AI’s recursive self-improvement might not come so quickly after all
The bottleneck between iterative automation and true recursive self-improvement.
The AI industry’s boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. LLMs can already write code, generate synthetic data for training, and optimize the computer chips they run on. Forecasts of explosive AI progress predict tha...
MIT Technology Review
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The assumption that AI will inevitably trigger an intelligence explosion relies on the flawed premise that models can perfectly debug and iterate upon their own complex architectures. This shift in perspective suggests that human-in-the-loop oversight will remain a fundamental bottleneck to advancement rather than a relic of the past.
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