GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

A recent paper written by OpenAI which evaluate the impact of Large Language Models (LLM).

I read this paper carefully and would like to share some interesting findings.

[2303.10130] GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models (arxiv.org)

https://arxiv.org/pdf/2303.10130v1.pdf

ReadPaper Notes:

Summary

Generative Pre-trained Transformers (GPTs) as General-Purpose Technologies

General-purpose technologies (GPTs) are technologies that can affect an entire economy (usually at a national or global level). Examples include the steam engine and the internet. The paper discusses the potential future development of Generative Pre-trained Transformers (GPTs) as GPTs.

Key Results:

Exposure: The paper defines exposure as a measure of whether access to a GPT or GPT-powered system would reduce the time required for a human to perform a specific task by at least 50%.
Wages: Occupations with higher wages generally present with high exposure, meaning well-paying jobs could be vulnerable to GPTs becoming more prevalent in the workplace.
Skills: Occupations requiring programming and writing skills are more susceptible to being influenced by language models, while occupations requiring science and critical thinking skills are less likely to be impacted.
Barriers to Entry: Individuals holding Bachelor’s, Master’s, and professional degrees are more exposed to GPTs and GPT-powered software than those without formal educational credentials. Jobs with the least exposure require the longest training, potentially offering a lower payoff.

The results are counter intuitive and shocking. It seems that many programmers will be replaced by future GPTs.

Generative Pre-trained Transformers (GPTs) are general-purpose technologies (GPTs)

What are general-purpose technologies (GPTs)?