Eye On A.I.

Is ChatGPT Conscious? A Pioneer of AI Explains | Dr. Terry Sejnowski

Your Child's Data Profile Starts Before They're Born | Eamonn Maguire of Proton

Training AI Models Without a Billion-Dollar Data Center | Steffen Cruz of Macrocosmos

The Single Biggest Barrier to AI Adoption Isn't the Technology — It's This | Errol Gardner of EY

Oliver Dial of IBM: Quantum Advantage Is Happening This Year

Why Agentic-First Startups Won't Disrupt Enterprises as Fast as Everyone Thinks | Kris Lovejoy

Loris Degioanni: Why AI Is Breaking Cybersecurity, and What Comes Next

#342 Andrew Thangaraj: The $5,000 IIT Degree: Can India Fix Its Broken Education System?

#341 Celia Merzbacher: Beyond the Buzzword: The Real State of Quantum Computing, Sensing, and AI in 2025

#340 Steffen Cruz: Training AI Without Data Centres

#339 Eamonn Maguire: Your Child Has a Data Profile Before They're Born

#338 Amith Singhee: Can India Catch Up in AI? IBM's Amith Singhee on What It Will Take

#337 Debdas Sen: Why AI Without ROI Will Die (Again)

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

#335 Sriram Raghavan: Why IBM Is Betting Everything on Small AI Models

Small language models (SLMs) offer a more sustainable and efficient path for enterprise AI adoption than massive, monolithic models. By training 2-billion and 8-billion parameter models directly—rather than distilling them from larger ones—developers maintain base capabilities and safety alignment while controlling dat...

#334 Abhishek Singh: The $1.2 Billion Plan to Turn India Into an AI Superpower

#333 Adi Kuruganti: Why Your AI Pilot Is Failing and What It Takes to Reach Production

#332 Dan Faulkner: The Code Is Clean. The App Is Broken. Why AI Development Has an Integrity Problem

#331 Sergey Levine: The Robot Revolution Nobody Is Talking About

#330 Sebastian Risi: Why AI Should Be Grown, Not Trained