Allie Laabs is the founding DevRel at TypeSafe AI, the lab behind Jev, the first public System 1 model. On ThursdAI she explained how Jev's choice, score, and null primitives expose calibrated probabilities directly to code, why LLMs are the wrong tool for machine-to-machine decisions, and how RLCD (reinforcement learning for calibrated decisions) training makes output tokens too cheap to meter.
Allie Laabs appeared as a guest on ThursdAI, the weekly AI news podcast hosted by Alex Volkov. Browse the full guest directory or subscribe on Substack to never miss an episode.
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