Zico Colter is a Professor and the Director of the Machine Learning Department at Carnegie Mellon University. His research spans several topics in AI and machine learning, including work in AI safety and robustness, LLM security, the impact of data on models, implicit models, and more. He also serves on the Board of OpenAI, as a Chief Expert for Bosch, and as Chief Technical Advisor to Gray Swan, a startup in the AI safety space.
In Today's Episode with Zico Colter We Discuss:
1. Model Performance: What are the Bottlenecks:
2. Sam Altman, Sequoia and Frontier Models on Data Centres:
3. AI Safety: What People Think They Know But Do Not:
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By Harry Stebbings
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Zico Colter is a Professor and the Director of the Machine Learning Department at Carnegie Mellon University. His research spans several topics in AI and machine learning, including work in AI safety and robustness, LLM security, the impact of data on models, implicit models, and more. He also serves on the Board of OpenAI, as a Chief Expert for Bosch, and as Chief Technical Advisor to Gray Swan, a startup in the AI safety space.
In Today's Episode with Zico Colter We Discuss:
1. Model Performance: What are the Bottlenecks:
2. Sam Altman, Sequoia and Frontier Models on Data Centres:
3. AI Safety: What People Think They Know But Do Not:
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