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YouTube

O3 Breaks Records, but AI Becomes Pay-to-Win

AI Explained via YouTube

Overview

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Explore a comprehensive 15-minute analysis of OpenAI's o3 model performance across six benchmarks, including FictionLiveBench, PHYBench, SimpleBench, and Virology Capabilities Test. Discover how o3 compares to Gemini 2.5 in mathematics and vision tasks, with detailed explanations of the V* architecture powering o3's visual capabilities. Learn about the economic implications of advanced AI development, including projected revenue figures, subscription models, and why AI is becoming increasingly "pay-to-win." Examine the trade-offs in expensive reinforcement learning, how computational resources are allocated, and what this means for AI development through 2030. The video includes references to green card issues for AI researchers, detailed benchmark results, and insights into how leading AI companies are positioning themselves in this rapidly evolving landscape.

Syllabus

00:00 - Introduction
00:33 - FictionLiveBench
01:37 - PHYBench
02:14 - SimpleBench
02:54 - Virology Capabilities Test
03:13 - Mathematics Performance
04:29 - Vision Benchmarks
05:43 - V* and how o3 works
06:44 - Revenue and costs for you
08:54 - Expensive RL and trade-offs
09:40 - How to spend the OOMs
13:27 - Gray Swan Arena

Taught by

AI Explained

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