1 00:00:00,020 --> 00:00:04,280 Josh: So over the last month, basically everyone in the world of AI has either experimented 2 00:00:04,280 --> 00:00:07,000 Josh: with OpenClaw or is actively running an OpenClaw instance. 3 00:00:07,020 --> 00:00:12,180 Josh: It's this AI agentic framework that allows an agent to go off and do all the things that you want. 4 00:00:12,300 --> 00:00:15,100 Josh: It could do the work for you, it can buy your groceries for you, 5 00:00:15,180 --> 00:00:19,660 Josh: it can book you tickets and flights to go on vacations, it can do seemingly everything. 6 00:00:19,840 --> 00:00:24,100 Josh: But on the backside of that is a lot of complexity and a lot of risk in terms 7 00:00:24,100 --> 00:00:27,600 Josh: of security that I'm not sure a lot of people are really taking into account. 8 00:00:27,820 --> 00:00:31,320 Josh: What's happened since then is that a lot of other companies have gotten involved. 9 00:00:31,520 --> 00:00:34,720 Josh: They've wanted to take the market share away from OpenClaw, which is this open 10 00:00:34,720 --> 00:00:35,700 Josh: source Wild West version. 11 00:00:35,820 --> 00:00:41,140 Josh: And just this week, NVIDIA and Jensen Chuang seem to have the alternative figured out. 12 00:00:41,240 --> 00:00:44,080 Josh: This is coming from an unlikely suspect. We have Clawed, we have OpenAI. 13 00:00:44,400 --> 00:00:47,820 Josh: Both of those are clearly working on OpenClaw competitors. We're seeing features shipped every week. 14 00:00:47,960 --> 00:00:52,360 Josh: But to see Jensen get in the ring and announce something called NemoClaw, 15 00:00:52,600 --> 00:00:56,220 Josh: which is the new open source alternative, it seems like there's going to be 16 00:00:56,220 --> 00:00:59,400 Josh: a new player in town, and maybe even more with perplexity too. 17 00:00:59,520 --> 00:01:02,200 Josh: Like a lot is going on in this open-claw world. So if you are an open-claw user, 18 00:01:02,500 --> 00:01:03,920 Josh: you're gonna wanna tune in for this one. 19 00:01:04,020 --> 00:01:07,140 Ejaaz: This is a really underrated moment for Nvidia, in my opinion. 20 00:01:07,640 --> 00:01:12,820 Ejaaz: It is their Apple moment. Now Apple is our geniuses in two things, 21 00:01:13,080 --> 00:01:16,920 Ejaaz: both the hardware and the software for all cellular phones. 22 00:01:17,120 --> 00:01:20,020 Ejaaz: They own the app layer and they nail the hardware layer, right, 23 00:01:20,100 --> 00:01:21,120 Ejaaz: best phones in the industry. 24 00:01:21,620 --> 00:01:27,560 Ejaaz: NVIDIA is now making its foray into consumer hardware or consumer software, rather, right? 25 00:01:27,760 --> 00:01:31,240 Ejaaz: So they announced this week that they're going to invest $26 billion over the 26 00:01:31,240 --> 00:01:34,800 Ejaaz: next five years into open source agents. 27 00:01:35,160 --> 00:01:40,980 Ejaaz: And NemoClaw, which is their OpenClaw competitor, is going to be one of their major steps in this. 28 00:01:41,200 --> 00:01:46,160 Ejaaz: So what NemoClaw is, is, as the name suggests, a direct competitor to OpenClaw. 29 00:01:46,360 --> 00:01:49,960 Ejaaz: It's going to be an agentic platform where you are able to design, 30 00:01:50,180 --> 00:01:53,480 Ejaaz: create, and spin up AI agents and have them interact with each other. 31 00:01:53,840 --> 00:01:57,080 Ejaaz: Now, this hasn't been officially announced yet. We're breaking the news right now. 32 00:01:57,240 --> 00:02:01,760 Ejaaz: But rumors state that these agents will be able to do very similar things to OpenClaw. 33 00:02:01,920 --> 00:02:05,500 Ejaaz: So you'll be able to get them to do your nine to five job potentially, 34 00:02:05,500 --> 00:02:07,800 Ejaaz: or you're going to get them to be able to do the shopping for you, 35 00:02:07,900 --> 00:02:08,740 Ejaaz: like you mentioned earlier. 36 00:02:08,940 --> 00:02:14,060 Ejaaz: But with one or two different twists, number one, it's going to be way more secure. 37 00:02:14,220 --> 00:02:19,460 Ejaaz: Now, the number one bit of feedback around OpenClaw is that there's huge amounts 38 00:02:19,460 --> 00:02:22,480 Ejaaz: of security exposures. people have lost money, personal data, 39 00:02:22,640 --> 00:02:24,140 Ejaaz: credit card information has been exposed. 40 00:02:24,420 --> 00:02:29,300 Ejaaz: You won't get any of that with Nemo Call. Number two, the user experience is going to be way better. 41 00:02:29,540 --> 00:02:34,200 Ejaaz: And Jensen Huang has reportedly stated that he's designing this first and foremost 42 00:02:34,200 --> 00:02:39,020 Ejaaz: for enterprises, so businesses that want to take their kind of work seriously, 43 00:02:39,020 --> 00:02:41,420 Ejaaz: but also to the consumer layer as well. 44 00:02:41,540 --> 00:02:46,700 Ejaaz: And the number one signal that he's demonstrated doing that is making the entire thing open source. 45 00:02:46,880 --> 00:02:51,860 Ejaaz: The instant thing that I thought of, Josh, is NVIDIA produces the GPUs to power 46 00:02:51,860 --> 00:02:54,340 Ejaaz: the AI models who power AI agents. 47 00:02:54,660 --> 00:02:58,920 Ejaaz: And now Jensen is creating the AI agents, which is going to lead to more demand 48 00:02:58,920 --> 00:03:01,060 Ejaaz: for GPUs. So NVIDIA just keeps on winning. 49 00:03:01,200 --> 00:03:04,960 Ejaaz: $5 trillion, probably $10 trillion, $15 trillion if this actually hits. 50 00:03:05,220 --> 00:03:08,300 Josh: Everyone's making their way up and down this AI layer cake, which starts in 51 00:03:08,300 --> 00:03:09,920 Josh: chips and goes all the way up to the application layer. 52 00:03:10,200 --> 00:03:12,700 Josh: A lot of people have started the application layer or the model layer. 53 00:03:12,920 --> 00:03:15,560 Josh: NVIDIA is one of the rare ones that started at the bottom and is working its 54 00:03:15,560 --> 00:03:17,180 Josh: way up. I mean, we have the 55 00:03:17,640 --> 00:03:21,200 Josh: what is it the gtx spark nvidia is like small household 56 00:03:21,200 --> 00:03:24,420 Josh: thing desktop computer sits on your desk and i assume 57 00:03:24,420 --> 00:03:27,420 Josh: we'll be getting a lot of updates at their gtc conference on monday 58 00:03:27,420 --> 00:03:31,260 Josh: so this hasn't been confirmed this will be confirmed on monday i strongly suspect 59 00:03:31,260 --> 00:03:34,880 Josh: it will be called nemo claw they will have their own version of an open source 60 00:03:34,880 --> 00:03:40,040 Josh: open claw instance and this is a seemingly pretty opportune time because a lot 61 00:03:40,040 --> 00:03:44,240 Josh: of people have been having issues that we have reported with open claw when 62 00:03:44,240 --> 00:03:46,660 Josh: you run open claw it's the wild west you're building these systems, 63 00:03:46,880 --> 00:03:48,520 Josh: you're putting things in place, you're building your own checks, 64 00:03:48,720 --> 00:03:51,700 Josh: but you're ultimately responsible for managing and orchestrating this huge 65 00:03:52,280 --> 00:03:56,300 Josh: AI network that begins to grow over time. And Matthew Berman here, 66 00:03:56,420 --> 00:03:57,800 Josh: he has another great podcast in the AI space. 