Ride AI

In this episode, we dive into the nitty gritty of what makes a good sensor and how lidar could transform urban traffic as we know it.

In this episode of the Ride AI podcast, we sit down with Ed Bernardon, Chief Racing Officer at AIPEX Racing, to explore the high-octane world of autonomous motorsport. From dispelling the myth that self-driving race cars are just glorified remote-control vehicles to unpacking the unique challenges of AI-driven competition, Ed offers an insider’s look into the future of racing. He breaks down the tech stack powering AIPEX's autonomous vehicles, discusses the parallels and divergences between human and AI drivers, and reveals why the drama behind the code might rival the thrill on the track. We also dive into why autonomous cars might someday outpace their human counterparts.

In this episode of the Ride AI Podcast, we sit down with Ali Kashani, CEO and co-founder of Serve Robotics, the company bringing AI-powered sidewalk delivery robots—with googly eyes—to city streets. Ali shares the origin story behind Serve's charming, efficient bots and explains why using a two-ton car to deliver a two-pound burrito simply doesn’t make sense. We dive into the rationale behind sidewalk robots versus road-based vehicles, the surprising stats about food delivery distances, and how Serve’s robots—some capable of 40 miles on a single charge—are redefining last-mile logistics. Ali also explains how the company maintains Level 4 autonomy with human-in-the-loop oversight and the unique challenges of operating in pedestrian-dense environments. Hear how Serve’s robots navigate public spaces with body language, what goes into scaling to cities like Dallas, Miami, and soon Atlanta, and why the future of delivery may depend less on bikes and more on scalable automation. Plus, Ali reveals unexpected revenue streams—from ad campaigns on robots to software licensing deals—and shares his dream cities for future deployment (spoiler: New York is high on the list).

In this episode, we explore Lyft’s evolving approach to autonomous vehicles and the future of rideshare. Rather than building its own L4 tech, Lyft is doubling down on its marketplace strengths—demand generation, rider experience, and fleet management—while teaming up with AV innovators like Mobileye. The company envisions a hybrid future where human drivers and AVs coexist, expanding the market rather than replacing people. We dive into how Lyft plans to support its diverse driver base—over two million strong annually—by creating new opportunities, such as turning today’s drivers into tomorrow’s AV fleet owners. Plus, we break down the economics of surge pricing, the complexities of fleet ops, and how Lyft compares to competitors like Uber and Waymo.

In this episode of Ride AI, we dive into the fast-evolving intersection of autonomy, gig work, and delivery economics. Our guest, Gridwise founder and CEO Ryan Green, joins to discuss why autonomous vehicles won't spell the end for human gig workers — at least not yet.