The Robot Revolution: Nvidia's GROOT, Neuralink Breakthroughs & Our Cyborg Future

Ep10 The Robot Revolution_ Nvidia_s GROOT, Neuralink Breakthroughs & Our Cyborg Future

Timestamped transcript

1 00:00:01,166 --> 00:00:06,566 Welcome to Venture Step Podcasts where we discuss entrepreneurship, industry trends,

2 00:00:06,566 --> 00:00:08,806 and the occasional book review.

3 00:00:09,786 --> 00:00:14,406 Get ready for a future where robots cook your dinner, care for your grandparents,

4 00:00:14,406 --> 00:00:17,206 and maybe even read your mind.

5 00:00:17,206 --> 00:00:22,126 NVIDIA's Project Groot and Neuralink's mind -blowing human trials are making sci

6 00:00:22,126 --> 00:00:23,466 -fi a reality.

7 00:00:23,466 --> 00:00:26,906 Before you dive in, I'm Dalton, your host.

8 00:00:27,226 --> 00:00:27,788 My...

9 00:00:27,788 --> 00:00:31,757 Background is a bit of a mix of programming and insurance offline.

10 00:00:31,757 --> 00:00:37,358 You could find me running lost in a good book or building my side business.

11 00:00:37,358 --> 00:00:43,838 You can listen to the podcasts in video or audio format on Spotify or YouTube.

12 00:00:44,037 --> 00:00:48,658 If audio is your thing, you can of course find the podcast on Apple podcasts,

13 00:00:48,858 --> 00:00:53,698 Spotify, YouTube, or wherever else you get your podcasts.

14 00:00:53,698 --> 00:00:57,038 Today we'll be discussing the videos project Groot.

15 00:00:57,038 --> 00:01:02,898 that was announced two weeks ago during Nvidia's conference slash project roadmap

16 00:01:02,898 --> 00:01:03,898 demo.

17 00:01:04,338 --> 00:01:08,558 We'll also be discussing Neuralink's human trials.

18 00:01:08,558 --> 00:01:14,818 Neuralink recently was approved by the FDA to do human trials, their first human

19 00:01:14,818 --> 00:01:15,600 trial.

20 00:01:17,070 --> 00:01:22,390 and that individual had their surgery in January.

21 00:01:22,390 --> 00:01:24,670 It took them, I think a month to recover.

22 00:01:25,089 --> 00:01:33,169 Two weeks ago, Neuralink sent out videos, a live demo with Nolan and Nolan was the

23 00:01:33,169 --> 00:01:39,170 first human where Neuralink is being prescribed to.

24 00:01:40,050 --> 00:01:41,248 Nolan was.

25 00:01:42,766 --> 00:01:49,936 or not was, but is paralyzed from the chest down from a freak diving accident, I

26 00:01:49,936 --> 00:01:53,426 think eight years ago, and he lives with his parents.

27 00:01:53,706 --> 00:01:58,926 And basically the video kind of discussed how Neuralink has changed his life.

28 00:01:59,106 --> 00:02:01,026 And it's only been a short time.

29 00:02:01,026 --> 00:02:06,606 And so I think it was it's a really touching story about how technology can

30 00:02:06,606 --> 00:02:12,022 can help out and improve the day to day lives of.

31 00:02:12,142 --> 00:02:18,992 of people that you might not see on the surface, but they're around and they need

32 00:02:18,992 --> 00:02:24,842 help and they don't want to have to rely on other people.

33 00:02:25,062 --> 00:02:32,982 They want to have some level of independence, either born that way or

34 00:02:32,982 --> 00:02:39,702 freak accidents or choices, you know, led to independence being taken away.

35 00:02:39,922 --> 00:02:41,296 And NVIDIA,

36 00:02:42,926 --> 00:02:49,018 slash neurolink slash figure slash.

37 00:02:50,670 --> 00:02:55,846 Tesla Optimus has a promise to...

38 00:02:57,390 --> 00:03:01,350 give people independence again.

39 00:03:02,450 --> 00:03:07,150 And then maybe if we have enough time, I don't think I'll talk about it, but when

40 00:03:07,150 --> 00:03:11,290 tech outpaces society, maybe I could touch upon it a little bit.

41 00:03:11,770 --> 00:03:17,570 But for Groot, so Groot once again was announced by Nvidia a couple weeks ago,

42 00:03:18,010 --> 00:03:25,050 and Groot is part of the project roadmap for Gear.

43 00:03:25,050 --> 00:03:26,350 Gear is a...

44 00:03:26,350 --> 00:03:33,410 An additional research arm that NVIDIA spun up with Jim Fan being the head of it.

45 00:03:33,410 --> 00:03:40,050 Jim Fan is like, I think the head of AI research and innovation at NVIDIA.

46 00:03:40,790 --> 00:03:49,280 Jim Fan got his PhD at Stanford, and I think he was a professor for some time or

47 00:03:49,280 --> 00:03:55,180 still is, but he's obviously highly involved with NVIDIA and is heading the

48 00:03:55,180 --> 00:03:56,196 next.

49 00:03:56,622 --> 00:04:01,702 chapter with AI research at Nvidia.

50 00:04:02,662 --> 00:04:09,642 And so Groot is a foundational model and I'm not sure everyone understands what a

51 00:04:09,642 --> 00:04:12,242 foundational model, but we'll discuss it.

52 00:04:12,242 --> 00:04:19,482 And I think that the best way to do so is with an analogy with Legos.

53 00:04:19,862 --> 00:04:25,986 So say that you have three Legos, you have one Lego that is

54 00:04:26,670 --> 00:04:30,970 just the Legos, just basic Legos, nothing much about it.

55 00:04:30,970 --> 00:04:36,690 Then you have another set of Legos that is a kit to build a princess castle.

56 00:04:37,550 --> 00:04:43,220 And the kit, you know, follow the instructions, you can build the princess

57 00:04:43,220 --> 00:04:48,210 castle, and then you have another set that's also a kit that builds a Batmobile,

58 00:04:49,030 --> 00:04:50,028 right?

59 00:04:51,694 --> 00:04:58,014 And those kits could be represent purpose -built models.

60 00:04:58,014 --> 00:05:04,404 And so a purpose -built model, if you build a Batmobile, the model knows exactly

61 00:05:04,404 --> 00:05:06,554 how to build a Batmobile.

62 00:05:06,554 --> 00:05:13,774 Or if you build a Princess Castle, the model can build the best Princess Castle.

