#336 Professor Mausam: Why India Is Losing the AI Race and What It Will Take to Catch Up
Eye On A.I.20 Huhti

#336 Professor Mausam: Why India Is Losing the AI Race and What It Will Take to Catch Up

What if the country that produces the world's top AI talent finally figured out how to keep it?

In this episode of Eye on AI, Craig Smith sits down with Professor Mausam, one of India's leading AI researchers, AAAI Fellow, and founding head of the Yardi School of Artificial Intelligence at IIT Delhi, to get an honest and unflinching diagnosis of why India has fallen so far behind the US and China in artificial intelligence and what it will actually take to close that gap.

Mausam breaks down the structural story behind India's deficit. A pipeline of world-class students that gets exported abroad the moment it graduates. A professor shortage so severe that IIT Delhi's entire School of AI has hired only five new faculty members in five years. A government AI mission with the right instincts but not enough speed or boldness. And a brain drain made worse by the very thing India is proud of, its English fluency, which makes its talent the easiest in the world to absorb and the hardest to bring back.

Mausam walks through the full picture. How China built its research dominance not through students but through aggressively repatriating senior researchers with real salaries, real lab resources, and real authority to build research cultures from scratch. Why the AlexNet moment in 2012 was actually an equalizer that gave China's fledgling ecosystem a surprise advantage over more established Western research groups. How India's JEE coaching culture and IIT bottleneck are symptoms of a scarcity of quality institutions rather than a broken exam. What the government's AI mission is getting right on compute, data, and sectoral focus, and where the critical gaps remain. And why Mausam believes that bringing one hundred top professors back to India would do more for the country's AI future than any single government program or funding initiative.

We also get into the harder questions. Whether AI degrees belong at the undergraduate level or should sit on top of a computer science foundation. Why Mausam no longer holds an optimistic view on AI's impact on software jobs and why he thinks Geoff Hinton's point about plumbers has merit. And what it would actually take for a democracy of 1.4 billion people to stop training the world's AI leaders and start keeping them.

Subscribe for more conversations with the researchers, builders, and policymakers shaping the future of artificial intelligence.

Stay Updated:
Craig Smith on X: https://x.com/craigss
Eye on A.I. on X: https://x.com/EyeOn_AI

(00:00) Introduction: India's AI Gap and Professor Mausam's Background
(02:30) Building the Yardi School of AI at IIT Delhi
(07:44) How Far China Has Pulled Ahead in AI Research
(12:55) Why India Could Not Follow China's Playbook
(29:18) The JEE System, Coaching Culture, and the IIT Bottleneck
(30:37) AI Degrees, Job Market Realities, and the Future of Work
(44:18) The Real Problem Is Professors, Not Students
(48:07) Big Tech Labs in India: Helpful but Not at Scale
(51:46) The Government AI Mission: Progress and Gaps
(55:20) The Compute and Data Infrastructure Problem
(59:54) Can India Close the Gap Before It Is Too Late

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(386)

Chat GPT's Creator Explains The Shocking Truth About How AI Understands the World | Ilya Sutskever

Chat GPT's Creator Explains The Shocking Truth About How AI Understands the World | Ilya Sutskever

Craig Smith sits down with Ilya Sutskever - Co-Founder and Chief Scientist at Safe Superintelligence Inc. & former chief scientist at OpenAI and one of the primary minds behind GPT-3, GPT-4, and the d...

9 Loka 41min

The Coordination Tax: Why AI Is Burning Out Your Best People | Dan O'Connell, Front

The Coordination Tax: Why AI Is Burning Out Your Best People | Dan O'Connell, Front

Everyone assumes AI in customer operations means fewer people and lower costs. The data from 700 customer operations leaders is more complicated, and more honest. Dan O'Connell, CEO of Front, joins Cr...

6 Loka 51min

Ukraine's Secret Weapon: The Points System Winning the Drone War | Andrii Hrytseniuk

Ukraine's Secret Weapon: The Points System Winning the Drone War | Andrii Hrytseniuk

Ukraine tracks every confirmed drone kill with video evidence, deduplicates the data to prevent double-counting, converts verified strikes into e-points, and delivers newly ordered weapons to frontlin...

2 Loka 33min

Why Current AI Cannot Be Conscious | Dr. Christof Koch

Why Current AI Cannot Be Conscious | Dr. Christof Koch

One in four patients currently being considered for life support withdrawal may actually be fully conscious, they just can't signal it. That single finding, from a landmark New England Journal of Medi...

30 Syys 1h 1min

The Technology for Fully Autonomous Attack Is Already Here | Alex Liannyi, NORDA Dynamics

The Technology for Fully Autonomous Attack Is Already Here | Alex Liannyi, NORDA Dynamics

The AI systems guiding Ukrainian combat drones aren't running on expensive Nvidia chips. They're running on a Raspberry Pi Zero - a $15 hobby computer - and that single detail tells you more about how...

24 Syys 19min

Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's Group

Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's Group

The first armed drone Ukraine ever fielded wasn't built in a factory or procured from a defense contractor. It was built in four months by a network engineer using a Starlink terminal and a large agri...

21 Syys 1h 5min

The Hidden Algorithm That Decides Which Software AI Will Recommend | Tim Sanders, G2

The Hidden Algorithm That Decides Which Software AI Will Recommend | Tim Sanders, G2

Most companies investing in AI visibility are optimizing for the wrong thing. Being cited by an AI response and being recommended by an AI response are completely different outcomes, with click-throug...

14 Syys 58min

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

Every major data breach in the last 30 years shares the same root cause: the data inside the wall was never protected, only the wall. And AI frontier models are now making that wall easier to breach t...

10 Syys 55min