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Is ChatGPT Getting Worse? with James Zou - #645

2023-09-04 · 42 min · episode 645 · 16 entities

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companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Stanford University. In company
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    professor at Stanford University. In
  • mentioned Technology company
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    Feed category: Technology
  • works at Stanford University. In company
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    professor at Stanford University. In
  • works at Stanford University. In company
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    professor at Stanford University. In
  • discusses Technology company
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    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML

concepts 5

  • mentioned Science concept
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    Feed category: Science
  • mentioned Tech News concept
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  • discusses Science concept
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    Feed category: Science
  • discusses News concept
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    Feed category: News
  • discusses Tech News concept
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    evidence rules-v4
    Feed category: Tech News

persons 3

  • mentioned James Zou person
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    Is ChatGPT Getting Worse? with James Zou - #645
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by James Zou, an assistant professor at Stanford University. In our conversation with James, we explore the differences in ChatGPT’s behavior over the last few months. We discuss the issues that can arise from inconsistencies in generative AI models, how he tested ChatGPT’s performance in various tasks, drawing comparisons between March 2023 and June 2023 for both GPT-3.5 and GPT-4 versions, and the possible reasons behind the declining performance of these models. James also shared his thoughts on how surgical AI editing akin to CRISPR could potentially revolutionize LLM and AI systems, and how adding monitoring tools can help in tracking behavioral changes in these models. Finally, we discuss James' recent paper on pathology image analysis using Twitter data, in which he explores the challenges of obtaining large medical datasets and data collection, as well as detailing the model’s architecture, training, and the evaluation process. The complete show notes for this episode can be found at twimlai.com/go/645.