In this episode of the Cognitive Revolution podcast, the host Nathan Labenz is joined for the record 9th time by Zvi Mowshowitz to discuss the state of AI advancements, focusing on recent developments such as OpenAI's O3 model and its implications for AGI and recursive self-improvement.

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In this episode of the Cognitive Revolution podcast, the host Nathan Labenz is joined for the record 9th time by Zvi Mowshowitz to discuss the state of AI advancements, focusing on recent developments such as OpenAI's O3 model and its implications for AGI and recursive self-improvement. They delve into the capabilities and limitations of current AI models in various domains, including coding, deep research, and practical utilities. The discussion also covers the strategic and ethical considerations in AI development, touching upon the roles of major AI labs, the potential for weaponization, and the importance of balancing innovation with safety. Zvi shares insights on what it means to be a live player in the AI race, the impact of transparency and safety measures, and the challenges of governance in the context of rapidly advancing AI technologies.

Nathan Labenz's slide deck documenting the ever-growing list of AI Bad Behaviors: https://docs.google.com/presen...

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CHAPTERS:
(00:00) About the Episode
(06:08) Introduction and Overview
(06:46) Discussing AGI and Recursive Self-Improvement
(09:21) Evaluating AI Capabilities and Limitations
(14:58) AI in Scientific Research and Practical Applications (Part 1)
(24:05) Sponsors: Box AI | Shopify
(27:53) AI in Scientific Research and Practical Applications (Part 2)
(28:06) Challenges in AI Automation and Integration (Part 1)
(39:37) Sponsors: NetSuite | Oracle Cloud Infrastructure (OCI)
(42:19) Challenges in AI Automation and Integration (Part 2)
(55:36) Utility of Hyper Parameters
(56:30) AI's Impact on Science
(57:35) Federal Funding and University Models
(01:01:47) AI in Coding and Software Development
(01:12:12) Mechanize and Automating Mundane Work
(01:18:58) Super Intelligence and Its Implications
(01:39:57) The Complexity of Influence and Power
(01:41:06) Election Dynamics and Super Intelligence
(01:42:27) AI's Role in Decision Making and Governance
(01:44:40) Understanding Super Intelligence and Its Modalities
(01:48:46) Challenges in AI Alignment and Governance
(01:51:55) The Future of AI and Human Control
(01:58:57) Global AI Players and Their Strategies
(02:10:44) China's AI Landscape and Challenges
(02:20:40) Evaluating AI Companies and Their Potential
(02:25:28) Elon's Misconceptions About AI
(02:26:03) Grok and Gemini 2.5 Pro: A Comparison
(02:29:24) Meta and XAI: Organizational Challenges
(02:32:16) Philanthropic's Recent Work and Public Statements
(02:39:54) Google DeepMind's Approach and Challenges
(02:44:02) OpenAI's Strategic Moves and Controversies
(02:50:58) The Ethics of AI Weaponization
(03:03:09) Virtuous Actions in AI Development
(03:08:14) Outro