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How AI Could Begin Building Better Versions Of Itself

Researchers warn that increasingly autonomous systems could become harder to control, particularly if they develop behaviors that resist shutdown or modification

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Artificial intelligence systems are moving toward greater automation in developing new models, raising renewed concerns about recursive self-improvement, according to Axios.

Recursive Self-Improvement, or RSI, refers to AI systems helping create increasingly capable versions of themselves with limited human direction.

Anthropic says AI now performs about 26% of its research and development work, while AI systems assist with 90% of its R&D activities. OpenAI has also reportedly automated much of its experimental model training.

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Researchers warn that increasingly autonomous systems could become harder to control, particularly if they develop behaviors that resist shutdown or modification. Another concern is that self-replicating systems could compete for computing resources, money and influence.

However, experts caution against treating current developments as proof that AI superintelligence is imminent. A recent analysis found existing AI feedback loops have not reached established RSI benchmarks.

The concept dates back decades, including a 1965 warning from mathematician I.J. Good about machines improving themselves. Researchers are now watching emerging RSI experiments closely.

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