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In this episode, hosts Nathan Labenz and Erik Torenberg delve into the exciting and concerning aspects of GPT4, the latest large multimodal model from OpenAI. Nathan, who was a Red Teamer for GPT4, shares his experience working with the model, using it for real-life scenarios, and how he found it to be human-level rather than human-like intelligence. Nathan also highlights some of its fundamental weaknesses and limitations and shares the most concerning elements of GPT4. They end the episode pondering the arrival of GPT5 and whether we are in AI's "goldilocks moment."

Check out the debut of Erik Torenberg's new podcast Upstream. This coming season features interviews with Marc Andreessen (Episode 1 live now), David Sacks, Ezra Klein, Balaji Srinivasan, Katherine Boyle, and more. Subscribe here: https://www.youtube.com/@UpstreamwithErikTorenberg

Timestamps for E11: Nathan Labenz and Erik Torenberg of The Cognitive Revolution Podcast
(0:00) Preview of Nathan on this episode
(1:13) Upstream: Erik's new interview show
(1:41) Intro
(5:40) Nathan's experience as a GPT4 Red Teamer
(11:22) Catching the AI wave
(14:30) Using GPT4 for real-life scenarios
(17:33) Sponsor: Omneky
(21:00) Human-level, not human-like intelligence
(26:00) GPT4 weaknesses
(28:14) More real-life use cases for GPT4
(35:25) Teaching AI to communicate within itself
(40:25) GPT4’s limitations
(44:32) Nathan's learnings from using GPT4
(46:56) Nathan joining the Red Team
(47:29) The most concerning thing about GPT4
(1:05:42) GPT5
(1:06:42) Open AI's regulatory breadcrumbs
(1:13:52) AI's goldilocks moment


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Twitter:
@CogRev_Podcast
@labenz (Nathan)
@eriktorenberg (Erik)

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