AI strategist and TikTok commentator Nate B. Jones joins CXOTalk host Michael Krigsman to explain the high-stakes race among OpenAI, Google, Meta, and others to advance large language models.

The discussion explores token economics, model specialization, and hands-on prompting skills every executive needs to translate AI progress into business results.

Watch Episode 880 now and subscribe for weekly conversations with top tech leaders.

🔔 Don’t forget to like, subscribe, and share for more thought-provoking conversations with top industry leaders.

🔷 Newsletter: www.cxotalk.com/subscribe

🔷 Read the summary and key points: https://www.cxotalk.com/episode/inside-the-ai-arms-race-llms-economics-and-strategy

🔷 LinkedIn: www.linkedin.com/company/cxotalk

🔷 Twitter: twitter.com/cxotalk

00:00 The Evolution of the AI Arms Race

02:11 Diverging Strategies in AI Development

07:14 Economic and Business Impacts of AI

13:20 The Role of Specialization and Prompting in AI Usage

16:17 Building Relationships with AI and Shifting Mindsets

23:01 Maximizing Value from AI Interactions

24:09 Operationalizing AI for Business ROI

26:14 The Next Generation and AI's Evolution

31:18 Human Psychology and AI's Persuasive Power

35:24 Exploring Cognitive Parasitism and Model Personalities

37:53 Comparing AI Models and Their Applications

39:47 Specialized AI Models for Coding and Learning

40:31 Exploring LLM Ecosystems and Tools

44:30 Economics and Efficiency of LLMs

48:55 Challenges and Norms in AI Usage

52:47 Wrapping Up with Gratitude and Reflections

53:08 Announcements and Farewell

Quallen

Einschlafen mit Wikipedia

Intro

The AI-powered Podcast Player