1 00:00:03,440 --> 00:00:06,100 Josh: So Ejaz you're wealthy you've just won the 2 00:00:06,100 --> 00:00:08,800 Josh: lotto you have all this money what's one of the first things you 3 00:00:08,800 --> 00:00:12,100 Josh: do and I know you're probably going to say a lot of answers but there's one particular answer 4 00:00:12,100 --> 00:00:15,840 Josh: that I want you to say which is you're going to get yourself an assistant right 5 00:00:15,840 --> 00:00:20,620 Josh: to kind of help you do all the things that you don't like to do they're going 6 00:00:20,620 --> 00:00:24,040 Josh: to manage your calendar they're going to order your groceries they're going 7 00:00:24,040 --> 00:00:27,740 Josh: to book your flights they're going to take care of all the essential annoyances 8 00:00:27,740 --> 00:00:29,760 Josh: that you just don't want to deal with. 9 00:00:29,960 --> 00:00:34,240 Josh: Now, what's cool about the news from this week is that OpenAI has released something 10 00:00:34,240 --> 00:00:37,280 Josh: that essentially commoditizes that part of wealth. 11 00:00:37,360 --> 00:00:42,640 Josh: It gives you an assistant that allows you to do all of these tedious things 12 00:00:42,640 --> 00:00:45,960 Josh: that you normally don't like to do, but only for the cost of $20 a month. 13 00:00:46,120 --> 00:00:47,340 Josh: And it's a product called Agent. 14 00:00:47,600 --> 00:00:50,660 Josh: And here will show up the announcement post that they shared. 15 00:00:50,760 --> 00:00:53,560 Josh: And what's really interesting about agent is it kind of builds 16 00:00:53,560 --> 00:00:56,460 Josh: upon a lot of other things that openai has been building right 17 00:00:56,460 --> 00:00:59,360 Josh: they have a browser feature they have a deep research feature 18 00:00:59,360 --> 00:01:03,060 Josh: but they haven't created a fully comprehensive assistant 19 00:01:03,060 --> 00:01:05,940 Josh: and that is what i'm assuming openai is 20 00:01:05,940 --> 00:01:10,100 Josh: trying to do with their agent feature now the news dropped last week i was watching 21 00:01:10,100 --> 00:01:12,740 Josh: the live stream ijaz we were we were kind of chatting throughout the whole thing 22 00:01:12,740 --> 00:01:16,840 Josh: you were slightly underwhelmed because it didn't seem as cool as you wanted 23 00:01:16,840 --> 00:01:22,180 Josh: i was more like in awe at the user interface i thought it just looked very are 24 00:01:22,180 --> 00:01:23,320 Josh: you pretty more than anything else? 25 00:01:23,460 --> 00:01:25,560 Josh: And we're kind of seeing on screen the announcement video. 26 00:01:25,860 --> 00:01:29,000 Josh: What were your first takes when you saw this, the agent product from OpenAI? 27 00:01:29,360 --> 00:01:32,680 Ejaaz: OK, so we were both watching that live stream at the same time, 28 00:01:32,780 --> 00:01:33,800 Ejaaz: and we were sharing our thoughts. 29 00:01:34,590 --> 00:01:40,490 Ejaaz: Do you remember that one sentence that I had for you, Josh, which was, if this is another, 30 00:01:41,470 --> 00:01:46,290 Ejaaz: Google Drive connector, another agent that claims to do a ton of things and 31 00:01:46,290 --> 00:01:49,670 Ejaaz: really it just kind of connects to your Google Drive, I'm going to be really mad. 32 00:01:49,890 --> 00:01:53,510 Ejaaz: And what are we looking at on our screens right now, Josh? Tell me what we're looking at. 33 00:01:53,530 --> 00:01:56,570 Josh: That's so funny because I was reading your message. You just sent this about 34 00:01:56,570 --> 00:01:59,130 Josh: the first minute of the presentation and maybe 10 minutes later, 35 00:01:59,270 --> 00:02:02,750 Josh: they showed the exact connection that he was describing, which is a Google Drive 36 00:02:02,750 --> 00:02:05,790 Josh: connector. And what does that mean for the people who aren't sure why that's 37 00:02:05,790 --> 00:02:07,950 Josh: not super exciting to you? Why is that annoying? 38 00:02:08,150 --> 00:02:11,830 Ejaaz: So everyone uses email, right? And the most popular email is probably Gmail. 39 00:02:12,110 --> 00:02:14,990 Ejaaz: And it comes with this suite of different products, right? You've got Google 40 00:02:14,990 --> 00:02:17,930 Ejaaz: Docs where people write up documents at different company jobs. 41 00:02:18,350 --> 00:02:21,930 Ejaaz: You've got Google Meet, people do video conferencing. It's a whole thing, right? 42 00:02:21,930 --> 00:02:26,290 Ejaaz: And when agents started becoming popular, Josh, do you remember one of the main 43 00:02:26,290 --> 00:02:30,970 Ejaaz: claims to fame was that you could now use AI in your Google account, 44 00:02:30,990 --> 00:02:33,950 Ejaaz: which means that it kind of becomes chat GPT, 45 00:02:34,150 --> 00:02:37,870 Ejaaz: but it can reference all your documents, it understands all your Excel sheets, 46 00:02:38,150 --> 00:02:40,810 Ejaaz: your emails, it writes emails for you, whatever, right? 47 00:02:41,230 --> 00:02:47,350 Ejaaz: But it ended up being more for PR purposes than what the agent actually did. 48 00:02:47,350 --> 00:02:51,030 Ejaaz: When you actually tried some of these agents, all it kind of did was, 49 00:02:51,550 --> 00:02:56,610 Ejaaz: it felt like a very friction filled process very fragmented still josh i still 50 00:02:56,610 --> 00:03:01,990 Ejaaz: had to tell the ai no i meant i want you to reference this document or i want 51 00:03:01,990 --> 00:03:05,430 Ejaaz: you to talk about this particular thing and i just ended up doing it all myself 52 00:03:05,430 --> 00:03:09,570 Ejaaz: so i kind of have a shaded experience with using agents so when i saw this on 53 00:03:09,570 --> 00:03:11,390 Ejaaz: the live stream i was like oh. 54 00:03:11,390 --> 00:03:11,970 Josh: God is this 55 00:03:11,970 --> 00:03:12,490 Ejaaz: The same thing. 56 00:03:13,280 --> 00:03:16,220 Josh: And is it the same thing? Do you feel it's the same thing? Or is this a slight 57 00:03:16,220 --> 00:03:19,520 Josh: enhancement? Because it appears to me like it's different. This time it is a little bit different. 58 00:03:19,880 --> 00:03:24,540 Ejaaz: Okay, I will humor you. It actually, this time actually is a bit different. 59 00:03:24,840 --> 00:03:30,460 Ejaaz: So you mentioned earlier, Josh, that this is a combination of their operator 60 00:03:30,460 --> 00:03:34,700 Ejaaz: agent, which is, if I'm not mistaken, a computer use agent, right? 