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."

We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com.

RECOMMENDED PODCAST: The HR industry is at a crossroads. What will it take to construct the next generation of incredible businesses – and where can people leaders have the most business impact? Hosts Nolan Church and Kelli Dragovich have been through it all, the highs and the lows – IPOs, layoffs, executive turnover, board meetings, culture changes, and more. With a lineup of industry vets and experts, Nolan and Kelli break down the nitty-gritty details, trade offs, and dynamics of constructing high performing companies. Through unfiltered conversations that can only happen between seasoned practitioners, Kelli and Nolan dive deep into the kind of leadership-level strategy that often happens behind closed doors. Check out the first episode with the architect of Netflix’s culture deck Patty McCord. https://link.chtbl.com/hrheretics

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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