RSI is the new AGI — and it’s just as hard to pin down
AI labs are chasing recursive self-improvement, but the concept remains fuzzy and far from proven.
TechCrunch reports that recursive self-improvement, or RSI, is becoming a new AI industry fixation, much like AGI. Researchers and startups including Recursive Superintelligence, Auto-Research, AutoScientist, and Disarray are exploring ways for AI systems to automate parts of AI research. But experts caution that AI-assisted research is not the same as fully autonomous self-improvement, especially while models still struggle with long-term self-direction and verification.
This TechCrunch article describes RSI (Recursive Self-Improvement) as a new buzzword heating up in AI circles, with a status somewhat like AGI over the past few years: everyone is talking about it, but the definition and timeline remain vague. The basic concept is that if an AI system can continuously improve itself and progressively replace humans in proposing research ideas, implementation, validation, and iteration, it could form a closed loop; once AI becomes better than humans at managing this upgrade process, the pace of progress could theoretically be limited only by resources such as compute.
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