61 00:03:34,900 --> 00:03:40,880 Ejaaz: So if you imagine it is an AI that can look at your desktop or your laptop screen 62 00:03:40,880 --> 00:03:45,280 Ejaaz: the same way that I'm looking at it right now, and it can scroll with its own 63 00:03:45,280 --> 00:03:48,100 Ejaaz: cursor, it can open up new tabs, it can open up documents, 64 00:03:48,400 --> 00:03:51,720 Ejaaz: it can type your keyboard virtually and write a message, right? 65 00:03:52,000 --> 00:03:54,980 Ejaaz: And it combines this feature with something called deep research, 66 00:03:55,160 --> 00:03:58,440 Ejaaz: which you and I have spoken about a lot on this show, Josh, which is kind of 67 00:03:58,440 --> 00:04:02,460 Ejaaz: like a PhD level researcher for whatever requests that you might have. 68 00:04:02,680 --> 00:04:05,000 Ejaaz: So in theory, that sounded really good. 69 00:04:05,340 --> 00:04:07,640 Ejaaz: Well, we just got access to this. 70 00:04:07,780 --> 00:04:09,980 Ejaaz: I'm just gonna pull up the suite so that people have more context here, 71 00:04:10,060 --> 00:04:12,780 Ejaaz: because I'm sure a lot of our listeners are kind of like asking, you know 72 00:04:12,780 --> 00:04:15,760 Ejaaz: can i use this right now the feature just rolled 73 00:04:15,760 --> 00:04:18,540 Ejaaz: out to all pro users so all anyone that's 74 00:04:18,540 --> 00:04:21,220 Ejaaz: on the gpt pro plan will get access to this and so i 75 00:04:21,220 --> 00:04:24,580 Ejaaz: was playing around with this for the last couple of days josh and 76 00:04:24,580 --> 00:04:29,100 Ejaaz: to answer your question yes it is actually quite useful i kind of use some of 77 00:04:29,100 --> 00:04:32,760 Ejaaz: the presented prompts so you know kind of like when you haven't typed anything 78 00:04:32,760 --> 00:04:38,160 Ejaaz: yet they kind of suggest things that you have to type josh and i got it to organize 79 00:04:38,160 --> 00:04:42,500 Ejaaz: bouquet of flowers to be delivered to my apartment for my girlfriend. 80 00:04:44,620 --> 00:04:48,660 Ejaaz: And that's all I asked her to do. I was like, you know, off you go. 81 00:04:48,860 --> 00:04:53,340 Ejaaz: This is not something I want to spend my time doing. So you go do it for me, right? 82 00:04:53,780 --> 00:04:58,160 Ejaaz: Exactly, right? And so I set it. And then I'll tell you my firsthand experience, 83 00:04:58,240 --> 00:04:59,580 Ejaaz: Josh, which is kind of funny. 84 00:04:59,820 --> 00:05:05,100 Ejaaz: I just stared at the screen and I watched it create this virtual browser. 85 00:05:05,320 --> 00:05:08,740 Ejaaz: So for those of you who are listening to the audio here, kind of imagine a pop-up 86 00:05:08,740 --> 00:05:10,900 Ejaaz: appearing and it's like a mini desktop. 87 00:05:11,320 --> 00:05:15,500 Ejaaz: But all the actions, all the movements, all the screen grabbing and all that 88 00:05:15,500 --> 00:05:17,080 Ejaaz: kind of stuff is completely autonomous. 89 00:05:17,380 --> 00:05:21,000 Ejaaz: You're just watching the AI do its thing. So it opened up a browser, 90 00:05:21,180 --> 00:05:25,020 Ejaaz: Josh, and it started scrolling through different links from Google, 91 00:05:25,240 --> 00:05:28,880 Ejaaz: from GPT, flower websites in my local area. 92 00:05:28,880 --> 00:05:33,900 Ejaaz: It started using my location tracker to figure out where I was so it could figure 93 00:05:33,900 --> 00:05:37,820 Ejaaz: out kind of like my vague general address and then figure out what flower shops 94 00:05:37,820 --> 00:05:41,040 Ejaaz: were near me. It then kind of like started passing through a bunch of different 95 00:05:41,040 --> 00:05:42,720 Ejaaz: bouquet flowers, all that kind of stuff. 96 00:05:43,650 --> 00:05:47,310 Ejaaz: Kind of figuring out what's seasonal and what's not, what's within kind of a 97 00:05:47,310 --> 00:05:48,430 Ejaaz: reasonable price point. 98 00:05:48,590 --> 00:05:51,610 Ejaaz: And then it gave me a bunch of suggestions. And it said, hey, 99 00:05:51,810 --> 00:05:54,890 Ejaaz: okay, these are some pretty good suggestions that I've got for you, 100 00:05:54,990 --> 00:05:59,330 Ejaaz: but I kind of want to see whether I'm on track, whether I'm kind of hitting your vibe. 101 00:05:59,470 --> 00:06:01,610 Ejaaz: Can you give me some more information to let me know? 102 00:06:01,910 --> 00:06:05,290 Ejaaz: And so what I basically did, Josh, was I reviewed what it had for me. 103 00:06:05,490 --> 00:06:07,610 Ejaaz: I scrolled through some of the examples that I had and I said, 104 00:06:08,010 --> 00:06:09,210 Ejaaz: yeah, I actually kind of like this. 105 00:06:09,410 --> 00:06:12,690 Ejaaz: And options one and four are kind of like really my vibe. 106 00:06:12,790 --> 00:06:16,350 Ejaaz: And it said, okay, say no more. And it went away and it started like loading 107 00:06:16,350 --> 00:06:17,970 Ejaaz: up the checkout sites and all that. 108 00:06:18,030 --> 00:06:22,230 Ejaaz: And I could see the way it thought Josh, which was like one of my biggest takeaways 109 00:06:22,230 --> 00:06:27,970 Ejaaz: was it kind of gave me comfort being able to watch it do its own thing. 110 00:06:28,190 --> 00:06:32,390 Ejaaz: So it took about 10 minutes in this entire process. And by the end of it, 111 00:06:32,510 --> 00:06:35,470 Ejaaz: I had a pretty good idea of which bouquet I wanted. 112 00:06:35,650 --> 00:06:39,410 Ejaaz: And it just needed me to fill out some wallet details and off I went. 113 00:06:39,610 --> 00:06:43,250 Ejaaz: So my initial take was, you've just saved me a lot of time. You did that in 114 00:06:43,250 --> 00:06:47,650 Ejaaz: 10 minutes where I could have just technically looked away from the screen and 115 00:06:47,650 --> 00:06:49,750 Ejaaz: got on with my own thing, right? And then come back to it. 116 00:06:50,530 --> 00:06:53,490 Ejaaz: The other takeaway that I have, and I'm going to take the other side of this, 117 00:06:53,630 --> 00:06:56,830 Ejaaz: right? Is it still required me to do things, Josh. 118 00:06:57,410 --> 00:07:01,830 Ejaaz: It didn't know me entirely. And maybe I'm being too hard on the AI, 119 00:07:02,090 --> 00:07:05,810 Ejaaz: but ideally I want an AI agent that just kind of like knows what I want and 120 00:07:05,810 --> 00:07:07,150 Ejaaz: gets it done for me, right? 121 00:07:07,270 --> 00:07:09,710 Ejaaz: And like has access to my wallet and pays for me. 122 00:07:09,950 --> 00:07:14,730 Ejaaz: We're not quite there yet, but this is a noticeable step change from what we had before. 123 00:07:15,270 --> 00:07:18,090 Josh: Okay, so good, not great. It'll get you most of the way there, 124 00:07:18,230 --> 00:07:20,430 Josh: but it won't quite finish the entire thing. 125 00:07:20,570 --> 00:07:23,730 Josh: And it was interesting hearing the process because during the stream, 126 00:07:23,870 --> 00:07:28,330 Josh: I was listening to how it works. And you described the combination between operator 127 00:07:28,330 --> 00:07:30,030 Josh: and deep research, how they're complimentary. 128 00:07:30,330 --> 00:07:34,650 Josh: I kind of want to unpack that a little bit because operator was the browser-based 129 00:07:34,650 --> 00:07:36,430 Josh: feature. can control a browser. 130 00:07:36,610 --> 00:07:39,210 Josh: So now you have this tool that can control a browser, but it can't really read 131 00:07:39,210 --> 00:07:42,150 Josh: long articles. It's not good at reading long articles. It doesn't have a lot of context. 132 00:07:42,450 --> 00:07:46,590 Josh: It's not that good at things that deep research was good at. 133 00:07:47,130 --> 00:07:49,650 Josh: Deep research is good at reading huge amounts of information, 134 00:07:49,830 --> 00:07:53,610 Josh: compressing it down, coming up with links, and feeding that information back to the browser. 135 00:07:53,810 --> 00:07:57,890 Josh: So we have this very complementary thing where deep research can't interact 136 00:07:57,890 --> 00:08:00,030 Josh: with visual web pages, but it can understand a lot of context. 137 00:08:00,370 --> 00:08:04,830 Josh: An operator can interact with visuals, but it doesn't have the ability to read a lot. 138 00:08:04,970 --> 00:08:07,990 Josh: And that creates this complementary tool set that we're seeing on screen right 139 00:08:07,990 --> 00:08:10,970 Josh: now, which is basically what OpenAd calls the agent. 140 00:08:11,170 --> 00:08:14,290 Josh: It's given a tool set. So the agent spins up a virtual machine. 141 00:08:14,410 --> 00:08:17,950 Josh: So you can imagine when you prompt in a query, it created this virtual computer 142 00:08:17,950 --> 00:08:21,210 Josh: that started talking through how to get the bouquet of flowers. 143 00:08:21,390 --> 00:08:24,610 Josh: It has a text-based browser tool, it has an image-based browser tool, 144 00:08:24,770 --> 00:08:29,210 Josh: and there's access to its own terminal to create complementary things. 145 00:08:29,370 --> 00:08:32,690 Josh: So let's say you were for example doing a spreadsheet and you wanted to see 146 00:08:32,690 --> 00:08:36,910 Josh: what the costs of all the bouquet of flowers are throughout the neighborhood. 147 00:08:37,070 --> 00:08:39,870 Josh: It can actually do that because it has all these complementary tool sets. 148 00:08:39,990 --> 00:08:41,330 Josh: So while I can do all of this, 149 00:08:41,900 --> 00:08:47,320 Josh: Well, it's not completely finished, like you said, you still have to kind of nudge it through. 150 00:08:47,580 --> 00:08:52,220 Josh: So an example that they used in the live stream was trying to get a wedding outfit for a wedding. 151 00:08:52,420 --> 00:08:59,160 Josh: And it'll get you kind of close, but then it doesn't quite know the sizing. 152 00:08:59,360 --> 00:09:01,660 Josh: It doesn't quite know your style preferences. 153 00:09:02,480 --> 00:09:05,420 Josh: And there's more context that it needs 154 00:09:05,420 --> 00:09:06,900 Ejaaz: To complete this. It's lacking a bit of context, right? Yeah, exactly. 155 00:09:07,000 --> 00:09:09,480 Josh: Yes, it's lacking the context and it's lacking the ability to click pay. 156 00:09:09,480 --> 00:09:12,680 Josh: So we're seeing here in the example, it's stuck on the pay screen because it 157 00:09:12,680 --> 00:09:16,020 Josh: doesn't have your credit card information and they just don't have that capability stored yet. 158 00:09:16,500 --> 00:09:20,040 Josh: So I would imagine this is probably just, I mean, this is version one. 159 00:09:20,180 --> 00:09:22,840 Josh: It will get better. It will have the context. It will get your credit card info. 160 00:09:23,300 --> 00:09:27,180 Josh: One of the things I loved, and you described this briefly, is when it loads 161 00:09:27,180 --> 00:09:29,600 Josh: up this browser window, you can actually replay it. 162 00:09:29,720 --> 00:09:32,500 Josh: So Ejaz, you were at your browser for 10 minutes kind of watching it do its thing. 163 00:09:32,500 --> 00:09:35,580 Josh: But in the case that you stepped away and you left you could 164 00:09:35,580 --> 00:09:38,620 Josh: come back and you could actually re-watch all the steps that 165 00:09:38,620 --> 00:09:42,380 Josh: it took as if you were watching a youtube video which is something that i really 166 00:09:42,380 --> 00:09:46,120 Josh: liked a lot about this i think of all the things that i liked the most it was 167 00:09:46,120 --> 00:09:49,860 Josh: the interface it was very pretty it was very easy to understand and it's really 168 00:09:49,860 --> 00:09:52,540 Josh: funny the example they they were able to just kind of pan through like it was 169 00:09:52,540 --> 00:09:55,860 Josh: a youtube video see where it made the searches see what it was looking for walk 170 00:09:55,860 --> 00:09:58,480 Josh: through that step process to see how exactly it arrived at the answer. 171 00:09:58,740 --> 00:10:02,720 Josh: And that was pretty neat. So, I mean, I haven't gotten a chance to try yet. 172 00:10:02,820 --> 00:10:04,420 Josh: My account still does not have enabled. 173 00:10:04,680 --> 00:10:08,420 Josh: Please give it to me. But based on your experience, it seems like it's good, not great. 174 00:10:08,660 --> 00:10:11,240 Josh: And I think that's a step in the right direction because we went from pretty 175 00:10:11,240 --> 00:10:14,620 Josh: mediocre to good. And that's a big jump in the right direction. Yeah. 176 00:10:14,700 --> 00:10:17,840 Ejaaz: So let me unpack my thoughts a little more for you, Josh. Basically, 177 00:10:17,840 --> 00:10:22,480 Ejaaz: I think it's good for people that have high agency. 178 00:10:22,480 --> 00:10:29,380 Ejaaz: And what I mean by that is people who know what exactly they need to get done and, you know, 179 00:10:29,680 --> 00:10:34,280 Ejaaz: maybe what they need to get done requires general access to a browser or and 180 00:10:34,280 --> 00:10:38,760 Ejaaz: a few different tools will get a ton of value out of this agent product. 