Seonglae ChoRSI
Hill-climbing machine
Recursive self-improvement
Recursive self-improvement (RSI) is a process in which early artificial general intelligence (AGI) systems rewrite their own computer code, causing an intelligence explosion resulting from enhancing their own capabilities and intellectual capacity, theoretically resulting in superintelligence.[1][2]
https://en.wikipedia.org/wiki/Recursive_self-improvement
MAI thinking 1
Introducing MAI-Thinking-1 | Microsoft AI
With cost-efficient reasoning for a wide-range of intensive enterprise tasks, it achieves SOTA performance on maths, knowledge and coding for its weight class.
https://microsoft.ai/news/introducing-mai-thinking-1/
Self-Harness: Harnesses That Improve Themselves
The performance of LLM-based agents is jointly shaped by their base models and the harnesses that mediate their interaction with the environment. Because different models exhibit distinct...
https://arxiv.org/abs/2606.09498
Computation and Cooperation
They cooperate when energy is shared
arxiv.org
https://arxiv.org/pdf/2609.10817
path
arxiv.org
https://arxiv.org/pdf/2609.11873