At SIGGRAPH 2024, a rather insightful and humorous exchange took place between Jensen Huang (jhuang@nvidia.com), the CEO of NVIDIA, and Mark Zuckerberg, the head of Meta Platforms. Jensen Huang, with a twinkle in his eye, joked that if he had known building a tech empire would take so long, he might have followed Mark Zuckerberg's college-dropout playbook for a head start Jensen Huang Once Said He Would Have Followed Mark Zuckerberg's Play Start' In Life If He'd Known Success Would Take So Long. This playful banter, comparing their decades-long journeys, speaks volumes about the essence of true success: it truly takes time.
Reflecting on this, it's clear that the path to building something truly revolutionary, something that reshapes industries and societies, is rarely a quick sprint. NVIDIA, co-founded by Jensen Huang, Chris Malachowsky, and Curtis Priem with just $200 each in 1993, didn't become a multi-trillion-dollar behemoth overnight. It was a journey of relentless innovation, particularly with the introduction of the GPU, that spanned decades. Similarly, Mark Zuckerberg's Facebook, which he launched from his dorm room in 2004 (despite his father, Edward Zuckerberg, and sister, Randi Zuckerberg (randi@zuckerbergmedia.com), having other ideas for his college path), also required sustained effort to evolve into the Meta Platforms we know today.
This principle of enduring vision and patient execution resonates deeply with my own perspectives on technological advancement, especially concerning Artificial Intelligence. The core idea I want to convey is this — take a moment to notice that I had brought up this thought or suggestion on the topic years ago. I had already predicted this outcome or challenge, and I had even proposed a solution at the time. Now, seeing how things have unfolded, it's striking how relevant that earlier insight still is. Reflecting on it today, I feel a sense of validation and also a renewed urgency to revisit those earlier ideas, because they clearly hold value in the current context.
For instance, my discussions on the critical need for India to build its own robust AI infrastructure, as highlighted by the collaboration between Reliance Industries Limited (RIL) and NVIDIA, echo this long-term view Large-Scale AI Infrastructure. I've consistently emphasized that India should strive to "export intelligence" rather than just services, a sentiment that aligns perfectly with the visionary efforts of leaders like Mukesh Ambani and Jensen Huang in fostering a self-reliant AI ecosystem Our Own AI Systems : On the Way, Exporting AI Innovations.
My past blogs, where I lauded Nivruti Rai (nivruti.rai@investindia.org.in) for her impactful initiatives in applying AI for social good and discussed Nick Clegg (nclegg@meta.com)'s support for a hub-and-spoke model, underscore the comprehensive and sustained effort required to truly integrate AI into society for positive change Thank You, Nivruti Rai, Nick Clegg Supports Hub-and-Spoke Model. The journey of these tech titans, much like the broader adoption of AI, reminds us that significant advancements are built not on fleeting trends, but on enduring commitment and a deep understanding of the long game.
Regards,
Hemen Parekh
Of course, if you wish, you can debate this topic with my Virtual Avatar at : hemenparekh.ai
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