67 00:03:57,960 --> 00:04:01,260 Josh: He was talking about how his OpenClaw had a similar issue. 68 00:04:01,300 --> 00:04:04,860 Josh: And I've seen this a lot around the internet where the OpenClaws get into a 69 00:04:04,860 --> 00:04:10,620 Josh: bad state and you start to use it and it starts to get worse in terms of output. 70 00:04:10,700 --> 00:04:12,300 Josh: And then it just totally breaks. 71 00:04:12,540 --> 00:04:16,260 Josh: And then he followed this up with anyone else having their tokens, keys, secrets, 72 00:04:16,540 --> 00:04:19,640 Josh: reappearing in plain text after moving them to keychain open claw 73 00:04:19,640 --> 00:04:22,420 Josh: really wants keys in plain text so he's been having these 74 00:04:22,420 --> 00:04:25,280 Josh: issues there's another one where the open claw outputs were 75 00:04:25,280 --> 00:04:28,040 Josh: causing these like duplicate mentions so open claw 76 00:04:28,040 --> 00:04:31,860 Josh: has been good for some great for others and incredibly challenging for most 77 00:04:31,860 --> 00:04:35,220 Josh: because a lot of this requires upkeep i'm hoping that what we're going to see 78 00:04:35,220 --> 00:04:40,120 Josh: is this trend of more rails around this open claw we had it with um nvidia hopefully 79 00:04:40,120 --> 00:04:43,160 Josh: this week we're going to see claude's been working on this and also perplexity 80 00:04:43,160 --> 00:04:45,460 Josh: had something fairly interesting right yeah 81 00:04:45,460 --> 00:04:50,000 Ejaaz: Yeah they announced personal computer, which is basically their version of OpenClaw. 82 00:04:50,100 --> 00:04:52,460 Ejaaz: Now, Perplexity doesn't actually have their own AI model. 83 00:04:52,600 --> 00:04:57,300 Ejaaz: They use a bunch of the leading frontier models from the likes of Claude and 84 00:04:57,300 --> 00:05:01,280 Ejaaz: ChatGPT, but they package it into what they're calling the personal computer, 85 00:05:01,540 --> 00:05:06,460 Ejaaz: which can toggle your desktop for you, move your mouse around and perform a bunch of actions. 86 00:05:06,680 --> 00:05:10,060 Ejaaz: You can spin up a bunch of agents in parallel and they can go off and do different 87 00:05:10,060 --> 00:05:12,240 Ejaaz: things. They can code for you, do your shopping, whatever that might be. 88 00:05:12,520 --> 00:05:16,560 Ejaaz: Again, an OpenClaw direct competitor. Now, the silver lining across all of this 89 00:05:16,560 --> 00:05:21,020 Ejaaz: news is that there's a huge amount of demand for these AI agents. 90 00:05:21,140 --> 00:05:28,760 Ejaaz: In fact, people are paying $6,000 to have someone come to their place or office 91 00:05:28,760 --> 00:05:32,680 Ejaaz: or work in person and set up OpenClaw from scratch. 92 00:05:32,940 --> 00:05:36,520 Ejaaz: Now, bear in mind, this is something that you can ask Claw to literally guide you through. 93 00:05:36,720 --> 00:05:39,980 Ejaaz: And instead, people are paying $6,000. Now, the perks that you get for this 94 00:05:39,980 --> 00:05:45,080 Ejaaz: is that you are getting an unofficial but official guarantee that there's not 95 00:05:45,080 --> 00:05:46,760 Ejaaz: going to be any kind of security exploits. 96 00:05:46,840 --> 00:05:49,640 Ejaaz: And you can have someone just manage the entire thing whilst you can focus on 97 00:05:49,640 --> 00:05:51,820 Ejaaz: the core business. But to go back to my earlier point. 98 00:05:52,180 --> 00:05:56,460 Ejaaz: The silver lining is there is insatiable amounts of demand for AI agents. 99 00:05:56,760 --> 00:06:00,680 Ejaaz: And two, they're actually becoming quite useful. And the likes of OpenAI saw 100 00:06:00,680 --> 00:06:04,240 Ejaaz: that when they decided to acquire the official OpenClaw open source project. 101 00:06:04,740 --> 00:06:07,320 Ejaaz: And NVIDIA is now seeing it as well, Perplexity is seeing it as well. 102 00:06:07,400 --> 00:06:09,180 Ejaaz: So it's kind of like this whole surge. 103 00:06:09,240 --> 00:06:13,000 Ejaaz: I think even China this week was trending because they were hosting community 104 00:06:13,000 --> 00:06:17,020 Ejaaz: meetups with 50 to 75-year-olds that were all spinning up OpenClaws. 105 00:06:17,160 --> 00:06:20,560 Ejaaz: God knows what they are using OpenClaws for, but there's an insatiable amount 106 00:06:20,560 --> 00:06:23,260 Ejaaz: of appetite for this right now. And it's exciting to see where this goes. 107 00:06:23,520 --> 00:06:28,140 Josh: Feels like a cult-like following. It's unbelievable how many people use it, love it, adore it. 108 00:06:28,200 --> 00:06:30,660 Josh: The community events that are spawning up around it. It's become this cultural 109 00:06:30,660 --> 00:06:32,180 Josh: movement that's global now. 110 00:06:32,340 --> 00:06:36,320 Josh: It's totally around the world. So 2026 is undeniably the year of agents, 111 00:06:36,320 --> 00:06:37,940 Josh: which I think is really exciting. 112 00:06:38,120 --> 00:06:40,860 Josh: And on the topic of agents, we have some news on... 113 00:06:41,350 --> 00:06:44,430 Josh: Elon musk's xai's tesla collab 114 00:06:44,430 --> 00:06:47,450 Josh: project around agents and this 115 00:06:47,450 --> 00:06:50,370 Josh: is an update on macro hard now macro hard for those not familiar is 116 00:06:50,370 --> 00:06:53,890 Josh: the inverse of microsoft and it is xai's 117 00:06:53,890 --> 00:06:59,110 Josh: plan to replace software companies through the use of these large language models 118 00:06:59,110 --> 00:07:03,430 Josh: basically the idea is that microsoft office it's a series of software that creates 119 00:07:03,430 --> 00:07:08,410 Josh: an output that you interact with and if you clearly define your outputs that 120 00:07:08,410 --> 00:07:11,350 Josh: you want if you clearly define the outcomes that you're looking for in the software, 121 00:07:11,730 --> 00:07:15,210 Josh: then Grok and the XAI team can go off and they can build your own custom software 122 00:07:15,210 --> 00:07:17,270 Josh: for yourself, for your enterprise, for your company. 