AI in Automotive Podcast · Jayesh Jagasia

AI in Automotive - #304 - Bibhrajit Halder - Founder & CEO, SafeAI

·50 min·1 clip

Jayesh Jagasya opens by treating autonomy as an idea with a real past, not just a buzzword. He asks where autonomous vehicles came from and what the next stage might look like. B.B. Haldar joins to trace that arc. The conversation reaches back to the DARPA Grand Challenge era and treats it as an important starting point rather than a footnote. From there, it moves into how autonomy has changed over time. Jayesh and B.B. talk about autonomy 1.0, 2.0, and the possibility of future versions such as autonomy 3.0 and 4.0. The frame is historical, but it keeps circling back to practical questions. The episode also asks what autonomy looks like outside passenger vehicles. Mining and construction become a major part of the discussion. B.B. explains how Safe AI is using AI in those settings. Jayesh pushes on the industrial angle and asks what the real opportunity is. That leads the conversation into mine economics. The host notes that he never expected to be talking about mine economics on this show. The exchange leaves room for the business side of deployment, not just the technical ambition. It also brings out the broader challenge of putting autonomy into heavy industry. The episode keeps linking present-day autonomy to the systems and limits that shaped it. It stays comfortable with technical language, but it also slows down enough to make the ideas usable. The result is a conversation that treats autonomy as an engineering, business, and industry story at once. It is interested in where the field started, what has changed, and what still needs solving. The closing reinforces that the show is about learning from people building in AI and mobility. The episode stays grounded in how that work plays out in the real world.

As heard by us

A clear tour from autonomy's early race days to where it may matter beyond roads.

The episode tracks autonomy as an industry story, starting with the DARPA Grand Challenge and moving through autonomy 1.0 to 4.0. The strongest stretch ties that history to mining and construction, where the economics and the software gap come through plainly.

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Why you'd press play

Hear autonomy traced from the DARPA grand challenge to mining and construction, with a look at where the field might go next.

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