63 00:05:14,054 --> 00:05:21,312 But if you ask it to build, say, you ask the Batmobile,

64 00:05:21,390 --> 00:05:28,450 kit or you, I guess in this analogy, if you try to build a princess castle using

65 00:05:28,450 --> 00:05:33,180 the batmobile kit, you're obviously not going to be able to do so because you're

66 00:05:33,180 --> 00:05:34,070 not going to have the right parts.

67 00:05:34,070 --> 00:05:35,710 You're not going to have the right instructions.

68 00:05:35,710 --> 00:05:44,350 And so that's the point of a foundational model or general purpose model is where

69 00:05:44,350 --> 00:05:50,382 you have these basic blocks and these basic blocks are just different.

70 00:05:50,382 --> 00:05:55,952 models combined into each other that are considered the building blocks, right?

71 00:05:55,952 --> 00:06:03,002 Like as a human, you have hearing, you have sight, taste, smell, touch.

72 00:06:03,002 --> 00:06:08,822 And so you have all these senses and all of these senses give you data on your

73 00:06:08,822 --> 00:06:14,862 environment and what you're doing and how you're doing it and if it's good or bad.

74 00:06:15,482 --> 00:06:20,174 And so that's what is trying to be achieved with a

75 00:06:20,174 --> 00:06:25,614 foundational model or general purpose model is you just have these basic Legos

76 00:06:25,614 --> 00:06:32,474 and these Legos you could build a Batmobile, you could build this princess

77 00:06:32,474 --> 00:06:33,488 castle.

78 00:06:35,234 --> 00:06:37,794 without having the instructions.

79 00:06:38,794 --> 00:06:44,784 But to do that, you need a solid understanding of your environment, a solid

80 00:06:44,784 --> 00:06:55,384 understanding of physics, a grasp of how to interact with your, how your body

81 00:06:55,384 --> 00:06:57,854 interacts with your external environment.

82 00:06:58,474 --> 00:07:04,274 Crazy things like, okay, when you step as a robot, how...

83 00:07:04,398 --> 00:07:11,228 How long should you wait until you take your next step or how much force in the

84 00:07:11,228 --> 00:07:18,318 rotation between steps and where do you kind of lean your body and how do you

85 00:07:18,318 --> 00:07:21,798 lower your center of gravity on slippery surfaces?

86 00:07:21,798 --> 00:07:27,598 All these crazy things that we don't think is very complicated because we just do

87 00:07:27,598 --> 00:07:32,298 them is pretty complicated for robots.

88 00:07:32,938 --> 00:07:34,382 And so,

89 00:07:35,246 --> 00:07:40,346 One of the ways that you can tackle this is with reinforcement learning, and this

90 00:07:40,346 --> 00:07:44,486 is typically done in a simulated environment.

91 00:07:45,046 --> 00:07:48,046 Other people would call it virtual reality.

92 00:07:48,606 --> 00:07:51,068 So in this simulated environment,

93 00:07:52,654 --> 00:08:00,264 they would do a task and say the robot would climb the stairs and then it would

94 00:08:00,264 --> 00:08:01,324 learn how to climb the stairs.

95 00:08:01,324 --> 00:08:04,694 It would climb the stairs like 200 ,000 times.

96 00:08:04,694 --> 00:08:09,714 And then after the robot could probably climb the stairs in the simulation, then

97 00:08:09,714 --> 00:08:12,934 they would try to do so in the real world.

98 00:08:13,554 --> 00:08:21,224 And so the robot would do the same thing and maybe they'll pour some water on the

99 00:08:21,224 --> 00:08:22,234 stairs.

100 00:08:23,854 --> 00:08:27,094 and the robot slips and they have to go back to the drawing board.

101 00:08:27,394 --> 00:08:34,114 And typically, or not typically, but the way that the Boston Dynamics does it is

102 00:08:34,114 --> 00:08:40,154 they have these code -built models where the developers slash engineers, they build

103 00:08:40,154 --> 00:08:45,434 these models and they code out the conditions and write what you're supposed

104 00:08:45,434 --> 00:08:47,314 to do in certain situations.

105 00:08:47,374 --> 00:08:50,422 And then they supplement it with reinforcement learning.

106 00:08:51,918 --> 00:08:53,978 And that's kind of what Groot is doing.

107 00:08:53,978 --> 00:08:57,038 They'll have reinforcement learning, which is Omniverse.

108 00:08:57,038 --> 00:09:04,638 And so Omniverse is a hyper -realistic physics -built model that has many

109 00:09:04,638 --> 00:09:05,818 purposes.

110 00:09:06,438 --> 00:09:14,798 One being, I spoke about it maybe seven episodes ago with Lockheed Martin using it

111 00:09:14,798 --> 00:09:20,370 to simulate global warming and how global warming would affect the environment.

112 00:09:21,422 --> 00:09:24,922 Another good example would be for Dune 2.

113 00:09:24,922 --> 00:09:35,022 Dune 2, they used omniverse to simulate the generation or they use omniverse to

114 00:09:35,022 --> 00:09:42,962 generate and simulate the grains of sand when the dune worm was moving around.

115 00:09:42,962 --> 00:09:47,472 Like, you know how like the sand was like swooshing around and looked crazy

116 00:09:47,472 --> 00:09:48,522 realistic?

117 00:09:48,662 --> 00:09:50,830 That was from

118 00:09:50,830 --> 00:09:51,896 Omniverse.

119 00:09:53,472 --> 00:09:56,752 sidebar but the Dune movie was great.

120 00:09:56,752 --> 00:10:04,022 I really enjoyed it and I can't wait for Dune 3 or if there is, if there's not, I

121 00:10:04,022 --> 00:10:04,682 don't know.

122 00:10:04,682 --> 00:10:08,572 I can't tell you because if you haven't seen the movie I don't want to ruin it

123 00:10:08,572 --> 00:10:09,318 but...

124 00:10:10,798 --> 00:10:11,398 It was great.

125 00:10:11,398 --> 00:10:13,638 You should definitely see it.

126 00:10:13,978 --> 00:10:20,890 Anyways, so Omniverse is this hyper holistic physics base model.

127 00:10:23,022 --> 00:10:29,762 they built a lab on top of it called Isaac's Lab on top of Omniverse.

128 00:10:30,782 --> 00:10:39,892 So Isaac Lab is a, I guess, think about it as a robotics playground where robots

129 00:10:39,892 --> 00:10:45,402 would be able to do these reinforcement learning activities.

