Ripple-65B Preview: 65B Dense Model Claims Open-Weight SOTA on Agentic Coding
annadgoldie · x · 2026-11-06
RicursiveAI releases Ripple-65B Preview, a 65B dense LLM pretrained from scratch, claiming a new state-of-the-art among U.S. open-weight models on agentic coding tasks — surpassing much larger models like Muse Spark Open-816B, Beam-501B, Inkling-975B, and Nemotron 3 Ultra-550B. DeepMind researcher Anna Goldie highlighted its "very unique style."
More from coding & agent
- Perplexity launches Teammates, work-focused AI agents to rival OpenAI and Anthropic — The Verge AI · 2026-11-06
- Horoi: open-source tool turns ontology files into docs pages with auto-generated diagrams — _AustinCalvert_ · 2026-11-06
- A confidence agent for supply-chain multi-agent systems, shipped in one day with Beaker — VictorSanh · 2026-11-06
- Sentry's Agent Tracing: 5 ways to debug AI apps, from evals to cost alerts — zeeg · 2026-11-06
- GradiumAI open-sources Phonon: fully on-device TTS for voice-enabled agents — mattturck · 2026-11-06
- Fluency, not latency: HRI metrics offer a better benchmark for real-time AI agents — Stefania_druga · 2026-11-06