Reka just unveiled a research preview of Rho-1, a 19B model trained from scratch to handle text, vision, and robotic action tokens in one network. Instead of delegating tasks across specialized pipelines, it keeps an evolving world state inside a single KV cache. Why it matters: it eliminates handoff latency and enables real-time, interactive video simulation.
Reka just open-sourced Flash 3.1, a 21B model with major coding upgrades, alongside its new Reka Quant library. The team managed to squeeze the model down to 3.5 bits for llama.cpp with minimal accuracy loss, giving developers a compact agent base that punches well above its weight.
Reka just open-sourced Flash 3, a 21B parameter reasoning model built completely from scratch. Despite its lightweight footprint, Reka claims competitive performance and is already using it as the core engine behind its new enterprise intelligence platform, Nexus.
