Ricursive AI co-founder discusses challenges in chip design

Anna Goldie: Anna Goldie is the founder and CEO of Ricursive Intelligence and a former Senior Staff Research Scientist at Google DeepMind, where she co-led the AlphaChip project. She previously co-founded Google’s ML for Systems team and worked as an early employee at Anthropic. In the news, she explains the human challenges in placing billions of logic gates that slow AI chip development and hinder recursive self-improvement loops. Ricursive AI: Ricursive Intelligence, often referenced via its @RicursiveAI handle, is an AI startup founded in late 2025 by Anna Goldie and Azalia Mirhoseini. It develops AI tools to automate chip design workflows, including logic gate placement and verification, with the goal of enabling faster hardware iteration. In the context of this news, the company’s co-founder discusses how current manual design processes create bottlenecks for recursive self-improvement in AI. Recent Discussions: Co-founders of Ricursive Intelligence recently appeared in industry events and episodes highlighting AI’s potential role in accelerating chip design cycles. Chip Design Bottleneck: Current AI chip development relies heavily on manual human decisions for complex layout and placement tasks, extending timelines significantly. Recursive Self-Improvement Focus: Experts are exploring how AI-automated hardware design could close the loop between better chips and more capable AI systems.