Sony AI's 'Ace' robot demonstrates that AI systems trained entirely in simulation can successfully transfer to real-world physical tasks without fine-tuning, achieving 20.2ms end-to-end latency and 200Hz ball tracking to defeat professional table tennis players, marking a breakthrough after 40 years of robotics challenges.
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The 20ms Killer: AI Just Broke Ping-Pong #ShortsAñadido:
40 years of failure.
Then one Sony arm beat the pros.
This week Sony AI put a table tennis robot on the cover of nature.
It reads, "Spin faster than your eyes can register motion."
Robotics has chased this since 1983.
For 40 years the physical world was the one place AI kept losing.
Too slow, too blind, too stiff.
Sony didn't train Ace on real courts.
It learned the whole game in simulation, then walked onto a real table with zero real-world rehearsal.
No fine-tuning.
The physics model just held.
The receipts.
April 2025.
Ace took three of five games from elite amateurs.
Pros swept it.
December 2025.
Ace beat a pro.
March 2026.
Three new pros. Ace took at least one game off every single one.
Intelligence just left the screen.
Save this.
You'll want the date the line crossed.
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