As generative AI hits economic and latency bottlenecks, a new paradigm is emerging: dedicated AI judgment models engineered for probabilistic evaluation rather than text output. Trained via Reinforcement Learning for Calibrated Decisions (RLCD), systems like Typesafe's Jev transform messy human context into deterministic software triggers at a fraction of traditional LLM costs. Meanwhile, political realignments and corporate safety debates highlight a shifting landscape where model architecture must balance raw capability with governance, cost efficiency, and organizational control.
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aiflash.com — original article