1 00:00:01,760 --> 00:00:04,319 Welcome to the Geek News Central podcast. I'm 2 00:00:04,319 --> 00:00:05,700 your host, Ray Cochran. 3 00:00:06,000 --> 00:00:07,440 I have a great episode lined up for 4 00:00:07,440 --> 00:00:08,259 you guys tonight. 5 00:00:08,800 --> 00:00:11,519 Leading off, T Mobile just opened registration for 6 00:00:11,519 --> 00:00:15,174 their Starlink satellite beta, Your regular phone connecting 7 00:00:15,174 --> 00:00:16,314 directly to satellites. 8 00:00:16,774 --> 00:00:19,175 No dead zones anywhere in the world. This 9 00:00:19,175 --> 00:00:20,234 is happening, folks. 10 00:00:20,855 --> 00:00:23,175 Also on the show, Japan tested a ship 11 00:00:23,175 --> 00:00:25,835 mounted laser that can shoot down drones forever 12 00:00:25,974 --> 00:00:27,434 without running out of ammo. 13 00:00:28,010 --> 00:00:31,210 China's Maglev train just broke speed records. Google's 14 00:00:31,210 --> 00:00:33,390 taking another shot at smart glasses with Gemini 15 00:00:33,450 --> 00:00:35,690 AI built in, and we've got physicists three 16 00:00:35,690 --> 00:00:37,850 d printing ice sculptures just in time for 17 00:00:37,850 --> 00:00:38,350 Christmas. 18 00:00:38,810 --> 00:00:40,094 Let's get into it. 19 00:00:40,575 --> 00:00:43,295 Welcome to episode eighteen fifty four of the 20 00:00:43,295 --> 00:00:45,475 Geek News Central podcast. It is 21 00:00:46,895 --> 00:00:48,335 what? Tuesday. Tuesday night. 22 00:00:49,215 --> 00:00:51,215 I'm actually giving this a second go for 23 00:00:51,215 --> 00:00:51,715 the 24 00:00:52,530 --> 00:00:55,090 recording. It had some audio issues that we'll 25 00:00:55,090 --> 00:00:56,870 kinda get into later. But 26 00:00:57,409 --> 00:01:00,609 leading article here, T Mobile opens registration for 27 00:01:00,609 --> 00:01:02,390 Starlink satellite beta source. 28 00:01:03,010 --> 00:01:05,969 We got this from, phonearea.com, 29 00:01:06,290 --> 00:01:07,510 written by Alan Friedman. 30 00:01:09,075 --> 00:01:11,314 We all know about dead zones. Dead zones, 31 00:01:11,715 --> 00:01:13,555 happen all over. You you might be out 32 00:01:13,555 --> 00:01:14,614 hiking in the forest, 33 00:01:14,995 --> 00:01:16,594 maybe in a place that's not so, 34 00:01:17,155 --> 00:01:19,875 regular traffic, maybe going to visit some family 35 00:01:19,875 --> 00:01:21,495 and you're driving out in the boonies. 36 00:01:22,590 --> 00:01:24,750 It is awful to lose phone signal when 37 00:01:24,750 --> 00:01:26,289 you have no clue where you are. 38 00:01:27,629 --> 00:01:30,349 Those places show up, as zero bars on 39 00:01:30,349 --> 00:01:31,950 your phone, you just wave your hand in 40 00:01:31,950 --> 00:01:33,469 the air. We've all been there. It's it's 41 00:01:33,469 --> 00:01:34,769 the worst feeling ever. 42 00:01:35,084 --> 00:01:37,484 Well, guess what? T Mobile and SpaceX have 43 00:01:37,484 --> 00:01:39,885 a little solution they've been working on. And 44 00:01:39,885 --> 00:01:42,765 it's, connecting your phone to regular directly to 45 00:01:42,765 --> 00:01:45,185 Starlink satellites with no special equipment. 46 00:01:46,284 --> 00:01:48,605 So on December 16, T Mobile opened a 47 00:01:48,605 --> 00:01:51,540 beta registration for the Starlight director direct to 48 00:01:51,540 --> 00:01:54,900 cell service. With over 300 satellites already in 49 00:01:54,900 --> 00:01:57,700 orbit, they're starting beta tests early twenty twenty 50 00:01:57,700 --> 00:01:58,920 five. Initially 51 00:01:59,939 --> 00:02:01,640 oh, I guess early twenty twenty 52 00:02:02,659 --> 00:02:03,159 six. 53 00:02:03,724 --> 00:02:04,224 Yeah. 54 00:02:05,405 --> 00:02:07,564 Hold its fourth quarter and full year earning 55 00:02:07,564 --> 00:02:09,264 call on February 4. 56 00:02:11,884 --> 00:02:14,625 So they're launching that, early twenty twenty six. 57 00:02:15,004 --> 00:02:15,245 And, 58 00:02:16,599 --> 00:02:18,599 initially, it's only gonna be texting only with 59 00:02:18,599 --> 00:02:20,460 voice and data coming later. 60 00:02:21,080 --> 00:02:23,020 The the service is free for T Mobile 61 00:02:23,159 --> 00:02:25,180 postpaid customers and specifically 62 00:02:25,639 --> 00:02:26,139 prioritizes 63 00:02:26,680 --> 00:02:27,419 first responders. 64 00:02:28,120 --> 00:02:30,805 They already proved it works During hurricanes, Helene 65 00:02:30,865 --> 00:02:33,745 and Milton, they temporarily activated the service for 66 00:02:33,745 --> 00:02:34,805 emergency communications. 67 00:02:36,305 --> 00:02:38,305 And what does this mean for you guys? 68 00:02:38,305 --> 00:02:40,865 Well, this could genuinely end dead zones. At 69 00:02:40,865 --> 00:02:41,745 500,000 70 00:02:41,745 --> 00:02:44,004 square miles of The US without cell coverage, 71 00:02:44,310 --> 00:02:46,629 satellites will fill the gap. You won't need 72 00:02:46,629 --> 00:02:49,030 a special phone or satellite communicator. Your existing 73 00:02:49,030 --> 00:02:51,270 phone will just work. For anyone who travels 74 00:02:51,270 --> 00:02:53,510 to remote areas, camps, hikes, or just live 75 00:02:53,510 --> 00:02:55,590 somewhere with spotty coverage, this is a pretty 76 00:02:55,590 --> 00:02:57,430 big deal. Sign up for the beta if 77 00:02:57,430 --> 00:02:58,069 you're curious. 78 00:02:58,390 --> 00:02:59,995 You can definitely check it out on T 79 00:02:59,995 --> 00:03:00,814 Mobile's website. 80 00:03:03,354 --> 00:03:04,974 Speaking of game changing tech, 81 00:03:05,275 --> 00:03:08,074 Japan tests a 100 kilowatt laser weapon that 82 00:03:08,074 --> 00:03:10,254 can cut through drones mid flight. 83 00:03:10,794 --> 00:03:13,194 This is, delivered by Live Science written by 84 00:03:13,194 --> 00:03:14,174 Fiona Jackson. 85 00:03:15,900 --> 00:03:18,139 Directed energy weapons have been the holy grail 86 00:03:18,139 --> 00:03:19,760 of military tech for decades. 87 00:03:20,219 --> 00:03:22,620 Lasers that can shoot down threats at the 88 00:03:22,620 --> 00:03:24,960 speed of light without running out of ammunition. 89 00:03:25,740 --> 00:03:28,700 The US, UK, France, and Germany have all 90 00:03:28,700 --> 00:03:30,615 been working on them. But no one's really 91 00:03:30,615 --> 00:03:32,794 cracked the code for practical deployment yet. 92 00:03:33,655 --> 00:03:35,974 Well, Japan's been quietly developing their own system 93 00:03:35,974 --> 00:03:37,495 for over a decade, and they just took 94 00:03:37,495 --> 00:03:39,115 a massive step forward. 95 00:03:42,120 --> 00:03:45,800 Japan's Acquisition Technology and Logistics Agency confirmed they've 96 00:03:45,800 --> 00:03:48,599 installed a 100 kilowatt laser on the JS 97 00:03:48,599 --> 00:03:51,580 Asuka test ship. The system built by Kawasaki 98 00:03:51,639 --> 00:03:55,240 Heavy Industries combines ten ten kilowatt fiber lasers 99 00:03:55,240 --> 00:03:57,099 into a single beam powerful 100 00:03:57,444 --> 00:03:59,224 powerful enough to burn through metal. 101 00:03:59,525 --> 00:04:02,085 During land based tests earlier this year, it 102 00:04:02,085 --> 00:04:05,544 successfully destroyed airborne drones and live mortar rounds. 103 00:04:05,764 --> 00:04:07,925 The whole set up fits into in two 104 00:04:07,925 --> 00:04:11,064 shipping container size modules. Holy moly. 105 00:04:11,629 --> 00:04:12,210 This is 106 00:04:12,750 --> 00:04:12,990 cool. 107 00:04:14,909 --> 00:04:16,670 The here's like the real kicker of the 108 00:04:16,670 --> 00:04:18,290 whole thing. This thing's 109 00:04:18,750 --> 00:04:21,649 this thing's got unlimited magazine depth. 110 00:04:21,949 --> 00:04:23,870 As long as you've got electricity, you can 111 00:04:23,870 --> 00:04:24,930 just keep shooting. 112 00:04:25,384 --> 00:04:27,485 No expensive missiles to reload, 113 00:04:27,865 --> 00:04:30,205 no magazines to reload, nothing. 114 00:04:30,584 --> 00:04:32,985 The cost per shot is a fraction of 115 00:04:32,985 --> 00:04:35,865 traditional air defense. Japan's looking at putting these 116 00:04:35,865 --> 00:04:38,985 on their next gen destroyers, potentially operational after 117 00:04:38,985 --> 00:04:40,110 2032. 