future AI profits will justify today’s
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AI and connectivity reshaping live sports experiences
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Live sports are quietly becoming one of the best examples of how AI and advanced connectivity are reshaping real-world experiences. At the PGA Championship, technologies behind the scenes are helping power faster broadcasts, smoother operations, and more interactive fan
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China’s fully automated AI port moves cargo without humans
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Fully #Automated: China’s #AI-Powered Port Moves Cargo Without Humans
— Ronald van Loon (@Ronald_vanLoon) 17 mai 2026
by @_fluxfeeds#ArtificialIntelligence #MachineLearning #ML #MI pic.twitter.com/pNEu6UX9EnFully #Automated: China’s #AI-Powered Port Moves Cargo Without Humans
by @_fluxfeeds #ArtificialIntelligence #MachineLearning #ML #MI -
Energy, not compute, may be AI bottleneck; Stratos data center uses 9 GW
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Energy, not compute, may become the real bottleneck for AI. The proposed Stratos data center in Utah could consume up to 9 GW of power at full buildout, making it one of the largest data center projects in the world. That is roughly comparable to New York City’s average
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Future AI Wars: Inference Costs, Compute Shortages, and Profitable Scaling
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The next AI war won’t be about training models. It’ll be about: Inference costs Compute shortages Scaling AI profitably Following Cerebras’ IPO, @RodrigoLiang joined @Bloomberg with @mattmiller1973 and @daniburgz to explain why inference could become the biggest
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Machine Learning Drives Predictive Maintenance ROI in Manufacturing
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Georgia-Pacific saved up to $1 million per machine using @AWS machine learning for predictive maintenance on their paper mills. That is the kind of ROI that makes the AI conversation in manufacturing very concrete. #HannoverMesse #ManufacturingAI #AWS #aws_ai pic.twitter.com/JJG9KYAboO
— Lucian Fogoros (@fogoros) 15 mai 2026Georgia-Pacific saved up to $1 million per machine using @AWS machine learning for predictive maintenance on their paper mills. That is the kind of ROI that makes the AI conversation in manufacturing very concrete. #HannoverMesse #ManufacturingAI #AWS #aws_ai
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Machine Learning for Predictive Maintenance in Truck Axle Systems
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Truck Axle – Machine Learning for Predictive Maintenance Using Torque Measurement on an Axle! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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SAP Invites Advisor for AI Transformation After Criticism
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Apparently at @AIEMiami geoff complained about @SAPConcur being dead software and a SAP guy was in the audience and invited him to SAP to advise on how to do AI transformation for 6800 employees TLDR he made fun of SAP, and SAP… concurred
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AI Infrastructure Industry Enters New Phase of Innovation and Competition
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Big moment for the AI infrastructure industry today.
— SambaNova (@SambaNovaAI) 14 mai 2026
The demand for next-generation AI infra providers is becoming impossible to ignore as the market expands beyond a single dominant player.
We're in a new phase — one driven by more innovation, more competition, and more ways… pic.twitter.com/Iao3w4C219Big moment for the AI infrastructure industry today. The demand for next-generation AI infra providers is becoming impossible to ignore as the market expands beyond a single dominant player. We're in a new phase — one driven by more innovation, more competition, and more ways