Ripple-65B dense model from scratch beats 975B giants on agentic coding

afurgs · x · 2026-11-05

RicursiveAI released Ripple-65B Preview, a dense LLM pretrained from scratch that claims US open-weight SOTA on agentic coding, beating much larger models like Inkling-975B and Nemotron 3 Ultra-550B. Commentary explains the intuition: dense params serve reasoning rather than memory — Ripple wins on Terminal-Bench (80.5 vs Beam's 80.1 at 2.8x compute per token) but loses on knowledge tasks (SimpleQA 10.1, MMLU 83.7). It fits on a single RTX Pro 6000 Blackwell at NVFP4.

Related event: Ricursive open-sources Ripple-65B, claims US open-weight agentic coding SOTA at a tenth of the cost(33 posts)→

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