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средняя общеобразовательная школа имени декабристов, AI Coding Agents Use Evolutionary AI to Boost Skills - IEEE , AI Improves At Improving Itself Using an Evolutionary Trick , The Darwin Gödel Machine: AI that improves itself by , Darwin Godel Machine: Open-Ended Evolution of Self-Improving , AI Improves at Improving Itself Using an Evolutionary Trick, New MIT AI Rewrites its Own Code : And it’s Changing , Darwin-Gödel Machine: The First Self-Improving AI System Is .
I guess we can wait 4 billion years for an LLM to work out how to do arithmetic thenIt shouldn't take 4 billion years; on the contrary, I believe this will be very fast. This is a problem, because I don't think society will have enough time to adapt, leading to turmoil and potentially big trouble.The reason why I think the change will be very fast is the fundamental difference between biological evolution and technological evolution. Biological evolution uses a Darwinian model, whereas technological evolution uses a [wikipedia.org] one. In Lamarckian evolution, the offspring inherits the physical characteristics the parent acquires during its lifetime. For example, say some giraffe ancestor starts eating leaves higher up on trees; the effort will strengthen its neck and maybe get it a little longer. Lamarck's assertion is that the offspring will be born with a slightly longer neck than the parent's.Biological evolution happens via Mendelian genetics - acquired characteristics don't get inherited (barring some minor effects of epigenesis). This makes it SLOW. However, improvements acquired by a generation of some technology do get passed on to the next generation. The speed of technological evolution is explosive, compared to biological evolution. We have seen it already, as a single human generation saw technology evolve from horses and carts to landing on the Moon.We see the same break-neck speed of change in AI. Just a couple of years ago we were all laughing about clumsy six-fingered figures; now, we're talking about making full-length feature movies with AI. I also think that the technology still has a long way to plateau, and I don't know what will happen along the way., AI Improves at Improving Itself Using an Evolutionary Trick Researchers use evolutionary algorithms to enhance AI coding skills Matthew Hutson 26 Jun 2025, AI Improves At Improving Itself Using an Evolutionary Trick (ieee.org) 20 Posted by EditorDavid on Saturday June 28, 2025 @09:34PM from the world's-scariest-sandbox dept..
One tantalizing path toward that goal is an AI that improves itself by rewriting its own code, including any code responsible for learning. That idea, known as a Gödel Machine, proposed by Jürgen Schmidhuber decades ago, is a hypothetical self-improving AI., We introduce the Darwin Gödel Machine (DGM), a self-improving system that iteratively modifies its own code (thereby also improving its ability to modify its own codebase) and empirically validates each change using coding benchmarks., In April, Microsoft’s CEO said that artificial intelligence now wrote close to a third of the company’s code. Last October, Google’s CEO put their number at around a quarter. Other tech companies can’t be far off. Meanwhile, these firms create AI that will presumably be used to help programmers further. Researchers have long hoped to fully close the loop, creating coding agents that , Discover how MIT’s SEAL AI overcomes limits, rewrites its code, and adapts autonomously. A game-changer for artificial intelligence., Darwin-Gödel Machine builds an archive of agents through open-ended exploration, with each agent iteratively improving itself with self-modification and downstream task evaluation., .