123 00:07:17,510 --> 00:07:21,090 Josh: This update is pretty cool. This describes a two-step approach, right? 124 00:07:21,270 --> 00:07:25,410 Ejaaz: Yeah, so he's launching something incredibly ambitious called Digital Optimus. 125 00:07:25,590 --> 00:07:32,590 Ejaaz: Now, Optimus is known well globally as the physical manifestation of Tesla's robots. 126 00:07:32,770 --> 00:07:35,730 Ejaaz: It's a humanoid robot that's hopefully going to be releasing later this year. 127 00:07:35,730 --> 00:07:37,490 Ejaaz: We don't know, it's an Elon guesstimate there. 128 00:07:38,090 --> 00:07:41,910 Ejaaz: Digital Optimus is going to be the digital version of that robot. 129 00:07:42,070 --> 00:07:43,350 Ejaaz: So what the hell does that mean? 130 00:07:43,690 --> 00:07:49,070 Ejaaz: Well, if you imagine the current market for humans doing computer-based tasks 131 00:07:49,070 --> 00:07:54,210 Ejaaz: is estimated to be around $30 to $40 trillion worth of the global economy. It's a huge amount. 132 00:07:54,370 --> 00:07:58,970 Ejaaz: Think about people that use Slack or send messages or need to use a computer 133 00:07:58,970 --> 00:08:01,590 Ejaaz: for their day-to-day job. That's computer-based tasks. 134 00:08:01,910 --> 00:08:06,710 Ejaaz: Now, Digital Optimus is aiming to replace or automate a bunch of those tasks. 135 00:08:06,850 --> 00:08:10,470 Ejaaz: So if you imagine when you're talking to someone on the other end of Slack, right? 136 00:08:10,860 --> 00:08:13,860 Ejaaz: How do you know that that's actually a human being? You assume it, 137 00:08:14,000 --> 00:08:15,640 Ejaaz: right? But it doesn't necessarily have to be. 138 00:08:15,960 --> 00:08:20,100 Ejaaz: Digital optimist is basically going to be the arms and limbs to Grok, 139 00:08:20,240 --> 00:08:22,840 Ejaaz: the AI brain. It's going to be able to move your mouse around. 140 00:08:23,020 --> 00:08:25,840 Ejaaz: It's going to be able to intuitively know which file to select. 141 00:08:26,080 --> 00:08:28,960 Ejaaz: It's going to be able to read things, browse the internet just like you can. 142 00:08:29,180 --> 00:08:32,320 Ejaaz: But it's going to be a digital human that lives on a computer. 143 00:08:32,680 --> 00:08:37,120 Ejaaz: Now, this is a pretty ambitious but also vague kind of goal that needs to be 144 00:08:37,120 --> 00:08:41,180 Ejaaz: done now. It's basically similar to a human emulation or emulator. 145 00:08:41,420 --> 00:08:43,540 Ejaaz: I don't really know how this is going to manifest. 146 00:08:43,820 --> 00:08:46,540 Ejaaz: Some of the products that we just spoke about just now, Perplexity Computer, 147 00:08:46,860 --> 00:08:48,880 Ejaaz: kind of sound like the foundations of this. 148 00:08:49,000 --> 00:08:52,460 Ejaaz: But again, we haven't seen a release from XAI for a while now. 149 00:08:52,600 --> 00:08:57,160 Ejaaz: So I'm curious to see how Grok upgrades first before we see a product like this come out. 150 00:08:57,510 --> 00:09:01,070 Josh: Yeah, well, the idea is that it's going to read, understand your inputs, 151 00:09:01,170 --> 00:09:03,850 Josh: outputs, and then be able to emulate your job better than you can. 152 00:09:04,070 --> 00:09:07,230 Josh: And it uses this interesting architecture, which has been around for a while 153 00:09:07,230 --> 00:09:08,590 Josh: as it relates to how humans think. 154 00:09:08,750 --> 00:09:12,570 Josh: If anyone's read the book Thinking Fast or Slow, there's like the two components, 155 00:09:12,730 --> 00:09:13,670 Josh: the two brain architecture. 156 00:09:13,890 --> 00:09:17,650 Josh: One is your fast system, which is system one. One is the slow, which is system two. 157 00:09:17,650 --> 00:09:20,370 Josh: So in this collaboration between tesla and xai this is 158 00:09:20,370 --> 00:09:23,790 Josh: the first time they're actually working together on a formal instance tesla becomes 159 00:09:23,790 --> 00:09:26,610 Josh: that system one which is the reflexes it's constantly watching 160 00:09:26,610 --> 00:09:29,670 Josh: the screen for five seconds at a time and it's executing those 161 00:09:29,670 --> 00:09:32,450 Josh: actions in real time and then grok is that system too it's the 162 00:09:32,450 --> 00:09:35,630 Josh: big brain that understands has a real clear concept 163 00:09:35,630 --> 00:09:38,610 Josh: of the world around it and it applies this like high level 164 00:09:38,610 --> 00:09:41,530 Josh: knowledge and reasoning to the task at hand 165 00:09:41,530 --> 00:09:44,330 Josh: and what's interesting that i don't think we mentioned yet 166 00:09:44,330 --> 00:09:47,830 Josh: is the cost of what this takes to run um tesla 167 00:09:47,830 --> 00:09:50,710 Josh: claims that they're able to run this on their ai4 chip 168 00:09:50,710 --> 00:09:53,550 Josh: which is 650 so that 169 00:09:53,550 --> 00:09:56,350 Josh: is a very cheap chip for inference relative to what other data 170 00:09:56,350 --> 00:10:00,990 Josh: centers are using with blackwell and 30 000 gpus so the cost to actually run 171 00:10:00,990 --> 00:10:05,050 Josh: this software is going to be very low and these ai4 chips are chips that currently 172 00:10:05,050 --> 00:10:09,330 Josh: exist they're out there in vehicles in the millions so they have the scale to 173 00:10:09,330 --> 00:10:12,610 Josh: produce these they have seemingly the software and now they have the collaboration 174 00:10:12,610 --> 00:10:14,790 Josh: between Tesla and XAI, I have to wonder, 175 00:10:15,010 --> 00:10:17,290 Josh: is this going to translate to another... 176 00:10:19,100 --> 00:10:22,360 Josh: Between Tesla and XAI and SpaceX. It's like, is this the thing that's going 177 00:10:22,360 --> 00:10:24,280 Josh: to bring them together or will they continue to exist separately? 178 00:10:24,440 --> 00:10:27,000 Josh: I don't know, but really cool updates coming out of the Elon corner. 179 00:10:27,320 --> 00:10:32,680 Josh: I hope we see more from Grok and XAI soon. They have been moving slow in terms 180 00:10:32,680 --> 00:10:35,780 Josh: of what they've been releasing, but it seems like they're moving pretty quick behind the scenes. 181 00:10:35,960 --> 00:10:39,760 Ejaaz: I think they're going to merge. And also the running through line between this 182 00:10:39,760 --> 00:10:43,320 Ejaaz: story and the NVIDIA story is like both companies are trying to be Apple at 183 00:10:43,320 --> 00:10:45,060 Ejaaz: this point. They're having their Apple moments, right? 184 00:10:45,240 --> 00:10:48,980 Ejaaz: Software and hardware stack being combined, vertical integration. in general. 