19min chapter

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch cover image

20VC: Why Google Will Win the AI Arms Race & OpenAI Will Not | NVIDIA vs AMD: Who Wins and Why | The Future of Inference vs Training | The Economics of Compute & Why To Win You Must Have Product, Data & Compute with Steeve Morin @ ZML

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

CHAPTER

AI Model Scaling: Efficiency vs. Volume

This chapter explores the contrasting approaches to AI model scaling, debating the merits of brute force versus efficiency in development. It highlights the evolution from large monolithic models to smaller, agile architectures and discusses the implications of data usage and regulatory environments on innovation. The conversation also emphasizes the importance of immediate response times in AI outputs, reflecting on the competitive landscape and the future of AI technologies.

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