The Data Exchange with Ben Lorica 2025 Artificial Intelligence Index
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Apr 17, 2025 Nestor Maslej, Research Manager at Stanford's HAI and editor-in-chief of the AI Index Report, explores the latest trends in artificial intelligence. He discusses the rise of smaller, high-performance AI models in business, emphasizing their adoption and the balance between accuracy and speed. The conversation also covers advancements in AI benchmarking and the evolving landscape of AI inference costs. Maslej highlights the potential of AI in the workforce, alongside concerns about job displacement, as well as the competitive dynamics between the U.S. and China in AI research.
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Smaller Models, Big Impact
- Smaller AI models are gaining traction, offering good performance at lower costs.
- This changes how businesses think about AI and its potential applications.
RLHF and Model Customization
- Reinforcement learning from human feedback (RLHF) has made a comeback in model customization this year.
- Tools are being developed to make RLHF more accessible, enabling customized reasoning in smaller models.
Open-Weight Models and Transparency
- Open-weight models are significantly stronger than a year ago, closing the performance gap with closed-weight models.
- The AI ecosystem is becoming more transparent, with projects like the Foundation Model Transparency Index.