In this special episode of The Cognitive Revolution, Nathan shares his thoughts on the upcoming election and its potential impact on AI development. He explores the AI-forward case for Trump, featuring an interview with Joshua Steinman. Nathan outlines his reasons for not supporting Trump, focusing on US-China relations, leadership approach, and the need for a positive-sum mindset in the AI era. He discusses the importance of stable leadership during pivotal moments and explains why he'll be voting for Kamala Harris, despite some reservations. This thought-provoking episode offers a nuanced perspective on the intersection of politics and AI development.
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SPONSORS:
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Apple: https://podcasts.apple.com/us/podcast/id1765716600
Spotify: https://open.spotify.com/show/38DK3W1Fq1xxQalhDSueFg
CHAPTERS:
(00:00:00) About the Show
(00:00:22) Sponsors: Weights & Biases RAG++
(00:01:28) About the Episode
(00:13:13) Reflecting on Trump
(00:15:32) Introducing Josh
(00:16:35) AI Arms Race Concerns
(00:20:20) Arms Race History
(00:22:35) Building Trust
(00:25:19) Ashenbrenner Model
(00:27:17) Global Good vs. Self-Interest
(00:28:20) Sponsors: Shopify | Notion
(00:31:16) Working with Trump
(00:33:54) Media Misrepresentation
(00:40:09) Cabinet Member Leverage
(00:44:41) Sponsors: LMNT
(00:46:23) China's Communist Party
(00:48:36) AI and National Policy
(00:50:14) The Reality of AGI
(00:52:39) Framing the Disagreement
(01:01:41) Slaughterbots and AI Future
(01:04:24) Risks of Engagement
(01:09:29) Sustainability of Military Tech
(01:13:01) Closing Statements
(01:14:55) Outro
SOCIAL LINKS:
Website: https://www.cognitiverevolution.ai
Twitter (Podcast): https://x.com/cogrev_podcast
Twitter (Nathan): https://x.com/labenz
LinkedIn: https://www.linkedin.com/in/nathanlabenz/
Youtube: https://www.youtube.com/@CognitiveRevolutionPodcast
Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431
Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk
"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis 