Episode 1 - The Speed of Now

The conversation delves into the exponential growth of AI models, the impact of compute abundance, global adoption of AI, and the comparison of AI performance with human capability. It explores the rapid evolution of AI technology and its implications on various aspects of society and industry. All slides can be found at: https://manavgup.github.io/shipai/state-of-ai/ep01/1TakeawaysExponential Growth of AI ModelsImpact of Compute AbundanceGlobal Adoption of AIAI Performance vs. Human Capability AI performance is tightly coupled to the size of the training dataFrontier AI models are fundamentally data-drivenCompute investments into AI models determine their size and learning capabilityAI progress is driven by compute, algorithms, and dataAI adoption is accelerating faster than any previous technology waveChapters00:00 The Speed of Now: Understanding AI's Rapid Evolution03:01 The Forces Behind AI's Acceleration05:47 The Impact of Moore's Law on AI08:31 The Role of Major Tech Companies in AI Growth11:27 Historical Context: 70 Years of AI Development14:38 NVIDIA's Rise and the End of Geographic Lag17:29 The Four Enablers of AI's Meteoric Rise20:20 Global Adoption and the New Reality of AI23:24 The Cambrian Explosion of AI Models26:17 AI Performance vs. Human Performance29:01 The Growth of Data Sets in AI Models29:47 The Exponential Growth of AI Data Sets32:58 The Role of Compute in AI Advancement36:42 Algorithmic Progress and Its Impact39:38 Benchmarking AI Performance Against Human Intelligence45:10 Enterprise Adoption of AI Technologies52:46 Key Learnings from AI Implementations