AI Is Coming for the Experts. First, It Needs Their Help
Feb 21, 2024
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AI is changing the game for experts in math, creative writing, and nuclear physics, as they help train AI systems for various tasks. The demand for expert data laborers in the AI industry is on the rise, with specialists earning different hourly rates and facing job instability. The podcast delves into how AI is reshaping job roles and the future of work.
AI training by experts can lead to advancements benefiting humans, rather than replacing them.
Data labor shifts towards higher-quality inputs, requiring specialized knowledge and fact-checking from experts.
Deep dives
Training AI in Math: A Math Expert's Role
Jay, a math expert, was hired to train an AI system in math through an online platform. He worked as a guide for the machine learning system, providing feedback on its solutions and evaluating its answers. Despite concerns about being replaced, Jay believes that training AI can lead to advancements and AI systems that benefit rather than replace human expertise.
The Shift in Data Labor Demands
As AI technology advances, data providers like Remotasks are seeking more expert data laborers to improve AI models. They require subject matter experts, language specialists, and creative writers to provide specialized knowledge and fact-checking. This shift in demands for data labor suggests a move towards higher-quality data and away from scraping the internet for information.
The Pros and Cons for Data Laborers
Data laborers, including white-collar workers, are enticed by the high wages offered for training AI. However, they may also face job instability and unpredictability, as tasks can suddenly dry up or projects can pause. Despite this, some workers see their role in training AI as part of human progress and utilize AI in their other professions.
A new workforce of language experts, creative writers, and nuclear physicists are turning to data labor—and potentially making their future jobs obsolete in the process. Thanks for listening to WIRED. Talk to you next time for more stories from WIRED.com and read this story here.