OpenAI Just Revaled Something More Terriying Than AGI - RSI is Here!
By Evolving AI
Community Score: 50% | 20.8K views | 3w
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In this video, we break down OpenAI’s recursive self-improvement research, the difference between RSI and AGI, and how AI coding agents are already being used to accelerate parts of AI research. The script also examines OpenAI’s reported “automated research intern” milestone and why research taste choosing the right experiments and recognizing important results remains a major human bottleneck. We also explore three emerging approaches to self-improving AI systems: Dream RSI, which improves an agent’s search strategy using previous attempts; ModularRSI, which identifies and upgrades weak parts of an AI agent’s software harness; and ScienceBuddy, which combines improvements to AI tooling with reinforcement learning and harder automatically generated training tasks. None of these systems currently represents fully autonomous recursive self-improvement, and humans still define goals, evaluations, and resource limits. But together, they provide an early look at how AI agents, automated AI
Tags: OpenAI, OpenAI AGI, AGI, recursive self improvement, RSI AI, self improving AI, AI self improvement, AI building AI, AI training AI, AI research, AI researcher, AI agents, autonomous AI agents, Noam Brown, AGI news, AGI 2026, artificial intelligence, AI, AI news, AI technology
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