The Mechanics of AI Decision-Making

This chapter explores the technical intricacies of AI models, focusing on O1 and O3 regarding sample generation, costs, and processing time. It analyzes methods for optimizing decision-making from multiple outputs and discusses the challenges of outcome verification in complex AI tasks.

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In this special AMA episode, Nathan answers questions posed by The Cognitive Revolution podcast listeners. He discusses AI developments in 2024, including OpenAI's o3 announcement, deliberative alignment, and the future of AI technology. It is an insightful discussion about AI's impact on education, coding careers, and business sustainability in an AI-driven world.

Check out http://aipodcast.ing for AI-powered podcast production services or reach out to Adithyan for more information.

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80,000 Hours: 80,000 Hours is dedicated to helping you find a fulfilling career that makes a difference. With nearly a decade of research, they offer in-depth material on AI risks, AI policy, and AI safety research. Explore their articles, career reviews, and a podcast featuring experts like Anthropic CEO Dario Amodei. Everything is free, including their Career Guide. Visit https://80000hours.org/cognitiverevolution to start making a meaningful impact today.

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CHAPTERS:

(00:00:00) Teaser

(00:01:00) AI Podcasting

(00:03:19) o3 vs. Other Models

(00:10:25) o3 Breaks Benchmarks (Part 1)

(00:14:19) Sponsors: Oracle Cloud Infrastructure (OCI) | 80,000 Hours

(00:16:59) o3 Breaks Benchmarks (Part 2)

(00:27:51) OpenAI's Safety Plan (Part 1)

(00:28:45) Sponsors: NetSuite

(00:30:18) OpenAI's Safety Plan (Part 2)

(00:39:08) Safety & Governance

(00:50:48) Tail of the Tape