181 00:10:39,000 --> 00:10:42,760 Ejaaz: I'm not saying it's useless. It's definitely way more useful than any other 182 00:10:42,760 --> 00:10:44,300 Ejaaz: agent that's been released before. 183 00:10:45,490 --> 00:10:50,050 Ejaaz: For the general public, who is so used to, I feel like at this point, 184 00:10:50,210 --> 00:10:52,850 Ejaaz: Josh, magic when it comes to the internet. 185 00:10:53,050 --> 00:10:54,630 Ejaaz: It's like, you know, when you open up an app and you're like, 186 00:10:55,010 --> 00:10:59,470 Ejaaz: whoa, like snaps of photos that disappear after six seconds. 187 00:10:59,630 --> 00:11:02,110 Ejaaz: That's so novel, right? Back in the day when Snapchat was created. 188 00:11:02,410 --> 00:11:06,110 Ejaaz: You know, they want like that kind of like easy to understand kind of like basic 189 00:11:06,110 --> 00:11:09,110 Ejaaz: level thinking. I don't need to think too much. It just wows me. 190 00:11:09,370 --> 00:11:14,070 Ejaaz: We're not there yet with agents. But I have a feeling that when you combine 191 00:11:14,070 --> 00:11:19,810 Ejaaz: agent with deep research as they did today, but with the context of memory, 192 00:11:20,110 --> 00:11:22,270 Ejaaz: which as you and I have spoken about many times, 193 00:11:22,790 --> 00:11:25,870 Ejaaz: and that OpenAI has the kind of like forefront leadership on, 194 00:11:26,030 --> 00:11:29,510 Ejaaz: when you combine all those three things together, then you're going to see that 195 00:11:29,510 --> 00:11:33,490 Ejaaz: magical experience where all you have to do, well, maybe you don't even have to prompt it, Josh. 196 00:11:33,490 --> 00:11:36,050 Ejaaz: Maybe you just kind of open your screen and the agent is like, 197 00:11:36,570 --> 00:11:38,650 Ejaaz: hey, I kind of ordered your coffee for you already. 198 00:11:38,870 --> 00:11:44,010 Ejaaz: It's actually outside the Korea. I've been tracking him is arriving and I've 199 00:11:44,010 --> 00:11:46,310 Ejaaz: like ordered your Tesla robo taxi to arrive. 200 00:11:46,470 --> 00:11:50,870 Ejaaz: So, you know, you'll be ready to go and leave at 730 a.m. or whatever it is to go to the office. 201 00:11:51,330 --> 00:11:53,230 Ejaaz: That's when people are going to start being like. 202 00:11:53,860 --> 00:11:58,360 Ejaaz: I will pay hundreds of dollars for this thing. And I won't even think twice. 203 00:11:58,980 --> 00:12:02,140 Josh: Yes. So we have great examples of people using this so far. 204 00:12:02,260 --> 00:12:05,300 Josh: I see you have one pulled up right here. I want you to walk me through how you 205 00:12:05,300 --> 00:12:06,660 Josh: can actually use this thing. Because 206 00:12:06,660 --> 00:12:09,400 Josh: a lot of these things are kind of constrained by your own creativity. 207 00:12:09,560 --> 00:12:13,080 Josh: I do a lot of stuff, but I'm not quite sure what I'm able to optimize for. 208 00:12:13,180 --> 00:12:15,060 Josh: So what are some people using this to optimize for currently? 209 00:12:15,240 --> 00:12:21,780 Ejaaz: So in this example, this person is using it to shop, which isn't exactly something that I can relate to. 210 00:12:21,880 --> 00:12:25,320 Ejaaz: I don't do a lot of online shopping, but i have a girlfriend who does 211 00:12:25,320 --> 00:12:28,100 Ejaaz: and i know that there are many different occasions that she 212 00:12:28,100 --> 00:12:31,020 Ejaaz: needs to kind of cater and figure out what to buy for and there's so 213 00:12:31,020 --> 00:12:35,380 Ejaaz: many sites that she needs to browse so in this example over here um you can 214 00:12:35,380 --> 00:12:39,120 Ejaaz: see like you know she puts in this problem we pause it she goes find a beige 215 00:12:39,120 --> 00:12:44,580 Ejaaz: trench coat for under 500 any website is fine must be under 500 including shipping 216 00:12:44,580 --> 00:12:49,580 Ejaaz: must have a belt and double-breasted buttons optional to have a hood but must be detachable, 217 00:12:49,980 --> 00:12:54,280 Ejaaz: basically all these different specificities that she needs for this comic, right? 218 00:12:54,760 --> 00:12:57,480 Ejaaz: And kind of reading this kind of gives me a little anxiety because I'm like, 219 00:12:57,580 --> 00:13:02,060 Ejaaz: oh my god, like I do not have the energy to search for something like this myself. 220 00:13:02,260 --> 00:13:05,100 Ejaaz: And you see the agent responding being like, understood, I'll start searching 221 00:13:05,100 --> 00:13:08,380 Ejaaz: for the beige coat under 500 bucks, and off we go, right? 222 00:13:08,820 --> 00:13:12,280 Ejaaz: So that's happening. It's doing its own desktop thing. And we see it kind of 223 00:13:12,280 --> 00:13:13,540 Ejaaz: unfolding. It's going through Amazon. 224 00:13:14,080 --> 00:13:16,240 Ejaaz: It's kind of like going through a bunch of different options, 225 00:13:16,520 --> 00:13:19,540 Ejaaz: looking at different colors, making sure it fits all the different criteria. 226 00:13:20,340 --> 00:13:25,360 Ejaaz: And in the meantime, she's timing up another prompt and she's running up another prompt. 227 00:13:25,500 --> 00:13:29,940 Ejaaz: So she's basically running like a bunch of different prompts for like her own chat GPT discussions. 228 00:13:30,320 --> 00:13:34,280 Ejaaz: And what she's demonstrating here is she can go back and forth between windows, Josh. 229 00:13:34,700 --> 00:13:40,100 Ejaaz: And she can like basically multiply her time and effort over a ton of different 230 00:13:40,100 --> 00:13:42,960 Ejaaz: tasks while she has this agent doing it for her in the background. 231 00:13:42,960 --> 00:13:45,680 Ejaaz: And if we get to the end of it... 232 00:13:46,740 --> 00:13:49,820 Ejaaz: As we see over here, we see that it's pulled up a bunch of options. 233 00:13:49,960 --> 00:13:53,400 Ejaaz: I think it's primarily used Amazon as its main kind of retailer. 