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#System 1 Model (2)

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Laya: a 421M non-autoregressive System 1 decision model at 33 ms per forward pass

Convai Innovations' open-source non-autoregressive System 1 decision model: 421M parameters, ModernBERT backbone with [MASK] option extraction, one 33 ms forward pass per calibrated decision, Apache-2.0; trained with RLCD strictly proper scoring rules for honest probabilities; the model card ships a real benchmark against Jev plus an honest limitations list. Positioned for edge and high-concurrency small decisions (game NPCs, dialogue policy, request routing), not long reasoning or open generation.

33 ms单次前向延迟(421M,官方)Vendor Claim · 2026-09
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Laya: a 421M non-autoregressive System 1 decision model at 33 ms per forward pass
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Jev: TypeSafe's first System One Model types decisions and prices them two orders of magnitude lower

TypeSafe's first System One Model: outputs are type-safe structured values under three question primitives (Noul/Choice/Score) rather than strings, trained with RLCD for calibrated decision probabilities. The official 13-question parallel experiment makes one synthesized call ~12.2x cheaper and ~10.0x faster than 13 separate calls; four-workflow mean accuracy 67.8% at /tmp/run_ingest2.sh.0004 and 0.4s per instance - opus 5 / sol tier accuracy at almost two orders of magnitude less cost; input $0.042/M tokens, output free. Ships an OpenJev local reproduction path and an eight-item caveats list.

67.8%四工作流平均准确率(官方评测)Vendor Claim · 2026-09
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ProductTypeSafeSiteRepo
Jev: TypeSafe's first System One Model types decisions and prices them two orders of magnitude lower