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They did it... — Transcript

by Matthew Berman · 2,480 words · 340 segments · language en · Watch on YouTube

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  1. 0:00So, I've been working on a project
  2. 0:01recently that made me rethink how all of
  3. 0:04software is going to be built. I was
  4. 0:06setting up a new PC and I needed to read
  5. 0:09a PDF. And the first thing that I did
  6. 0:11was try to open it, of course, but
  7. 0:14Windows doesn't have a good built-in PDF
  8. 0:16reader. And so, reluctantly, I had to go
  9. 0:20to Adobe Acrobat. Now, I know there's a
  10. 0:22few other alternatives out there, but
  11. 0:23Acrobat is kind of the standard. So, I
  12. 0:26went to download it. I installed it and
  13. 0:28I hated every second of it. It's
  14. 0:30bloated. It comes with a bunch of
  15. 0:31features I don't need. It's trying to
  16. 0:34push other products. It's even trying to
  17. 0:36get me to log in. And all the while I'm
  18. 0:39sitting here and all I'm trying to do is
  19. 0:41read, maybe edit a PDF. This is really
  20. 0:43simple stuff. In that moment, rather
  21. 0:46than suffer with this piece of software,
  22. 0:48I decided to make my own. And I know
  23. 0:50this sounds really basic like okay a PDF
  24. 0:53reader very basic software but it
  25. 0:55actually has massive implications that I
  26. 0:58want to talk about in this video because
  27. 1:00then I started building other pieces of
  28. 1:01software that I need and not only that
  29. 1:03there are other developers out there who
  30. 1:05are building entire software suites like
  31. 1:08somebody literally cloned the entire
  32. 1:10Adobe suite including Premiere and After
  33. 1:13Effects. And so I feel like we're
  34. 1:14getting into this world where consumers
  35. 1:17are going to be building their own
  36. 1:19software. And there are a few things
  37. 1:20that needed to come together all at the
  38. 1:22same time to make this happen. And over
  39. 1:25the last month, I am now convinced they
  40. 1:28have. Number one, the models had to get
  41. 1:31good enough. And I'm going to get back
  42. 1:32to that in a second. Number two, they
  43. 1:34had to be cheap enough. If you're having
  44. 1:36to burn tens of millions of tokens to
  45. 1:40build a piece of software that you can
  46. 1:41go buy for 10, 20, $30, why would you do
  47. 1:44it? And then three, it had to be easy
  48. 1:46enough. And the models wrapped in agents
  49. 1:49have become so autonomous that it very
  50. 1:51much is that easy. So this has been
  51. 1:53growing over the last few months. the
  52. 1:55models have gotten so good and Opus 5.5
  53. 1:59was kind of the peak, the turning point
  54. 2:02at which I can just tell it to make a
  55. 2:05piece of software or to clone a piece of
  56. 2:07software and it would go off and do so.
  57. 2:10And it wasn't just the model quality
  58. 2:12that allowed it to do that. It was also
  59. 2:13the fact that the price of the tokens
  60. 2:16and the cost to complete the task had
  61. 2:20dropped tremendously. And so there's
  62. 2:23this calculus going on at all times. How
  63. 2:27much does it cost to build a custom
  64. 2:30piece of software for what you need and
  65. 2:32to maintain it versus how much does it
  66. 2:34cost to buy a piece of software often
  67. 2:37times in a subscription model. So you're
  68. 2:40paying this ongoing fee for it. And I
  69. 2:42think we've hit this critical point in
  70. 2:44which the cost of tokens to build and
  71. 2:47maintain a piece of software is now less
  72. 2:49expensive than simply buying it. And the
  73. 2:52cool thing is when you're building it
  74. 2:54yourself, you get the exact features you
  75. 2:56need. Even if the feature wouldn't have
  76. 2:59applied or been attractive to anybody
  77. 3:02else, it doesn't matter. You build it
  78. 3:04for yourself. So the models have now
  79. 3:06gotten to the point where they're good
  80. 3:07enough. I mean, let me give you a few
  81. 3:10examples. So I've been doing model
  82. 3:12testing for a couple years now. It
  83. 3:15started way back where I just said,
  84. 3:16"Okay, make the game snake in Python."