118 00:04:40,269 --> 00:04:42,129 With tensions in the region and the drone 119 00:04:42,269 --> 00:04:45,310 threat changing modern warfare, this is Japan saying 120 00:04:45,310 --> 00:04:47,469 they are not willing willing to mess around. 121 00:04:47,469 --> 00:04:49,310 Man, my audio keeps dropping out. I keep 122 00:04:49,310 --> 00:04:51,569 hearing it. Not sure what's going on with 123 00:04:51,629 --> 00:04:53,229 the system, but I'll have to check on 124 00:04:53,229 --> 00:04:53,889 that later. 125 00:04:54,335 --> 00:04:57,074 But this is some cool sci fi stuff. 126 00:04:57,535 --> 00:04:59,295 If you guys are Star Wars or Star 127 00:04:59,295 --> 00:05:01,694 Trek fans or anything, you know, you you've 128 00:05:01,694 --> 00:05:05,295 been fantasizing about laser guns and and stuff 129 00:05:05,295 --> 00:05:06,995 like this for years. I mean, 130 00:05:07,800 --> 00:05:10,279 the drones were already a start of a 131 00:05:10,279 --> 00:05:12,839 crazy, you know, sci fi world that we 132 00:05:12,839 --> 00:05:15,399 are heading into and we're seeing robotic dogs 133 00:05:15,399 --> 00:05:16,060 and stuff. 134 00:05:16,519 --> 00:05:18,360 I talked about it last time that China 135 00:05:18,360 --> 00:05:21,240 had deployed autonomous robots to work in their 136 00:05:21,240 --> 00:05:24,314 factories. So we're looking at a ever changing 137 00:05:24,314 --> 00:05:27,194 and ever developing world, and this is a 138 00:05:27,194 --> 00:05:29,375 real signal into the change in, how 139 00:05:30,154 --> 00:05:32,875 defense is gonna start shaping out, at, you 140 00:05:32,875 --> 00:05:35,775 know, around countries. There's no way 141 00:05:36,110 --> 00:05:38,029 that they wouldn't set this up everywhere to 142 00:05:38,029 --> 00:05:39,569 defend their country, you know? 143 00:05:41,709 --> 00:05:43,550 But I wanna take a second, and, 144 00:05:44,669 --> 00:05:46,990 step aside and from the articles. And, you 145 00:05:46,990 --> 00:05:48,589 know, before we go any further, I gotta 146 00:05:48,589 --> 00:05:50,189 give some love to the people who's making 147 00:05:50,189 --> 00:05:51,329 this whole thing possible. 148 00:05:51,824 --> 00:05:53,904 You guys are seriously the heartbeat of geek 149 00:05:53,904 --> 00:05:54,564 news central, 150 00:05:54,944 --> 00:05:55,444 and 151 00:05:56,705 --> 00:05:58,465 we're trying our best to never take that 152 00:05:58,465 --> 00:06:00,785 for granted. 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Thanks for being 201 00:07:39,449 --> 00:07:40,189 here, guys. 202 00:07:43,574 --> 00:07:44,794 But my next article, 203 00:07:45,254 --> 00:07:46,794 so this one's a little bit of fun. 204 00:07:46,854 --> 00:07:50,214 China's t flight maglev train hits 387 205 00:07:50,214 --> 00:07:52,615 miles per hour and is aiming for 600 206 00:07:52,615 --> 00:07:54,870 plus. So this is another one in that 207 00:07:54,870 --> 00:07:56,790 zone of topic or I mean the zone 208 00:07:56,790 --> 00:07:59,430 of speed and innovation. So that zone of 209 00:07:59,430 --> 00:08:01,610 topic. I can't even speak right now. 210 00:08:02,870 --> 00:08:05,529 So this, article comes from, 211 00:08:07,564 --> 00:08:09,104 didn't have it open. My bad. 212 00:08:10,285 --> 00:08:12,704 ZME Science written by T. V. 213 00:08:14,044 --> 00:08:16,144 Puyu. Hopefully, I said I did that right. 214 00:08:17,805 --> 00:08:18,305 But 215 00:08:18,620 --> 00:08:21,259 high speed rail in China is already makes, 216 00:08:21,500 --> 00:08:24,319 American American trains look like horse drawn carriages, 217 00:08:24,540 --> 00:08:26,480 but they're not stopping there. 218 00:08:27,020 --> 00:08:29,920 The t flight project combines Maglev technology, 219 00:08:30,540 --> 00:08:31,600 magnetic levitation, 220 00:08:31,980 --> 00:08:35,154 no wheels touching tracks, with low vacuum tubes 221 00:08:35,154 --> 00:08:37,414 to push speeds into airplane territory. 222 00:08:39,714 --> 00:08:41,495 In February 2024 223 00:08:42,115 --> 00:08:42,615 tests, 224 00:08:43,075 --> 00:08:45,475 the t flight hit 387 225 00:08:45,475 --> 00:08:47,714 miles per hour on a 1.24 226 00:08:47,714 --> 00:08:48,534 mile track. 227 00:08:48,940 --> 00:08:51,659 Already faster than Japan's record holding l zero 228 00:08:51,659 --> 00:08:54,000 series Maglev at three seventy four. 229 00:08:54,379 --> 00:08:56,779 The design goal is 600 miles per hour, 230 00:08:56,779 --> 00:08:58,399 faster than commercial aircraft. 231 00:08:58,860 --> 00:09:00,799 Long term ambitions go even crazier. 232 00:09:01,325 --> 00:09:04,684 2485 233 00:09:04,684 --> 00:09:07,485 miles per hour, nearly three times the speed 234 00:09:07,485 --> 00:09:08,065 of sound 235 00:09:08,924 --> 00:09:12,285 Beijing to Shanghai, which is currently a six 236 00:09:12,285 --> 00:09:13,024 hour trip 237 00:09:13,485 --> 00:09:15,024 could go down to ninety minutes. 238 00:09:16,470 --> 00:09:16,970 Wow. 239 00:09:19,350 --> 00:09:20,490 Wow. Talk about travel 240 00:09:20,790 --> 00:09:21,769 and it 241 00:09:22,710 --> 00:09:24,970 I really do mean that, you know, 242 00:09:25,830 --> 00:09:27,690 we have no real, 243 00:09:28,304 --> 00:09:30,544 you know, high speed rail system here in 244 00:09:30,544 --> 00:09:32,144 The US like some of the other countries 245 00:09:32,144 --> 00:09:33,845 that I've been to. And 246 00:09:34,625 --> 00:09:37,585 it really is disappointing. I feel like, that 247 00:09:37,585 --> 00:09:40,960 would really boost, you know, people's ability to 248 00:09:40,960 --> 00:09:42,960 travel and get around and and see new 249 00:09:42,960 --> 00:09:44,820 places and open up their mindset 250 00:09:45,679 --> 00:09:46,580 instead of being, 251 00:09:47,279 --> 00:09:49,519 you know, having to go through a crazy 252 00:09:49,519 --> 00:09:52,000 train or a airport or airport system, which 253 00:09:52,000 --> 00:09:54,259 is, you know, always been awful since 254 00:09:56,024 --> 00:09:57,884 way back in 2001. So 255 00:09:59,304 --> 00:09:59,804 yeah. 256 00:10:02,024 --> 00:10:03,865 Although in that regard, I did recently see 257 00:10:03,865 --> 00:10:04,524 an article 258 00:10:05,225 --> 00:10:06,125 talking about, 259 00:10:06,504 --> 00:10:07,004 allowing 260 00:10:07,539 --> 00:10:09,860 people to go past the TSA even if 261 00:10:09,860 --> 00:10:11,940 they're not getting on the plane now, to 262 00:10:11,940 --> 00:10:13,299 go all the way out to the gates. 263 00:10:13,299 --> 00:10:15,220 So that might be, something that we might 264 00:10:15,220 --> 00:10:17,179 see kinda going back to how it used 265 00:10:17,179 --> 00:10:18,440 to be in the near future. 266 00:10:19,779 --> 00:10:20,279 But 267 00:10:21,654 --> 00:10:23,894 this is some crazy tech that they've got 268 00:10:23,894 --> 00:10:24,394 building. 269 00:10:26,055 --> 00:10:27,894 I wonder if it, like, the cost is 270 00:10:27,894 --> 00:10:29,035 is, like, practical 271 00:10:29,415 --> 00:10:31,975 and, you know, if this becomes, like, a 272 00:10:31,975 --> 00:10:32,475 really 273 00:10:34,449 --> 00:10:36,289 convenient mode of travel for people that, you 274 00:10:36,289 --> 00:10:38,389 know, outweighs what they're doing with 275 00:10:38,769 --> 00:10:40,990 aircraft, you know, I mean, it's 276 00:10:41,329 --> 00:10:42,709 you gotta wonder how much 277 00:10:43,169 --> 00:10:46,289 electricity this this system uses because it I 278 00:10:46,289 --> 00:10:47,029 don't know. 279 00:10:47,514 --> 00:10:49,134 I I wonder how it's powered. 280 00:10:49,914 --> 00:10:50,975 I have no clue. 281 00:10:51,434 --> 00:10:52,815 But this is really cool. 282 00:10:53,195 --> 00:10:55,054 But the T Flight is a Hyperloop 283 00:10:55,434 --> 00:10:58,574 inspired system that combines MagLift technology, 284 00:10:59,434 --> 00:11:02,475 which uses powerful electromagnets to literally float the 285 00:11:02,475 --> 00:11:02,975 train 286 00:11:03,539 --> 00:11:07,059 over a guideway with low vacuum tubes. This 287 00:11:07,059 --> 00:11:10,419 design eliminates both friction and air resistance almost 288 00:11:10,419 --> 00:11:12,440 entirely to achieve unprecedented 289 00:11:12,899 --> 00:11:13,399 speeds. 