In a recent episode of Nikhil Kamath’s podcast, Bill Gates spoke all about AI and its equation in India for entrepreneurs. “I’d probably build some AI thing and just use the Google Microsoft platforms and go on top of that and try,” he said, suggesting young entrepreneurs to use established AI platforms to build applications on top of them.
Gates highlighted that by using these robust AI platforms, Indian entrepreneurs can focus more on developing specific applications rather than spending significant resources on creating the foundational AI technology themselves.
Solves Compute, Fosters Collaboration
Considering how developing foundational AI models from scratch requires immense capital and technical expertise, Gates suggested that by leveraging existing platforms, entrepreneurs can bypass these hurdles, making their ventures more resource-efficient.
Gates also believes that integrating with AI platforms from major tech companies can lead to valuable collaborations and growth opportunities. These tech giants often have programs and networks that support startups, providing mentorship and potential funding.
However, when asked about the timeline for achieving AGI, Gates seemed to smartly answer the question without revealing anything. He instead spoke about productivity benefits about AI.
AGI is Productivity?
When asked about a timeline for AGI, Gates spoke about productivity improved with AI. Gates pointed out that AI, even in its current state, is already driving significant productivity gains by automating repetitive and time-consuming tasks. He suggested that as AI technology evolves, these gains will only increase.
A Youtube user said, “He [Gates] was not willing to reveal the secrets of AGI and future technology prospects to Indians. So he was beating around the bush throughout the conversation.”
Gates might have not given anything conclusive about AGI, however other tech leaders such as Elon Musk predict AGI sooner than ever. He even predicted a short timespan of two years, or possibly even one, for achieving the same.
AGI is Here?
In AIM’s recent interaction with GitHub CEO, Thomas Dohmke said, “Today I see no sign that machine learning models or LLMs have sentience. They are not creative. They are machines created by us that help us with the things that we want to do or don’t want to do.”
Dohmke highlighted how people have a different understanding of AGI, and even doesn’t understand what the ‘G’ in AGI truly stands for. Resonating a similar thought, NVIDIA chief Jensen Huang believes that in five years, we would be able to hit AGI, but it becomes important to define AGI.