130 00:10:45,682 --> 00:10:52,582 So that would entail a robot doing simulations and the

131 00:10:53,518 --> 00:10:57,268 robot in this case, I mean, it's called an agent because it's not really the robot's

132 00:10:57,268 --> 00:11:01,428 not there, but it's easier to talk about it as if the robot is there.

133 00:11:01,428 --> 00:11:06,758 So the robot is doing X thing in the simulation.

134 00:11:06,758 --> 00:11:17,238 And what's cool about it is the robot would learn a thousand times faster in the

135 00:11:17,238 --> 00:11:23,054 Isaac lab than it would in a real time simulation.

136 00:11:23,854 --> 00:11:32,674 So the throughput between real time versus simulated environment is a thousand times,

137 00:11:33,454 --> 00:11:36,874 which is a lot.

138 00:11:37,874 --> 00:11:43,534 It's really hard to put a perspective on it.

139 00:11:43,814 --> 00:11:47,754 But I think that that's huge, right?

140 00:11:47,754 --> 00:11:50,214 So they have this omniverse piece.

141 00:11:50,214 --> 00:11:51,754 So that would be reinforcement learning.

142 00:11:51,754 --> 00:11:53,948 And then they have LLMs.

143 00:11:53,998 --> 00:11:59,018 So large language models, you know, I've talked about them many times on the show,

144 00:11:59,018 --> 00:12:06,798 but a large language model is a model that communicates via text and is trained on

145 00:12:06,798 --> 00:12:14,928 lots of texts and they have a lot of parameters, like a billion, and they are

146 00:12:14,928 --> 00:12:23,502 able to talk about many topics if it involves text and or I guess audio.

147 00:12:23,502 --> 00:12:27,482 you can do depending on the situation and the model you're using.

148 00:12:29,782 --> 00:12:32,982 But Groot is also gonna be using LLMs.

149 00:12:32,982 --> 00:12:38,462 And so think about Omniverse, Isaac Labs as one building block, and then think

150 00:12:38,462 --> 00:12:41,622 about LLMs as another building block.

151 00:12:41,622 --> 00:12:46,692 And they keep building on these little kind of side projects and they combine

152 00:12:46,692 --> 00:12:53,038 them into this foundational model with all these other

153 00:12:53,038 --> 00:12:58,138 pieces that one might be your sight, one might be your hearing.

154 00:12:58,138 --> 00:13:09,638 And so I don't know what the omniverse would be, but maybe LLMs is easy, where

155 00:13:09,638 --> 00:13:17,958 LLMs would be your, I guess your voice, that's not really a sense, but that, or

156 00:13:17,958 --> 00:13:19,798 your hearing.

157 00:13:20,278 --> 00:13:22,926 Yeah, your voice and your hearing, okay.

158 00:13:22,926 --> 00:13:25,606 I stumbled there.

159 00:13:25,606 --> 00:13:32,956 So with LLMs hooked up to the robots, like using the group model, robots would be

160 00:13:32,956 --> 00:13:39,195 able to communicate back to you and they would also be able to understand tasks on

161 00:13:39,195 --> 00:13:40,386 the fly.

162 00:13:40,726 --> 00:13:45,996 And so you could ask in the demo they show and we'll show it in a second, but they

163 00:13:45,996 --> 00:13:50,734 show, Hey, can you, can you give me a high five?

164 00:13:50,734 --> 00:14:02,024 and the robot understands here's the audio, turns the audio into text, then the

165 00:14:02,024 --> 00:14:06,194 text understands what it needs to do and what inputs it needs to do for the

166 00:14:06,194 --> 00:14:07,074 machine.

167 00:14:07,074 --> 00:14:11,454 And then the machine puts its hand up, goes for the high five.

168 00:14:12,314 --> 00:14:13,444 That's pretty cool.

169 00:14:13,444 --> 00:14:16,274 And they also ask, oh, can you show me some moves?

170 00:14:16,274 --> 00:14:17,894 And then it gets jiggy with it.

171 00:14:17,894 --> 00:14:19,892 And I think it does a dab.

172 00:14:20,046 --> 00:14:21,226 It does a dab.

173 00:14:21,226 --> 00:14:26,046 If you're not familiar what a dab is, it's kind of when you have your opposite arm

174 00:14:26,046 --> 00:14:31,246 and you kind of put it towards your face, like towards your nose, and then you point

175 00:14:31,246 --> 00:14:34,006 your other arm like parallel.

176 00:14:34,666 --> 00:14:37,354 And I'm dabbing if you guys are watching video.

177 00:14:38,862 --> 00:14:40,302 Diving on the internet.

178 00:14:41,062 --> 00:14:48,042 But so they have the LLMs, they have the Omniverse, which is the Isaac Labs.

179 00:14:48,042 --> 00:14:53,902 Then they also have this other thing, which is pretty cool, called Mimikgen.

180 00:14:54,182 --> 00:15:02,732 Mimikgen, I think was created in 2023, but Mimikgen allows a human to control the

181 00:15:02,732 --> 00:15:03,602 robot.

182 00:15:05,230 --> 00:15:15,250 with VR and not only control, but teach the robot what to do.

183 00:15:15,250 --> 00:15:23,170 And so one, one example might be, okay, so in a simulation you are teaching the robot

184 00:15:23,170 --> 00:15:32,900 to cook and the robot needs to take the cookie sheet or pan or whatever the

185 00:15:32,900 --> 00:15:33,966 robot's doing.

186 00:15:33,966 --> 00:15:35,786 takes the pan out of the oven.

187 00:15:36,566 --> 00:15:41,326 And the simulation, they do that, I don't know, a thousand times.

188 00:15:41,326 --> 00:15:43,166 They take the pan out of the oven, put it on the counter.

189 00:15:43,166 --> 00:15:45,030 Take the pan out of the oven, put it on the counter.

190 00:15:46,510 --> 00:15:49,710 in the real world, the oven might be in an odd spot.

191 00:15:49,710 --> 00:15:53,800 It might not be on the ground where not the ground, but you know what I mean?

192 00:15:53,800 --> 00:16:01,990 Like the oven might be one of those wall ovens where it's hidden or it might be the

193 00:16:01,990 --> 00:16:04,630 vertical oven, the double, I think it's called it.

194 00:16:04,630 --> 00:16:05,770 I don't know what it's called.

195 00:16:05,770 --> 00:16:06,530 The double oven.

196 00:16:06,530 --> 00:16:07,750 I haven't bought a house yet.