  85. 3:20And that was like dead simple. And the
  86. 3:22models just kept getting better where
  87. 3:24that snake game was too easy. So I moved
  88. 3:27on to harder things. And one of those
  89. 3:29kind of more well-known harder things
  90. 3:31was build a Rubik's cube simulation. And
  91. 3:34the models got so good at that. And so I
  92. 3:37had to come up with these new tests to
  93. 3:40test the latest models on. And what I
  94. 3:42decided to do was just simply rebuild
  95. 3:45software from the ground up. and I would
  96. 3:47point it at Microsoft Excel. One of the
  97. 3:50most complex pieces of software on the
  98. 3:53planet, one of the most used pieces of
  99. 3:56software on the planet. I would just say
  100. 3:58a simple prompt, go clone Excel and it
  101. 4:01would do pretty well for a while. When
  102. 4:04we were on like GPT5 model and prior to
  103. 4:06Fable coming out, they would be able to
  104. 4:08get pretty close. there would be a lot
  105. 4:10of rough edges and it wouldn't be
  106. 4:12feature complete but you know it would
  107. 4:15look like Microsoft Excel and then these
  108. 4:17latest generation of models dropped and
  109. 4:19it would just simply clone Excel like
  110. 4:21end to end not over multiple days
  111. 4:23either. I mean I'm talking about within
  112. 4:25a matter of 90 minutes or maybe a couple
  113. 4:28hours it would fully clone Excel every
  114. 4:31feature every piece of functionality. I
  115. 4:33would make it browserbased and in fact
  116. 4:35I'll go ahead and drop my latest version
  117. 4:37down below so you can play with it. But
  118. 4:38the point is it was able to build it.
  119. 4:40And now if you wanted to use Microsoft
  120. 4:43Excel, the standalone Microsoft Excel is
  121. 4:46$180
  122. 4:48for a single license, but you get a
  123. 4:51lifetime, which, you know, fine. It's a
  124. 4:53very valuable piece of software. $180
  125. 4:56over the lifetime of the piece of
  126. 4:57software. Or you're going to be paying a
  127. 4:59subscription, which is, you know,
  128. 5:01between $7 and $10 per month, and you
  129. 5:03get Excel and Word and PowerPoint and
  130. 5:05everything else. But then I spent maybe
  131. 5:07$10 in tokens to rebuild it with
  132. 5:11complete feature parody. And now I can
  133. 5:14take that and open source it and give it
  134. 5:16to the world for free. And it is
  135. 5:18becoming more and more apparent that the
  136. 5:22value of software is approaching zero.
  137. 5:24the cost of software will be zero
  138. 5:28because anybody with a $200 a month
  139. 5:33subscription to Claude or to Chad GPT
  140. 5:36can simply just build any software they
  141. 5:38want and release it to the world. And
  142. 5:39then somebody else can take that base
  143. 5:42and modify it how they want costing a
  144. 5:45fraction of what the original buildout
  145. 5:47costs and everybody just gets exactly
  146. 5:49what they need. And if this sounds
  147. 5:51familiar, it's called open source. I
  148. 5:54really do believe that all software in
  149. 5:56the future is going to be de facto open-
  150. 5:58source. And so I'm going to show you
  151. 5:59some other projects that I made in a
  152. 6:01minute. But the reason I really think
  153. 6:03that is because the recent growth and
  154. 6:06popularity of decompiling software. And
  155. 6:09if that sounds complicated, it's really
  156. 6:12not. And I've been building all of this
  157. 6:14software lately on my new Nvidia RTX
  158. 6:16Spark machine. It is truly phenomenal
  159. 6:19and it's become my daily driver laptop.
