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Forecasting & the drivers of AI progress

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Manage episode 441893777 series 2330470
Content provided by Whitehat SEO and Whitehat Inbound Marketing Agency. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Whitehat SEO and Whitehat Inbound Marketing Agency or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
This podcast episode focuses on the work of Danny Hernandez, a research scientist at OpenAI, who is primarily focused on measuring progress in artificial intelligence. He examines three major drivers of AI progress: compute, algorithmic innovation, and data, and the podcast explores the relationship between these drivers. Hernandez also discusses the challenges of forecasting in AI, particularly in the context of highly impactful and unlikely events. He emphasizes the importance of calibration training for improving forecasting skills and argues for a greater focus on understanding the economic impact of AI to better understand its progress. The conversation also touches upon the importance of AI safety, with Hernandez highlighting the work of various safety teams at OpenAI, such as the Foresight team, which focuses on understanding macro trends in AI, and the Reflection team, which concentrates on ensuring AI systems are aligned with human values.
  continue reading

95 episodes

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iconShare
 
Manage episode 441893777 series 2330470
Content provided by Whitehat SEO and Whitehat Inbound Marketing Agency. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Whitehat SEO and Whitehat Inbound Marketing Agency or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
This podcast episode focuses on the work of Danny Hernandez, a research scientist at OpenAI, who is primarily focused on measuring progress in artificial intelligence. He examines three major drivers of AI progress: compute, algorithmic innovation, and data, and the podcast explores the relationship between these drivers. Hernandez also discusses the challenges of forecasting in AI, particularly in the context of highly impactful and unlikely events. He emphasizes the importance of calibration training for improving forecasting skills and argues for a greater focus on understanding the economic impact of AI to better understand its progress. The conversation also touches upon the importance of AI safety, with Hernandez highlighting the work of various safety teams at OpenAI, such as the Foresight team, which focuses on understanding macro trends in AI, and the Reflection team, which concentrates on ensuring AI systems are aligned with human values.
  continue reading

95 episodes

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