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Hard Work is Useless. This is What Matters. | Manav Gupta | TEDxGHRCEMN

Mr. Manav Gupta, a tech educator and machine learning engineer, argues that hard work alone is insufficient for success. He explains that while hard work has magnitude, it lacks direction. To succeed, especially in tech, one must think in "vector quantities" and focus on two critical "directions": AI Infrastructure (specifically "quantization") and Distribution. He also discusses leveraging the "Butterfly Effect" for massive returns from small, consistent actions. Manav Gupta is a 3x Kaggle Expert, AI Educator, and Founder of Pluto Labs, where he builds real-world AI solutions that impact thousands — from tools for the visually impaired to mental health platforms. At just 22, he has judged the Smart India Hackathon, delivered 50+ sessions at IITs/NITs, and mentored students across the country. With a community of 260K+ Instagram followers, Manav makes machine learning simple, practical, and exciting — turning curiosity into careers for the next generation of tech talent. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

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