BREAKING: Ricursive just dropped Ripple-65B Preview.
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BREAKING: Ricursive just dropped Ripple-65B Preview. 65B dense. Trained from scratch. $32M full R&D. 80.5 on TerminalBench 2.1, ahead of US open-weight models 8-12x its size (Beam-501B, Muse Spark 816B, Inkling 975B). They did it with ~70x fewer RL rollouts than the prior SOTA, and a ladder that hits Olmo-3-level code performance with 16x less compute. This is not another bigger-MoE-wins release. Ricursive co-designs the model for the chip loop: the same lineage powers their AI chip design platform, then ships a general open-weight cut under Apache 2.0 that runs on a MacBook or DGX Spark.
Posted by Guillermo Flor (13.8k followers) 47 min ago · 0 likes · 119 views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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