

Human Data is Key to AI: Alex Wang from Scale AI
147 snips Sep 24, 2024
In this discussion with Alex Wang, Founder and CEO of Scale AI, he shares insights on the essential role of frontier data in harnessing the potential of AI. He addresses the evolution of language models and the necessity for innovative data strategies. Alex navigates the competition between tech giants and smaller labs, revealing how regulatory hurdles impact AI development. He also discusses the risks and rewards of investing in AI, while highlighting the transformative influence of open-source models on the industry.
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Language Model Development Phases
- Language model development is entering a new phase emphasizing research and data production.
- Previous phases focused on research and scaling existing models like GPT-3 and 4.
The Data Wall in AI
- Compute is scaling, algorithms need innovation, and data is hitting a wall.
- Frontier data production will be a hallmark of the next phase of AI development.
Models' Weakness: Tool Composition
- Current frontier models struggle with composing tools, unlike humans.
- This limitation highlights the need for agent data which is currently lacking.