AI Gets Eyes and Ears | LiveKit’s Russ d’Sa
AI Gets Eyes and Ears | LiveKit’s Russ d’Sa  
Podcast: Dev Interrupted
Published On: Tue Apr 29 2025
Description: We've spent decades teaching ourselves to communicate with computers via text and clicks. Now, computers are learning to perceive the world like us: through sight and sound. What happens when software needs to sense, interpret, and act in real-time using voice and vision?This week, Andrew sits down with Russ d'Sa, Co-founder and CEO of LiveKit, whose technology acts as the crucial infrastructure enabling machines to interact using real-time voice and vision, impacting everything from ChatGPT to critical 911 responses.Explore the transition from text-based protocols to rich, real-time data streams. Russ discusses LiveKit's role in this evolution, the profound implications of AI gaining sensory input, the trajectory from co-pilots to agents, and the unique hurdles engineers face when building for a world beyond simple text transfers.Check out:AI Code Reviews: An Engineering Leader’s Survival GuideSurvey: Discover Your AI Collaboration StyleFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Website: livekit.ioGitHub: github.com/livekitX: x.com/livekitRuss: x.com/dsaReferenced in today's show:The Rise of Slopsquatting: How AI Hallucinations Are Fueling a New Class of Supply Chain AttacksHas the VSCode C/C++ Extension been blocked?OpenAI tells judge it would buy Chrome from GoogleChain-of-Vibes | Pete Hodgson Seattle crosswalk signals with deepfake Bezos audio may have been hacked with just a cellphone OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.