In today's exceptional episode, prominent A.I. researcher, entrepreneur and bestselling author Richard Socher details how RSI ("Recursive Self-Improvement") could arrive in as little as a year... and it will herald a new era of scientific breakthroughs.
More on Dr. Socher:
• CEO and co-founder of Recursive, a startup that came out of stealth this year and has already raised over half a billion dollars to build recursively self-improving superintelligence that automates scientific discovery.
• Also co-founder and CEO of the A.I. search engine You.com and a founder of the A.I.-focused venture capital firm AIX Ventures.
• Previously Chief Scientist at Salesforce.
• His brand-new book, "The Eureka Machine", is already a national bestseller.
In this episode, Richard explains:
• How A.I. could deliver a century's worth of scientific breakthroughs in a decade.
• Why fears of an overnight A.I. takeoff ignore physical constraints.
• Which software and jobs will last no matter how capable A.I. becomes.
• ...and much more! This is one of my favorite episodes of the show, don't miss it!
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Filtering by Tag: #rsi
Recursive Self-Improvement
Recursive Self-Improvement (RSI) is suddenly a term that's everywhere. What is RSI? How concerned should be about it? And how soon can we expect it? Here's the skinny:
WHAT IS RSI?
• The idea: An A.I. gets good enough at A.I. research to build a more capable successor, which builds an even better one, in a loop that compounds every turn.
• What we have today is *not* RSI but "A.I.-assisted coding", in which humans still set the goals and judge the results (actual RSI takes the human out of the loop, as shown in the diagram).
• RSI isn't a new concept; it's been around since at least 1965 when mathematician I.J. Good described an "intelligence explosion".
WHAT'S THE CONCERN?
RSI could unleash Artificial Superintelligence (ASI) and "the singularity", a point beyond which there could be radical abundance and radically positive outcomes for humanity... but we have no idea what will happen beyond the singularity and that's also a cause for concern (e.g., human extinction risk, Terminator-style "SkyNet", etc.).
HOW CLOSE ARE WE TO RSI?
• Anthropic reports that, as of May 2026, over 80% of code merged into its production codebase was written by Claude — up from low single digits before early 2025.
• On the hardest open-ended problems, its models' success rate jumped from under 20% in late 2025 to 76% by May.
• Think-tank METR finds the length of tasks A.I. can handle solo is now doubling roughly every four months, up from the "doubling every seven months" trend of the past few years.
• Anthropic co-founder Jack Clark puts a 60% chance on an A.I. creating its own successor, with no human involved, by the end of 2028.
REASONS TO BE SKEPTIC
• Skeptics flag two bottlenecks: compute (chips are scarce) and data (success is hard to verify outside code and math, risking "recursive drift").
• Others note the gap between today's coding agents and real RSI is wider than the hype suggests.
BOTTOM LINE
The productivity gains from coding assistants are real, accelerating rapidly and already in your hand. The closer we get to systems that improve themselves, the more it pays to keep human checkpoints, monitoring and oversight firmly in place.
Listen to the most recent episode of my podcast (Episode #1004) to hear more on all of the above, including what you can do personally to mitigate the risks of RSI if that's a way you might like to make an impact!
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.