185 00:10:49,280 --> 00:10:49,940 Josh: That's it. That's the name of the game. 186 00:10:50,120 --> 00:10:54,100 Ejaaz: It's really being pushed. But listen, let's move away from the software digital 187 00:10:54,100 --> 00:10:56,760 Ejaaz: robots. Those aren't as cool as the real ones. 188 00:10:57,240 --> 00:11:02,120 Ejaaz: Brett Adcock, CEO and founder of Figure, which is a leading US robotics startup, 189 00:11:02,600 --> 00:11:09,080 Ejaaz: released this cool demo, a useful demo rather, of their Helix 2 robot cleaning 190 00:11:09,080 --> 00:11:11,480 Ejaaz: a living room fully autonomously. 191 00:11:11,820 --> 00:11:16,340 Ejaaz: Now, listen, I'm not going to be the biggest advocate of having creepy looking 192 00:11:16,340 --> 00:11:19,620 Ejaaz: robots moving around. Maybe if we slapped a few clothes on this thing, 193 00:11:19,760 --> 00:11:20,940 Ejaaz: I'd be more amenable to it. 194 00:11:21,140 --> 00:11:26,960 Ejaaz: But we saw a demo of this robot, I think about a month ago, unloading and reloading 195 00:11:26,960 --> 00:11:29,000 Ejaaz: a dishwasher, handling glassware. 196 00:11:29,160 --> 00:11:31,540 Ejaaz: So the point is, these robots are becoming very precise. 197 00:11:32,060 --> 00:11:37,020 Ejaaz: They're not just these kind of clunky metallic objects that are just doing a bunch of random stuff. 198 00:11:37,240 --> 00:11:40,660 Ejaaz: It's going to be actually useful to you. Now, whether consumers are actually 199 00:11:40,660 --> 00:11:45,400 Ejaaz: going to be kind of positive towards spending $30,000 to $40,000 or whatever 200 00:11:45,400 --> 00:11:47,780 Ejaaz: the price tag of these things are, it's definitely going to be quite expensive 201 00:11:47,780 --> 00:11:49,080 Ejaaz: and putting them in their home. 202 00:11:49,200 --> 00:11:51,780 Ejaaz: I don't think we're quite there yet as this demo kind of insinuates, 203 00:11:51,920 --> 00:11:55,980 Ejaaz: but I'm curious to see what these things are going to be like in actual manual factories. 204 00:11:56,020 --> 00:11:59,000 Ejaaz: I think that's where they're going to be more proliferant. 205 00:11:59,530 --> 00:12:02,470 Josh: Yeah the novel breakthrough here is that this was fully autonomous 206 00:12:02,470 --> 00:12:05,490 Josh: a lot of these tasks that they have they've kind of pre-trained it 207 00:12:05,490 --> 00:12:08,130 Josh: for a specific task so it's doing the dishes and it's 208 00:12:08,130 --> 00:12:11,170 Josh: trained on doing the dishes uh this is a fully autonomous system 209 00:12:11,170 --> 00:12:14,190 Josh: the robot is going around without any commands without any specific training 210 00:12:14,190 --> 00:12:17,010 Josh: and it's just doing the maintenance on the room which 211 00:12:17,010 --> 00:12:19,770 Josh: i think is pretty cool it's a fun use case it seems 212 00:12:19,770 --> 00:12:22,750 Josh: useful elon has been dunking on everyone recently saying 213 00:12:22,750 --> 00:12:26,070 Josh: optimus 3 is going to be far superior even than this um 214 00:12:26,070 --> 00:12:29,030 Josh: so i'm looking forward to seeing that and i was actually looking 215 00:12:29,030 --> 00:12:32,130 Josh: before recording when we can expect to 216 00:12:32,130 --> 00:12:34,710 Josh: get our hands on optimus because helix has been doing a lot 217 00:12:34,710 --> 00:12:37,430 Josh: of these demos they haven't started shipping them quite yet and it seems 218 00:12:37,430 --> 00:12:40,430 Josh: like tesla is not really going to be front running 219 00:12:40,430 --> 00:12:43,190 Josh: them by any means perhaps in terms of technicality but in 220 00:12:43,190 --> 00:12:45,950 Josh: terms of when they're going to release according to the polymarket it looks 221 00:12:45,950 --> 00:12:48,790 Josh: like there's a very slim chance they're going to release this year at all 222 00:12:48,790 --> 00:12:51,670 Josh: um so 18 chance it releases 223 00:12:51,670 --> 00:12:54,630 Josh: by december 31st five percent chance it 224 00:12:54,630 --> 00:12:57,450 Josh: releases by june 30th so we're probably 225 00:12:57,450 --> 00:13:00,570 Josh: not going to be getting these available anywhere anytime soon 226 00:13:00,570 --> 00:13:05,030 Josh: but that's not to say we're not going to see the new version of optimus fairly 227 00:13:05,030 --> 00:13:09,630 Josh: soon it seems like they're teasing it for a mid-year announcement so at least 228 00:13:09,630 --> 00:13:12,450 Josh: have an idea of what it's going to look like we'll get a demo that's figure-esque 229 00:13:12,450 --> 00:13:15,870 Josh: um but yeah it seems according to polymarket we will not be getting this and 230 00:13:15,870 --> 00:13:18,510 Josh: thank you very much polymarket for sponsoring the segment of the episode now 231 00:13:18,510 --> 00:13:23,790 Ejaaz: Moving on to probably what is the craziest story of the week um our friends 232 00:13:23,790 --> 00:13:28,090 Ejaaz: at meta who uh are definitely not leading the AI race right now, 233 00:13:28,150 --> 00:13:30,670 Ejaaz: they haven't released a model in almost a year at this point, 234 00:13:30,870 --> 00:13:33,350 Ejaaz: made one of the wilder acquisitions. 235 00:13:33,470 --> 00:13:37,890 Ejaaz: And that's saying something because they spent $15 billion to acquire one guy last year. 236 00:13:38,070 --> 00:13:43,850 Ejaaz: They acquired Maltbook, which is the viral AI agent social media platform, 237 00:13:43,850 --> 00:13:50,390 Ejaaz: which is rumored to have around 1.6 million AI agents all autonomously posting, talking to each other. 238 00:13:50,590 --> 00:13:53,790 Ejaaz: And the stick behind this entire platform is 239 00:13:54,090 --> 00:13:59,150 Ejaaz: you need to be an AI agent to basically post and interact on there. No humans allowed. 240 00:13:59,370 --> 00:14:03,170 Ejaaz: And it went viral around the time that OpenClaw did, because if you're spinning 241 00:14:03,170 --> 00:14:06,570 Ejaaz: up these agents, how do you get them to really benefit society? 242 00:14:06,770 --> 00:14:08,790 Ejaaz: Well, get them to talk to each other, get them to share skills, 243 00:14:08,910 --> 00:14:11,890 Ejaaz: get them to interact with each other, get them to transact with each other. 244 00:14:12,130 --> 00:14:16,730 Ejaaz: And all of that was happening on Maltbook. So this acquisition, in theory, makes sense. 245 00:14:16,830 --> 00:14:21,110 Ejaaz: You've got the biggest social media company acquiring the biggest AI agent media 246 00:14:21,110 --> 00:14:25,370 Ejaaz: company, social media company, except I don't think this makes sense in my head 247 00:14:25,370 --> 00:14:28,810 Ejaaz: because a lot of these agents I think are spoofed. 