The old model was simple:
you had an idea,
then translated it into syntax,
then fought the tooling until it worked. The new model looks very different: → describe the app in plain language
→ generate the interface, logic, and structure
→ test it
→ refine it through feedback
@ronald_vanloon
-
Old model vs new: from syntax to plain language
By
–
-
Could AgenticAI topple grant-funding systems? Nature article
By
–
Could #AgenticAI topple grant-funding systems?
by Geraint Rees James Wilsdon @Nature Learn more: https://
bit.ly/4eexZBK #AI #GenerativeAI #ArtificialIntelligence #MachineLearning #MI -
3 Business Cases of Generative AI by Gartner
By
–
3 #Business cases of #GenAI
by @Gartner_inc #GenerativeAI #ArtificialIntelligence #MachineLearning -
Will AI Replace You? by Khulood_Almani
By
–
Will #AI Replace You?
by @Khulood_Almani #ArtificialIntelligence #MachineLearning #ML #FutureOfWork -
AI-Powered Balcony Defense System Detects and Sprays Pigeons Automatically
By
–
#AI-Powered Balcony Defense System Detects and Sprays Pigeons Automatically
— Ronald van Loon (@Ronald_vanLoon) 30 mai 2026
via @sciencegirl#ArtificialIntelligence #EmergingTech #Engineering #Technology pic.twitter.com/LMhGKaEx8v#AI-Powered Balcony Defense System Detects and Sprays Pigeons Automatically
via @sciencegirl #ArtificialIntelligence #EmergingTech #Engineering #Technology -
Mouse-Inspired Robot Uses Brain-Like Navigation to Learn
By
–
Mouse-Inspired #Robot Uses Brain-Like Navigation to Learn and Recognize Places
— Ronald van Loon (@Ronald_vanLoon) 29 mai 2026
by @lukas_m_ziegler#AI #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/7ohHvdvTcVMouse-Inspired #Robot Uses Brain-Like Navigation to Learn and Recognize Places
by @lukas_m_ziegler #AI #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
AI Performance as System-Level Enterprise Challenge
By
–
The enterprise takeaway is simple: AI performance is now a system-level challenge. The winners will optimize chips, memory, interconnects, software, and architecture together. Less latency means faster intelligence.
Less movement means lower cost.
Less waste means AI that can -
LogicFolding: 3D Chip Architecture for AI Inference Optimization
By
–
One concept that makes this practical is LogicFolding. Traditional chips spread logic across a flat surface. LogicFolding brings related logic closer together by moving toward more 3D structures. Less distance means less delay. And in AI workloads, small delays compound fast.
-
Tau Scaling Law: Beyond Chip Size in AI Systems
By
–
This is the idea behind Tau Scaling Law, also known among peers as Her’s Law. Instead of asking only, “How small can the chip get?” We now have to ask: → Where is time being lost?
→ Where is data waiting?
→ Where are signals traveling too far?
→ Where is the system -
Teaching Robots Complex Tasks Without Extensive Training
By
–
Teaching #Robots to do complex tasks WITHOUT spending hours training them
— Ronald van Loon (@Ronald_vanLoon) 29 mai 2026
via @IlirAliu_
#Robotics #AI #ArtificialIntelligence #MachineLearning #MI #Tech pic.twitter.com/QsA3VhFyOITeaching #Robots to do complex tasks WITHOUT spending hours training them
via @IlirAliu_ #Robotics #AI #ArtificialIntelligence #MachineLearning #MI #Tech