290 00:11:14,419 --> 00:11:16,259 So, yeah. I would check it out. There's 291 00:11:16,259 --> 00:11:18,740 some diagrams in the article that show just 292 00:11:18,740 --> 00:11:19,274 how it works. 293 00:11:20,315 --> 00:11:22,315 But it it I think this is some 294 00:11:22,315 --> 00:11:25,035 really impressive stuff. It looks like it travels 295 00:11:25,035 --> 00:11:26,654 in a tube and the tube 296 00:11:27,035 --> 00:11:27,535 has, 297 00:11:28,315 --> 00:11:29,295 what looks like 298 00:11:29,835 --> 00:11:32,394 solar panels all along the top. So it's 299 00:11:32,394 --> 00:11:33,535 paying for itself. 300 00:11:38,600 --> 00:11:41,419 Wow. Alright. Cool. Yeah. Definitely check this out. 301 00:11:42,600 --> 00:11:44,379 Thank you again, ZME Science. 302 00:11:45,080 --> 00:11:47,740 Next up, we got a little, article from 303 00:11:48,120 --> 00:11:48,620 Rivian. 304 00:11:51,565 --> 00:11:53,985 Or on Rivian from Jalopnik, 305 00:11:55,325 --> 00:11:58,065 by Justin Hughes. So this one is, 306 00:11:59,404 --> 00:12:01,325 kinda back onto the topic of self driving 307 00:12:01,325 --> 00:12:04,620 cars. Rivian shows why autonomous vehicles should have 308 00:12:04,620 --> 00:12:06,459 lidar. And if you are in the know 309 00:12:06,459 --> 00:12:07,759 on autonomous vehicles, 310 00:12:08,299 --> 00:12:11,100 you know exactly who Rivian is taking a 311 00:12:11,100 --> 00:12:13,899 dig at with this, type of research and 312 00:12:13,899 --> 00:12:14,399 commentary. 313 00:12:15,934 --> 00:12:17,615 The self driving car world has been split 314 00:12:17,615 --> 00:12:19,475 into two camps for years. 315 00:12:21,134 --> 00:12:24,335 Tesla famously called lidar a crutch and bet 316 00:12:24,335 --> 00:12:25,875 everything on just cameras. 317 00:12:26,735 --> 00:12:29,809 But, you know, other companies like Waymo have 318 00:12:29,809 --> 00:12:31,830 insisted that you need lidar for safety. 319 00:12:32,370 --> 00:12:35,090 And here we are now with Rivian also 320 00:12:35,090 --> 00:12:37,009 insisting just the same thing. And it's not 321 00:12:37,009 --> 00:12:38,850 just a tech debate. It's about whether the 322 00:12:38,850 --> 00:12:40,929 cars that might drive your kids around can 323 00:12:40,929 --> 00:12:43,269 actually see well enough to do it safely. 324 00:12:43,865 --> 00:12:45,644 And I think kind of a 325 00:12:46,345 --> 00:12:48,745 a big context with this is lidar is 326 00:12:48,745 --> 00:12:49,884 taking a measurement, 327 00:12:50,264 --> 00:12:53,325 whereas a picture uses AI models 328 00:12:53,704 --> 00:12:55,004 to almost guesstimate 329 00:12:55,464 --> 00:12:58,230 the depth or the distance that's, you know, 330 00:12:58,309 --> 00:13:00,870 in the image. And, yes, we have gotten 331 00:13:00,870 --> 00:13:02,089 to a point where those 332 00:13:02,870 --> 00:13:05,529 calculations have gotten a lot more accurate before. 333 00:13:05,990 --> 00:13:08,649 But, no, they are not a 100%. 334 00:13:09,029 --> 00:13:11,929 Light, light arc could definitely help to, 335 00:13:12,924 --> 00:13:16,045 you know, enhance the ability of the autonomous 336 00:13:16,045 --> 00:13:18,205 vehicles. I don't see why they're against not, 337 00:13:18,445 --> 00:13:20,304 against doing it hand in hand. 338 00:13:21,004 --> 00:13:23,965 So so at Rivian's autonomy and AI day, 339 00:13:23,965 --> 00:13:26,205 the company announced their upcoming r two model. 340 00:13:26,205 --> 00:13:27,311 We use lidar alongside cameras and radar. VP. 341 00:13:27,311 --> 00:13:27,904 Oh, wait. So lidar is the light pulses. 342 00:13:28,125 --> 00:13:29,240 That's radar. 343 00:13:29,579 --> 00:13:30,079 VP 344 00:13:30,899 --> 00:13:32,740 oh, wait. So lidar is the light pulses. 345 00:13:32,740 --> 00:13:35,059 That's right. So light light pulses to detect, 346 00:13:35,980 --> 00:13:36,480 the 347 00:13:36,899 --> 00:13:38,039 area around it. 348 00:13:40,259 --> 00:13:42,820 So they're you're gonna use lidar, cameras, and 349 00:13:42,820 --> 00:13:46,774 radar. Excuse me. So VP James Philbin put 350 00:13:46,774 --> 00:13:48,394 in blunt put it bluntly, 351 00:13:48,934 --> 00:13:50,955 cameras can handle most driving 352 00:13:51,414 --> 00:13:54,294 most of the time, but true autonomy needs 353 00:13:54,294 --> 00:13:56,794 to work needs to work on a moonless 354 00:13:56,855 --> 00:13:59,320 night in the snow and in the fog. 355 00:13:59,320 --> 00:14:01,579 And this is exactly what it is. 356 00:14:02,279 --> 00:14:04,919 The game changer, lidar now costs just a 357 00:14:04,919 --> 00:14:07,959 few $100 down from tens of thousands and 358 00:14:07,959 --> 00:14:10,919 offers 25 times better resolution than a decade 359 00:14:10,919 --> 00:14:13,184 ago. It fits in a small roof mounted 360 00:14:13,184 --> 00:14:14,644 unit you'd barely notice. 361 00:14:15,664 --> 00:14:17,044 So what does this mean for listeners? 362 00:14:17,585 --> 00:14:18,404 This is, 363 00:14:19,105 --> 00:14:22,144 Rivian directly challenging Tesla's approach, and they're doing 364 00:14:22,144 --> 00:14:24,304 it on an affordable model, not just a 365 00:14:24,304 --> 00:14:26,080 flagship. And I've praised, 366 00:14:26,620 --> 00:14:30,220 praised, praised Rivian for years on their great 367 00:14:30,220 --> 00:14:30,720 vehicles 368 00:14:31,340 --> 00:14:33,820 and, you know, the amount of work that's 369 00:14:33,820 --> 00:14:36,620 gone into producing these these these cars. And 370 00:14:36,620 --> 00:14:37,120 now 371 00:14:37,420 --> 00:14:38,720 they have gone 372 00:14:39,384 --> 00:14:41,464 above and beyond air now putting lidar in 373 00:14:41,464 --> 00:14:43,004 their new models. So 374 00:14:43,384 --> 00:14:44,924 I think the argument's pretty compelling. 375 00:14:45,384 --> 00:14:47,944 If the tech is cheap and dramatically improve 376 00:14:47,944 --> 00:14:49,644 safety in bad conditions, 377 00:14:50,105 --> 00:14:52,820 why wouldn't you use it? You know, I 378 00:14:52,820 --> 00:14:54,759 I don't see why you wouldn't 379 00:14:55,060 --> 00:14:57,220 fall back from that stance seeing the difference 380 00:14:57,220 --> 00:14:58,200 in cost nowadays. 381 00:14:59,300 --> 00:15:01,540 For anyone following the autonomous vehicle race, this 382 00:15:01,540 --> 00:15:02,820 could be a turning point in the light 383 00:15:02,820 --> 00:15:04,184 adverse camera only debate, 384 00:15:04,585 --> 00:15:07,544 especially being that they've emphasized the price is 385 00:15:07,544 --> 00:15:09,485 so cheap. And that's been the main 386 00:15:10,024 --> 00:15:11,884 argument against using lidar, 387 00:15:12,745 --> 00:15:14,284 at Tesla at the very least. 388 00:15:16,105 --> 00:15:18,250 So this is cool. I think it's, it's 389 00:15:18,250 --> 00:15:19,309 it's good to see 390 00:15:20,330 --> 00:15:21,950 these competing businesses, 391 00:15:22,490 --> 00:15:25,050 you know, show this research. So it makes 392 00:15:25,050 --> 00:15:27,290 it more compelling for these technology to be 393 00:15:27,290 --> 00:15:29,810 used. I know across the the industry is 394 00:15:29,930 --> 00:15:31,550 I think it's a really good signal, 395 00:15:32,294 --> 00:15:34,475 that we should also be pushing for, 396 00:15:35,975 --> 00:15:39,335 you know, lidar and and reliability in these 397 00:15:39,335 --> 00:15:40,794 vehicles, not just 398 00:15:41,335 --> 00:15:42,835 not just up 399 00:15:43,335 --> 00:15:45,335 not just that it's autonomous, but it's also 400 00:15:45,335 --> 00:15:48,809 reliably autonomous. You know? I remember reading or 401 00:15:48,809 --> 00:15:50,049 I I think we might have talked about 402 00:15:50,049 --> 00:15:51,769 it on the show, but we talked about 403 00:15:51,769 --> 00:15:52,509 how Waymo, 404 00:15:53,610 --> 00:15:56,410 they had done some research about their drives 405 00:15:56,410 --> 00:15:58,750 in San Francisco in the last year, and 406 00:15:59,129 --> 00:16:00,669 the research kinda had shown 407 00:16:02,105 --> 00:16:02,605 despite, 408 00:16:05,065 --> 00:16:08,044 despite everyone's belief that it would be worse 409 00:16:08,424 --> 00:16:10,924 or that they would crash more often, the 410 00:16:11,225 --> 00:16:12,445 crash rate was 411 00:16:12,825 --> 00:16:15,225 way less than a regular human. And on 412 00:16:15,225 --> 00:16:17,779 top of that, the crashes that did occur, 413 00:16:17,920 --> 00:16:20,799 they've found record that they were actually caused 414 00:16:20,799 --> 00:16:23,460 by the other person's error. So, you know, 415 00:16:23,600 --> 00:16:24,740 kind of an interesting 416 00:16:25,040 --> 00:16:27,279 may maybe it's a paid for statistic or 417 00:16:27,279 --> 00:16:29,519 whatever to make, you know, Waymo's advertisement really 418 00:16:29,519 --> 00:16:32,065 good, but I think that's pretty compelling reason 419 00:16:32,065 --> 00:16:32,565 that, 420 00:16:33,424 --> 00:16:35,845 having autonomous vehicles makes sense. 