Jonathan Frankle, Chief AI Scientist at Databricks, brings deep insight into the fast-paced world of AI. He discusses the evolution of AI models, favoring transformers over LSTMs, and shares strategic insights from the merger of Mosaic and Databricks. Frankle emphasizes the importance of effective AI evaluation benchmarks and customer collaboration in developing AI solutions. Ethical considerations and responsible AI policy also take center stage, as he highlights the need for transparency and community engagement in the rapidly evolving landscape.

Jonathan Frankle, Chief Scientist at Databricks, discusses the realities and usefulness of AI, including face recognition systems, the 'lottery ticket hypothesis,' and robust decision-making protocols for training models. They also explore Jonathan's move into law, his experience with GPUs, and the revolutionary algorithm called Qstar.

Jonathan Frankle, Chief Scientist at MosaicML and a researcher in sparse neural networks and technology policy, shares insights on the lottery ticket hypothesis, measurement in neural networks, scaling laws, and the acquisition of Mosaic by Databricks. He also discusses the impact of AI on society and the importance of asking fundamental questions about policy and regulation.