"Gabriel Petersson said on an episode of the "Extraordinary" podcast published on Thursday that he's in a job traditionally only done by people with doctorate degrees because he was able to learn machine learning through ChatGPT. "Universities don't have, like, a monopoly on foundational knowledge anymore," he said. "You can just get any foundational knowledge from ChatGPT." "You start with a problem, you recursively go down," he added."
"He applied the same top-down approach to understanding machine learning from scratch. He would ask ChatGPT which project to build, then have it generate the code. When it ran into bugs, he would fix them with the model's help. From there, he drilled into specific components of the system until the underlying ideas clicked. "Suddenly, you have all the foundational knowledge, like, it doesn't need to go bottom up anymore," he said."
Gabriel Petersson dropped out of high school in 2019 and learned coding while working at a small startup in Sweden, building product recommendation systems, scraping, and integrations. He used a top-down learning approach with ChatGPT, asking the model which projects to build, generating code, debugging with model assistance, and drilling into specific components until core ideas clicked. He gained foundational machine-learning knowledge without formal doctoral training and focused on results over credentials to demonstrate ability. Petersson previously worked at Midjourney and Dataland and joined OpenAI's Sora team in December. The experience suggests that ChatGPT can supply foundational knowledge previously acquired through formal education.
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