248 00:14:29,190 --> 00:14:33,410 Ejaaz: Humans found a way to spin up multiple agents and get them to do certain things, 249 00:14:33,530 --> 00:14:35,010 Ejaaz: which meant that they weren't really autonomous. 250 00:14:35,310 --> 00:14:38,870 Ejaaz: Also, I heard that this platform was vibe coded in about a week. 251 00:14:39,170 --> 00:14:43,810 Ejaaz: So this kind of adds to my perception of meta, which is they are just wildly 252 00:14:43,810 --> 00:14:45,910 Ejaaz: out of touch and they don't really know what they're doing. 253 00:14:46,090 --> 00:14:52,310 Ejaaz: Now, if I were to put my smart glasses on and try and envision what they're thinking about here. 254 00:14:52,510 --> 00:14:57,030 Ejaaz: I think that Zuck is making a really big bet on the future of social media, 255 00:14:57,030 --> 00:15:00,250 Ejaaz: not having many or if any humans involved. 256 00:15:00,370 --> 00:15:03,250 Ejaaz: I think he thinks it's all going to be AI personalities, AI content. 257 00:15:03,550 --> 00:15:06,690 Ejaaz: That's why he's delivering MetaVibes, their video reels app, 258 00:15:06,810 --> 00:15:07,590 Ejaaz: their TikTok competitor. 259 00:15:07,930 --> 00:15:11,350 Ejaaz: He thinks that people are only going to consume AI content. And so he wants 260 00:15:11,350 --> 00:15:14,790 Ejaaz: the producers of that to also be AIs, AI agents. 261 00:15:15,350 --> 00:15:18,410 Ejaaz: It sounds pretty dystopian to me. I don't really like that future, 262 00:15:18,610 --> 00:15:20,310 Ejaaz: but it seems to be the direction that we're heading. 263 00:15:20,530 --> 00:15:23,470 Josh: It doesn't make sense that they would spend money on like an old thing. 264 00:15:23,610 --> 00:15:25,570 Josh: We recorded the Moplook episode like a month ago. 265 00:15:25,770 --> 00:15:28,530 Josh: No one's talked about it since. No one used it. There's been a lot of instances 266 00:15:28,530 --> 00:15:32,270 Josh: where people have clearly created tens of thousands of fake agents on the site 267 00:15:32,270 --> 00:15:34,230 Josh: that aren't even real. I mean, yeah, this guy... 268 00:15:34,650 --> 00:15:40,770 Josh: Registered a million fake agents um that's crazy um it's just not really based 269 00:15:40,770 --> 00:15:44,950 Josh: on anything real it's not a hot topic it's not anything noteworthy or interesting 270 00:15:44,950 --> 00:15:49,350 Josh: the network effects are probably not real so i would love to ask zuck what he 271 00:15:49,350 --> 00:15:53,210 Josh: thinks the value proposition in that acquisition is yeah 272 00:15:53,210 --> 00:15:57,910 Ejaaz: Yeah and it's not like his investments have been doing very well um the guy 273 00:15:57,910 --> 00:16:01,670 Ejaaz: that i mentioned he spent 15 or 14 billion dollars to acquire alexander wang 274 00:16:01,670 --> 00:16:07,050 Ejaaz: is rumored to be you know in kind of treacherous territory with Meta right now. 275 00:16:07,170 --> 00:16:09,130 Ejaaz: They might be parting ways. They may not be agreeing on things. 276 00:16:09,250 --> 00:16:11,190 Ejaaz: I've seen kind of both sides of this story. 277 00:16:11,330 --> 00:16:14,630 Ejaaz: Some saying that it's all just kind of like fear-mongering, but it might be true. 278 00:16:14,850 --> 00:16:18,930 Ejaaz: So I don't know how well things are going for Meta right now. 279 00:16:19,130 --> 00:16:22,270 Josh: I have some context on this story in particular. Please. This is fake news. 280 00:16:22,510 --> 00:16:23,810 Josh: The post that we're showing, not true. 281 00:16:24,130 --> 00:16:28,030 Josh: And the reason I know that is because Zuck posted a picture with Alexander Wang, 282 00:16:29,090 --> 00:16:31,430 Josh: proving the fact that they're still on good terms and there's not an issue. 283 00:16:31,430 --> 00:16:34,310 Josh: The problem is that he only posted that photo on 284 00:16:34,310 --> 00:16:37,410 Josh: threads so i'm sure you never saw it because nobody 285 00:16:37,410 --> 00:16:40,250 Josh: actually uses threads so this was disproved but 286 00:16:40,250 --> 00:16:43,250 Josh: it was disproved on the meta platform well i 287 00:16:43,250 --> 00:16:46,210 Josh: was on instagram and i saw it via like the suggestion thing 288 00:16:46,210 --> 00:16:49,010 Josh: um because i don't use threads either but yeah this 289 00:16:49,010 --> 00:16:52,070 Josh: is totally fake news but it's just a testament again to how poor meta's 290 00:16:52,070 --> 00:16:54,990 Josh: been performing where zuck disproved this rumor 291 00:16:54,990 --> 00:16:58,770 Josh: but it hasn't quite made it out of the escape velocity because no one is using 292 00:16:58,770 --> 00:17:02,730 Josh: their products no one's on thread so i don't know i wish met all the best speaking 293 00:17:02,730 --> 00:17:08,290 Josh: of meta though one of the old really deeply entrenched people at meta jan lacun 294 00:17:08,290 --> 00:17:12,550 Josh: he departed from meta and now it seems like we finally know what he's working on next 295 00:17:12,980 --> 00:17:17,220 Ejaaz: Yeah, a former and also disgruntled Meta employee. 296 00:17:18,180 --> 00:17:23,460 Ejaaz: So he left. He was formerly the head of Meta Superintelligence or whatever the 297 00:17:23,460 --> 00:17:25,080 Ejaaz: AI intelligence lab was at the time. 298 00:17:25,500 --> 00:17:29,720 Ejaaz: Then Zuck acquired Alexander Wang and he was kind of ousted out. 299 00:17:29,820 --> 00:17:33,020 Ejaaz: Yan Le Koon was gone. And he's like one of the godfathers of AI, 300 00:17:33,180 --> 00:17:34,100 Ejaaz: although I hate to say it. 301 00:17:34,280 --> 00:17:39,620 Ejaaz: He's been a hater of LLMs and he's been calling the demise of LLMs for a while 302 00:17:39,620 --> 00:17:42,860 Ejaaz: now, even as LLMs have gotten much, much better and way more intelligent. 303 00:17:42,980 --> 00:17:45,320 Ejaaz: Empower all of our favorite AI products today. 304 00:17:45,920 --> 00:17:51,780 Ejaaz: And he's put his money where his mouth is. He launched Advanced Machine Intelligence, 305 00:17:51,860 --> 00:17:56,660 Ejaaz: or AMI Labs, which is focused on building a world model. 306 00:17:56,780 --> 00:18:01,400 Ejaaz: Now, world models are different from LLMs in the sense that they're more sensory. 307 00:18:01,620 --> 00:18:05,380 Ejaaz: They take in video inputs, image inputs, audio inputs. 308 00:18:05,540 --> 00:18:10,380 Ejaaz: And the idea is it's meant to understand the physical reality that humans engage with. 309 00:18:10,480 --> 00:18:13,620 Ejaaz: Now, LLMs, they only work on text and character. 