PM Modi mentioned that he had shared a “fascinating conversation” with AI researcher and US-based podcaster Lex Fridman. The podcast is expected to be out today.
Photo : Twitter
Prime Minister Narendra Modi’s podcast with AI researcher and US-based podcaster Lex Fridman will be out on Sunday. The official announcement had been made by Fridman in January when he had taken to social media platform X to share that he would be hosting the Indian Prime Minister. On Saturday, Fridman confirmed the release of the three-hour long podcast, stating that it would be available on March 16 at 5:30 PM IST.
Taking to X, PM Modi mentioned that the two had shared a “fascinating conversation” in which he covered diverse topics, including reminiscing about his childhood. Fridman on the other hand called it “one of the most powerful conversations” of his life.
It was indeed a fascinating conversation with @lexfridman, covering diverse topics including reminiscing about my childhood, the years in the Himalayas and the journey in public life.
Do tune in and be a part of this dialogue! https://t.co/QaJ04qi1TD
— Narendra Modi (@narendramodi) March 15, 2025
Who is Lex Fridman?
Lex Fridman is a computer scientist and artificial intelligence (AI) researcher associated with the Massachusetts Institute of Technology (MIT) in Cambridge. He is the host of the Lex Fridman Podcast, where he interviews notable figures from various fields such as science, technology, sports, and politics. He has a significant social media presence, with over 4.5 million subscribers on YouTube, 1.4 million followers on Instagram, and 4.2 million followers on X.
Born in 1983 in what is now Tajikistan, Fridman was raised in Moscow during the final years of the Soviet Union. His family immigrated to the United States when he was a child. Fridman pursued his undergraduate studies at Drexel University in Philadelphia, earning a BSc in Computer Science where his passion for AI and machine learning began to take shape.
He later completed his Master’s and PhD in Electrical and Computer Engineering at Drexel, focusing on human-centered AI and machine learning applications and joined MIT, where he became deeply involved in exploring how AI can understand and predict human behavior. He has worked on cutting-edge projects at the intersection of AI, robotics, and human behaviour and his research focuses on developing systems capable of understanding and predicting human actions, particularly in the context of self-driving cars.
