20VC: OpenAI's Newest Board Member, Zico Colter on The Biggest Bottlenecks to the Performance of Foundation Models | The Biggest Questions and Concerns in AI Safety | How to Regulate an AI-Centric World
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
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Unraveling AI: Data Dynamics and Model Evolution
This chapter explores the complexities of large language models (LLMs) and the processes involved in training AI systems using extensive datasets. It discusses the ongoing debates regarding data availability and the potential of underutilized multimodal data, emphasizing the distinction between public and internal data sources. The speaker also examines the evolving landscape of AI model performance, commoditization, and the implications of competition within the market for both model creation and utilization.
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