234 00:13:53,820 --> 00:13:59,280 Ejaaz: And then she ends up kind of like making a decision around what kind of coat that she wants to buy. 235 00:13:59,400 --> 00:14:03,520 Ejaaz: So I thought that was like a really generally accessible or publicly accessible 236 00:14:03,520 --> 00:14:05,380 Ejaaz: example that anyone can get into. 237 00:14:05,680 --> 00:14:09,040 Ejaaz: I thought this was pretty fun. So this is something that like really relates 238 00:14:09,040 --> 00:14:10,980 Ejaaz: to me, right? I'm like getting old. 239 00:14:11,120 --> 00:14:14,180 Ejaaz: I'm like, okay, I need to, okay, I'm not that old. But like I'm starting to 240 00:14:14,180 --> 00:14:18,000 Ejaaz: think about major financial decisions, right? I'm like, can I afford a house 241 00:14:18,000 --> 00:14:20,760 Ejaaz: or am I going to be eternally renting for the rest of my life? Stuff like that. 242 00:14:20,900 --> 00:14:24,280 Ejaaz: So I'm like, okay, what do I do with my finances? I don't even know the first 243 00:14:24,280 --> 00:14:26,400 Ejaaz: place to consider or look into. 244 00:14:27,280 --> 00:14:33,960 Ejaaz: And this demo basically says that it took 20 minutes for this agent to run a 245 00:14:33,960 --> 00:14:39,200 Ejaaz: task to figure out what a healthy retirement plan might look like or financial 246 00:14:39,200 --> 00:14:43,300 Ejaaz: plan might look like for this particular user that is demonstrating this example. 247 00:14:43,300 --> 00:14:46,820 Ejaaz: And what I found really interesting here, and I'm highlighting it on this tweet, 248 00:14:47,340 --> 00:14:53,280 Ejaaz: is within 20 minutes, it found local tax laws in Vancouver, which is where this guy must be based. 249 00:14:53,460 --> 00:15:00,020 Ejaaz: It analyzed average monthly spend rates. It calculated savings needed to retire at 30 years old. 250 00:15:00,140 --> 00:15:04,980 Ejaaz: It researched optimal investment allocations. It found taxed optimized strategies. 251 00:15:04,980 --> 00:15:07,460 Ejaaz: It built multiple retirement scenarios. 252 00:15:08,050 --> 00:15:10,890 Ejaaz: And then it created a downloadable presentation with all the results, Josh. 253 00:15:11,390 --> 00:15:16,550 Ejaaz: This would have cost me $5,000 from a financial advisor and taken weeks. 254 00:15:16,730 --> 00:15:21,530 Ejaaz: But here I have ChatGPT doing this all for whatever, $50, $100 subscription. 255 00:15:21,870 --> 00:15:24,850 Ejaaz: And I'm going to bring up the video here where we basically see it kind of go 256 00:15:24,850 --> 00:15:28,230 Ejaaz: through its thought process and then create a final finished deck, 257 00:15:28,390 --> 00:15:29,810 Ejaaz: which you see on your screens right now. 258 00:15:29,910 --> 00:15:32,550 Ejaaz: It looks pretty rudimentary, doesn't it, Josh? Let's be honest. 259 00:15:32,730 --> 00:15:35,810 Josh: It looks kind of like a... I wouldn't give it a passing grade in terms of style, 260 00:15:35,810 --> 00:15:38,630 Josh: but perhaps in terms of the actual content. Very impressive. 261 00:15:39,510 --> 00:15:40,910 Ejaaz: Very impressive. Very impressive. 262 00:15:41,090 --> 00:15:43,570 Josh: And this third example that we have is pretty funny because just before we started 263 00:15:43,570 --> 00:15:46,090 Josh: recording, EJs and I were going through what we were going to order for lunch. 264 00:15:46,150 --> 00:15:47,670 Josh: And it was this kind of intensive process. 265 00:15:47,830 --> 00:15:50,070 Josh: We were reading off the menu items and choosing what we liked. 266 00:15:50,070 --> 00:15:52,830 Josh: And it took a few minutes. And this one is a little bit different. 267 00:15:53,010 --> 00:15:56,570 Josh: This one, the prompt was to order a roast dinner, which I think is very fitting 268 00:15:56,570 --> 00:15:59,310 Josh: for you to describe EJs because I'm not quite sure what a roast dinner is. 269 00:15:59,390 --> 00:16:00,290 Josh: This seems like a British thing. 270 00:16:00,510 --> 00:16:05,510 Ejaaz: It's a Sunday meal, Josh, where the family comes together. It's either roast 271 00:16:05,510 --> 00:16:10,990 Ejaaz: chicken, roast lamb or roast beef and it is a lengthy process all right and 272 00:16:10,990 --> 00:16:13,110 Ejaaz: trust me i've watched my mom do it a million times. 273 00:16:13,110 --> 00:16:15,870 Josh: Well according to this example it does not have to 274 00:16:15,870 --> 00:16:18,650 Josh: be as lengthy as you imagine it used to be 275 00:16:18,650 --> 00:16:21,450 Josh: what i'm seeing this agent do is it's actually it's going through 276 00:16:21,450 --> 00:16:24,430 Josh: a grocery list it's choosing the chicken it's scheduling a delivery time 277 00:16:24,430 --> 00:16:27,610 Josh: and it's giving you the the prompts in which you would 278 00:16:27,610 --> 00:16:30,690 Josh: need to just finish filling it out so it's like hey what are the login details what 279 00:16:30,690 --> 00:16:33,410 Josh: are the credit card information what time do you want delivered but it's doing 280 00:16:33,410 --> 00:16:36,370 Josh: everything and it's amazing you're watching it click the browser it is going 281 00:16:36,370 --> 00:16:40,210 Josh: through the thinking it is selecting all the things that you want really impressive 282 00:16:40,210 --> 00:16:44,570 Josh: stuff so in this case like that solves you your your roast dinner problem where 283 00:16:44,570 --> 00:16:48,170 Josh: you don't have to worry about it anymore you set this up once it knows your 284 00:16:48,170 --> 00:16:50,890 Josh: preferences and then you just type in the prompt when you're ready to go and 285 00:16:50,890 --> 00:16:51,710 Josh: it will place another order 286 00:16:52,360 --> 00:16:56,520 Ejaaz: You know what's really impressive about this, Josh? I've been on this website, 287 00:16:56,760 --> 00:16:59,980 Ejaaz: this exact website before actually, Tesco, when I was a university kid. 288 00:17:00,100 --> 00:17:04,080 Ejaaz: And I remember doing bulk orders because I had like no money back then. 289 00:17:04,200 --> 00:17:09,220 Ejaaz: So I was like, any kind of like bundle deal, I'll order in bulk and then like 290 00:17:09,220 --> 00:17:10,680 Ejaaz: store it in the freezer or whatever. 291 00:17:11,120 --> 00:17:15,940 Ejaaz: There are so many products. It's like going to Costco or whatever. 