  160. 6:21Let me tell you about it. This is the
  161. 6:23new Microsoft Surface Laptop Ultra and
  162. 6:26it is unlike other laptops. This is all
  163. 6:28powered by the Nvidia RTX Spark. Nvidia
  164. 6:31is now making both the CPU and GPU. It's
  165. 6:33a Grace CPU, a Blackwell RTX GPU, and it
  166. 6:38shares up to 128 gigs of unified memory
  167. 6:42and RTX Spark, which is what's powering
  168. 6:44it, has CUDA natively, so you have
  169. 6:47Nvidia software for accelerating AI
  170. 6:49right on the machine. I've been testing
  171. 6:51it. I've been running local models. I've
  172. 6:53been playing Gears of War. I've been
  173. 6:55video editing and kind of all at the
  174. 6:58same time. So, the materials that they
  175. 6:59used to build this laptop feel
  176. 7:01absolutely premium. And even when I'm
  177. 7:03running AI and playing games on it, it
  178. 7:06doesn't get that hot, and I don't really
  179. 7:07understand how they did that. The fan is
  180. 7:09relatively quiet. It comes with a 15-in
  181. 7:12touchscreen, so I can play with my
  182. 7:13little Rubik's Cube simulation all day
  183. 7:15long. So, go check out the Nvidia RTX
  184. 7:17Spark laptops. I'll drop a link down
  185. 7:19below. And so besides for the software
  186. 7:21that I was building for myself, I
  187. 7:23started seeing other people decompile
  188. 7:25software and probably the most
  189. 7:27well-known one which I covered in a
  190. 7:29video is called Artcraft. It is the
  191. 7:31entire Adobe suite of products,
  192. 7:34open-source and completely free. Here's
  193. 7:36PhotoCraft. I mean, look at this. It
  194. 7:38looks exactly like Photoshop. Here's
  195. 7:40Vectorcraft for creating vectors. Here's
  196. 7:43Filmcraft, which is basically Adobe
  197. 7:45Premiere. Here it is. It looks
  198. 7:47beautiful. And so what this guy did was
  199. 7:49simply point his AI at an existing piece
  200. 7:51of software and said, "Iterate until you
  201. 7:54clone it." Exactly. And so this was one
  202. 7:56of the most exciting projects I had seen
  203. 7:58in a while. Okay, so it's definitely
  204. 8:00happening now. And I'm going to show you
  205. 8:01a few pieces of software that I've been
  206. 8:04building myself. But first, how did we
  207. 8:06actually get here? So a couple years
  208. 8:07ago, I made this video called SAS is
  209. 8:09dead. And it proposed this thesis that
  210. 8:11all software was going to collapse down
  211. 8:13into agents. agents just being able to
  212. 8:15accomplish whatever like the actual
  213. 8:18application wasn't even needed anymore.
  214. 8:20And then the other thing is kind of a
  215. 8:22layer of database like the actual ground
  216. 8:24truth which needs to be stored in a more
  217. 8:26traditional database. It can't be done
  218. 8:28by AI. And so it's going to be those two
  219. 8:30layers. And that was specifically in the
  220. 8:32enterprise, but I never really thought
  221. 8:33that consumers would be able to build
  222. 8:35their own software. And maybe not they
  223. 8:38weren't going to be capable to do it,
  224. 8:40but it wouldn't make sense to do. But
  225. 8:42then, you know, fast forward to just a
  226. 8:44few weeks ago and that is not the case
  227. 8:46anymore. Like the math to build your own
  228. 8:49software now favors building your own
  229. 8:51software versus buying. And so, let me
  230. 8:53show you Folio. This is my PDF reader
  231. 8:56editor. You can eign with it. You can
  232. 8:59use AI to ask questions about the PDF.
  233. 9:02And if there's any other functionality I
  234. 9:04want, I can just simply add it in here.
  235. 9:06And it's lightweight. It's lightning
  236. 9:08fast. It's completely free. It's open
  237. 9:10source. I'll drop a link down below so
  238. 9:11you can get it and use it if you want.
  239. 9:13You can fork it, make it your own. So,
  240. 9:16look here. I'll click here and, you
  241. 9:18know, simple. It's a PDF reader. You can
  242. 9:21draw on it. You can add notes to it. You
  243. 9:23can ask questions to it. You can do a
  244. 9:25whole bunch of cool stuff. And it just
  245. 9:27works. And I'm not going to pay for this
  246. 9:29software again. Uh there's no reason to
  247. 9:31download Adobe Acrobat. And then there
  248. 9:33was this piece of software I used for a
  249. 9:35while called One of 10. It allowed me to
  250. 9:38see how other people's videos were
  251. 9:39performing. It gave me stats on those
  252. 9:41videos, stats on different channels. And
  253. 9:43then they just started adding all this
  254. 9:45functionality that I never needed. And
  255. 9:47now they're making me authenticate, give
  256. 9:49them my information. It started to
  257. 9:52clutter up YouTube. Like they would take
  258. 9:54up 30% of the real estate of the screen.
  259. 9:56They just have a bunch of features that
  260. 9:58I will never need. So I built my own.
  261. 10:00This is called Outlier Tracker. And now
  262. 10:02I can see on each video. It gives me
  263. 10:05some stats on the video. I can track the
  264. 10:07video. I can do a channel analysis. It's
  265. 10:09the exact functionality I needed from
  266. 10:11one of 10. And now it's mine. And this
  267. 10:13took like 30 minutes to build. And
  268. 10:15here's that Excel clone that I
  269. 10:16mentioned. It is full Excel in the
  270. 10:18browser. I mean, it works perfectly.
  271. 10:21It's absolutely beautiful. It has all
  272. 10:23the functionality, every single piece of
  273. 10:26functionality that you would ever want.
  274. 10:28And so, where does this fall short? I
  275. 10:30think one of the common arguments
  276. 10:32against individuals, consumers building
  277. 10:34their own software and also enterprise
  278. 10:36building their own software is that it's
  279. 10:38not enough just to build it, you also
  280. 10:40have to maintain it and you have to
  281. 10:42think about security and keeping it up
  282. 10:44to date. And there's a reason for that.
  283. 10:46there have been increasing amount of
  284. 10:48hacks. And so if you're building, you
  285. 10:51know, what people would consider slop
  286. 10:53software or vibecoded software, maybe
  287. 10:55it's going to be full of a bunch of
  288. 10:56holes and you have to maintain the
  289. 10:59software over time, but I don't know if
  290. 11:01that's necessarily true. I think AI is
  291. 11:04writing better and better software and
  292. 11:06the models getting better means that
  293. 11:08they will be more hardened and more
  294. 11:10secure. And there's this graph that you
  295. 11:12can plot in which the cost of just
  296. 11:15running an agent all the time constantly
  297. 11:19updating the software constantly looking
  298. 11:21for security issues is actually less
  299. 11:23than buying the software from someone
  300. 11:24else. But let's say you don't even want
  301. 11:26to do that. I mean you can go and
  302. 11:29download an open source piece of
  303. 11:30software because I guarantee there are a
  304. 11:32lot of other developers who are just
  305. 11:34creating software and giving it out for
  306. 11:36free like Artcraft and they are
  307. 11:38maintaining it. they are just
  308. 11:39continuously throwing tokens at it. And
  309. 11:41as the cost of tokens continues to
  310. 11:44decrease to basically zero, there's
  311. 11:48almost like this just desire to build
  312. 11:51and it's essentially free to build and
  313. 11:54you can put stuff out there and have
  314. 11:55people use it and it's exciting and just
  315. 11:59kind of the love of the craft of
  316. 12:01building. And so I really do think we're
  317. 12:03in this renaissance of software where
  318. 12:05every individual is just going to build
  319. 12:08the software that they need. Exactly.
  320. 12:10And the one last thing I want to mention
  321. 12:13is Omari, which is a new operating
  322. 12:16system by the guy who created Ruby on
  323. 12:18Rails. And they have AI embedded in its
  324. 12:21DNA to the point where you can customize
  325. 12:24the operating system to be exactly what
  326. 12:26you want it to be at all times. And
  327. 12:28that's super exciting to me. I mean, you
  328. 12:30can more or less do some of that with
  329. 12:33Windows right now, but to fully
  330. 12:35customize the operating system at all
  331. 12:37times, I think it's quite exciting to
  332. 12:39think maybe there is room for a new
  333. 12:41operating system. So, I encourage you go
  334. 12:44check out open- source, try to build a
  335. 12:46little app for yourself, see how far you
  336. 12:48get, and then see how far you can go.
  337. 12:50And one of the best open source models
  338. 12:51on the planet right now is Deepseek V4.1
  339. 12:54Flash. I did a full video about that.
  340. 12:56You should go check that out right

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