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Dream Labs emerges from stealth with $90M in seed funding and Dream-1, a World Action Model that drives 27 robots it was never trained on over a public API at $3 an hour, about $0.0013 per action.
Convai Innovations' open answer to TypeSafe Jev: a 421M non-autoregressive decision model trained with RLCD proper scoring rules, plus the README's honest limits and real Jev comparisons.
Jev-style fixed-answer scoring reproduced locally with SGLang /v1/score: single-token labels, restricted softmax, confidence-gated routing, and a 6 ms vs 1088 ms benchmark against generation.
A deep read of TypeSafe's first System One Model: three question primitives, the economics of parallel calls, confidence-gated routing, eval caveats, eight jagged edges, and the OpenJev local repro.
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