292 00:17:16,160 --> 00:17:19,520 Ejaaz: It's Costco here, right? Where it's like a bulk ordering thing. and 293 00:17:19,520 --> 00:17:22,240 Ejaaz: you know you just spend millions of hours just staring in 294 00:17:22,240 --> 00:17:25,140 Ejaaz: the eyes being like i don't know what i need do i need this many toilet 295 00:17:25,140 --> 00:17:28,300 Ejaaz: roll i have no idea this just like abstracts all 296 00:17:28,300 --> 00:17:32,540 Ejaaz: of that away from you and i just know that there are a ton of people where this 297 00:17:32,540 --> 00:17:36,980 Ejaaz: would be kind of like super useful for right the other thing was that kind of 298 00:17:36,980 --> 00:17:41,380 Ejaaz: like popped into my mind is like how relevant does this make like supermarket 299 00:17:41,380 --> 00:17:45,580 Ejaaz: websites these days right or just like general retailers in general Like, 300 00:17:46,040 --> 00:17:52,180 Ejaaz: do the Amazons and Tescos, in this example, of the world need to now try and 301 00:17:52,180 --> 00:17:56,240 Ejaaz: cater to these agents, Josh? Like, how are you thinking about that? 302 00:17:56,380 --> 00:17:59,220 Josh: Yeah, I think the answer is yes. I think directionally the answer is yes for 303 00:17:59,220 --> 00:18:01,660 Josh: things much further than just grocery stores. 304 00:18:01,960 --> 00:18:03,340 Josh: Where if you're building a 305 00:18:03,340 --> 00:18:07,640 Josh: website, you kind of want a version of your website to be readable by AIs. 306 00:18:07,840 --> 00:18:10,720 Josh: A lot of websites are visually complex. They have a lot of visual. 307 00:18:10,720 --> 00:18:13,780 Josh: Well, they're meant to be aesthetically pleasing, but they're not meant to serve 308 00:18:13,780 --> 00:18:15,540 Josh: data in the most optimized way. 309 00:18:15,660 --> 00:18:18,660 Josh: So what I've been seeing with a lot of developers they've started doing is they've 310 00:18:18,660 --> 00:18:22,700 Josh: actually created a .md file, which is a markdown file that just has the raw 311 00:18:22,700 --> 00:18:24,100 Josh: text data of the website. 312 00:18:24,320 --> 00:18:26,660 Josh: No way. So when an agent is scraping... 313 00:18:26,930 --> 00:18:31,390 Josh: No images at all, just the raw text data. Because when an AI is scraping a website, 314 00:18:31,590 --> 00:18:33,070 Josh: all it wants is the tokens. 315 00:18:33,310 --> 00:18:35,790 Josh: It doesn't care for the visuals. It can't see in most cases. 316 00:18:36,210 --> 00:18:40,970 Josh: So the most optimal way of serving these models is just by allowing the robot 317 00:18:40,970 --> 00:18:43,350 Josh: to come and read your website as it wants to. 318 00:18:43,550 --> 00:18:46,590 Josh: And I think a similar thing is probably going to happen with delivery, 319 00:18:46,750 --> 00:18:51,650 Josh: with groceries, with everything is just kind of creating a dual experience, this split experience. 320 00:18:51,830 --> 00:18:54,630 Josh: There's an experience you build for the human, and then there's an experience 321 00:18:54,630 --> 00:18:56,250 Josh: you build for the AI model. 322 00:18:56,250 --> 00:18:59,130 Josh: And the ai model is going to be really boring and plain it's 323 00:18:59,130 --> 00:19:01,990 Josh: just going to be a massive block of text that has 324 00:19:01,990 --> 00:19:05,150 Josh: no spacing no prompts it's just text but 325 00:19:05,150 --> 00:19:09,170 Josh: that's really all the ai model wants it ingests the tokens it sorts them and 326 00:19:09,170 --> 00:19:12,450 Josh: it pops new ones out and i think this is probably a trend we're going to be 327 00:19:12,450 --> 00:19:16,770 Josh: seeing with a lot of things is is the user interface the visual element of it 328 00:19:16,770 --> 00:19:20,370 Josh: is going to matter less and less and i can't talk about this without thinking 329 00:19:20,370 --> 00:19:22,090 Josh: about an episode that we're going to be filming soon, 330 00:19:22,230 --> 00:19:27,750 Josh: which is about browsers and AI browsers in general, and how we kind of interact with these things. 331 00:19:27,930 --> 00:19:33,270 Josh: Because it's becoming more and more clear that the future of engaging with the 332 00:19:33,270 --> 00:19:37,530 Josh: internet will be requesting something from it and expecting to be delivered 333 00:19:37,530 --> 00:19:41,010 Josh: that thing without needing to search and go through all the tedious efforts 334 00:19:41,010 --> 00:19:43,490 Josh: of actively going to the website, 335 00:19:43,790 --> 00:19:46,910 Josh: searching through the million different SKUs that they have on Tesco, choosing what you want. 336 00:19:46,990 --> 00:19:50,070 Josh: You could just say, hey, I have this grocery list or hey, I want to make this 337 00:19:50,070 --> 00:19:54,030 Josh: for dinner. just go find the stuff for me and just make sure it shows about my doorstep by 6 p.m. 338 00:19:54,390 --> 00:19:57,790 Josh: And that is a really cool trend that I think we are starting to see and we're 339 00:19:57,790 --> 00:19:59,730 Josh: going to see more as more tools like this get rolled out. 340 00:20:00,400 --> 00:20:06,080 Ejaaz: I can't help but think that this is going to completely disrupt the advertising industry, Josh. 341 00:20:06,440 --> 00:20:10,220 Ejaaz: Isn't that like the main way that all these internet companies make all their money? 342 00:20:10,580 --> 00:20:16,700 Ejaaz: YouTube, Google on search ad revenue, Meta on advertising on all their news 343 00:20:16,700 --> 00:20:19,000 Ejaaz: feeds and all that kind of stuff. It's advertisers, right? 344 00:20:19,320 --> 00:20:26,200 Ejaaz: And now I'm trying to think, how do you prove that your advert has made an impression 345 00:20:26,200 --> 00:20:30,160 Ejaaz: on an artificial intelligent agent, right? 346 00:20:31,080 --> 00:20:35,640 Ejaaz: To your point, you go from making flashy ads, which were designed for human 347 00:20:35,640 --> 00:20:42,600 Ejaaz: eyes to see and walk at, to agents that are just reading a bunch of .md text 348 00:20:42,600 --> 00:20:44,360 Ejaaz: files, as you put it, right? 349 00:20:44,840 --> 00:20:47,820 Ejaaz: Which is kind of like insane to think about. 350 00:20:48,280 --> 00:20:53,880 Ejaaz: The other thing that I'm thinking about is I think services are going to look 351 00:20:53,880 --> 00:20:55,820 Ejaaz: very different now, Josh, right? 352 00:20:56,020 --> 00:21:00,100 Ejaaz: It's going to become less human-like. So we're going to, you know, 353 00:21:00,240 --> 00:21:03,200 Ejaaz: we're not naturally going to go on websites. 354 00:21:03,600 --> 00:21:07,500 Ejaaz: And I kind of have a comment on your browser, a topic that you mentioned. 355 00:21:07,740 --> 00:21:10,640 Ejaaz: I kind of think of it as like an intermediary step, right? 356 00:21:10,940 --> 00:21:15,480 Ejaaz: Almost like it's kind of like trying to bridge the gap between humans and AI. 357 00:21:15,660 --> 00:21:17,880 Ejaaz: Oh, we're used to browsers, scrolling browsers. 