Open Models

Ripple-65B Preview brings a dense, 65-billion-parameter model to the open-weight landscape, with a particular emphasis on coding and terminal-based tasks. This profile examines what Ricursive Intelligence has actually released, how its chip-design business relates to the model, and what external evaluations can establish. It separates the laboratory’s benchmark claims from Plotly’s data-analysis assessment and DuelLab’s provisional game-based results. It also distinguishes announced company funding from the model’s reported development expenditure. Public weights, configuration and inference code support inspection, but they do not by themselves disclose the complete training data or establish that a generated reasoning trace faithfully explains a decision. The assessment therefore considers licensing, reproducibility, hardware requirements and scientific support separately. It is a documentary review of public evidence, not an Editorialia performance test or a certification of safety, general intelligence or complete transparency.