Nagendra Nagaraja, founder, CEO, and chairman of QpiAI, believes that artificial intelligence is fundamentally misunderstood. 

“I don’t want to use the word AI, I want to use the word intelligence modelling,” Nagaraja said during his keynote speech at the 17th edition of YourStory’s flagship tech-startup event, TechSparks.

He explained conventional AI primarily automates tasks using digitised human knowledge rather than expanding human understanding. For Nagaraja, true intelligence requires a fundamental paradigm shift.

“Intelligence means that you have some information that nobody has... But the definition of intelligence for me is knowing new things that we can’t know,” he said, adding that “for all intelligence, there is one Godfather... We call that as data.”

Today’s AI boom relies on classical microprocessors that process information using binary bits, represented by zeros and ones. However, conventional silicon semiconductors face physical limitations as chip performance scales. Electrical resistance generates heat, creating challenges in chip design and pushing companies towards advanced packaging techniques, including 3D chip stacking. Meanwhile, large data centres are placing increasing demands on power grids, with some consuming gigawatts of electricity.

“A lot of AI companies... understand that they have to spend NVIDIA tax, to give money to NVIDIA to use GPUs,” Nagaraja pointed out. 

Additionally, large language models (LLMs), algorithms trained on human text, are hitting data saturation and yielding diminishing returns despite requiring trillions of dollars in investment.

According to Nagaraja, a fundamental limitation of current AI is its total reliance on digitised human text, which represents a miniscule fraction of universe-level information.

Source link