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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:02,280 --> 00:00:06,910 Have you ever thought of the types of AI that can come up in the world that you 2 00:00:06,920 --> 00:00:13,640 are living, or in a world where your kids or their grandkids are going to live? 3 00:00:13,880 --> 00:00:18,070 Hey everyone, in this lecture I'm going to explain the types of AI in the most 4 00:00:18,080 --> 00:00:23,160 easiest and simplest of form, so that even your five year old kid and your 55 5 00:00:23,200 --> 00:00:27,910 year old dad and mum would be able to understand and comprehend it. 6 00:00:27,920 --> 00:00:33,040 So shall we? Ok, so the first one is Artificial Narrow 7 00:00:33,050 --> 00:00:35,250 Intelligence or narrow AI. 8 00:00:36,050 --> 00:00:38,680 It's a type of AI which is very common 9 00:00:38,690 --> 00:00:42,280 nowadays. For example, the self driving cars, the 10 00:00:42,290 --> 00:00:47,050 Teslas, the robots that work in the Amazon workhouse. 11 00:00:47,330 --> 00:00:51,640 These things are artificial narrow intelligence and also chat gpt and 12 00:00:51,650 --> 00:00:55,480 googlebot and all these chat bots that are available there that have just come 13 00:00:55,490 --> 00:00:57,210 up from the abyss. 14 00:00:57,980 --> 00:00:59,450 These things are artificial narrow 15 00:00:59,460 --> 00:01:01,540 intelligence. Why is that? 16 00:01:01,660 --> 00:01:04,819 Because they can only perform a specific band of work. 17 00:01:05,220 --> 00:01:12,370 Their work culture or their work ways is not very broad. 18 00:01:12,380 --> 00:01:16,580 It is very much narrow and henceforth we call that artificial narrow intelligence. 19 00:01:17,660 --> 00:01:20,180 The second one is artificial general intelligence. 20 00:01:20,580 --> 00:01:24,930 Now when I talk about this, I need to be a little more concerned than the previous 21 00:01:24,940 --> 00:01:28,460 one because this can do a lot and lot of work. 22 00:01:29,020 --> 00:01:33,250 For example, it can do reasoning, it can do planning, it can do learning, 23 00:01:33,260 --> 00:01:36,690 creativity. But the fact is that AGI is still under 24 00:01:36,700 --> 00:01:41,810 development and it is really difficult to create an AGI because the amount of money 25 00:01:41,820 --> 00:01:46,500 and the resources it takes, there are no condition and impossible work. 26 00:01:46,660 --> 00:01:51,170 It is possible, and probably within the next two or three years we are going to 27 00:01:51,180 --> 00:01:52,300 see it happen. 28 00:01:53,070 --> 00:01:54,820 One is the most effective one, or 29 00:01:54,830 --> 00:01:57,670 probably the one where I'm the most afraid. 30 00:01:58,910 --> 00:02:03,510 And this one's is called the Artificial Super Intelligence. 31 00:02:04,630 --> 00:02:08,229 It's a hypothetical type of AI that is much more intelligent than humans. 32 00:02:08,990 --> 00:02:12,700 Artificial Super Intelligence would be able to solve any problems that a human 33 00:02:12,710 --> 00:02:18,140 can and it would be able to do it much faster and more efficiently than 34 00:02:18,150 --> 00:02:22,770 expected. Asi is not yet possible, but doesn't mean 35 00:02:22,780 --> 00:02:24,100 it's never gonna be possible. 36 00:02:25,020 --> 00:02:27,460 When ASI comes up in the mainframe, 37 00:02:28,300 --> 00:02:30,980 things are gonna get messed up big time. 38 00:02:31,660 --> 00:02:32,660 Remember that? 39 00:02:33,020 --> 00:02:37,890 And I hope this was really cool and now you know the types of AI which are as 40 00:02:37,900 --> 00:02:41,490 follows. Ai, which is a narrow intelligence, AGI 41 00:02:41,500 --> 00:02:45,500 which is the general intelligence and ASI which is the Super intelligence. 42 00:02:46,340 --> 00:02:49,180 The last two are yet to see the light of the day. 43 00:02:49,540 --> 00:02:51,620 That was it for this one. 44 00:02:51,850 --> 00:02:52,860 I'll see you in the next one. 4328

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