197 00:16:07,750 --> 00:16:09,870 So still working on that one.

198 00:16:09,950 --> 00:16:15,030 I'll probably learn those things when, when they're become more important, but

199 00:16:15,030 --> 00:16:16,686 it's either like a,

200 00:16:17,582 --> 00:16:20,342 An oven that's not on the ground, let's just say that.

201 00:16:20,342 --> 00:16:26,182 So that could be a hidden oven where maybe you're at one of those nice houses and the

202 00:16:26,182 --> 00:16:31,522 kitchen cabinets and the oven look the same, so you can't really tell, same as

203 00:16:31,522 --> 00:16:33,182 the refrigerators.

204 00:16:34,182 --> 00:16:38,562 Or the oven's just not in the normal spot, it is on the simulation.

205 00:16:38,562 --> 00:16:42,844 And so maybe the robot knows what to do once it finds the oven.

206 00:16:42,990 --> 00:16:49,230 but it can't find the oven because it hasn't encountered anything of the sort in

207 00:16:49,350 --> 00:16:52,690 a real time simulation.

208 00:16:53,150 --> 00:17:00,890 So what you would do is you would hook up your mimic gin and you would train the

209 00:17:00,890 --> 00:17:04,080 robot how to do the task a couple of times in that area.

210 00:17:04,080 --> 00:17:07,482 And then the robot would understand what to do and it would learn.

211 00:17:09,358 --> 00:17:13,238 which is crazy.

212 00:17:13,498 --> 00:17:18,138 And I am going to share my screen.

213 00:17:18,378 --> 00:17:19,918 Let's see here.

214 00:17:19,918 --> 00:17:27,048 If you're not watching on video, I am going to just lightly narrate.

215 00:17:27,048 --> 00:17:28,598 I'm not gonna do the whole video.

216 00:17:28,598 --> 00:17:30,330 I'm just going to.

217 00:17:33,134 --> 00:17:37,274 kind of show snippets of it, because it, I'm turn off the sound.

218 00:17:37,434 --> 00:17:44,014 Okay, so they've got the robot walking around and doing things with its hands.

219 00:17:44,014 --> 00:17:45,084 It's got like human -like hands.

220 00:17:45,084 --> 00:17:53,804 There's many robots, but they have this weird, odd video of thousands of robots

221 00:17:53,804 --> 00:17:59,664 walking around this blank, white background with stairs and stairs that go

222 00:17:59,664 --> 00:18:01,146 up and down and.

223 00:18:01,598 --> 00:18:08,438 and uneven surfaces and there's robots falling down and stumbling and it's very

224 00:18:08,438 --> 00:18:08,828 chaotic.

225 00:18:08,828 --> 00:18:14,822 It's like a city center with robots, but they're falling down and making mistakes.

226 00:18:17,198 --> 00:18:24,648 So in this example, they have this robot getting trained by human how to pick up

227 00:18:24,648 --> 00:18:29,628 cups and pour coffee and make, I think this looks like lemonade.

228 00:18:29,628 --> 00:18:38,618 This one's a demonstration of a human teaching a robot how to do a dance move

229 00:18:38,618 --> 00:18:40,458 via video.

230 00:18:40,458 --> 00:18:42,018 So this was out Omniverse.

231 00:18:42,018 --> 00:18:46,734 So they went and they submitted the video, the robot learned.

232 00:18:46,734 --> 00:18:55,224 via Omniverse and then they went back to reality and demonstrated that it

233 00:18:55,224 --> 00:18:56,280 understood.

234 00:18:57,998 --> 00:19:01,538 This one's about the high five example I was kind of talking about earlier.

235 00:19:01,538 --> 00:19:03,518 So show me some cool moves.

236 00:19:04,158 --> 00:19:05,658 And it does the dab.

237 00:19:05,658 --> 00:19:07,068 It's pretty sick.

238 00:19:09,166 --> 00:19:09,946 So that's it.

239 00:19:09,946 --> 00:19:11,726 So let me stop sharing.

240 00:19:12,086 --> 00:19:13,190 Let's see here.

241 00:19:15,342 --> 00:19:26,532 Okay, so what kind of jobs would Groot be able to kind of enable safer workplace or

242 00:19:26,532 --> 00:19:28,162 more efficient work?

243 00:19:29,002 --> 00:19:33,472 I think that there's some pieces of manufacturing that could remove the human

244 00:19:33,472 --> 00:19:42,358 element that is dangerous and there would still definitely need human input and.

245 00:19:43,946 --> 00:19:49,006 monitoring of situations and people to maintain the robots.

246 00:19:49,646 --> 00:19:53,094 But if you can remove the human...

247 00:19:54,542 --> 00:20:01,322 The human death factor of certain aspects of manufacturing, that would be great.

248 00:20:01,722 --> 00:20:04,522 Sorting of trash, like trash cleanup.

249 00:20:04,522 --> 00:20:09,602 Like sometimes you have some cities, they have people sorting from plastics to

250 00:20:09,602 --> 00:20:11,398 just...

251 00:20:13,388 --> 00:20:16,618 debris that can be incinerated.

252 00:20:16,998 --> 00:20:20,078 And so they obviously don't want to light plastic on fire.

253 00:20:20,778 --> 00:20:26,258 So they have people sorting them or hazardous debris cleanup.

254 00:20:27,218 --> 00:20:31,588 Space travel was something that was really interesting where the general consensus

255 00:20:31,588 --> 00:20:38,568 for space travel is if you're going to set up a base somewhere and have humans

256 00:20:38,568 --> 00:20:43,150 habitate, like say the moon or Mars, you would need to.

257 00:20:43,150 --> 00:20:50,650 deploy a fabricator and then this fabricator would need to build out what

258 00:20:50,650 --> 00:20:54,230 you would need to start a base.

259 00:20:54,230 --> 00:20:59,249 So like the fabricator would make the environment for you, it would make the

260 00:20:59,249 --> 00:21:03,880 solar panels, the generators, maybe the battery storage, and maybe not the battery

261 00:21:03,880 --> 00:21:06,810 storage because it's a little bit more complicated, but it would need to be able

262 00:21:06,810 --> 00:21:09,290 to do majority of the stuff.

263 00:21:09,290 --> 00:21:12,422 And then someone's got to have to hook up.

264 00:21:13,070 --> 00:21:17,650 the items to the fab, not the fabricator, but put the items up together so they

265 00:21:17,650 --> 00:21:22,170 would have power and it'd be a little space before the humans came there.

