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
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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