Tom Brown, an early OpenAI employee and co-founder of Anthropic, shares key career insights that emphasize networking, mentorship, and self-study. After navigating various startups and struggling with linear algebra, Brown leveraged connections, notably with Greg Brockman, to enter AI. He advises surrounding oneself with aspirational peers and the value of mentorship in the learning process. In his transition to AI research, Brown undertook six months of rigorous self-study, utilizing resources like “Linear Algebra Done Right” and Coursera courses. He emphasizes the importance of offering help to experts in your desired field, urging aspiring AI professionals to take calculated risks. Brown’s ultimate guidance for success is to engage directly in your interests, noting that practical experience often reveals areas needing improvement. He underscores maintaining low personal expenses to support career development. Overall, Brown’s journey reflects the power of determination and strategic networking in achieving career goals in AI.
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