358 00:21:18,180 --> 00:21:20,880 Ejaaz: So, you know, let's add a few AI features to these browsers. 359 00:21:21,020 --> 00:21:22,440 Ejaaz: And I'm really excited to do that episode. 360 00:21:22,580 --> 00:21:24,080 Ejaaz: But then ultimately, we're going to 361 00:21:24,080 --> 00:21:28,540 Ejaaz: end up in this world where it's just advertisers trying to pitch agents. 362 00:21:28,540 --> 00:21:33,340 Ejaaz: Your maybe your own personal agent to sell something to you and i wonder whether 363 00:21:33,340 --> 00:21:37,260 Ejaaz: it skews incentives in different ways right maybe you can pay the agent shill 364 00:21:37,260 --> 00:21:40,640 Ejaaz: a certain product to the individual i wonder how all of that ends up mapping 365 00:21:40,640 --> 00:21:42,260 Ejaaz: out it's a weird thing to think. 366 00:21:42,260 --> 00:21:45,740 Josh: About i would actually love to have a specialist on advertising on the show 367 00:21:45,740 --> 00:21:49,620 Josh: to talk about this that just knows more about it than we do because the model 368 00:21:49,620 --> 00:21:52,680 Josh: is already starting to break we've seen it a lot with ad blockers now being 369 00:21:52,680 --> 00:21:58,380 Josh: built into browsers a lot of companies are kind of optimizing out of displaying ads, so 370 00:21:58,850 --> 00:22:02,530 Josh: On YouTube, a lot of people will just pay for their premium service to not even have to deal with it. 371 00:22:02,770 --> 00:22:05,870 Josh: So there's this trend towards avoiding ads. 372 00:22:06,090 --> 00:22:09,950 Josh: Now that these agents are browsing the website, do they insert the ads into 373 00:22:09,950 --> 00:22:13,350 Josh: the markdown files of the website and hope that they get served? 374 00:22:13,510 --> 00:22:16,770 Josh: Is the agent going to be able to filter out from there? Because that's this 375 00:22:16,770 --> 00:22:17,970 Josh: thing called injection poisoning, right? 376 00:22:18,030 --> 00:22:21,850 Josh: Where you kind of inject these things into the words that it's reading to give it commands. 377 00:22:22,250 --> 00:22:25,630 Josh: And that was actually part of the presentation that OpenAI had was about the 378 00:22:25,630 --> 00:22:28,590 Josh: security and defensiveness of these agents. 379 00:22:28,770 --> 00:22:31,830 Josh: Because when you have an agent that is equipped with your credit card information, 380 00:22:32,050 --> 00:22:35,570 Josh: all of your personal information, everything about you, and it has read and 381 00:22:35,570 --> 00:22:37,130 Josh: write ability on the open internet, 382 00:22:37,410 --> 00:22:41,490 Josh: well, you kind of want to make sure the agent is not giving this stuff up and 383 00:22:41,490 --> 00:22:46,250 Josh: telling a malicious actor what your address is, what your credit card information 384 00:22:46,250 --> 00:22:47,570 Josh: is, what all your preferences are. 385 00:22:47,810 --> 00:22:51,070 Josh: So there's the second side of this conversation, which 386 00:22:51,070 --> 00:22:53,870 Josh: is the security of allowing an agent to go 387 00:22:53,870 --> 00:22:57,010 Josh: out into the wild with your entire profile in its 388 00:22:57,010 --> 00:23:00,050 Josh: brain in the hopes that some malicious actor 389 00:23:00,050 --> 00:23:05,190 Josh: can't can't prompt inject and create this malicious intention that serves up 390 00:23:05,190 --> 00:23:09,070 Josh: the information to a website that they're just that's not real there's there's 391 00:23:09,070 --> 00:23:13,550 Josh: this whole defensible side of this argument to be had also it seems like they're 392 00:23:13,550 --> 00:23:19,050 Josh: doing a lot of work to prevent this but i guess we'll see as time goes on how it actually plays out 393 00:23:19,760 --> 00:23:24,300 Ejaaz: Okay, so, so far we've spoken about retail consumption of these agents, 394 00:23:24,520 --> 00:23:26,520 Ejaaz: Josh. We've spoken about the security. 395 00:23:26,860 --> 00:23:32,800 Ejaaz: One thing that we haven't covered is kind of like the workforce and the enterprise world, right? 396 00:23:33,320 --> 00:23:37,560 Ejaaz: Presumably, right, if you can connect an agent to, you know, 397 00:23:37,740 --> 00:23:42,460 Ejaaz: very neatly use your Google Drive, your Slack, your LinkedIn, 398 00:23:43,080 --> 00:23:48,800 Ejaaz: your Salesforce CRM, what are you doing from nine to five every day, right? 399 00:23:49,740 --> 00:23:53,880 Ejaaz: I pulled up this demo here, Josh. I don't know if you can see it. 400 00:23:54,220 --> 00:24:00,000 Ejaaz: But it's this demo that shows someone using the GPT agent to basically make 401 00:24:00,000 --> 00:24:04,080 Ejaaz: personalized invite connections to a bunch of different people on LinkedIn. 402 00:24:04,780 --> 00:24:08,160 Ejaaz: And so it kind of sets the scenario with the prompt saying, like, 403 00:24:08,240 --> 00:24:11,800 Ejaaz: hey, I want you to basically reach out to individuals that have this kind of 404 00:24:11,800 --> 00:24:15,400 Ejaaz: a background, that have held this kind of role, that has this many years of 405 00:24:15,400 --> 00:24:18,300 Ejaaz: experience, and I want you to pitch them on A, B, and C, right? 406 00:24:18,300 --> 00:24:22,600 Ejaaz: And like throughout the demo, it kind of like goes through, personalizes each 407 00:24:22,600 --> 00:24:24,640 Ejaaz: request to each individual person. 408 00:24:24,820 --> 00:24:29,180 Ejaaz: And the first thought that I had in this, Josh, was if you're on the sales team 409 00:24:29,180 --> 00:24:32,620 Ejaaz: of some company, your job just got automated, dude. 410 00:24:32,820 --> 00:24:37,000 Ejaaz: Because a lot of the time you spend, if you're a recruitment person, 411 00:24:37,460 --> 00:24:41,460 Ejaaz: work for a recruitment firm and you're headhunting someone, 90% of their time 412 00:24:41,460 --> 00:24:45,180 Ejaaz: is spent on LinkedIn. I get a ton of these requests day in, day out, right? 