OpenAI Invests $5M Into the Self-Driving Race with John Hayes, Cofounder of Ghost Autonomy "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

We're joined by John Hayes, CEO and Cofounder of Ghost, a self-driving car startup using multimodal LLMs to solve the autonomous driving problem, that OpenAI just invested $5 million into. If you need an ERP platform, check out our sponsor NetSuite: http://netsuite.com/cognitive.

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@labenz (Nathan)
@ghosthayes (John)
@GhostAutonomy
@CogRev_Podcast

TIMESTAMPS:
00:00:00) - Introduction to John Hayes and Ghost Autonomy's partnership with OpenAI
(00:04:30) - The journey to founding Ghost, and how multimodal LLMs will change self-driving cars
(00:05:03) - John's background founding Pure Storage and moving into autonomy
(00:13:24) - Overview of different self-driving technology stacks (Lidar vs cameras)
(00:14:03) - Sponsors: Shopify | Omneky
(00:25:39) - Different approaches to how we know self-driving cars work well enough for public deployment
(00:32:21) - Sponsors: Netsuite | Oracle
(00:34:24) - Current state of robotaxis and China
(00:39:47) - Where Ghost fits into the autonomous driving landscape and their tech stack
(00:50:51) - Affordable radar systems
(00:51:54) - Ghost’s approach to interpretability
(00:53:27) - Using LLMs for driving
(00:54:59) - Partnership with OpenAI and how Ghost’s unique LLM solution to the self-driving problem
(00:57:40) - GPS’ unreliability which can be solved by multimodal approach
(01:02:31) - Hallucination is the best part of LLMs
(01:04:09) - Using maps as extended memory and storage for driving data
(01:09:20) - Ghost business model and the user experience
(01:16:37) - OpenAI as currently the only provider of advanced multimodal models
(01:24:17) - How self-driving cars should address fear and standing up for the technology
(01:29:30) - AI: China and the US, and why China is being pushed towards self-driving
(01:31:39) - Regulators in the US are responsive to consumers
(01:32:26) - VC subsidization of self-driving
(01:33:25) - John’s widest angle outlook on the AI revolution