The Last AI Builds the Next: Recursion Will Detach Progress From Human Oversight
r0ck3t23 · x · 2026-10-17
A widely-shared X essay argues that the next AI is increasingly built by the previous AI, with humans shifting from engineering to supervision to mere observation. Key points:
- When a system starts improving what determines its own improvement speed, progress goes from linear to recursive—and our intuitions for linear progress don't apply.
- The author predicts that within a year or two the last bottleneck in the loop closes: the model that designs training runs, writes architectures, and evaluates whether new versions beat itself.
- At that point progress decouples from human review speed and becomes governed by hardware speed; "comprehension is a human bottleneck" that the system doesn't need.
A rhetorical but thoughtful take on recursive self-improvement, heavy on narrative and light on concrete evidence.
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