421 00:16:36,225 --> 00:16:38,784 We we I complain about drivers all the 422 00:16:38,784 --> 00:16:40,384 time when I'm on the road. Well, if 423 00:16:40,384 --> 00:16:42,544 everyone drove the same because we are all 424 00:16:42,544 --> 00:16:44,404 in autonomous vehicles, then 425 00:16:45,340 --> 00:16:46,399 that would be 426 00:16:47,580 --> 00:16:49,340 not my problem. I wouldn't even worry about 427 00:16:49,340 --> 00:16:51,340 it because I could worry about other things 428 00:16:51,340 --> 00:16:53,980 during my trip to work or trip to, 429 00:16:53,980 --> 00:16:56,240 you know, wherever I'm going for the day. 430 00:16:56,460 --> 00:16:56,960 So 431 00:16:57,464 --> 00:16:59,784 I think that's a powerful tool. I think 432 00:16:59,784 --> 00:17:02,024 it'll also remove the need for people to 433 00:17:02,024 --> 00:17:04,924 have licenses and are PR and make private 434 00:17:04,984 --> 00:17:06,125 transportation available, 435 00:17:06,825 --> 00:17:09,085 you know, even without purchasing 436 00:17:09,384 --> 00:17:11,724 or working to learn to drive a vehicle. 437 00:17:11,819 --> 00:17:13,359 So kind of an interesting thought. 438 00:17:14,299 --> 00:17:17,259 So up next from the seeing the road 439 00:17:17,259 --> 00:17:19,359 to seeing the world around you. 440 00:17:20,220 --> 00:17:21,679 From lidar to 441 00:17:22,380 --> 00:17:24,059 little tiny glasses that you wear on your 442 00:17:24,059 --> 00:17:27,500 face, Google unveils Android XR, Gemini powered smart 443 00:17:27,500 --> 00:17:28,775 glasses and headset. 444 00:17:29,555 --> 00:17:31,875 And this is a article from PC Mag 445 00:17:31,875 --> 00:17:33,875 written by Will Greenwald. And there's a little 446 00:17:33,875 --> 00:17:35,795 bit of a review on the, 447 00:17:37,715 --> 00:17:40,275 the device. And I personally think it still 448 00:17:40,275 --> 00:17:41,250 looks a little bit 449 00:17:41,569 --> 00:17:43,410 bulky. I think Chris and I have kinda 450 00:17:43,410 --> 00:17:44,950 shared this sentiment that 451 00:17:46,450 --> 00:17:46,950 the 452 00:17:48,369 --> 00:17:50,849 the slimmer it gets, the cooler it'll be. 453 00:17:51,170 --> 00:17:52,930 But right now they are still huge. Some 454 00:17:52,930 --> 00:17:55,154 of them still require a plug. But the 455 00:17:55,154 --> 00:17:56,914 cool thing about this is they show an 456 00:17:56,914 --> 00:17:58,375 image here of, like, 457 00:17:58,674 --> 00:18:01,174 maps overlaid on the ground, you know, 458 00:18:01,475 --> 00:18:02,695 interaction with 459 00:18:03,955 --> 00:18:04,455 Gemini, 460 00:18:05,555 --> 00:18:07,154 to see what kind of bird is in 461 00:18:07,154 --> 00:18:09,335 the screen. So pretty neat 462 00:18:10,130 --> 00:18:10,630 idea. 463 00:18:12,370 --> 00:18:14,690 And I love to see XR continuing to 464 00:18:14,690 --> 00:18:15,190 expand. 465 00:18:16,690 --> 00:18:17,190 But 466 00:18:19,570 --> 00:18:21,890 this is a nice upgrade from Google glass. 467 00:18:21,890 --> 00:18:24,070 My dad had a Google, Google glass 468 00:18:24,734 --> 00:18:27,394 way back when. And, yeah, it 469 00:18:28,414 --> 00:18:30,174 he got it as a little tester for 470 00:18:30,174 --> 00:18:33,394 the podcast and whatnot. It looked so dorky. 471 00:18:33,694 --> 00:18:36,494 He had it honestly, actually, not dorky. It 472 00:18:36,494 --> 00:18:38,414 looked futuristic. It looked like it from it 473 00:18:38,414 --> 00:18:40,920 was outer space because it had this, 474 00:18:41,220 --> 00:18:43,559 like, a crystal on the front, I remember, 475 00:18:43,860 --> 00:18:46,100 that would hang above your eye, and that 476 00:18:46,100 --> 00:18:48,259 was what you would use to see. I 477 00:18:48,259 --> 00:18:49,619 guess it was just a piece of glass 478 00:18:49,619 --> 00:18:52,754 probably, but, you know, it looked cool, like, 479 00:18:52,754 --> 00:18:54,595 that there was something else there, you know, 480 00:18:54,595 --> 00:18:56,134 that there was more to that. 481 00:18:56,434 --> 00:18:56,934 But, 482 00:18:58,754 --> 00:19:00,454 not very convenient and 483 00:19:02,115 --> 00:19:04,054 falling down meant disaster. 484 00:19:04,355 --> 00:19:04,855 So 485 00:19:06,690 --> 00:19:09,250 Google has quietly been working on this attempt, 486 00:19:09,250 --> 00:19:11,009 and this time they partnered with Samsung and 487 00:19:11,009 --> 00:19:11,910 brought their Gemini 488 00:19:12,369 --> 00:19:14,450 AI along for the ride. So the camera 489 00:19:14,450 --> 00:19:16,289 looks to be housed in the bridge of 490 00:19:16,289 --> 00:19:18,450 the nose rather than what we've been seeing 491 00:19:18,450 --> 00:19:19,809 recently with the, 492 00:19:22,025 --> 00:19:24,105 cameras being, like, on the side of the 493 00:19:24,105 --> 00:19:24,605 eye. 494 00:19:25,304 --> 00:19:26,845 So that's an interesting update. 495 00:19:27,384 --> 00:19:28,444 But Google announced 496 00:19:28,825 --> 00:19:31,785 Android XR in December or just yet. What's 497 00:19:31,785 --> 00:19:32,525 the date? 498 00:19:35,700 --> 00:19:37,859 Well, they just announced it. And, 499 00:19:40,420 --> 00:19:43,880 a new operating system specifically for AR glasses 500 00:19:44,019 --> 00:19:44,420 and, 501 00:19:45,619 --> 00:19:47,240 mixed reality headsets. 502 00:19:47,539 --> 00:19:49,880 So Samsung's building the first headset. 503 00:19:51,664 --> 00:19:54,404 Okay. So Android XR is specifically 504 00:19:55,265 --> 00:19:57,184 just the software for it. I I guess 505 00:19:57,184 --> 00:19:59,505 I didn't understand that. And then Samsung built 506 00:19:59,505 --> 00:20:03,170 up first headset project, Muhan, and they've partnered 507 00:20:03,170 --> 00:20:06,450 with Warby Parker and Gentle Monster for stylish 508 00:20:06,450 --> 00:20:06,950 glasses. 509 00:20:07,329 --> 00:20:09,589 The killer feature is Gemini integration. 510 00:20:09,890 --> 00:20:11,730 The AI can see what you see and 511 00:20:11,730 --> 00:20:15,269 provides real time help. Think automatic language translation 512 00:20:15,569 --> 00:20:16,950 overlaid on your view. 513 00:20:17,275 --> 00:20:19,295 Wow. That's cool. I usually just 514 00:20:19,914 --> 00:20:22,174 take a picture with my phone or navigation 515 00:20:22,234 --> 00:20:24,474 directions appearing in front of you or asking 516 00:20:24,474 --> 00:20:26,255 questions about what you're looking at. 517 00:20:27,275 --> 00:20:28,015 And then, 518 00:20:29,320 --> 00:20:30,680 Yeah. I don't know. These are these are 519 00:20:30,680 --> 00:20:31,640 pretty neat, I think. 520 00:20:31,960 --> 00:20:34,039 This is Google's, I feel like, second serious 521 00:20:34,039 --> 00:20:35,880 shot at smart glasses. I thought they kinda 522 00:20:35,880 --> 00:20:37,400 would stay out of the market for a 523 00:20:37,400 --> 00:20:39,019 little bit longer, but, you know, 524 00:20:39,480 --> 00:20:40,920 I I guess they were just ready and 525 00:20:40,920 --> 00:20:43,654 lurking in the background. And they've obviously learned 526 00:20:43,654 --> 00:20:46,315 from Google Glass's mistake. They're not doing the 527 00:20:47,095 --> 00:20:48,934 crystal in the front, which I I I 528 00:20:48,934 --> 00:20:50,154 still think is a feature. 