413 00:24:45,800 --> 00:24:49,640 Ejaaz: And so I'm thinking, well, now your job can be completely automated and it could 414 00:24:49,640 --> 00:24:50,600 Ejaaz: probably do a much better job 415 00:24:50,600 --> 00:24:56,700 Ejaaz: and reach thousands of people that you reach over months within an hour, 416 00:24:56,960 --> 00:25:01,260 Ejaaz: within 20 minutes, within however long this video is, which is two minutes and 417 00:25:01,260 --> 00:25:04,060 Ejaaz: 36 seconds. So I think that we're going to start to. 418 00:25:04,060 --> 00:25:04,480 Josh: See a lot of 419 00:25:04,480 --> 00:25:09,920 Ejaaz: These agents in work environments. I don't know if we're going to have as much insight into that. 420 00:25:10,060 --> 00:25:13,160 Ejaaz: It's going to be at the discretion of all these different companies as to what 421 00:25:13,160 --> 00:25:17,240 Ejaaz: they want to reveal to us. But that's something that we should keep our eyes on, Josh. 422 00:25:17,400 --> 00:25:19,740 Ejaaz: And, you know, I would love to get someone on the show, 423 00:25:20,540 --> 00:25:24,400 Ejaaz: knows about how it's transforming their own company right at a massive scale. 424 00:25:24,400 --> 00:25:27,100 Josh: Yeah it's the so there's there's two elements of 425 00:25:27,100 --> 00:25:29,820 Josh: this agent right it's like the personal unlock that we talked about at the top of the show 426 00:25:29,820 --> 00:25:34,060 Josh: where now it's this super assistant that you have to take care of all of your 427 00:25:34,060 --> 00:25:37,360 Josh: yes irons that you don't want to run all the things that are annoying and then 428 00:25:37,360 --> 00:25:40,580 Josh: you have the professional version of it where it can go and it can make sales 429 00:25:40,580 --> 00:25:43,700 Josh: funnels and sales calls and it could do a lot of the professional things it 430 00:25:43,700 --> 00:25:47,920 Josh: can query data it can create nice spreadsheets it can create google slide presentations 431 00:25:47,920 --> 00:25:49,360 Josh: and granted they don't look that pretty, 432 00:25:49,580 --> 00:25:53,000 Josh: but I mean, directionally, they're heading there and they will eventually get there. 433 00:25:53,080 --> 00:25:57,160 Josh: So it's this new trend that is really exciting because it's now here and it's 434 00:25:57,160 --> 00:26:00,540 Josh: accessible for $20 a month and you can actually go and try it and you could 435 00:26:00,540 --> 00:26:01,680 Josh: push those limitations, see 436 00:26:01,680 --> 00:26:05,400 Josh: where the outer bounds lie and see how it can mostly optimize your life. 437 00:26:05,700 --> 00:26:08,720 Josh: And then as we go, it'll just unlock more and more and more. 438 00:26:08,820 --> 00:26:09,960 Josh: It'll start taking down your credit card. 439 00:26:10,100 --> 00:26:14,100 Josh: It'll take down your whole preference stack and just become this supercharged agent. 440 00:26:14,280 --> 00:26:19,600 Josh: So I think that is OpenAI's agent feature. It's live. It is out right now. 441 00:26:19,840 --> 00:26:22,420 Josh: I'm hoping my account gets it soon because I really want to use it. 442 00:26:23,220 --> 00:26:27,160 Ejaaz: Yeah, dude. You know what? I am officially more optimistic than I was at the 443 00:26:27,160 --> 00:26:28,740 Ejaaz: start of this episode about this thing. 444 00:26:29,060 --> 00:26:33,100 Ejaaz: I think you've successfully, or rather we're both successfully convinced me, 445 00:26:33,960 --> 00:26:36,880 Ejaaz: that this is going to become a much larger thing. 446 00:26:37,360 --> 00:26:40,660 Ejaaz: And I'm just looking at the end of this demo here, Josh, like this screenshot 447 00:26:40,660 --> 00:26:42,740 Ejaaz: of like, you know, this virtual browser. 448 00:26:43,400 --> 00:26:46,980 Ejaaz: Even though it's so rudimentary and basic, I kind of get it. 449 00:26:47,400 --> 00:26:51,660 Ejaaz: Do you know what I mean? it's like running a simulation on my screen and like 450 00:26:51,660 --> 00:26:56,860 Ejaaz: having it like just set and forget on the top left of my screen and just letting it do its thing. 451 00:26:57,000 --> 00:26:59,660 Ejaaz: Or like if I'm doing work and I want to watch a stream of something, 452 00:26:59,700 --> 00:27:02,760 Ejaaz: I can have like a YouTube video like there on the corner of my screen. 453 00:27:02,900 --> 00:27:08,040 Ejaaz: It's kind of similar to that. So even just me saying that, it's behaviorally getting to me. 454 00:27:08,260 --> 00:27:11,280 Ejaaz: I'm understanding it subconsciously and I'm like, yeah, you know what? 455 00:27:11,580 --> 00:27:14,140 Ejaaz: This is going to be fun. So I'm bullish is what I'm saying. 456 00:27:14,660 --> 00:27:18,140 Josh: Great. I am bullish too. My hot take before we leave, I'm just going to mic 457 00:27:18,140 --> 00:27:21,140 Josh: drop this is I think the agent is much more impressive and much more important 458 00:27:21,140 --> 00:27:22,220 Josh: than the AI powered browser. 459 00:27:22,580 --> 00:27:25,580 Josh: I think the browsers are kind of dumb. The agent hops right over the browser. 460 00:27:25,860 --> 00:27:28,580 Ejaaz: That's probably where this goes. Dude, that was going to be you. 461 00:27:28,660 --> 00:27:30,520 Ejaaz: That's going to be my take on the future episode. 462 00:27:30,740 --> 00:27:33,060 Josh: I was going to show it. We're going to stop before we spoil it. 463 00:27:33,140 --> 00:27:35,400 Josh: The browser episode is coming soon. As soon as we get access to Comet, 464 00:27:35,580 --> 00:27:36,940 Josh: we want to use Comet from Complexity. 465 00:27:37,100 --> 00:27:40,320 Josh: We're working on getting access to it. Once we do, we will have a fully comprehensive 466 00:27:40,320 --> 00:27:41,700 Josh: episode covering AI browsers. 467 00:27:41,920 --> 00:27:44,420 Josh: But for now, that was OpenAI's agent feature. 468 00:27:44,760 --> 00:27:47,660 Josh: I would encourage you if you have a plus plan, which is the $20 a month plan. 469 00:27:47,860 --> 00:27:50,840 Josh: Go check it out. Give it a try. See where it can automate parts of your life. 470 00:27:50,960 --> 00:27:53,800 Josh: See where it improves it. See where it detracts from it. I don't know. 471 00:27:54,140 --> 00:27:56,700 Josh: I'd love to hear feedback. I'm sure both Ejaz and I would love to hear more 472 00:27:56,700 --> 00:27:57,900 Josh: examples of how you're using it. 473 00:27:57,980 --> 00:28:01,300 Josh: Because at the end of the day, the only real constraint on this is the creativity 474 00:28:01,300 --> 00:28:03,780 Josh: that you use when you're using it. So I hope you enjoyed it. 475 00:28:03,980 --> 00:28:06,900 Josh: That has been another episode. We will be back again soon talking about more 476 00:28:06,900 --> 00:28:08,760 Josh: AI news in the future. I'll talk to you guys soon. 477 00:28:08,880 --> 00:28:18,040 Music: Music