Ripple-65B: new open-weight model targets AI-driven chip design

A team has unveiled Ripple-65B, an open-weight AI model designed to advance agentic coding—where AI systems can autonomously write and debug code. The model targets chip design workflows, a domain where traditional timelines stretch years and require specialized expertise.

The stated goal is to close feedback loops between AI software and hardware development, enabling faster iteration on custom silicon. By automating parts of the chip design process, the approach could reduce time-to-market and lower barriers to creating specialized hardware.

The model represents a push in emerging AI to move beyond general-purpose code generation toward domain-specific automation that spans software and hardware engineering.