So nvidia’s, CEO Jensen, Wang, did a special address at an AI Summit in India. Now this talk was rather fascinating because it was one of those talks that gives you an Insight with as to where we headed overall in AI. I know most talks are about AI. This or AI that, but this one covered three key topics that I think most people aren’t focused on. One of them was the inference time with the new paradigm that AI is moving towards. As you know, the new 01 model thinks before it actually talks, and that means that the model gets smarter with its responses. There was also the talk about agents and how they’re going to impact the workplace. And lastly, we got a really cool look at how physical AI is going to change the world in the future with humanoid robots. So this talk is going to be a shortened summary and I’m going to give you guys the key details you need to know so. Coming in at the first point, one of the first talks that he actually gives was about the new inference time AI. This is where he speaks about how This Ti of AI is quite different. It’S basically like how you have system one and system, two thinking system, one being that short Snappy. Where someone ask you something immediately, you immediately know the response, but system 2 is kind of deliberative and you know planning and reasoning through certain steps to get to your response, and this is a SCA scaling law at a time of inference. The longer you think the higher quality answer you can produce. This is not illogical. This is very, very intuitive to all of us. If you were to ask me, what’s my favorite uh Indian food, I would tell you chicken briani, okay, and I don’t have to think about that very much, and I don’t have to reason about that. I just know it, and there are many things that you can ask it like. For example, what’s Nvidia good at Nvidia is good at building AI supercomputers nvidia’s great at building gpus, and those are things that you know that it’s encoded into your knowledge. However, there are many things that requires reasoning. You know, for example, if I had to travel from uh Mumbai to California. I I want to do it in the in a way that allows me to enjoy four other cities along the way you know today, uh got here at 3:00 a.m.

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