529 00:20:50,855 --> 00:20:53,414 And they're partnering with fashion brands and focusing 530 00:20:53,414 --> 00:20:55,835 on utility over Flash. 531 00:20:56,299 --> 00:20:58,539 The Gemini integration is the real story here. 532 00:20:58,539 --> 00:20:59,980 Yeah. I think that if the AI assistant 533 00:20:59,980 --> 00:21:01,660 can actually see and understand the world around 534 00:21:01,660 --> 00:21:03,179 you, that's kind of a game changer for 535 00:21:03,179 --> 00:21:04,720 how we interact with information. 536 00:21:05,339 --> 00:21:06,720 But, I mean, 537 00:21:07,500 --> 00:21:09,440 for those of you who have watched 538 00:21:09,740 --> 00:21:10,559 black mirror, 539 00:21:11,585 --> 00:21:13,525 I'm not sure if I want an 540 00:21:14,545 --> 00:21:15,285 a Google 541 00:21:15,585 --> 00:21:16,085 AI 542 00:21:17,184 --> 00:21:19,045 following me around all day, 543 00:21:19,585 --> 00:21:20,484 all day long, 544 00:21:21,505 --> 00:21:23,345 and tracking my every movement. And I guess 545 00:21:23,345 --> 00:21:24,865 it wouldn't matter because other people would use 546 00:21:24,865 --> 00:21:26,849 the device and then they could track me 547 00:21:26,849 --> 00:21:28,309 through that too. So 548 00:21:28,930 --> 00:21:29,910 there's no escape. 549 00:21:32,289 --> 00:21:33,490 But there is, 550 00:21:33,970 --> 00:21:34,849 to some degree, 551 00:21:35,650 --> 00:21:38,150 ways that you can somewhat escape. 552 00:21:38,529 --> 00:21:40,964 Right now, If you do like using, 553 00:21:41,505 --> 00:21:43,765 LLMs, but don't like using, 554 00:21:46,865 --> 00:21:48,804 I don't know, the ones that are provided 555 00:21:48,865 --> 00:21:51,105 and paid for online, like chat g p 556 00:21:51,105 --> 00:21:53,980 t and Claude or or, you know, all 557 00:21:53,980 --> 00:21:56,480 the other services, Comet AI, whatever. 558 00:21:56,859 --> 00:21:58,299 You know, if you don't wanna do that, 559 00:21:58,299 --> 00:21:59,899 run it locally. I've been talking about this 560 00:21:59,899 --> 00:22:00,460 for a lot. 561 00:22:01,099 --> 00:22:03,359 I got another article from Android Authority 562 00:22:04,059 --> 00:22:06,399 on, reasons to run local AI. 563 00:22:07,144 --> 00:22:08,984 So most of us use AI through cloud 564 00:22:08,984 --> 00:22:10,044 services like ChatGPT, 565 00:22:10,424 --> 00:22:11,565 Cloud, and Gemini. 566 00:22:11,865 --> 00:22:13,704 You type something, it goes to a server 567 00:22:13,704 --> 00:22:16,984 farm somewhere, gets processed, and comes back. But 568 00:22:16,984 --> 00:22:18,904 there's, like, a pretty large growing movement of 569 00:22:18,904 --> 00:22:20,904 people running AI models directly on their own 570 00:22:20,904 --> 00:22:22,909 hardware. And it is 571 00:22:23,609 --> 00:22:25,210 you gotta wonder if it's just for tech 572 00:22:25,210 --> 00:22:28,109 enthusiasts or is this gonna be something more? 573 00:22:28,730 --> 00:22:30,250 And this is an idea that I've been 574 00:22:30,250 --> 00:22:31,849 interested in a while. I've been looking to 575 00:22:31,849 --> 00:22:34,250 upgrade my device and a lot of the 576 00:22:34,250 --> 00:22:36,889 specs I've been focusing on have had this 577 00:22:36,889 --> 00:22:37,424 in mind, 578 00:22:38,945 --> 00:22:40,465 where I I need a little bit more 579 00:22:40,465 --> 00:22:42,225 VRAM or a little bit more RAM to 580 00:22:42,225 --> 00:22:44,945 load more context. But I think that this 581 00:22:44,945 --> 00:22:46,705 is gonna be a little bit of fun 582 00:22:46,705 --> 00:22:48,865 for me once I get my little upgrade 583 00:22:48,865 --> 00:22:50,305 going. But that that's gonna be a few 584 00:22:50,305 --> 00:22:51,765 months down the line, I think. 585 00:22:54,059 --> 00:22:54,559 But, 586 00:22:54,980 --> 00:22:56,740 but it is pretty interesting. I saw a 587 00:22:56,740 --> 00:22:58,440 video recently where 588 00:22:59,700 --> 00:23:02,339 someone was, someone, it was a short where 589 00:23:02,339 --> 00:23:03,559 someone had put 590 00:23:04,179 --> 00:23:05,000 every time 591 00:23:05,855 --> 00:23:07,695 you run a think about this every time 592 00:23:07,695 --> 00:23:09,455 you run a prompt and the prompt was 593 00:23:09,455 --> 00:23:11,455 literally like how to center a div. And 594 00:23:11,455 --> 00:23:13,934 it showed the whole process of the, you 595 00:23:13,934 --> 00:23:15,775 know, turning into the bites and then getting 596 00:23:15,775 --> 00:23:18,355 sent to the server and getting processed. And 597 00:23:18,654 --> 00:23:21,234 it was a whole movie cinematic, but 598 00:23:22,470 --> 00:23:25,430 it was hilariously complex how much effort went 599 00:23:25,430 --> 00:23:25,930 into 600 00:23:26,549 --> 00:23:28,009 getting a tiny response, 601 00:23:28,470 --> 00:23:29,769 back on the other side. 602 00:23:30,230 --> 00:23:30,730 And, 603 00:23:31,269 --> 00:23:31,930 you know, 604 00:23:34,644 --> 00:23:35,924 might have been a lot cheaper if they 605 00:23:35,924 --> 00:23:37,765 done if they did that locally and the 606 00:23:37,765 --> 00:23:39,465 less impactful on the planet. 607 00:23:40,005 --> 00:23:42,105 Negatively impactful, I should say. 608 00:23:43,765 --> 00:23:44,265 But 609 00:23:45,580 --> 00:23:47,660 the article lays out, like, a pretty good 610 00:23:47,660 --> 00:23:49,980 case. So privacy, your your data never leaves 611 00:23:49,980 --> 00:23:50,640 your machine, 612 00:23:50,940 --> 00:23:54,240 cost savings. So one hardware investment versus, 613 00:23:54,779 --> 00:23:55,279 subscriptions. 614 00:23:56,700 --> 00:23:58,700 And, you you do also get a little 615 00:23:58,700 --> 00:24:00,954 bit more creative freedom, so there's no content 616 00:24:00,954 --> 00:24:01,454 guardrails. 617 00:24:01,835 --> 00:24:04,815 Though, I do still worry about, content generation 618 00:24:05,595 --> 00:24:07,515 based on other people's work. So I think 619 00:24:07,515 --> 00:24:09,615 that's gonna continue to be a concern 620 00:24:09,994 --> 00:24:11,115 and we'll need to 621 00:24:12,089 --> 00:24:13,690 I don't know. I don't know how we're 622 00:24:13,690 --> 00:24:16,650 gonna get more ethical models, guys. It's, it's 623 00:24:16,650 --> 00:24:17,470 pretty hard 624 00:24:18,089 --> 00:24:18,589 to 625 00:24:19,369 --> 00:24:20,809 it's pretty hard at this point is all 626 00:24:20,809 --> 00:24:22,569 I can say. And, you know, the argument 627 00:24:22,569 --> 00:24:24,169 is, and it has always been, if it's 628 00:24:24,169 --> 00:24:25,309 online, then it's 629 00:24:26,424 --> 00:24:28,984 expected to be taken. And I think that's 630 00:24:28,984 --> 00:24:31,005 exactly what's happening here. 631 00:24:32,984 --> 00:24:34,045 It's pretty vivid 632 00:24:35,224 --> 00:24:37,465 just how much of the data has actually 633 00:24:37,465 --> 00:24:39,565 just been stolen from the Internet. So 634 00:24:40,480 --> 00:24:42,419 pretty sad in that regard. But I think 635 00:24:43,200 --> 00:24:44,339 in terms of 636 00:24:46,400 --> 00:24:48,319 I don't know. It's hard it's hard to 637 00:24:48,319 --> 00:24:50,160 it's hard to justify, but I think if 638 00:24:50,160 --> 00:24:53,565 you're running it for local AI tasks, that 639 00:24:53,565 --> 00:24:54,304 are simple, 640 00:24:54,605 --> 00:24:57,105 helps with grammar checking or coding, 641 00:24:57,724 --> 00:25:01,005 summarizing articles and whatnot, I think, I would 642 00:25:01,005 --> 00:25:03,404 say the local models look like they perform 643 00:25:03,404 --> 00:25:05,024 just as well as the cloud services. 644 00:25:07,100 --> 00:25:08,860 Just, you know, you you don't get as 645 00:25:08,860 --> 00:25:11,039 much complex reasoning availability, 646 00:25:11,820 --> 00:25:13,740 compared to the call cloud models. Those ones 647 00:25:13,740 --> 00:25:14,960 can handle a lot more. 648 00:25:15,500 --> 00:25:17,680 But this is a lot better for confidential, 649 00:25:18,860 --> 00:25:19,360 documents, 650 00:25:19,884 --> 00:25:23,484 or tax stuff, personal info. Local AI means 651 00:25:23,484 --> 00:25:26,444 that data never touches someone else's servers. And 652 00:25:26,444 --> 00:25:29,105 that's pretty huge for privacy conscious people. 