The Impact of GPT-4 and Large Language Models on Jobs: Economic Analysis

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  • Опубліковано 15 лип 2024
  • In this video, we delve into the economic implications of GPT-4 and other large language models on the labor market. We explore how these models are designed to replace tasks rather than entire jobs and discuss the potential impact on different professions. From healthcare to graphic design, we examine how the increased productivity brought by these models may lead to job displacement and changes in work dynamics. Join us as we analyze the findings from OpenAI's research paper and explore the potential consequences of the widespread use of large language models in various industries.💡🤖
    --TIMESTAMPS--
    00:00 Introduction
    00:47 The labour Potential of Large Language Models
    01:57 Tasks not Jobs
    05:51 LLMs: Processing Assembly, Proteins, Chess
    07:17 Exam results by GPT 3.5 pertormance
    07:57 Comparing Automation Exposure Measures: Consistent Findings
    09:14 GPTs and LLMs: Challenges for Policymakers
    10:37 Challenges of General-Purpose GPTs
    11:10 Enhancing Legal Research and Coding with LLMs
    11:47 The Economic Impacts of Automation Technologies
    11:52 Technology's Impact: Task Displacement vs. Task Reinstatement
    12:21 The Power of General-Purpose Technologies (GPTs)
    14:42: Occupations and Activities: A Precise Analysis
    14:58 Exposure Rubric: GPTs Accelerating Human Tasks
    16:04 Subjective human judgments
    16:29 Measuring GPTs with GPT-4
    16:53 Validity of task-based framework
    17:17 Relative VS Absolute Measures
    17:41 Results
    18:04 Wages & Employment
    20:29 GPTs as a General-Purpose Technology
    20:47 Conclusion
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