Can India Prove Sam Altman Wrong?

Full Episode Link: https://youtu.be/LfmxGA7nOR4 In a recent discussion during Sam Altman's visit to India, a key question arose about whether India, with its burgeoning venture capital ecosystem but lesser depth of capital compared to the U.S., could develop large language models (LLMs). The conversation addressed the constraints posed by the escalating training costs of LLMs, emphasizing that the capital needed is significant. The costs are doubling roughly every 18 months, with the training of models like GPT-4 already reaching as high as $100 million. This exponential rise in costs poses a substantial barrier for small startups and academic institutions. 00:00 Introduction: Sam Altman's Visit to India 00:22 The Capital Challenge in Building Large Language Models 01:22 The Exponential Growth of Training Costs 01:47 Impact on Startups and Academics 01:57 Conclusion: Capital's Role in AI Competition As always, watch, share and subscribe! Book Links: #AnirudhSuri: The Great Tech Game by Anirudh Suri : [amzn.eu/d/1Su38My](http://amzn.eu/d/1Su38My) #PaulScharre: Four Battlegrounds - Power In The A: Power in the Age of Artificial Intelligence : https://amzn.eu/d/1GnHu2i Army of None – Autonomous Weapons and the Future of War : https://amzn.eu/d/b8wFXQn #SamAltman, #OpenAI, #India, #VentureCapitalist, #LanguageModels, #Capital, #GPT4, #TrainingCosts, #AI, #Technology, #Innovation, #DepthOfCapital, #AIApplications, #BigData, #HighCosts, #ComputingResources, #AIResearch, #ExponentialGrowth, #SmallStartups, #Academics