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19 SEP 2026 · Nathan Lambert

The author, Nathan Lambert, has not bought into the concept of "true RSI" (recursive self-improvement), instead believing that the current pace of AI progress is driven by scaling laws and diminishing returns of adding more AI agents in parallel, rather than a rapid acceleration in intelligence. This is due to the limitations of current techniques and the need for exponential compute and resources to achieve linear improvements in intelligence. AI summary

16 SEP 2026 · Swyx

TypeSafe's Jev, a "System One Model" trained with RLCD, claims to be 20-200x faster and 40-400x cheaper than small frontier LLMs, offering parallel sampling, "no hallucination", and calibration, and is suited for structured classifiers/judges/routing policies in production systems. AI summary