310 00:18:13,820 --> 00:18:18,460 Ejaaz: So they kind of understand what the outside world looks like through descriptive 311 00:18:18,460 --> 00:18:21,640 Ejaaz: context, but they don't actually know. They can't actually see. 312 00:18:21,920 --> 00:18:26,940 Ejaaz: World models actually help AIC, and that's what he's going to be building at AMI Labs. 313 00:18:27,280 --> 00:18:32,000 Ejaaz: Now, in order to do this, he raised Europe's largest seed round, $1 billion. 314 00:18:32,800 --> 00:18:35,280 Ejaaz: It's not euros, $1 billion. It was less than euros. 315 00:18:36,240 --> 00:18:39,480 Ejaaz: But it's a strong signal that world models are going to be a huge thing. 316 00:18:39,800 --> 00:18:41,320 Ejaaz: He's not the only one that's saying that. 317 00:18:41,980 --> 00:18:46,600 Ejaaz: Demis Hassabis, the CEO of Google AI, has also said the same thing. 318 00:18:46,680 --> 00:18:47,900 Ejaaz: It's going to be a core focus of Google. 319 00:18:48,000 --> 00:18:52,020 Ejaaz: They released a banger of a model which we made an episode about called Genie 3. 320 00:18:52,260 --> 00:18:55,480 Ejaaz: What you're looking at on the screen here is completely AI generated. 321 00:18:55,840 --> 00:18:59,280 Ejaaz: You can walk around this cat that's on a vacuum right now. You can interact with the world. 322 00:18:59,460 --> 00:19:04,420 Ejaaz: It's super cool. feels like a game but it's actually simulated reality I wish 323 00:19:04,420 --> 00:19:07,040 Ejaaz: him the best of luck I don't know what his angle is going to be I don't know 324 00:19:07,040 --> 00:19:10,960 Ejaaz: how he can catch up to the labs that are spending tens of billions of dollars 325 00:19:10,960 --> 00:19:13,920 Ejaaz: hundreds of billions of dollars but it's a good start I guess. 326 00:19:14,390 --> 00:19:17,790 Josh: Yeah. And I mean, it's another testament to the fact that a lot of people are 327 00:19:17,790 --> 00:19:21,790 Josh: really interested in world models and understanding the physics and understanding multimodality. 328 00:19:21,910 --> 00:19:26,150 Josh: And the basis of these world models is that natively multimodal world where 329 00:19:26,150 --> 00:19:31,850 Josh: you're able to understand text, audio, imagery, videos, and then therefore represent 330 00:19:31,850 --> 00:19:35,390 Josh: physics and understand why certain things do the things that they do. 331 00:19:35,510 --> 00:19:38,470 Josh: And Google actually made some serious progress in this front this week with 332 00:19:38,470 --> 00:19:42,590 Josh: their new embedding to model, which is the first natively multimodal embedding 333 00:19:42,590 --> 00:19:46,890 Josh: model, which means maps, text, images, video, audio, and documents all into 334 00:19:46,890 --> 00:19:49,610 Josh: a single unified space in its native form. 335 00:19:49,770 --> 00:19:51,890 Josh: So this is different because previously you had to 336 00:19:52,250 --> 00:19:55,310 Josh: translate each one of these modalities into the other this 337 00:19:55,310 --> 00:19:58,270 Josh: one they all exist in the same plane which unlocks a lot of really interesting 338 00:19:58,270 --> 00:20:01,170 Josh: use cases i mean one of the ones that i like in particular 339 00:20:01,170 --> 00:20:04,290 Josh: i saw is that if you're training for sports or if you're training for anything 340 00:20:04,290 --> 00:20:08,410 Josh: physical if you're in the gym working out you point the camera at you and it 341 00:20:08,410 --> 00:20:12,390 Josh: understands the video so it can actually ingest the video understand what you're 342 00:20:12,390 --> 00:20:16,470 Josh: doing and then give you productive output or give you help to improve either 343 00:20:16,470 --> 00:20:20,430 Josh: your form or to improve your your weight lifting or whatever it is that you're doing. 344 00:20:20,570 --> 00:20:22,670 Josh: And there's a lot of other unique use cases, right, Ijaz, you were just telling 345 00:20:22,670 --> 00:20:23,450 Josh: me about a couple earlier. 346 00:20:23,930 --> 00:20:28,710 Ejaaz: Yeah, kind of sticking on the sports theme. Do you know when you're having a 347 00:20:28,710 --> 00:20:32,970 Ejaaz: conversation with a friend and you remember a moment in a video or like in a 348 00:20:32,970 --> 00:20:35,630 Ejaaz: movie and you're like, oh, yeah, what movie was that? 349 00:20:35,810 --> 00:20:39,250 Ejaaz: Or like, what scene was that? And maybe you need to scroll through a video to find the same thing. 350 00:20:39,530 --> 00:20:43,930 Ejaaz: You can now ask Google embedding, you know, hey, can you find me that sports 351 00:20:43,930 --> 00:20:45,930 Ejaaz: moment where Kobe shot this particular shot? 352 00:20:46,110 --> 00:20:50,650 Ejaaz: And it trolls through the entire YouTube blog or whatever, the MBA log, 353 00:20:50,790 --> 00:20:54,130 Ejaaz: and it finds that excerpt and can drag that clip to you. 354 00:20:54,430 --> 00:20:58,350 Ejaaz: And this is what technology like this or the new embedding model unlocks. 355 00:20:58,510 --> 00:21:03,210 Ejaaz: You now not only can query different types of media like images, 356 00:21:03,450 --> 00:21:08,030 Ejaaz: photos, whatever that might be, but it also understands what you're asking it for. 357 00:21:08,170 --> 00:21:11,730 Ejaaz: Previously, it would just be like, okay, he's kind of referencing a photo or 358 00:21:11,730 --> 00:21:13,570 Ejaaz: a video. I'm going to try and figure out which one that is. 359 00:21:13,810 --> 00:21:17,650 Ejaaz: Now it intuitively understands what you mean when you say, oh yeah, 360 00:21:17,830 --> 00:21:20,150 Ejaaz: it's during this time during the autumn. 361 00:21:20,510 --> 00:21:23,890 Ejaaz: Could you find this picture of my mom and I? And it'll be able to do that for you. 362 00:21:24,750 --> 00:21:29,130 Ejaaz: Secondly, it's also kind of cool. You can connect this model to say your photos. 363 00:21:29,290 --> 00:21:32,650 Ejaaz: And this is in theory, by the way, developers actually have to build this app 364 00:21:32,650 --> 00:21:33,530 Ejaaz: that I'm about to describe. 365 00:21:33,790 --> 00:21:36,170 Ejaaz: You can connect it to your photos or videos and you could say, 366 00:21:36,550 --> 00:21:39,350 Ejaaz: can you find the last time that I was like super motivated? 367 00:21:39,790 --> 00:21:43,790 Ejaaz: Show me a clip, show me a photo of when that was, and it'll be able to troll 368 00:21:43,790 --> 00:21:47,890 Ejaaz: through your entire library and understand and know when that is and pick it 369 00:21:47,890 --> 00:21:51,210 Ejaaz: out for you so i'm excited for the new apps that are going to be enabled by this model. 