Web-AI Client-Side AI for Developers: Jason Mayes-Google’s Web AI Lead
February 28, 2025
In this episode of ‘Ventures with David,’ host David converses with Jason Mayes, Google’s web AI lead, about the innovations and implications of web AI and product management. They discuss how web AI shifts model deployment from server to client-side, enhancing user testing and reducing costs, latency, and carbon footprint. Jason shares his career journey at Google, focusing on exploring emerging technologies like TensorFlow.js.
They delve into practical applications of web AI, such as 2 billion parameter models running in browsers, enabling cost-effective, real-time functions. Jason emphasizes the significance of JavaScript in production outside academia and urges junior developers to create practical, problem-solving applications. The conversation aims to inspire learning in rapid AI tool deployment and the fundamentals of technical product management.
Web AI, the ability to run language models and machine learning in the browser is something we’re excited about at Conffab. Here, Jason Mayes who coined the term Web AI discusses the technology’s applications.
