🔮 Unbounded self-improvement and its limits #599
Exponential View 1 month ago 51
The article argues that unbounded recursive self-improvement is mathematically possible but practically constrained by factors like generation time and physical limits affecting iteration speed and compute. It cites an OpenAI chip called Jalapeño that was built in about 16 months and reported to deliver 1.5–1.9x higher tokens-per-megawatt peak throughput than comparable Nvidia silicon. As a result, the piece shifts focus from endless RSI to faster, segmented progress across open models and more specialized AI hardware rather than expecting infinite acceleration in AI capabilities.