Episode 26: Chris Kemp on the AI Revolution: From Training Models to Transforming Industries

Chris Kemp is a tech author, multiple-patent holder, and people leader. As a previous leader of the emerging technologies team at Salesforce, he explored early applications of blockchain, internet of things, and artificial intelligence. In this episode, we dive in with Chris Kemp as he decodes various facets of AI and artificial general intelligence (AGI). Unpacking realities behind training AI models, the hurdles posed and AI's diverse industrial applications this episode dives into AI's nexus with education, healthcare and more. Ever ponder the global AI competition or quantum computing's role in AI? Brace for a deep dive! We discuss why restrictions could equal restraints in AI. This mind-bending talk investigates AI’s new frontier, examining power dynamics in tech giants, burgeoning technology, and societal impact. Add a dose of AGI inevitability, and you have a conversation as memorable as it is informative. Takeaways 👉 Training AI models is analogous to teaching children. 👉 AI has applications in various industries, including car insurance, healthcare, and education. 👉 The hype around AI should be balanced with a focus on real value and practical applications. 👉 AI has the potential to revolutionize education by providing personalized learning experiences. 👉 Healthcare stands to benefit from AI in areas such as drug discovery and personalized treatment. 👉 Different countries have different approaches to AI development, with China and the US leading the way. 👉 Quantum computing could significantly enhance AI capabilities in the future. 👉 Excessive regulations in AI development may put certain regions at a disadvantage. Regulation can often entrench larger competitors and make it difficult for smaller competitors to innovate. 👉 Government use of AI raises ethical concerns and should be regulated to ensure unbiased and ethical practices. 👉 The transition to full self-driving vehicles is a gradual process that requires societal acceptance and trust in the technology. 👉 The fear of artificial general intelligence (AGI) may be overblown, but governance and concentration of power in big tech companies are significant concerns. Links 👉 How AI could save (not destroy) education 👉 Wait but Why blog 👉 Study on autonomous vehicle safety 👉 Foundations of AI architecture - UofT course Chapters 00:00 - Welcome Chris Kemp 02:09 - Determined to make top 10 list in 2024 04:17 - Chris' work developing AI products 04:52 - AIs similarity to real intelligence 07:08 - AI model assumes green and red apples in training 11:46 - AIs Coolness, Frontier Use Cases 14:20 - AI saves companies money, improves customer experience 17:02 - Teaching courses with ChatGPT and LLMs 17:46 - Developing lesson plans, checking ChatGPT for errors 19:10 - Changing technology's role in education 26:24 - Healthcare startups gaining investment dollars 26:47 - AI and quantum computing 29:48 - Generative AI for protein building 30:20 - Drug companies save money with AI 30:40 - Cutting edge drug discovery, AIs exponential growth 33:10 - Quantum computing tech still unstable 34:57 - Quantum computing in movies, nerding out 35:20 - Who is winning AI arms race 36:22 - Data sciences importance in AI 37:20 - Data privacy in China differs from US 38:16 - Data driven economic development in China and the United States 39:52 - AIs diverse perspectives on privacy, regulation 42:11 - Not a fan of regulation 44:44 - Driverless taxis 45:31 - Driverless cars and the elevator analogy 45:56 - Elevators used to have people in them to make people safer 48:13 - Society will embrace self driving cars 50:53 - AI Fear or Hope? 53:33 - Big tech companies control AI, data, and influence