No Priors Ep. 119 | With Applied Intuition's Qasar Younis and Peter Ludwig

When will fully autonomous vehicles see widespread adoption? According to Applied Intuition, that future is closer than you may think. Applied Intuition’s CEO, Qasar Younis, and CTO, Peter Ludwig, talk with Elad Gil about how now is the best time to both work on self-driving vehicle technology and monetize it. Qasar and Peter discuss the advantages of developing their own OS in-house for their autonomous applications, self-driving technology’s potential to drive re-shoring of vehicle manufacturing to the United States, and how best to gauge the bar for safety in autonomous systems. Plus, they explore how self-driving technology may reshape the designs of not only vehicles, but cities themselves. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @qasar | @AppliedInt Chapters: 00:00 Qasar Younis and Peter Ludwig Introduction 01:28 A Primer on Applied Intuition 11:08 Applied Intuition’s Customers 12:04 Impact of Chinese Vehicles Manufacturers 15:44 EV Policies in the European Market 20:49 Can Robotics and Automation Re-Shore Vehicle Manufacturing? 21:53 Training Models for Autonomous Vehicles 26:41 Gauging the Bar for Autonomous Vehicles Safety 32:03 Timeline for Large-Scale Autonomous Vehicle Adoption 36:28 Rethinking Urban Design for Autonomous Vehicles 38:47 How Applied Intuition Uses AI for Tooling and OS 42:09 Designing for User Experience 43:31 Applied Intuition’s Hiring Strategy 45:01 Conclusion

Elad GilhostQasar YounisguestPeter LudwigguestSarah Guohost

Jun 17, 202545mWatch on YouTube ↗

EPISODE INFO

Released: June 17, 2025
Duration: 45m
Channel: No Priors
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

When will fully autonomous vehicles see widespread adoption? According to Applied Intuition, that future is closer than you may think. Applied Intuition’s CEO, Qasar Younis, and CTO, Peter Ludwig, talk with Elad Gil about how now is the best time to both work on self-driving vehicle technology and monetize it. Qasar and Peter discuss the advantages of developing their own OS in-house for their autonomous applications, self-driving technology’s potential to drive re-shoring of vehicle manufacturing to the United States, and how best to gauge the bar for safety in autonomous systems. Plus, they explore how self-driving technology may reshape the designs of not only vehicles, but cities themselves. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @qasar | @AppliedInt Chapters: 00:00 Qasar Younis and Peter Ludwig Introduction 01:28 A Primer on Applied Intuition 11:08 Applied Intuition’s Customers 12:04 Impact of Chinese Vehicles Manufacturers 15:44 EV Policies in the European Market 20:49 Can Robotics and Automation Re-Shore Vehicle Manufacturing? 21:53 Training Models for Autonomous Vehicles 26:41 Gauging the Bar for Autonomous Vehicles Safety 32:03 Timeline for Large-Scale Autonomous Vehicle Adoption 36:28 Rethinking Urban Design for Autonomous Vehicles 38:47 How Applied Intuition Uses AI for Tooling and OS 42:09 Designing for User Experience 43:31 Applied Intuition’s Hiring Strategy 45:01 Conclusion

SPEAKERS

Elad Gil
host
Qasar Younis
guest
Peter Ludwig
guest
Sarah Guo
host

EPISODE SUMMARY

In this episode of No Priors, featuring Elad Gil and Qasar Younis, No Priors Ep. 119 | With Applied Intuition's Qasar Younis and Peter Ludwig explores applied Intuition quietly builds vehicle intelligence powering autonomy’s real future Applied Intuition CEO Qasar Younis and CTO Peter Ludwig discuss how their now-profitable, 1,000+ person company builds “vehicle intelligence” for cars, trucks, construction equipment, and defense systems. They explain their three-part business—engineering tools, a vehicle operating system, and autonomy applications—and how it mirrors Microsoft’s historical tools–OS–apps strategy, but for vehicles instead of PCs. The conversation covers Chinese EV competition, industrial policy, synthetic data and autonomy models, safety and regulation of self‑driving, and why the next 5–10 years will see rapid, mainstream deployment of autonomous systems. They also touch on in-cabin AI experiences, defense use cases, and the kind of deeply technical talent and designers they’re hiring to build this ecosystem.

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