I agree those bottlenecks imply it won’t go foom overnight but an RSI-ing ASI may well invent better chip production process, better ways to use current chips, etc. in a way that adds up to permanent advantage.
RESEARCH
-
Jack Clark Predicts 60% Chance of Self-Recursive AI Improvement Within 3 Years
By
–
Pay attention when @jackclarkSF says that there is a 60% chance of self-recursive improvement happening in less than 3 years time. That is the take off scenario – on a timeline that fits with all of Anthropic’s remarkably accurate predictions regarding AI capability development.
-
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
-
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:
-
Deep Learning with Python Now Free to Read Online
By
–
I wrote Deep Learning with Python to be the definitive guide to how deep learning works and how to best make use of it. Tens of thousands of people got their career start via this book. 120,000 copies sold, and downloaded by millions more. And now it's free to read online: