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

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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

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