MSFT

<p>Kevin Scott stated that the most important advancements in the field of artificial intelligence over the past 20 years have been related to "scale"; the potential of OpenAI lies in its future ability to become the foundation for building AI platforms; the quality of data is more important than quantity</p>

- The article discusses the impact of large language models (LLMs) in the AI era, referencing OpenAI's Scaling Law from 2020, which correlates model performance with computational power, model parameters, and training data size rather than specific structure.
- OpenAI's collaboration with Microsoft on AI strategies and the future of large models is highlighted, emphasizing the importance of data quality over quantity for AI training algorithms and potential business models around valuable training data and model inference.
- The conversation between Pat Grady, Bill Coughran from Sequoia Capital, and Microsoft CTO Kevin Scott delves into Microsoft's AI strategy of building a platform, the significance of scaling in AI advancements, and the evolving landscape of AI hardware and software architectures.

Microsoft CTO: How far can the "Scaling Law" of AI large models go?