1 00:00:03,240 --> 00:00:03,720 Okay. 2 00:00:03,760 --> 00:00:10,520 What is going on in the AI education industry? 3 00:00:11,400 --> 00:00:23,440 So what we can tell you right now is that we have confirmed the defeat of traditional education. 4 00:00:24,880 --> 00:00:34,560 We are seeing a lot of confusion in the AI programs we see out there, and we will tell you more about 5 00:00:34,560 --> 00:00:34,960 that. 6 00:00:35,560 --> 00:00:45,160 And we are also still seeing that some of these traditional programs, or even some of the new programs 7 00:00:45,200 --> 00:00:59,400 are using a the entry barrier for coding as a a restriction for the students that we don't think make 8 00:00:59,400 --> 00:01:00,520 any sense. 9 00:01:00,560 --> 00:01:00,800 Okay. 10 00:01:00,840 --> 00:01:03,670 So let's talk a little bit about all these things. 11 00:01:03,670 --> 00:01:16,390 So why the traditional education, the universities, even business schools or AI, traditional AI education, 12 00:01:16,590 --> 00:01:26,270 uh, institutions are failing or are being defeated in the generative AI space because never before 13 00:01:26,630 --> 00:01:37,790 we have seen a field with such a fast rhythm of change, such a fast evolution. 14 00:01:38,310 --> 00:01:50,470 So the moment the traditional education institutions A announced a new generative AI program, this 15 00:01:50,470 --> 00:01:56,110 moment, uh, the content is obsolete. 16 00:01:56,790 --> 00:02:05,930 So generative AI is changing so fast that when a University or other education. 17 00:02:05,970 --> 00:02:07,010 Traditional education. 18 00:02:07,050 --> 00:02:11,130 Is it a prepare a program? 19 00:02:11,170 --> 00:02:12,570 An education program? 20 00:02:12,850 --> 00:02:15,610 That moment the program is obsolete. 21 00:02:15,610 --> 00:02:18,690 When they launch the program, the content is obsolete. 22 00:02:19,490 --> 00:02:22,410 So the rhythm of change is amazing. 23 00:02:23,370 --> 00:02:33,530 Traditionally, universities are always very, very slow to get up to speed. 24 00:02:33,570 --> 00:02:39,330 You know, with new, uh, fields like the one we are talking about. 25 00:02:39,730 --> 00:02:46,970 I remember, for example, when we in some of our startups, we went to the university in order to recruit, 26 00:02:47,010 --> 00:02:51,690 you know, some students for, for our startups. 27 00:02:51,690 --> 00:02:59,930 We were really shocked to, uh, to see that all these, uh, students of the last year of the university 28 00:02:59,970 --> 00:03:04,560 didn't know anything about the frameworks we were using in the market. 29 00:03:04,600 --> 00:03:13,600 Okay, so usually the university, I would say they are 5 to 10 years behind what is happening in the 30 00:03:13,600 --> 00:03:14,120 market. 31 00:03:14,440 --> 00:03:25,760 So you can say that a business schools and special I schools are a little bit more agile, more faster 32 00:03:25,760 --> 00:03:28,320 to get up to speed with what is happening. 33 00:03:28,360 --> 00:03:33,120 But what we are seeing with generative AI is that that is not the case. 34 00:03:33,320 --> 00:03:33,800 Okay. 35 00:03:34,280 --> 00:03:40,520 So most expensive master programs we are seeing out there are obsolete from day one. 36 00:03:41,080 --> 00:03:49,480 And most of the a traditional and alternative education options still does not. 37 00:03:49,960 --> 00:03:51,240 They do not get it. 38 00:03:51,280 --> 00:04:00,920 They really do not understand what is happening, what is going on, and mostly the differences between 39 00:04:00,960 --> 00:04:04,270 traditional AI and the new I. 40 00:04:04,590 --> 00:04:08,150 Okay, so we are seeing a lot of confusion there. 41 00:04:08,430 --> 00:04:08,910 Why? 42 00:04:09,430 --> 00:04:19,030 Because in many cases, the teachers of the new generative AI programs are the old teachers from the 43 00:04:19,030 --> 00:04:24,030 traditional AI programs and traditional AI and generative AI. 44 00:04:24,830 --> 00:04:26,430 They are two different worlds. 45 00:04:26,470 --> 00:04:33,830 And we will tell you, after studying traditional AI and practicing traditional AI and studying and 46 00:04:33,830 --> 00:04:37,310 practicing generative AI, they are two different worlds. 47 00:04:37,470 --> 00:04:45,230 And in most cases, you are having the same people teaching these two very different, uh, fields. 48 00:04:45,270 --> 00:04:45,750 Okay. 49 00:04:46,590 --> 00:04:56,830 So we can say proudly that AI accelerator, AI accelerator is democratizing the access to generative 50 00:04:56,830 --> 00:04:59,350 AI education all over the world. 51 00:04:59,790 --> 00:05:12,820 So we have more than 40,000 3000 students in more than 150 countries and in almost 20,000 cases. 52 00:05:12,860 --> 00:05:20,620 Our students are working in the top companies all over the world, so I think we are achieving our mission 53 00:05:20,620 --> 00:05:25,420 in that area, but we still have a long way ahead. 54 00:05:25,940 --> 00:05:30,340 Many more people can benefit from our programs. 55 00:05:30,940 --> 00:05:41,140 So another thing we are seeing is a lot of confusion in the way that the traditional education institutions 56 00:05:41,180 --> 00:05:44,420 are calling naming their programs. 57 00:05:45,300 --> 00:05:51,500 So they still have a huge confusion between traditional I and the new generative AI. 58 00:05:52,580 --> 00:05:57,260 They still have a lot of confusion with LLM application and agents. 59 00:05:58,380 --> 00:06:05,600 In short, you can say that the education industry does not have a standard way to name the generative 60 00:06:05,600 --> 00:06:10,840 AI programs, or to have a standard curriculum of contents. 61 00:06:11,160 --> 00:06:20,120 So in many cases, it is very surprising for us to find so many of our students that come from have 62 00:06:20,120 --> 00:06:24,480 had some experience in other generative AI programs. 63 00:06:24,520 --> 00:06:34,840 And when they complete our program, they tell us, wow, like 60% or 70% or 80% of the contents were 64 00:06:34,840 --> 00:06:36,160 totally new for me. 65 00:06:36,600 --> 00:06:43,760 And I was supposed to have a degree in generative AI, or I am working as a generative AI engineer for 66 00:06:43,760 --> 00:06:47,600 one year, and I didn't know most of the things you are teaching here. 67 00:06:47,640 --> 00:06:47,920 Okay. 68 00:06:47,960 --> 00:06:58,640 So we are in a moment where the traditional AI education and the traditional education institutions 69 00:06:58,960 --> 00:07:04,320 are not understanding what is happening in generative AI.