266 00:21:22,190 --> 00:21:28,750 It would make sense for these little task robots to handle small things, but then

267 00:21:28,750 --> 00:21:36,810 obviously you need a robot that could be general purpose and handle many different

268 00:21:36,810 --> 00:21:39,150 aspects of setting up the base.

269 00:21:40,430 --> 00:21:41,774 And one of the things I think is,

270 00:21:41,774 --> 00:21:44,114 The biggest is elderly care.

271 00:21:44,654 --> 00:21:47,874 And I think that there might be some skepticism.

272 00:21:48,254 --> 00:21:53,054 Okay, you're thinking about these robots are probably like 200K, 500 ,000.

273 00:21:53,094 --> 00:22:01,334 The Tesla Optimus robot, according to Tesla is rumored, not really rumored, but

274 00:22:01,334 --> 00:22:07,374 like their estimations of the price is gonna be 20 to 25 ,000, which I think is

275 00:22:07,374 --> 00:22:08,926 very reasonable.

276 00:22:09,678 --> 00:22:13,458 given that it's cheaper than a car, the average price of a car.

277 00:22:14,298 --> 00:22:21,558 And this robot would be able to complete general tasks and help out at home.

278 00:22:21,558 --> 00:22:29,018 I don't know if it would be necessarily right out of the box, able to handle the

279 00:22:29,018 --> 00:22:34,098 requirements of elderly care, but I think that would be the long -term goal, like

280 00:22:34,098 --> 00:22:35,498 within 10 years.

281 00:22:37,966 --> 00:22:43,606 So they've got all this cool stuff and they had this cool demo and the same thing

282 00:22:43,606 --> 00:22:47,876 with figure a couple of weeks ago, but these are demos and they're not going to

283 00:22:47,876 --> 00:22:52,386 put out stuff that shines a bad light on the company.

284 00:22:52,386 --> 00:22:58,926 So these kind of are internal and not externally facing presentations.

285 00:22:59,746 --> 00:23:07,496 So I would have a little bit of skepticism, but I think that.

286 00:23:09,452 --> 00:23:12,662 Accompanies of maybe learn from Lordstown.

287 00:23:12,662 --> 00:23:14,102 I don't know.

288 00:23:14,102 --> 00:23:21,592 Lordstown, if you're not familiar, they had the truck incident where they demoed.

289 00:23:21,592 --> 00:23:29,342 They supposedly demoed a truck that was going down and driving on this highway.

290 00:23:29,342 --> 00:23:34,502 Sorry, I had a sneeze going down and driving on the highway.

291 00:23:34,502 --> 00:23:37,120 But actually, they just put it on a hill.

292 00:23:37,166 --> 00:23:43,096 and they had it go fast down a hill and then they videoed it on flat ground and

293 00:23:43,096 --> 00:23:44,626 they're like coming soon.

294 00:23:44,626 --> 00:23:50,256 But really it didn't have a functional product and people found out about it and

295 00:23:50,256 --> 00:23:55,526 it was a big deal and it basically bankrupted, bankrupt Lordstown.

296 00:23:56,386 --> 00:24:01,146 Anyways, so I hope that companies are being honest with what they're presenting

297 00:24:01,146 --> 00:24:04,838 and they are confident that if that...

298 00:24:04,942 --> 00:24:09,192 product was opened up to the public that day that the public could get the similar

299 00:24:09,192 --> 00:24:12,088 results to what they're getting during their demos.

300 00:24:14,440 --> 00:24:15,850 Neuralink.

301 00:24:16,290 --> 00:24:21,310 And I really talked about the patient Nolan Arbosh.

302 00:24:22,090 --> 00:24:31,660 Nolan Arbosh was someone who became paralyzed from the chest down or the neck

303 00:24:31,660 --> 00:24:32,570 down.

304 00:24:33,170 --> 00:24:39,080 And he had to move in with his parents because they couldn't afford or they had

305 00:24:39,080 --> 00:24:42,880 to move in his parents because he can't, you know, he can't function by himself

306 00:24:42,880 --> 00:24:43,758 anymore.

307 00:24:43,758 --> 00:24:48,018 and they also can't afford to have a stay home nurse.

308 00:24:48,018 --> 00:24:55,098 So his parents take care of him and he has limited independence.

309 00:24:55,778 --> 00:25:05,658 And so he was selected recently to undergo the Neuralink connectivity surgery.

310 00:25:05,658 --> 00:25:12,850 And basically Neuralink will open up your skull and put a chip in your brain.

311 00:25:12,910 --> 00:25:18,390 and the chip has these receptors and there's a thousand of them and they'll

312 00:25:18,390 --> 00:25:25,574 monitor your neural activity on your brain and then they would...

313 00:25:27,438 --> 00:25:35,248 not they, but the chip would eventually understand what you're thinking and they

314 00:25:35,248 --> 00:25:36,938 call them neural spikes.

315 00:25:36,938 --> 00:25:41,738 And so like neural spikes means that the chip understands that the brain is trying

316 00:25:41,738 --> 00:25:43,138 to communicate something.

317 00:25:43,138 --> 00:25:49,948 And then these communications or attempts to communicate are sent via Bluetooth to

318 00:25:49,948 --> 00:25:52,354 the device that they're trying to communicate with.

319 00:25:54,126 --> 00:25:58,386 And it sounds kind of complicated, but really it's you're thinking about stuff

320 00:25:58,386 --> 00:26:05,186 and the chip understands that you're trying to send data and that data is sent

321 00:26:05,186 --> 00:26:08,038 via Bluetooth, the device you're trying to communicate with.

322 00:26:12,606 --> 00:26:16,585 Insane, crazy, crazy stuff.

323 00:26:16,585 --> 00:26:21,706 This is straight out of sci -fi, like controlling computers with your brain.

324 00:26:24,026 --> 00:26:30,206 And Nolan has only, he's only had the chip and being functional for a couple months,

325 00:26:30,206 --> 00:26:31,386 I think.

326 00:26:31,426 --> 00:26:33,254 And Neuralink demoed.

327 00:26:35,310 --> 00:26:43,910 demoed his experience at his house, at Nolan's house, and they played kind of

328 00:26:43,910 --> 00:26:51,170 chess and just communicated on their experience of how cool it is to be

329 00:26:51,170 --> 00:26:55,270 independent, how cool it is to be able to talk with his friends on the internet, how

330 00:26:55,270 --> 00:27:02,210 cool it is to be able to play video games whenever he wants and not have to rely on

331 00:27:02,210 --> 00:27:05,068 his mom or dad to help him play.

332 00:27:05,230 --> 00:27:11,430 And, you know, he understands that it's nice for, for them to spend time with him.

333 00:27:11,430 --> 00:27:17,100 But at the same time, he doesn't want them, he doesn't want to have to rely on

334 00:27:17,100 --> 00:27:19,270 other people more than he needs to.

335 00:27:19,270 --> 00:27:27,038 And so he felt that it was awesome and amazing to have.

336 00:27:28,534 --> 00:27:35,774 increased independence than what he's been experiencing in the last eight years or

337 00:27:35,774 --> 00:27:36,654 so.

338 00:27:37,114 --> 00:27:40,354 And one of the things that he likes to do is play chess.

339 00:27:40,394 --> 00:27:47,114 I don't know what his elo is, but I don't know if he said it, but he was playing and

340 00:27:47,114 --> 00:27:50,106 talking at the same time and he was doing okay.

341 00:27:51,694 --> 00:27:57,074 So he wasn't really focusing on the game and was playing and able to talk and it

342 00:27:57,074 --> 00:27:59,214 was pretty neat to watch.

343 00:27:59,214 --> 00:28:01,474 And I'll share the video in a second.

344 00:28:02,554 --> 00:28:10,644 And another thing that he did was or likes to do was play Age of Empires and Age of

345 00:28:10,644 --> 00:28:13,334 Empires is a 4X strategy game.

346 00:28:13,434 --> 00:28:18,694 So 4X strategy game means like basically like four dimensional.

347 00:28:18,874 --> 00:28:19,842 And so...

348 00:28:19,842 --> 00:28:25,302 Normally like a strategy game might have like you have to manage your economy and

349 00:28:25,302 --> 00:28:33,062 war, but for X games you have to manage like your economy, your war, your

350 00:28:33,062 --> 00:28:44,462 citizens, the world slash like diplomacy with other nations.

351 00:28:44,462 --> 00:28:48,654 And so it becomes very complicated and they're.

352 00:28:48,654 --> 00:28:54,174 quite challenging, intriguing simulations of strategy.

353 00:28:55,054 --> 00:29:06,324 But the caveat is with this complexity becomes a increased time allotment to

354 00:29:06,324 --> 00:29:07,554 complete a game.

355 00:29:07,834 --> 00:29:10,884 And so I've played a couple of 4X strategy games.

356 00:29:10,884 --> 00:29:16,374 My favorite one that I've interacted with and I've never beat the game, or I guess

357 00:29:16,374 --> 00:29:18,382 not beat the game, but won a match.

358 00:29:18,382 --> 00:29:21,642 was this game called, or is this game called Stellaris?

359 00:29:21,642 --> 00:29:30,152 And Stellaris is a 4X space game, and you're a nation, and you start out in the

360 00:29:30,152 --> 00:29:35,312 middle of the galaxy, and you kind of build your space empire, and it's crazy

361 00:29:35,312 --> 00:29:39,412 complicated, and in one game, you're not even close to finishing, and you could be

362 00:29:39,412 --> 00:29:40,696 40 hours in.

363 00:29:42,606 --> 00:29:47,226 So I just said all that stuff to put it in perspective is like one of Nolan's

364 00:29:47,226 --> 00:29:49,494 favorite activities was to play.

365 00:29:50,990 --> 00:29:57,650 age of empires and basically what he would have to do is have his mom or dad click

366 00:29:57,650 --> 00:30:01,970 everything on the computer to, you know, he would have to tell them, Oh, click,

367 00:30:01,970 --> 00:30:04,430 click here, do this, move this unit there.

368 00:30:04,430 --> 00:30:12,550 And so it, it wasn't a good experience for himself because they don't know the game

369 00:30:12,550 --> 00:30:16,310 and he can't move as fast as he wants to move.

370 00:30:16,310 --> 00:30:19,458 And he can't play online.

371 00:30:20,590 --> 00:30:28,890 with other people in a competitive game with all of these extra inputs that are

372 00:30:28,890 --> 00:30:32,050 required to move and make decisions.

373 00:30:32,370 --> 00:30:35,590 Because it's 4X, but it's actually, it's pretty fast -paced.

374 00:30:35,590 --> 00:30:41,150 So if you fall behind, you fall behind, and it's very difficult to recover.

375 00:30:41,970 --> 00:30:48,090 Well, basically, it was very difficult and impossible for him to play Age of Empires.

376 00:30:48,090 --> 00:30:50,196 And this...

377 00:30:50,196 --> 00:30:56,136 technology enabled Nolan to play and that's what he did with the first night he

378 00:30:56,136 --> 00:31:02,066 played Age of Empires, I think he said like until like 5 .30, 6 a .m.

379 00:31:02,066 --> 00:31:08,006 and he said he wanted to keep playing but his Neuralink died so he had to charge it

380 00:31:08,006 --> 00:31:09,756 and so then he went to bed.

381 00:31:12,110 --> 00:31:25,830 I just think that there are positives to technologies like Neuralink and it's great

382 00:31:25,830 --> 00:31:33,180 to see people getting results from all of this research they've been doing for so

383 00:31:33,180 --> 00:31:33,650 long.

384 00:31:33,650 --> 00:31:41,446 Neuralink's been around for a long time and they haven't made...

385 00:31:42,350 --> 00:31:43,650 much progress.

386 00:31:44,010 --> 00:31:47,930 They've been testing on animals, but they're really struggling for years and

387 00:31:47,930 --> 00:31:52,610 rightly so to be able to test this on humans.

388 00:31:53,130 --> 00:31:56,604 And I think that.

389 00:31:58,478 --> 00:32:06,308 this would be something that would change the lives of many people and give people a

390 00:32:06,308 --> 00:32:13,298 level of independence that they may have never had or used to have.

391 00:32:14,038 --> 00:32:21,278 And it just gives a different perspective and aspect to their lives that they didn't

392 00:32:21,278 --> 00:32:24,720 think was possible, which is amazing.

393 00:32:25,550 --> 00:32:29,910 And so I'm sharing this video, if you're watching the video of Nolan, he's playing

394 00:32:29,910 --> 00:32:35,240 chess and you can kind of see his mouse is kind of moving around and he's moving the

395 00:32:35,240 --> 00:32:38,650 mouse with his mind, which is really cool.

396 00:32:38,650 --> 00:32:44,860 So he just moved the chess piece and he's talking about how he goes about.

397 00:32:46,670 --> 00:32:48,150 movement of the mouse.

398 00:32:48,150 --> 00:32:52,550 And so he started out and he would attempt to move it.

399 00:32:53,150 --> 00:32:58,350 And in his head he would say move, but he said that doesn't really work that well.

400 00:32:58,350 --> 00:33:02,970 You need to really think about the movement and kind of manifest where you

401 00:33:02,970 --> 00:33:05,630 want it to go and imagine what you want to do.

402 00:33:05,630 --> 00:33:06,750 And then that works.

403 00:33:06,750 --> 00:33:13,180 But if saying it, saying the command in his brain, it didn't, didn't compute the

404 00:33:13,180 --> 00:33:16,230 way that it's supposed to or how.

405 00:33:16,558 --> 00:33:25,878 he wanted it to, and so he said, basically manifesting the ideal result of what he

406 00:33:25,878 --> 00:33:31,328 wants, that would work with the computer versus him saying the command, which is

407 00:33:31,328 --> 00:33:32,638 pretty interesting.

408 00:33:33,138 --> 00:33:39,198 And took me a couple of takes to be able to explain that, because it's complicated

409 00:33:39,198 --> 00:33:42,624 to think about, because I don't know what it feels like.

410 00:33:45,806 --> 00:33:50,206 And then Nolan's just kind of explaining that, you know, he could play online and

411 00:33:50,206 --> 00:33:57,656 he can have this like new level of independence and have a good time.

412 00:33:57,656 --> 00:34:03,456 And he's smiling, laughing and just overall just thrilled to be a part of

413 00:34:03,456 --> 00:34:10,470 Neuralink and is extremely thankful that he was selected and just overjoyed.

414 00:34:12,462 --> 00:34:17,992 That being said, there are some ethical concerns with Neuralink and the results of

415 00:34:17,992 --> 00:34:27,262 their test subjects on animals were, let's say, less than desirable, I would say.

416 00:34:27,262 --> 00:34:35,366 Quite a few of the test subjects died and some of the animals were just...

417 00:34:36,846 --> 00:34:39,746 no longer what they used to be.

418 00:34:39,966 --> 00:34:46,766 I there are definitely some consequences to trying to innovate quickly.

419 00:34:47,406 --> 00:34:53,806 And people have been bringing that up as like a, like they're very upset about it.

420 00:34:53,806 --> 00:34:56,246 And rightly so.

421 00:34:56,866 --> 00:35:02,784 That being said, long -term, Neuralink envisions,

422 00:35:02,990 --> 00:35:08,520 being able to not only connect people to computers, they want to connect people to

423 00:35:08,520 --> 00:35:10,610 robots, the Tesla Optimus robot.

424 00:35:10,610 --> 00:35:15,230 They want people with Neuralink to be able to control the Tesla Optimus robot.

425 00:35:15,550 --> 00:35:21,720 They also envision Neuralink being able to fix people that, I wouldn't say fix

426 00:35:21,720 --> 00:35:26,982 people, but be able to allow individuals to...

427 00:35:29,644 --> 00:35:33,514 walk again, or walk.

428 00:35:33,834 --> 00:35:40,334 And the process is a little fuzzy in my head about it.

429 00:35:40,334 --> 00:35:47,938 But basically, they have the neurolink that's in your brain and the

430 00:35:49,422 --> 00:35:53,652 pathways to certain body parts aren't functioning the way that they normally

431 00:35:53,652 --> 00:35:54,682 should.

432 00:35:54,782 --> 00:36:01,462 And the way around that is to put a device in your spine.

433 00:36:01,722 --> 00:36:08,662 And this would basically make this like computer brain interface.

434 00:36:09,242 --> 00:36:17,382 And this would allow the user to send commands with their brain, the Neuralink

435 00:36:17,382 --> 00:36:18,544 chip.

436 00:36:20,174 --> 00:36:24,334 decodes the brain signals into plain movements.

437 00:36:24,634 --> 00:36:37,364 And then it sends the message down to the microelectrodes that are connected to the

438 00:36:37,364 --> 00:36:44,894 spinal cord with what they're calling a digital bridge to stimulate movement.

439 00:36:44,994 --> 00:36:49,266 And then the digital bridge sends

440 00:36:50,094 --> 00:37:00,364 sends the movement signals to the limbs that are damaged and then it kind of

441 00:37:00,364 --> 00:37:04,354 bypasses the original nervous system.

442 00:37:05,214 --> 00:37:13,584 So basically what Neuralink wants to do is create an artificial neural system using

443 00:37:13,584 --> 00:37:19,876 your brain as the key compute.

444 00:37:20,206 --> 00:37:30,296 like the computer, the CPU, like the CPU making all the commands and then the chip

445 00:37:30,296 --> 00:37:33,978 decodes the commands, then the codes are sent to.

446 00:37:35,758 --> 00:37:40,398 the codes are, the commands and slash codes are sent to the spine and the spine

447 00:37:40,398 --> 00:37:46,438 has the digital bridge and the digital bridge sends commands to the damaged

448 00:37:46,998 --> 00:37:48,258 limbs.

449 00:37:48,258 --> 00:37:50,598 Other than that, I don't know how they connect.

450 00:37:50,598 --> 00:37:53,578 I don't know how they connect the digital bridge to the limbs.

451 00:37:53,578 --> 00:37:58,978 I'm not sure how that all works, but that's, that's what I could gather, which

452 00:37:58,978 --> 00:38:04,654 is pretty nuts and insane and something that would be amazing for so many people.

453 00:38:05,486 --> 00:38:08,058 and overall very exciting.

454 00:38:09,614 --> 00:38:17,834 I think the last thing is tech is very close to just outpacing society.

455 00:38:18,514 --> 00:38:28,154 And I think that we haven't had a time, and I also understand or envision that

456 00:38:28,154 --> 00:38:36,454 this time in our current present day is the kind of infection point for AI and

457 00:38:36,494 --> 00:38:39,444 technology advancements that we've never seen before.

458 00:38:40,238 --> 00:38:44,498 and the pace that we're improving is just incredible.

459 00:38:45,438 --> 00:38:54,948 That being said, we are moving rapidly and I don't think that society has the correct

460 00:38:54,948 --> 00:39:00,442 or kind of put in place the right guide rails of.

461 00:39:02,446 --> 00:39:08,294 these things where we're just moving at just this incredible rate.

462 00:39:09,742 --> 00:39:13,392 And things, you know, bad things can happen and we're not, we're not

463 00:39:13,392 --> 00:39:17,402 necessarily, how do I put this?

464 00:39:17,742 --> 00:39:21,842 When electricity came about, right?

465 00:39:21,842 --> 00:39:27,722 People had a job where every night they would go and they would light the lights

466 00:39:27,722 --> 00:39:29,382 up that night.

467 00:39:29,382 --> 00:39:34,312 So they had street lights, but really the street lights were someone going by and

468 00:39:34,312 --> 00:39:35,662 lighting each light.

469 00:39:35,762 --> 00:39:38,652 So there wouldn't be dark on the street.

470 00:39:39,118 --> 00:39:43,678 And then I think in the morning they would go around and put the lights out.

471 00:39:44,538 --> 00:39:52,338 And electricity obviously replaced their job, but electricity didn't just turn on

472 00:39:52,338 --> 00:39:53,918 everywhere all at once.

473 00:39:53,918 --> 00:39:59,818 It was a slower process where they maybe do a section of the city at a time and

474 00:39:59,818 --> 00:40:05,668 then the workers could re -educate and they could find another job, maybe learn

475 00:40:05,668 --> 00:40:07,430 how to work on.

476 00:40:07,598 --> 00:40:13,938 work on the electricity systems or build the light poles that did the wiring.

477 00:40:14,438 --> 00:40:23,458 But with this AI stuff, it's kind of the snap of your finger and it's just there.

478 00:40:23,458 --> 00:40:30,468 There is no slow transition to where you've got 10 years or you've got five or

479 00:40:30,468 --> 00:40:31,378 three.

480 00:40:31,378 --> 00:40:35,950 It's kind of like once AI is ready to go and it's general and

481 00:40:35,950 --> 00:40:39,130 They've built these foundational models that I'm talking about.

482 00:40:39,130 --> 00:40:42,590 Like it's kind of just, it is what it is.

483 00:40:42,670 --> 00:40:48,130 And the robots, you know, I mentioned earlier that they could use them for

484 00:40:48,130 --> 00:40:53,910 elderly care and all these great things, but also at the same time, they're pretty

485 00:40:53,910 --> 00:41:00,600 inexpensive in the grand scheme of things like 20 K, like you could buy five robots

486 00:41:00,600 --> 00:41:03,896 and potentially replace five people.

487 00:41:04,750 --> 00:41:08,460 I don't necessarily think that you would be doing like a technical job.

488 00:41:08,460 --> 00:41:12,500 Like they're not going to be coding at a desk or something like that, but they're

489 00:41:12,500 --> 00:41:16,750 definitely going to take over some things for sure.

490 00:41:16,750 --> 00:41:20,610 And it's not going to be a.

491 00:41:21,090 --> 00:41:25,190 And what I think is like a slow transition, I think once the robots are

492 00:41:25,190 --> 00:41:31,150 ready, large companies will book big orders and then once they get to mass

493 00:41:31,150 --> 00:41:32,282 producing them.

494 00:41:33,486 --> 00:41:35,266 It is what it is.

495 00:41:35,646 --> 00:41:48,496 So I am intrigued, but a little unsettled and I am really excited about the

496 00:41:48,496 --> 00:41:53,176 opportunity to adapt along with the robots, right?

497 00:41:53,176 --> 00:41:56,826 So we're not, it's not about replacing us.

498 00:41:56,826 --> 00:42:01,646 It's about how we adapt alongside them and

499 00:42:01,646 --> 00:42:04,326 reap the benefits of our relationship.

500 00:42:04,326 --> 00:42:08,526 I don't have any new comments this week.

501 00:42:08,746 --> 00:42:17,975 Maybe you're saving the comments for next week, but I am excited to keep moving

502 00:42:17,975 --> 00:42:19,046 forward.

503 00:42:19,046 --> 00:42:23,986 Next week we'll be discussing a book, a book review.

504 00:42:23,986 --> 00:42:31,276 I got meditations by Mark Hayes that we'll be discussing and I'll share my thoughts.

505 00:42:31,278 --> 00:42:36,418 and hopefully I'll get to entrepreneurship stuff soon.

506 00:42:36,558 --> 00:42:38,854 I was sick for...

507 00:42:40,910 --> 00:42:42,190 three months.

508 00:42:42,210 --> 00:42:48,250 So I was having a tough time doing even doing these podcasts slash getting my work

509 00:42:48,250 --> 00:42:53,470 done at work and having to work late and some were at a busy time this year.

510 00:42:53,610 --> 00:42:59,190 And then I had to do these podcasts and I sometimes I was just in such bad shape.

511 00:42:59,190 --> 00:43:05,970 I was having a difficult time mentally getting through these podcasts episodes

512 00:43:05,970 --> 00:43:10,300 and it was difficult to to talk without coughing constantly and

513 00:43:10,574 --> 00:43:17,034 and it was difficult to express myself because I was in constant pain.

514 00:43:17,034 --> 00:43:24,034 So I am happy to say I have been sick free for two weeks.

515 00:43:24,034 --> 00:43:28,124 So it's huge because I've been sick since January, which is something that's not

516 00:43:28,124 --> 00:43:29,194 normal for me.

517 00:43:29,194 --> 00:43:31,334 Typically don't get sick at all.

518 00:43:31,714 --> 00:43:35,894 But that being said, I hope that I'll either do the book review or I'll talk

519 00:43:35,894 --> 00:43:38,062 about by vision in a little bit more detail.

520 00:43:38,062 --> 00:43:41,792 because I keep talking about in the intro discussing entrepreneurship, industry

521 00:43:41,792 --> 00:43:43,852 trends and the occasional book review.

522 00:43:43,852 --> 00:43:48,642 And it seems like all I'm doing is industry trends and our industry news

523 00:43:48,642 --> 00:43:51,342 slash trends and book reviews.

524 00:43:51,782 --> 00:43:57,222 So I would like to get some entrepreneurial information in there and

525 00:43:57,222 --> 00:44:02,592 kind of talk about what I've been working on, but we will see how this week pans

526 00:44:02,592 --> 00:44:03,662 out.

527 00:44:04,022 --> 00:44:04,602 All right.

528 00:44:04,602 --> 00:44:05,282 See everyone.

529 00:44:05,282 --> 00:44:06,700 Appreciate your time.

530 00:44:06,766 --> 00:44:09,546 and I'll talk to you next week, bye.