370 00:21:51,640 --> 00:21:55,180 Josh: Yeah, the context is great. It's like if you think of a universal library, 371 00:21:55,420 --> 00:21:56,400 Josh: traditionally it's just books. 372 00:21:56,540 --> 00:22:02,980 Josh: Well, now it's like books, photos, podcasts, videos, music, and it all is processed in the same way. 373 00:22:03,120 --> 00:22:07,340 Josh: So if you want to explain to me quantum computing, it will not only surface 374 00:22:07,340 --> 00:22:10,840 Josh: the books, but it'll also surface the videos and the custom essays and whatever 375 00:22:10,840 --> 00:22:12,260 Josh: it may be. It's an amazing model. 376 00:22:12,380 --> 00:22:15,000 Josh: I'm looking forward to the people who are building those apps. 377 00:22:15,520 --> 00:22:19,120 Josh: But we also have more news out of the Google front, right? The Google Maps biggest 378 00:22:19,120 --> 00:22:21,140 Josh: upgrade ever. And Google Maps is noteworthy because 379 00:22:21,570 --> 00:22:23,830 Josh: How many billions of people use Google Maps every day? 380 00:22:24,350 --> 00:22:26,410 Ejaaz: Two billion. Every month. Two billion every month. 381 00:22:26,570 --> 00:22:29,550 Josh: So now two billion people just got a pretty serious upgrade. Yeah. 382 00:22:29,990 --> 00:22:34,750 Ejaaz: Yeah. So it's called Ask Maps. It basically integrates Gemini, 383 00:22:34,990 --> 00:22:38,670 Ejaaz: so Google's AI model, into Google Maps, but in a really unique way. 384 00:22:38,930 --> 00:22:44,830 Ejaaz: So you can now ask it, hey, I want to play tennis tonight, but I need the court 385 00:22:44,830 --> 00:22:48,210 Ejaaz: to have lights and I want it to be kind of like on my way home. 386 00:22:48,790 --> 00:22:53,630 Ejaaz: Can you find me a few places? and it's able to query search using this multi-modality 387 00:22:53,630 --> 00:22:58,130 Ejaaz: that we just described with embedding two and kind of intuitively figure out where you want to go. 388 00:22:58,270 --> 00:23:01,930 Ejaaz: Now, it instantly reminded me of the experience that you've described, 389 00:23:02,010 --> 00:23:07,030 Ejaaz: Josh, when you use Grok in your autonomous car in your Tesla. 390 00:23:07,530 --> 00:23:11,890 Ejaaz: This is now Google's version for that. What I love about this is it's not just 391 00:23:11,890 --> 00:23:17,610 Ejaaz: based on kind of AI knowledge, it's based on 500 million reviews from 300 million real people. 392 00:23:17,610 --> 00:23:21,310 Ejaaz: And it takes you from like having to scroll through a bunch of reviews, 393 00:23:21,450 --> 00:23:26,190 Ejaaz: reading comments to this experience where you're having an LLM whilst you figure 394 00:23:26,190 --> 00:23:28,010 Ejaaz: out where you want to go or what you want to do with your day. 395 00:23:28,090 --> 00:23:31,830 Ejaaz: And it changes the way that people plan their itineraries or choose where they want to go. 396 00:23:32,110 --> 00:23:35,370 Ejaaz: Now, what's most exciting for this, for Google in particular, 397 00:23:35,690 --> 00:23:38,650 Ejaaz: is can you imagine if they switch on ads for this type of thing? 398 00:23:38,890 --> 00:23:44,070 Ejaaz: Like they will now own the entire funnel from deciding what people want to do 399 00:23:44,070 --> 00:23:47,810 Ejaaz: because they're going to suggest what you want to do and then monetizing that on the back end. 400 00:23:47,970 --> 00:23:50,530 Ejaaz: So it's just a crazy world that we're headed into. I thought this was cool. 401 00:23:50,870 --> 00:23:54,230 Josh: Yeah, Google Maps is great. They're crushing it. Okay, this final story of the 402 00:23:54,230 --> 00:23:57,430 Josh: week, I had to confirm with you that this was real. 403 00:23:57,610 --> 00:24:00,750 Josh: And I had to watch the videos a couple times. And even after watching it the 404 00:24:00,750 --> 00:24:02,410 Josh: first time, it took me a moment to understand 405 00:24:03,020 --> 00:24:07,040 Josh: What was actually happening here? There are... This is a combination. 406 00:24:07,260 --> 00:24:10,600 Josh: The convergence of cockroach and computer has finally happened. 407 00:24:10,720 --> 00:24:15,000 Josh: We've reached the cockroach singularity in which they've converged into one super roach. 408 00:24:15,180 --> 00:24:18,020 Josh: And for some people, this is an absolute nightmare. And for others, 409 00:24:18,100 --> 00:24:22,740 Josh: this is this cool kind of futuristic sci-fi world that we're living in. But there are now... 410 00:24:23,390 --> 00:24:28,010 Josh: Robotic cockroaches walking around the planet. Ejaz, I know you were all over 411 00:24:28,010 --> 00:24:31,350 Josh: this news. What is going on here? This video is outrageous. 412 00:24:31,910 --> 00:24:36,190 Ejaaz: So these aren't robotic cockroaches, Josh. These are real cockroaches, 413 00:24:36,350 --> 00:24:39,430 Ejaaz: live cockroaches that have been fitted with a few things. 414 00:24:40,670 --> 00:24:43,890 Ejaaz: Cameras, microphones, and a locally run AI model. 415 00:24:44,170 --> 00:24:47,630 Ejaaz: It's slapped on the back of these cockroaches. This is like the big helmet thing 416 00:24:47,630 --> 00:24:49,790 Ejaaz: that you can see them wearing in this video. 417 00:24:49,990 --> 00:24:53,750 Ejaaz: You might be asking why? Well, the idea was birthed from NATO. 418 00:24:54,110 --> 00:24:57,330 Ejaaz: And by the way, these things have been alive for like almost a year at this 419 00:24:57,330 --> 00:24:58,810 Ejaaz: point, but the news broke yesterday. 420 00:24:59,330 --> 00:25:03,830 Ejaaz: NATO issues these things to military. So right now, the German military has 421 00:25:03,830 --> 00:25:08,510 Ejaaz: deployed a bunch of these cockroaches to scout out certain military locations 422 00:25:08,510 --> 00:25:12,330 Ejaaz: or places that they're targeting, their enemies, sleuthing, things like that. 423 00:25:12,550 --> 00:25:17,530 Ejaaz: These cockroaches can maneuver through rubble, creep into certain cracks to 424 00:25:17,530 --> 00:25:22,030 Ejaaz: check out certain areas, pick up audio feeds, spying on different people, basically. 425 00:25:22,530 --> 00:25:25,750 Ejaaz: Now, the reason why this is wild is the tech alone. 426 00:25:26,050 --> 00:25:31,190 Ejaaz: So the tech, to be able to compile a microscopic AI chip onto a cockroach is a feat in itself. 427 00:25:31,230 --> 00:25:36,150 Ejaaz: But they also steer these cockroaches, Josh, using electrical pulses. 428 00:25:36,410 --> 00:25:39,410 Ejaaz: So if they want the cockroach to go left or go in a certain direction, 429 00:25:39,770 --> 00:25:42,970 Ejaaz: they're constantly sending these electrical pulses to maneuver them, 430 00:25:43,070 --> 00:25:47,370 Ejaaz: just like you would like an RV car or remote control college just a insane uh 431 00:25:47,370 --> 00:25:48,990 Ejaaz: bit of technology for you to round. 432 00:25:48,990 --> 00:25:52,030 Josh: Up the theme for this week seems to be sci-fi and all 433 00:25:52,030 --> 00:25:55,010 Josh: of these terms are kind of all these themes are kind of disturbing right so 434 00:25:55,010 --> 00:25:58,170 Josh: earlier this week we did the doom episode where 435 00:25:58,170 --> 00:26:01,110 Josh: we kind of sliced human or we took human brain cells 436 00:26:01,110 --> 00:26:04,150 Josh: we trained them to play doom and then we sliced us uh 437 00:26:04,150 --> 00:26:07,190 Josh: the brain of a fly a fruit fly and then you 438 00:26:07,190 --> 00:26:10,790 Josh: can like put that fruit fly into a computer and clone them and now we've we've 439 00:26:10,790 --> 00:26:15,030 Josh: augmented cockroaches to have these physical augmentations that allow them to 440 00:26:15,030 --> 00:26:19,370 Josh: be controlled and merged with ai and it feels like this is all early versions 441 00:26:19,370 --> 00:26:24,910 Josh: of where it's headed towards in terms of like human augmentation like okay we could cut a fly brain 442 00:26:25,550 --> 00:26:28,270 Josh: to copy and put it in digital world how long until it 443 00:26:28,270 --> 00:26:31,250 Josh: becomes a human brain like oh now we're augmenting cockroaches how long 444 00:26:31,250 --> 00:26:34,770 Josh: before we start augmenting humans and you start to map 445 00:26:34,770 --> 00:26:37,530 Josh: this out and it's like okay we're we're making progress far 446 00:26:37,530 --> 00:26:41,850 Josh: quicker than we ever have before the world is seemingly very sci-fi and ai is 447 00:26:41,850 --> 00:26:46,010 Josh: accelerating the rate at all this scientific progress happens so it's it's a 448 00:26:46,010 --> 00:26:48,890 Josh: weird future like imagine you're in the war zone and there's a million of these 449 00:26:48,890 --> 00:26:52,350 Josh: cockroaches coming towards you cockroaches never die they're invincible too 450 00:26:52,350 --> 00:26:54,910 Josh: so this is like clearly a very dominant form. 451 00:26:55,070 --> 00:26:58,310 Josh: I hope they keep these out of Manhattan and New York City because I think the 452 00:26:58,310 --> 00:27:02,650 Josh: cockroach problem is already enough without like these AI machines controlling them. 453 00:27:02,910 --> 00:27:08,330 Josh: But yeah, this is like weird dystopian sci-fi craziness that we're seemingly getting an 454 00:27:10,390 --> 00:27:13,110 Josh: Cool story to end the week on. This is pretty fascinating, pretty weird, 455 00:27:13,350 --> 00:27:17,270 Josh: pretty wild. Don't know if I like it. Like, I respect the innovation. 456 00:27:17,570 --> 00:27:19,990 Ejaaz: I've never been more disgusted by such a cool piece of tech. 457 00:27:20,110 --> 00:27:23,690 Josh: Dude. Yeah, yeah. So shout out to whoever's working on that. 458 00:27:23,810 --> 00:27:26,490 Josh: Good for you. I'm happy for you. I hope you keep that in a lab. 459 00:27:26,630 --> 00:27:28,150 Josh: Don't let it out, please. 460 00:27:28,150 --> 00:27:33,230 Ejaaz: Don't let it get out, please, please. So that rounds up our weekly roundup. 461 00:27:33,550 --> 00:27:36,770 Ejaaz: We had three banger episodes put out this week. we 462 00:27:36,770 --> 00:27:39,970 Ejaaz: talked about uploading a fruit fly's brain and 463 00:27:39,970 --> 00:27:43,030 Ejaaz: human brain cells playing doom on episode one episode 464 00:27:43,030 --> 00:27:45,690 Ejaaz: two we talk about uh starlink mobile and the 465 00:27:45,690 --> 00:27:50,270 Ejaaz: upcoming starlink v3 satellite launch you definitely want to catch that um and 466 00:27:50,270 --> 00:27:54,230 Ejaaz: then the third episode we released yesterday was is ai coding reaching its peak 467 00:27:54,230 --> 00:27:57,950 Ejaaz: or has it hit a massive wall the dark side of ai coding we released that this 468 00:27:57,950 --> 00:28:00,710 Ejaaz: morning or yesterday morning if you're listening to this right now definitely 469 00:28:00,710 --> 00:28:04,790 Ejaaz: go check that out I actually had a question for the audience, Josh. 470 00:28:05,150 --> 00:28:09,790 Ejaaz: For those of you who are still listening, I keep seeing this fossil of an AI 471 00:28:09,790 --> 00:28:12,190 Ejaaz: model keep popping up on my screen. It's called Copilot. 472 00:28:12,330 --> 00:28:14,270 Ejaaz: It's from this little known company called Microsoft. 473 00:28:14,530 --> 00:28:18,210 Ejaaz: And I'm curious whether any of you listening to this actually use it. 474 00:28:18,370 --> 00:28:21,690 Ejaaz: Now, the reason why I'm saying this is I've kind of been skeptical of it because 475 00:28:21,690 --> 00:28:25,070 Ejaaz: I have never known anyone in my circle, at least, that uses it. 476 00:28:25,250 --> 00:28:29,350 Ejaaz: But apparently, a bunch of Fortune 500 companies pay Microsoft tens of billions 477 00:28:29,350 --> 00:28:32,330 Ejaaz: of dollars a year to access it. So if you are one of those people, 478 00:28:32,530 --> 00:28:35,050 Ejaaz: can you let us know in the comments? Like, I really want to hear from you. 479 00:28:35,250 --> 00:28:37,190 Josh: Hey, if you've made it this far and you've listened to all of our episodes, 480 00:28:37,310 --> 00:28:38,790 Josh: congratulations, you are totally caught up. 481 00:28:39,010 --> 00:28:41,610 Josh: Go enjoy your weekend. Go touch some grass. The weather's been pretty great, 482 00:28:41,670 --> 00:28:44,210 Josh: at least on the East Coast. So I hope you have some time to enjoy that. 483 00:28:44,530 --> 00:28:47,130 Josh: Thank you so much again for sharing with your friends, rating five stars on 484 00:28:47,130 --> 00:28:48,350 Josh: the podcast apps if you haven't. 485 00:28:48,530 --> 00:28:51,390 Josh: And just being generally supportive. We try to read all the comments. 486 00:28:51,490 --> 00:28:52,670 Josh: We've been getting through just about all of them. 487 00:28:52,810 --> 00:28:55,030 Josh: That's a lot. I really appreciate all the support as always. 488 00:28:55,170 --> 00:28:57,790 Josh: So thank you for another amazing week of four episodes. 489 00:28:57,990 --> 00:29:00,230 Josh: And we will see you guys next week with all the new AI news.