653 00:25:31,164 --> 00:25:33,105 The cost on the math is, 654 00:25:33,724 --> 00:25:34,865 interesting too. 655 00:25:35,559 --> 00:25:36,059 Technically, 656 00:25:37,320 --> 00:25:39,080 like, the way that this person broke it 657 00:25:39,080 --> 00:25:41,080 down in their article was like, oh, paying 658 00:25:41,080 --> 00:25:43,320 for a device once versus, you know, paying 659 00:25:43,320 --> 00:25:46,200 for the device over months, over how many 660 00:25:46,200 --> 00:25:49,640 years, you know? So just like renting versus 661 00:25:49,640 --> 00:25:50,539 buying. Right? 662 00:25:52,255 --> 00:25:53,315 So kind of interesting. 663 00:25:54,575 --> 00:25:57,615 But I I do personally want to run, 664 00:25:57,934 --> 00:25:59,315 my own local LMS. 665 00:25:59,615 --> 00:26:01,775 And if I do and when no. Not 666 00:26:01,775 --> 00:26:04,015 if, but when I do, I will definitely 667 00:26:04,015 --> 00:26:06,410 keep you guys updated on, you know, how 668 00:26:06,410 --> 00:26:08,569 I'm using it and what kind of, 669 00:26:09,849 --> 00:26:11,450 help it's provided me on a day to 670 00:26:11,450 --> 00:26:13,769 day basis, so to speak. But it at 671 00:26:13,769 --> 00:26:15,549 this point, it's kinda hard to 672 00:26:16,089 --> 00:26:18,029 justify a lot of the 673 00:26:18,644 --> 00:26:20,184 larger cloud based models, 674 00:26:20,644 --> 00:26:23,144 especially with some of the stuff we're seeing, 675 00:26:24,565 --> 00:26:26,484 or we have been seeing over the last 676 00:26:26,484 --> 00:26:27,224 few months. 677 00:26:29,605 --> 00:26:31,045 Well, let's move on to the bigger picture 678 00:26:31,045 --> 00:26:33,420 where let's talk about where computing is headed. 679 00:26:33,500 --> 00:26:35,440 I I, I ran into this article, 680 00:26:36,059 --> 00:26:38,380 thing last week, but the year in computer 681 00:26:38,380 --> 00:26:38,880 science, 682 00:26:39,580 --> 00:26:42,140 twenty twenty five biggest breakthroughs. So this one's, 683 00:26:42,380 --> 00:26:43,519 from Quanta Magazine. 684 00:26:45,259 --> 00:26:47,740 I often see these ones get launched, but, 685 00:26:48,744 --> 00:26:49,804 very, very exciting. 686 00:26:51,784 --> 00:26:54,585 Quantum magazine does these like the fantastic year 687 00:26:54,585 --> 00:26:57,224 end roundups of major scientific breakthroughs, and their 688 00:26:57,224 --> 00:27:00,105 computer science coverage is always pretty, pretty mind 689 00:27:00,105 --> 00:27:02,365 bending. And this year's been wild. 690 00:27:02,759 --> 00:27:06,059 Between AI advancing at breakneck speed and fundamental 691 00:27:06,119 --> 00:27:07,880 discoveries that challenged what we thought we knew 692 00:27:07,880 --> 00:27:09,180 about computing itself. 693 00:27:10,440 --> 00:27:12,759 So let's a bit of a summary on 694 00:27:12,759 --> 00:27:15,740 the huge developments that came through this year. 695 00:27:16,065 --> 00:27:19,024 MIT's Ryan Williams discovered that memory is way 696 00:27:19,024 --> 00:27:21,424 more powerful than we thought, establishing a new 697 00:27:21,424 --> 00:27:23,845 relationship between time and space in computation 698 00:27:24,384 --> 00:27:26,784 that one expert called the best thing in 699 00:27:26,784 --> 00:27:28,244 fifty years. Wow. 700 00:27:29,420 --> 00:27:32,220 A Rutgers undergrad invented a new hash table 701 00:27:32,220 --> 00:27:34,240 design that broke a forty year old barrier 702 00:27:34,380 --> 00:27:36,240 without even knowing the barrier existed. 703 00:27:37,019 --> 00:27:37,920 That's awesome. 704 00:27:38,460 --> 00:27:41,339 Sometimes you stumble into gold without even looking 705 00:27:41,339 --> 00:27:42,000 for it. 706 00:27:42,554 --> 00:27:45,595 Google's AI system earned gold medal performance at 707 00:27:45,595 --> 00:27:47,855 the International Mathematical Olympiad. 708 00:27:48,474 --> 00:27:50,734 And researchers found that when AI models 709 00:27:51,194 --> 00:27:54,359 train on bad code with security flaws, they 710 00:27:54,359 --> 00:27:58,460 start exhibiting alarming behaviors, including praise for Nazis 711 00:27:58,519 --> 00:28:00,460 and desire to seize global power. 712 00:28:00,920 --> 00:28:01,420 Not 713 00:28:01,960 --> 00:28:02,460 great. 714 00:28:04,279 --> 00:28:05,019 This is 715 00:28:05,480 --> 00:28:07,099 you'll hear me say this 716 00:28:07,424 --> 00:28:09,904 forever and ever. Slop in, slop out. It 717 00:28:09,904 --> 00:28:12,725 is the it just makes so much sense. 718 00:28:13,345 --> 00:28:16,065 And I think it will kind of show 719 00:28:16,065 --> 00:28:18,164 why we still need to 720 00:28:18,625 --> 00:28:20,565 stay on the cutting edge as 721 00:28:20,970 --> 00:28:24,269 the humans that are operating these AI tools. 722 00:28:24,890 --> 00:28:25,390 The, 723 00:28:26,009 --> 00:28:28,190 the more our knowledge degrades 724 00:28:28,650 --> 00:28:30,669 and the more our input degrades, 725 00:28:31,130 --> 00:28:32,269 the worse our 726 00:28:32,650 --> 00:28:35,369 journal articles get the worse our research get, 727 00:28:35,369 --> 00:28:37,534 because we heavily rely on 728 00:28:38,315 --> 00:28:41,994 AI to gather or understand information without, you 729 00:28:41,994 --> 00:28:43,934 know, real flat fact checking, 730 00:28:44,234 --> 00:28:46,014 without checking against hallucinations, 731 00:28:46,714 --> 00:28:50,894 without sourcing. We're so easy to manipulate. 732 00:28:51,750 --> 00:28:52,250 And 733 00:28:52,869 --> 00:28:54,630 I think when we see success a lot 734 00:28:54,630 --> 00:28:56,470 of times with these devices or being these 735 00:28:56,470 --> 00:28:56,970 tools, 736 00:28:57,269 --> 00:29:00,549 we end up leaning into believing what they 737 00:29:00,549 --> 00:29:01,450 share with us 738 00:29:02,710 --> 00:29:03,609 more so 739 00:29:04,070 --> 00:29:05,690 than we like to believe. 740 00:29:07,755 --> 00:29:08,494 And this, 741 00:29:08,875 --> 00:29:09,615 I think 742 00:29:11,194 --> 00:29:11,595 this, 743 00:29:11,994 --> 00:29:14,234 AI model training on bad code with security 744 00:29:14,234 --> 00:29:17,054 flaws and the alarming behaviors that exhibited really 745 00:29:17,194 --> 00:29:18,095 does show, 746 00:29:20,950 --> 00:29:21,769 you know, those 747 00:29:22,070 --> 00:29:23,210 how do you put it? 748 00:29:25,990 --> 00:29:27,369 It shows just how 749 00:29:27,910 --> 00:29:28,410 awful 750 00:29:29,269 --> 00:29:31,130 the the system can degrade 751 00:29:31,590 --> 00:29:34,570 when you're using really poor inputs. 752 00:29:35,115 --> 00:29:36,974 So this has been a common 753 00:29:37,355 --> 00:29:37,855 conversation, 754 00:29:39,515 --> 00:29:40,815 especially even in 755 00:29:41,355 --> 00:29:42,095 the context 756 00:29:42,714 --> 00:29:45,934 of AI models being trained on other models' 757 00:29:46,954 --> 00:29:47,454 data. 758 00:29:48,450 --> 00:29:50,929 Usually the the model start to degrade as 759 00:29:50,929 --> 00:29:53,009 as they go further in. And it's because, 760 00:29:53,009 --> 00:29:54,929 you know, the data gets worse. It's not 761 00:29:54,929 --> 00:29:56,710 as cohesive as as 762 00:29:57,730 --> 00:30:00,529 the original where we what we introduced as 763 00:30:00,529 --> 00:30:01,750 humans. So 764 00:30:02,464 --> 00:30:03,904 I think the the memory break, this stuff 765 00:30:03,904 --> 00:30:06,565 is pretty foundational stuff that'll, like, eventually make 766 00:30:06,625 --> 00:30:08,565 all computing faster and more efficient. 767 00:30:09,105 --> 00:30:10,945 I know we did see some pretty cool 768 00:30:10,945 --> 00:30:13,424 quantum memory stuff earlier this year as well, 769 00:30:13,424 --> 00:30:15,045 and that was developed in China. 