How #AI is powering the next generation of robotaxis
by @tim @rafeuddin_ @ian_bott_artist @BobHaslett @ft Learn more: https://
bit.ly/3QH8bEE #ArtificialIntelligence #ML #MachineLearning
MACHINE LEARNING
-

How AI Is Powering the Next Generation of Robotaxis
By
–
-
AI Hallucinations are Temporary
By
–
Love Germany. I'm half German. When it's nice there it's really nice.
-

Nemotron 3 Super Tops Open Source EnterpriseOps-Gym Leaderboard
By
–
Benchmarks should reflect real-world performance. That’s why we’re excited to share that Nemotron 3 Super has topped the open source category on the EnterpriseOps-Gym leaderboard. This agentic gauntlet evaluates performance across 1,150 tasks in fully interactive environments
-
MLX vs llama.cpp for Inference on Apple Silicon
By
–
MLX is often better on Apple Silicon from my experience llama.cpp is my fallback method
-
Clark’s RSI definition: frontier model trains successor, not human obsolescence
By
–
Note Clark’s definition of RSI here, from his newsletter, is “a frontier model is able to autonomously train a successor version of itself.” This is a weaker claim than what I assumed he meant, which was that human researchers would no longer be useful vs. AI ones.
-
Empathy as Hidden State Modeling in AI Agents
By
–
With empathy, do you mean the ability to model the hidden states of another agent?
-
Auditing CV Model Failure Modes Before Production Deployment
By
–
Accuracy is table stakes. Failure modes decide whether your CV model survives production.
— Satya Mallick (@LearnOpenCV) 4 mai 2026
Same benchmark scores. Opposite real-world performance.
Dr. Satya Mallick on what to audit before you ship 👇#ComputerVision #MachineLearning pic.twitter.com/USnlxQsp9kAccuracy is table stakes. Failure modes decide whether your CV model survives production.
Same benchmark scores. Opposite real-world performance.
Dr. Satya Mallick on what to audit before you ship #ComputerVision #MachineLearning -
HexRunner Achieves Stable 30 MPH Locomotion Through Engineering Design
By
–
Designing for Speed: How HexRunner Achieved Stable 30 MPH Locomotion
— Ronald van Loon (@Ronald_vanLoon) 4 mai 2026
by @lukas_m_ziegler
#EmergingTech #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/1BRRejkfW4Designing for Speed: How HexRunner Achieved Stable 30 MPH Locomotion
by @lukas_m_ziegler #EmergingTech #Engineering #ArtificialIntelligence #Innovation #Technology -
Frontier model can autonomously train successor version
By
–
In his newsletter, he defines it as “a frontier model is able to autonomously train a successor version of itself,” which I admit is a weaker definition than what I assumed he meant (human AI researchers no longer useful vs. AI ones)
-
Jack Clark: 60% probability of RSI by end of 2028
By
–
Anthropic co-founder Jack Clark says 60% chance of RSI by end of 2028: