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Tesla Tests Full Self-Driving with Model Y on Japanese Roads
— Ronald van Loon (@Ronald_vanLoon) 19 juin 2026
by @Kenmaeda77
#SelfDrivingCars #AutonomousVehicles #AI #ArtificialIntelligence #Automation #Automotive #Transport pic.twitter.com/wVsTZpg0r3
Tesla Tests Full Self-Driving with Model Y on Japanese Roads
by @Kenmaeda77 #SelfDrivingCars #AutonomousVehicles #AI #ArtificialIntelligence #Automation #Automotive #Transport
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#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
— Ronald van Loon (@Ronald_vanLoon) 18 juin 2026
by @measure_plan
#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/GbkTa4k2Ih
#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
by @measure_plan #ArtificialIntelligence #MachineLearning #ML
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What stood out to me most is not the quality. It’s the speed. AI video systems now let creators: → Turn static images into moving cinematic sequences
→ Add or remove objects with prompts
→ Instantly change lighting, style, and environments
→ Generate video + audio together
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The biggest disruption in filmmaking is not better cameras.
— Ronald van Loon (@Ronald_vanLoon) 18 juin 2026
It’s this:
With tools like the Grok Imagine API from @xai, you can now create and edit cinematic video scenes with simple text prompts.
No production crew.
No reshoots.
No weeks of iteration.
Just ideas → video in… pic.twitter.com/lpjWTtKuuH
The biggest disruption in filmmaking is not better cameras. It’s this: With tools like the Grok Imagine API from @xai
, you can now create and edit cinematic video scenes with simple text prompts. No production crew.
No reshoots.
No weeks of iteration. Just ideas → video in
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#AI Is Now Grading Homework in Chinese Classrooms
— Ronald van Loon (@Ronald_vanLoon) 18 juin 2026
by @Context2X #EdTech #ArtificialIntelligence #Innovation #TechForGood #Technology pic.twitter.com/5ZAu49iJaf
#AI Is Now Grading Homework in Chinese Classrooms
by @Context2X #EdTech #ArtificialIntelligence #Innovation #TechForGood #Technology
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This is why many manufacturers are rethinking where AI decisions happen, not just how good those models are. The shift is moving decision-making to the edge of the network, inside the factory itself. That means:
→ No dependency on distant cloud infrastructure
→ Ultra-low
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Here’s how the hidden latency problem works. A production line runs 24/7. Cameras inspect products in low-latency production environments. AI detects defects. But if that decision happens in the cloud, here’s what occurs:
→ Data leaves the factory → Gets sent to a remote
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Enhancing School Efficiency: Automating Administrative Tasks with #AI
by @antgrasso #ArtificialIntelligence #MachineLearning #ML
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AI’s next bottleneck is not just compute. It is time. Time lost moving data.
Time lost coordinating chips.
Time lost waiting on memory, interconnects, and software layers to catch up. That shift changes how we should think about AI infrastructure. A thread… #HuaweiPartner
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#AI Wardrobe App Picks Your Outfit Based on Weather and Schedule
— Ronald van Loon (@Ronald_vanLoon) 17 juin 2026
by @jayhxmo#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/zxv2Cm6IU0
#AI Wardrobe App Picks Your Outfit Based on Weather and Schedule
by @jayhxmo #ArtificialIntelligence #MachineLearning #ML