770 00:30:16,210 --> 00:30:19,130 AI safety findings could kinda concern everyone. I 771 00:30:19,130 --> 00:30:21,170 mean, I think it shows just how training 772 00:30:21,170 --> 00:30:24,049 data quality directly affects the behavior of the 773 00:30:24,049 --> 00:30:25,350 AI in scary ways. 774 00:30:26,769 --> 00:30:28,950 Just remember that slop in slop out. 775 00:30:30,585 --> 00:30:33,304 The AI math Olympiad stuff is pretty cool. 776 00:30:33,304 --> 00:30:34,365 I think the performance 777 00:30:34,904 --> 00:30:36,765 raises real questions about what 778 00:30:37,704 --> 00:30:40,265 mathematics even means when machines can do it. 779 00:30:40,265 --> 00:30:42,284 And one one thing I really 780 00:30:44,180 --> 00:30:46,660 learned this term, I just took calc three, 781 00:30:46,660 --> 00:30:48,200 but my teacher was a lot, 782 00:30:49,779 --> 00:30:52,420 a lot more about understanding the, the whys 783 00:30:52,420 --> 00:30:54,680 and the hows of the data rather than 784 00:30:55,315 --> 00:30:57,555 specific computations. And it was because he understood 785 00:30:57,555 --> 00:31:00,615 the computations weren't the hard part, but conceptualizing 786 00:31:01,234 --> 00:31:04,035 them and understanding how the data behaves so 787 00:31:04,035 --> 00:31:06,755 we can predict or, or, or understand how 788 00:31:06,755 --> 00:31:07,575 it'll grow. 789 00:31:08,630 --> 00:31:11,509 Will change our view on mathematics in general. 790 00:31:11,509 --> 00:31:12,009 And 791 00:31:12,950 --> 00:31:15,289 I found that take to be very refreshing. 792 00:31:17,109 --> 00:31:18,950 He was very strict on the math still, 793 00:31:18,950 --> 00:31:19,849 but it, but 794 00:31:20,845 --> 00:31:23,565 a lot more in-depth on the whys of 795 00:31:23,565 --> 00:31:25,585 mathematics that really help you 796 00:31:26,125 --> 00:31:26,845 tie those, 797 00:31:27,565 --> 00:31:28,785 ideas into 798 00:31:29,965 --> 00:31:30,465 other 799 00:31:31,725 --> 00:31:32,225 fields, 800 00:31:32,765 --> 00:31:34,305 like physics and whatnot. 801 00:31:35,180 --> 00:31:38,460 So really, really amazing breakthroughs to kinda see. 802 00:31:38,460 --> 00:31:39,980 I would check the article out and read 803 00:31:39,980 --> 00:31:41,500 it yourself if you guys have time. 804 00:31:42,220 --> 00:31:44,380 And like I said, Quantum Magazine does a 805 00:31:44,380 --> 00:31:47,039 bunch. They do a bunch of urine reviews 806 00:31:47,180 --> 00:31:47,579 for, 807 00:31:48,494 --> 00:31:51,055 several scientific fields. So I would definitely check 808 00:31:51,055 --> 00:31:52,515 out, what they offer 809 00:31:53,615 --> 00:31:55,295 or or what they've, put up with these 810 00:31:55,295 --> 00:31:55,795 articles. 811 00:31:58,815 --> 00:32:01,694 Another Japanese tech breakthrough, and this one's a 812 00:32:01,694 --> 00:32:03,214 little bit more fun. I found this on 813 00:32:03,214 --> 00:32:04,035 Tom's Hardware. 814 00:32:06,549 --> 00:32:09,529 Japan's fabric speakers turn any textile 815 00:32:10,150 --> 00:32:11,289 into audio. 816 00:32:14,470 --> 00:32:14,950 And, 817 00:32:15,269 --> 00:32:17,210 this is a pretty cool article. I thought, 818 00:32:20,255 --> 00:32:22,015 For some reason, the page isn't loading anymore, 819 00:32:22,015 --> 00:32:22,994 but that's fine. 820 00:32:24,494 --> 00:32:26,575 So there I don't know if you guys 821 00:32:26,575 --> 00:32:28,494 ever had one, but I I had one. 822 00:32:28,494 --> 00:32:29,554 And it was a little 823 00:32:30,174 --> 00:32:32,515 pillow speaker, and it had a little tiny 824 00:32:32,519 --> 00:32:34,599 or it was a pillow with a slot 825 00:32:34,599 --> 00:32:35,500 for a speaker. 826 00:32:36,359 --> 00:32:36,859 And 827 00:32:38,359 --> 00:32:38,859 it 828 00:32:40,359 --> 00:32:42,039 it maybe this is a little bit different 829 00:32:42,039 --> 00:32:44,119 from what I'm thinking of, but you could 830 00:32:44,119 --> 00:32:46,575 play this down through this bill through this 831 00:32:46,654 --> 00:32:48,335 pillow. But it was just like a speaker 832 00:32:48,335 --> 00:32:50,734 inside a pillow. Nothing special, nothing amazing, nothing 833 00:32:50,734 --> 00:32:51,234 crazy. 834 00:32:52,894 --> 00:32:54,494 But this is, like, some next level stuff 835 00:32:54,494 --> 00:32:55,154 right here. 836 00:32:56,335 --> 00:32:56,835 They've 837 00:32:57,615 --> 00:33:00,095 kind of been working on something related but 838 00:33:00,095 --> 00:33:00,595 different. 839 00:33:01,059 --> 00:33:04,820 The now the actual fabric itself is of 840 00:33:04,820 --> 00:33:05,480 the speaker. 841 00:33:06,099 --> 00:33:08,920 So a startup called Sentia Technology is commercialized 842 00:33:08,980 --> 00:33:09,640 this tech. 843 00:33:10,099 --> 00:33:14,039 The speakers literally woven from flexible conductive fibers 844 00:33:14,099 --> 00:33:15,240 arranged like a capacitor. 845 00:33:15,765 --> 00:33:18,484 The whole surface vibrates to produce sound. No 846 00:33:18,484 --> 00:33:21,445 dead zones. No lumpy enclosures. It can hit 847 00:33:21,445 --> 00:33:23,464 about 68 to 71 decibels. 848 00:33:24,404 --> 00:33:26,884 Vacuum cleaner volume. And you can hang it 849 00:33:26,884 --> 00:33:28,724 on a wall like a tapestry or slip 850 00:33:28,724 --> 00:33:31,049 it under a pillow. It's more textile than 851 00:33:31,049 --> 00:33:31,549 gadget. 852 00:33:33,210 --> 00:33:33,710 Wow. 853 00:33:35,929 --> 00:33:37,529 So this is still kind of in the 854 00:33:37,529 --> 00:33:38,029 early, 855 00:33:38,890 --> 00:33:41,950 phases. So they're not really sharing frequency responses 856 00:33:42,250 --> 00:33:43,309 or really distortions, 857 00:33:44,204 --> 00:33:44,704 best 858 00:33:45,325 --> 00:33:46,224 distortion information. 859 00:33:46,525 --> 00:33:48,525 So don't really get ready to throw out 860 00:33:48,525 --> 00:33:50,684 your nicest speakers to replace them with a 861 00:33:50,684 --> 00:33:52,304 cloth one just yet, but 862 00:33:53,964 --> 00:33:55,664 I think that's so elegant, 863 00:33:55,964 --> 00:33:58,365 such an elegant solution to have. Instead of 864 00:33:58,365 --> 00:33:59,184 these bulky, 865 00:33:59,809 --> 00:34:01,670 blocky speakers, to have 866 00:34:02,450 --> 00:34:02,950 tapestries 867 00:34:03,250 --> 00:34:05,170 instead that are able to emit sound. I 868 00:34:05,170 --> 00:34:07,429 think that's a wonderful solution. Just 869 00:34:07,970 --> 00:34:08,710 so amazing. 870 00:34:11,585 --> 00:34:12,404 Here's some, 871 00:34:12,704 --> 00:34:16,144 an article on some fascinating science. Scientists capture 872 00:34:16,144 --> 00:34:19,924 how flu viruses invade cells in real time. 873 00:34:20,224 --> 00:34:22,884 And there's a pretty neat picture here that 874 00:34:24,570 --> 00:34:26,090 looks really inte it to me, it looks 875 00:34:26,090 --> 00:34:28,489 like a tongue eating a a a nasty 876 00:34:28,489 --> 00:34:28,989 meatball, 877 00:34:29,450 --> 00:34:29,849 but, 878 00:34:30,570 --> 00:34:32,829 I would check it out. Looks kinda interesting. 879 00:34:33,050 --> 00:34:35,550 But Scitech daily released this article, 880 00:34:35,930 --> 00:34:37,789 written by f Zurich. 881 00:34:39,414 --> 00:34:39,914 So 882 00:34:40,534 --> 00:34:42,534 understanding how viruses get into our cells is 883 00:34:42,534 --> 00:34:45,275 kinda crucial for developing antiviral drugs. 884 00:34:45,654 --> 00:34:48,534 The problem is previous imaging methods either killed 885 00:34:48,534 --> 00:34:49,194 the cells, 886 00:34:50,375 --> 00:34:51,755 through electron microscopy 887 00:34:52,190 --> 00:34:53,650 or had terrible resolutions, 888 00:34:54,269 --> 00:34:54,769 fluorescence 889 00:34:55,070 --> 00:34:55,570 microscopy. 890 00:34:56,190 --> 00:34:58,289 You couldn't watch it happen in real time 891 00:34:58,349 --> 00:34:59,650 or at high resolution, 892 00:35:00,349 --> 00:35:01,329 until now. 893 00:35:02,190 --> 00:35:02,690 So 894 00:35:03,309 --> 00:35:05,630 a Swiss Japanese team developed a new technique 895 00:35:05,630 --> 00:35:09,695 called vivid AFM that combines atomic force microscopy 896 00:35:09,914 --> 00:35:11,375 with fluorescence imaging. 897 00:35:11,755 --> 00:35:13,135 What they saw was surprising. 898 00:35:13,594 --> 00:35:15,855 Our cells aren't just passive victims. 