The Iferia Techcast
00:12:59 · Krishna Kumar Sharma
[00:12:59] S1: Yeah. So currently, if some things which you can easily do, which were impossible to think five years ago is basically training the robot's real world tasks, basically. So you might have seen the video of, like, you know, a robot, like, folding a cloth. Right? Like, folding a shirt or something. It looks like a simple thing, but it is basically very difficult because robots don't see the world the way we see. They see the world in kind of a multidimensional space, and for every point in the space is basically a mathematical equation. And now to do a dynamic task, multiple mathematical equations, like, you know, millions of calculations has to be happening in parallel in terms of division, in terms of the way robots arms, like, you know, the limbs, the actuators work, the way they are able to their fingers are working. Because imagine now, we are basically developing an artificial brain, like real artificial brain, like a nervous system. So, if a robot is able to go and walk and pick things up and fold clothes, basically, now they have some sort of a nervous system that they are able to do in hand eye coordination. Previously, it used to take years to train a robot, like one simple task. But now, companies are able to do it within a span of week or two, basically, that you give them... You feed them a lot of information about how to do a particular task, either via videos or using special devices, and then robots learn it very fast. Now there are also something called world model, where a robot can actually perceive the entire world. And even if a robot has not seen a task, it can try to do it somehow. And if the task is not very complicated, robots are able to do it themselves automatically within a day. So the speed at which machines are learning stuff and understanding the world has gone at an... Gone up at exponential rate compared to what was possible few years ago.
00:15:16 · Ezekiel Iferia
[00:15:16] S0: Alright. Alright. That was a really, you know, eye opening response. So, Krishna, you know, you you talk about the world moving toward sovereign AI, you know. You know, What what, you know, does that mean for a country's security? You know? Why why are nations starting to treat AI like they treat nuclear technology or intelligence?
00:15:45 · Krishna Kumar Sharma
[00:15:45] S1: Yeah. Basically, like, this is a very good question. And in terms of, like, why AI is getting treated as nuclear technology, the answer is that, like, AI is, like, one of those technology which is, like, revolutionizing the way we perceive the world. The the major thing which AI is able to do is that it is able to scale things beyond what we were able to scale before. Example, like, recently when Israel started attacks in Lebanon or Iran, they were able to attack at multiple locations at the same time with very pinpoint precision, like such a precision that I'm sitting here in my bed, and then a missile came. It did not destroy the entire building. It just dug a hole in my wall and only blasted my bed. So imagine this is the level of precision at which you are able to control weapons with the help of AI. And of course, when something is too powerful, you do not want other nations to have it. The same thing happened with nuclear weapons because they were able to do mass destruction. And now with the AI, you are able to do the similar level of destruction. So if it is not a real weapon, then using AI, you can do cyber warfare, you can do propaganda, you can do a lot of different dangerous things, right? And then every nation would want that they have the most powerful weapon so that they have the biggest stake to scare everyone away. This is the reason why sovereignty comes into picture because like seventy years ago, every nation wanted a nuclear power, nuclear weapon, so that maybe they don't want to attack, but they want to defend themselves or not get pushed around. The same way now AI is important that if you don't have this power, you will get pushed around by powers who are really controlling the AI.
00:17:50 · Ezekiel Iferia
[00:17:50] S0: Okay. So, you know, you are building for defense use cases. You know? So what... What's does that world look like to someone on the inside? You know? What are the ethical lines you think about when you are... You know, when when you build for that space?
00:18:07 · Krishna Kumar Sharma
[00:18:07] S1: Yeah. In terms of ethics, I would say that war in general is unethical. Right? Like, I I think, like, wars are bad for all of us. Even if you are not directly involved in a war, you will... You or your country will somehow be affected negatively because of the way the world is operating. But at the same time, you need to have defensive capabilities to protect yourself because the way our today's world is quite chaotic. In terms of ethics, I would say that what we are building, I can comment on that because the way current wars are happening, there is no ethics involved over there. But in Europe, the guardrail which they put in terms of ethics is that an AI should not be attacking a human by itself. Like you need to have AI can detect a target, and then a human needs to decide if the human wants to attack the target or not. This is something which Europe is doing. From my understanding, other countries, they don't have such guardrails. Like, there, the AI can detect the target, attack automatically. And the problem here can be that while AI is amazing, but AI is still like a pattern matching machine, and sometimes it can actually do mistakes. And so we don't even know a clear picture, like how many misfires would have happened or what boundaries has been crossed because of using AI because this information does not go openly. But I definitely feel that the way we are currently approaching AI, there can be some serious consequences in future.
00:20:04 · Ezekiel Iferia
[00:20:04] S0: Alright. So... No. Krishna, you you you you say that you've... No. You say that you discover the way to achieve fable five level quality, you know, using multiple AIs working together. So tell us about this. You know, for someone who is not very, you know, updated with the terminologies in recent AI development, you know, what does that mean? You know? Just walk us through it.