Prime Intellect lays out continual learning roadmap: mining agent exhaust for self-improving models
willcb · x · 2026-10-23
willcb of Prime Intellect describes the lab's continual learning north star: a dual client-facing and fundamental research team training domain SOTA models while researching self-improvement and long-horizon memory. The shared roadmap lists open problems — knowledge acquisition, harness-weight tradeoffs, user modeling, dynamic preferences, selective forgetting, data efficiency, company-scale simulation. Most deployable today: converting agent "exhaust" into training signal, reducing reliance on big-lab models.
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