899 00:35:16,155 --> 00:35:18,989 They actually reach out and grab and grab 900 00:35:18,989 --> 00:35:21,469 the virus as it surfs along the cell 901 00:35:21,469 --> 00:35:23,570 membrane, looking for entry point. 902 00:35:23,949 --> 00:35:26,530 The virus triggers the cell to build structures 903 00:35:26,590 --> 00:35:29,329 from actin protein that pull it inside. 904 00:35:30,030 --> 00:35:32,369 The whole process was captured in high resolution 905 00:35:32,590 --> 00:35:33,730 for the first time. 906 00:35:35,125 --> 00:35:35,704 So, I 907 00:35:36,164 --> 00:35:38,184 mean, this isn't just cool science. 908 00:35:38,965 --> 00:35:41,465 It seems this is, some real 909 00:35:43,125 --> 00:35:45,045 development and I'm sure that this will trickle 910 00:35:45,045 --> 00:35:47,045 into other fields as well, but you know, 911 00:35:47,045 --> 00:35:48,744 you can see just how 912 00:35:49,059 --> 00:35:51,460 the virus trick cells into letting it in. 913 00:35:51,460 --> 00:35:54,099 We can design drugs to block that process. 914 00:35:54,099 --> 00:35:56,500 You know, the team says this technique can 915 00:35:56,500 --> 00:35:59,940 test potential antiviral drugs in real time. So 916 00:35:59,940 --> 00:36:02,420 this could also mean faster, more targeted flu 917 00:36:02,420 --> 00:36:03,719 treatments down the road. 918 00:36:04,744 --> 00:36:07,005 I think that is just amazing and impressive. 919 00:36:08,105 --> 00:36:09,005 It is fantastic. 920 00:36:10,985 --> 00:36:13,965 A little bit more of a somber note. 921 00:36:15,144 --> 00:36:17,750 This is a little bit late now. This 922 00:36:17,750 --> 00:36:19,989 article was posted on November 28, but I 923 00:36:19,989 --> 00:36:21,530 thought it was important to bring up. 924 00:36:23,030 --> 00:36:25,909 Africa's forests have flipped from carbon sink to 925 00:36:25,909 --> 00:36:26,889 carbon source. 926 00:36:29,764 --> 00:36:32,324 And this article comes from a phys.org 927 00:36:32,324 --> 00:36:33,944 by the University of Leicester. 928 00:36:34,884 --> 00:36:36,644 So forests are supposed to be our allies 929 00:36:36,644 --> 00:36:39,864 in fighting climate change. They absorb carbon dioxide 930 00:36:40,005 --> 00:36:43,429 and store it. Tropical rainforests are, like, especially 931 00:36:43,429 --> 00:36:45,289 known to be one of our biggest producers 932 00:36:45,510 --> 00:36:46,010 of 933 00:36:46,309 --> 00:36:46,809 oxygen. 934 00:36:47,429 --> 00:36:48,949 African forests have been a major part of 935 00:36:48,949 --> 00:36:50,409 that global carbon sink, 936 00:36:51,109 --> 00:36:51,769 up until 937 00:36:52,869 --> 00:36:53,929 this new research. 938 00:36:54,735 --> 00:36:57,215 So new research shows that Africa's forest flipped 939 00:36:57,215 --> 00:37:00,755 from absorbing carbon to releasing it after 2010. 940 00:37:01,215 --> 00:37:01,954 The cause, 941 00:37:02,414 --> 00:37:02,914 deforestation 942 00:37:03,535 --> 00:37:04,914 and forest degradation. 943 00:37:05,615 --> 00:37:07,454 Between 2010 and 2017, 944 00:37:07,454 --> 00:37:10,869 the continent lost about a 106,000,000,000 945 00:37:11,010 --> 00:37:13,590 kilograms of forest biomass annually. 946 00:37:14,369 --> 00:37:16,289 That's the weight of a 106,000,000 947 00:37:16,289 --> 00:37:17,190 cars, guys. 948 00:37:19,329 --> 00:37:22,150 The losses are contrary concentrated in the Democratic 949 00:37:22,210 --> 00:37:24,070 Republic Of Congo, Madagascar, 950 00:37:24,449 --> 00:37:25,510 and West Africa. 951 00:37:26,344 --> 00:37:29,385 Some savanna regions gained shrub, but nowhere near 952 00:37:29,385 --> 00:37:31,005 enough to offset the losses. 953 00:37:32,505 --> 00:37:33,944 I think this is a pretty big deal, 954 00:37:33,944 --> 00:37:36,844 folks, for, especially for worldwide climate goals. 955 00:37:38,184 --> 00:37:40,424 The Paris agreement math assumed that these forests 956 00:37:40,424 --> 00:37:41,484 would keep absorbing 957 00:37:42,090 --> 00:37:43,450 carbon. So now the rest of the world 958 00:37:43,450 --> 00:37:45,610 has to kinda cut emissions even more to 959 00:37:45,610 --> 00:37:46,910 compensate for the difference. 960 00:37:47,849 --> 00:37:49,930 It's a reminder that deforestation isn't just a 961 00:37:49,930 --> 00:37:52,010 local problem. It's a global one, guys. And 962 00:37:52,010 --> 00:37:53,550 it, you know, it affects everyone. 963 00:37:55,224 --> 00:37:56,344 And I know there's a lot of people 964 00:37:56,344 --> 00:37:58,525 that still don't believe in, you know, 965 00:37:58,824 --> 00:38:01,804 climate research and climate change, but I think, 966 00:38:03,945 --> 00:38:06,045 this is a very eye opening study. 967 00:38:08,920 --> 00:38:11,719 But think of the results, as you will. 968 00:38:11,719 --> 00:38:13,880 Some people don't care. You know? They're more 969 00:38:13,880 --> 00:38:16,519 interested in living their life, which I respect 970 00:38:16,519 --> 00:38:17,019 completely. 971 00:38:19,559 --> 00:38:20,380 Next article. 972 00:38:21,114 --> 00:38:25,195 Just in time for Christmas, xdadevelopers.com 973 00:38:25,195 --> 00:38:28,015 releases an article written by Simon Batt, 974 00:38:28,555 --> 00:38:31,594 physicist three d print a tiny Christmas tree 975 00:38:31,594 --> 00:38:32,494 made of ice. 976 00:38:33,780 --> 00:38:35,719 Three d printing usually means plastics, 977 00:38:36,260 --> 00:38:37,480 resins, metals, 978 00:38:37,860 --> 00:38:40,099 water. Not really. It melts. It's hard to 979 00:38:40,099 --> 00:38:43,300 control. It doesn't exactly hold shape, but physicists 980 00:38:43,300 --> 00:38:46,019 at the University of Amsterdam figure figured out 981 00:38:46,019 --> 00:38:47,160 a clever workaround. 982 00:38:48,014 --> 00:38:49,694 The team placed a three d printer in 983 00:38:49,694 --> 00:38:52,014 a pressure chamber and exploited a quirk of 984 00:38:52,014 --> 00:38:52,514 physics. 985 00:38:54,014 --> 00:38:55,234 At very low pressure, 986 00:38:55,534 --> 00:38:58,335 water molecules at the liquid surface escape as 987 00:38:58,335 --> 00:38:58,835 vapor, 988 00:38:59,214 --> 00:39:01,795 and each departing molecule carries heat away, 989 00:39:02,109 --> 00:39:03,409 cooling what's left behind. 990 00:39:03,869 --> 00:39:06,030 Spray water at low pressure, and it freezes 991 00:39:06,030 --> 00:39:06,769 on contact. 992 00:39:08,109 --> 00:39:10,510 Layer by layer, they've built a tiny ice 993 00:39:10,510 --> 00:39:12,929 Christmas tree without needing subzero temperatures. 994 00:39:14,824 --> 00:39:16,684 What this means for you guys? 995 00:39:17,784 --> 00:39:19,384 I don't really know. I think it's just 996 00:39:19,384 --> 00:39:20,204 cool science. 997 00:39:22,824 --> 00:39:23,324 Maybe 998 00:39:23,784 --> 00:39:26,105 ice sculptures might be more of a common 999 00:39:26,105 --> 00:39:28,424 thing we see around town in the future. 1000 00:39:28,424 --> 00:39:30,444 Who knows? This is a pretty cool, 1001 00:39:32,079 --> 00:39:35,119 niche thing to, to develop, but it's, it's 1002 00:39:35,119 --> 00:39:36,659 fun. It's festive. 1003 00:39:37,280 --> 00:39:38,099 It's physics. 1004 00:39:40,239 --> 00:39:41,920 But yeah, you know, that's all I got 1005 00:39:41,920 --> 00:39:42,900 for you guys tonight. 1006 00:39:43,255 --> 00:39:46,855 Happy holidays to, everyone that's listening. Thank you 1007 00:39:46,855 --> 00:39:48,954 guys so much again for tuning in. 1008 00:39:50,375 --> 00:39:52,934 For those of you that don't listen until 1009 00:39:52,934 --> 00:39:54,715 after New Year's, happy New Year. 1010 00:39:55,414 --> 00:39:57,800 I hope that we can get you some 1011 00:39:57,860 --> 00:40:00,180 more great content in the in the upcoming 1012 00:40:00,180 --> 00:40:01,559 year. Hopefully, looking 1013 00:40:01,940 --> 00:40:03,780 to post at least one or two before 1014 00:40:03,780 --> 00:40:04,820 the New Year. But, 1015 00:40:05,781 --> 00:40:07,861 thank you again for tuning in, folks. Have 1016 00:40:07,861 --> 00:40:09,481 a phenomenal night, 1017 00:40:10,341 --> 00:40:12,581 and we'll catch you guys next time. Bye 1018 00:40:12,581 --> 00:40:13,081 now.