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How Sujatha predicted AI and Politics 30 years ago | His son Keshava reveals | Ambi Moorthy | TKP:01 Analytics Table

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About How Sujatha predicted AI and Politics 30 years ago | His son Keshava reveals | Ambi Moorthy | TKP:01

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The Knowledge Project hosted by Ambi Moorthy | Ep. 1 : Decoding வாத்தியார் Sujatha with his son Keshava. Our core belief: can we make complex concepts simple? That's the real intellectual reward and Sujatha lived it decades before it became a trend. This is a 2-hour deep dive, and Sujatha's timeless knowledge deserves to be discovered by this generation and beyond. In our very first episode, we sit down with Keshava, Shri Sujatha's son (based in Texas), for his first-ever interview : decoding the mind of the OG first-principles thinker, "Sujatha வாத்தியார்." Sujatha spent a lifetime making the complex simple across AI, science, and spirituality and this conversation goes deep into the man behind the writing. In this episode, we cover: → Fun personal anecdotes about Sujatha → His obsession with simplicity in writing and in life → His uncanny political prediction about CM Vijay that came true → Why the process of exploration matters more than the answer itself → Depth of understanding over superficial intelligence Our belief: can we make complex concepts simple? That's the real intellectual reward and Sujatha lived it decades before it became a trend. This is a 2-hour deep dive, and Sujatha's timeless knowledge deserves to be discovered by this generation and beyond. 00:00 Introduction 02:51 Welcoming the guest 03:07 His 40+ patents — career backstory (US in '89, epilepsy diagnosis, Ford Motors EV project, Talis, UK stint, Oracle, Halliburton, Chevron, IBM) 06:44 Founding Spandan (education start-up) 07:50 Are patents still relevant for young founders today? 09:53 Edge computing, affordable AI, Raspberry Pi/ASIC clusters 12:42 Protecting IP as a small company vs. big-corp patent wars 13:39 His own book-in-progress: "Physics-Informed AI" 16:00 Book format plans (manga version, "Head First"-style, undergrad text) 18:19 Pivot to talking about his father, writer Sujatha 19:43 Sujatha's philosophy on writing simply ("don't blame the audience") 23:44 Getting hooked on his father's books as a teenager 25:21 Growing up as a "celebrity kid," impostor syndrome, his brother 29:58 Father's death in 2020; a personal story about his grandfather 33:26 Relationship with his father; a parallel story about his father's mother's death; marrying a Japanese wife, his father's non-communal views 51:38 Most treasured memory (mentor "Pirina," his father's private vs. public persona, rare emotional moments) 55:57 Shift to science themes: Enthiran/Chitty the robot, "neural link" concept written in 1991 58:16 His father's creative sources — sci-fi genre, Ray Bradbury, physics background 59:46 Video-calling demo his father built in the 1970s 1:00:24 R&D9, Sophia, CRL, Tamil Linux fonts, his own Tamil–Kannada translation thesis 1:03:09 The famous "un-hackable" voting machine story 1:13:00 Ganesh detective-story character discussion 1:20:47 Hippies, counterculture, Steve Jobs tangent 1:22:00 Parallel to current Tamil Nadu politics; a prophetic political novel 1:23:59 "Fundamental Questions" — his father's book on death & religion 1:24:42 Theism/atheism, philosophy of religion in the family 1:31:35 A politically sensitive book, temporary ban from Chennai 1:33:07 His unfinished "magnum opus" — the one regret 1:36:00 Feminist themes in his writing, influence of *The Second Sex* 1:44:00 His portrayal of strong female characters 1:54:00 His standing in the film industry, working with major stars 1:56:00 Kamal Haasan collaborations (Dasavathaaram, Vikram) 2:00:59 The Shankar partnership; regret over an unmade Enthiran sequel 2:02:56 His writing's "meme-worthy," timeless quality today 2:04:59 Writing vs. filmmaking as fundamentally different crafts 2:07:00 Awards & recognition — why he never sought them 2:12:07 Book recommendations for young engineers ("More, More, More: Tell Me Why" and "Silicon Chip") 2:15:10 Closing gift exchange (a Feynman book) and thanks

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