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Stop Being Tricked — Transcript

by The PrimeTime · 2,141 words · 312 segments · language en · Watch on YouTube

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  1. 0:00Fellas, is it over? Or are we so back?
  2. 0:03Now, for the last few years, we've kind
  3. 0:05of been in this limbo of we are so over,
  4. 0:07no, actually we're so back. And you
  5. 0:10know, it's it's a little difficult. The
  6. 0:12latest version of it's so over comes
  7. 0:14courtesy of this Claude Opus 5 demo.
  8. 0:17Look at this. This is a one-shotted
  9. 0:19game. The entire thing. One shot. One
  10. 0:22prompt. This isn't the only one. There's
  11. 0:24plenty of these all over the the
  12. 0:26internet right now. Here's another one
  13. 0:27with snowboarding. Another one that
  14. 0:29looks like some sort of Starfield
  15. 0:31variant or clone. RTS's in space. Or
  16. 0:35this one that looks just like
  17. 0:37Battlefield. Oh, that that that one's
  18. 0:39actually just Battlefield. There's just
  19. 0:41hundreds more of these and we're seeing
  20. 0:43them all the time and the kind of common
  21. 0:45thread I'm seeing is that game dev
  22. 0:48Guess what? All of you guys that went to
  23. 0:50school, you're dumb because AI games
  24. 0:52it's going to be amazing. You don't even
  25. 0:54know. And I wanted to take a moment and
  26. 0:56I wanted to talk about this, okay? The
  27. 0:57what I what I'm now referring to as demo
  28. 1:00porn. Because I think there's two camps
  29. 1:02of people right now. The it's fake,
  30. 1:04you're faking it, oh, but it's actually
  31. 1:06just super sucky and everything that
  32. 1:08you're showing is stupid. Or B, oh my
  33. 1:10gosh, it's the greatest thing ever, all
  34. 1:12game devs are out of a job and
  35. 1:13everybody's going to be able to create
  36. 1:14their own triple-A game. Naturally, I
  37. 1:16disagree with everybody and I think
  38. 1:18everybody's completely wrong. I have the
  39. 1:20mandate from heaven to give an opinion
  40. 1:22on this matter and I'm going to give a
  41. 1:24very strong opinion on this matter. Now,
  42. 1:27before we do that, of course, naturally,
  43. 1:29I would like to say thank you to the
  44. 1:30sponsor.
  45. 1:31>> Look at all these engineers sitting at
  46. 1:33their neat little desks.
  47. 1:35It takes dirty work to keep a code base
  48. 1:37clean.
  49. 1:38>> [music]
  50. 1:38>> Every day sickos are out there
  51. 1:40committing unreviewed code. And when
  52. 1:42that happens,
  53. 1:43linters won't save you. You need someone
  54. 1:46like me.
  55. 1:47>> Let's go!
  56. 1:49>> Feature freeze, scrum bag.
  57. 1:51>> Who you calling scrum bag?
  58. 1:52>> What's this slop you're trying to push?
  59. 1:54Unnecessary comments? Global state?
  60. 1:57Nested ternaries?
  61. 1:58>> Uh, my bad. I didn't even read the code
  62. 2:00yet.
  63. 2:01>> You disgust me. Step away from the
  64. 2:03keyboard.
  65. 2:03>> Just let me explain.
  66. 2:05>> Is that a mouse? HE'S MERGING A PROD.
  67. 2:07>> YOU HAVE THE RIGHT TO REMAIN SILENT.
  68. 2:08Anything you push to GitHub can and will
  69. 2:10be used against you. You have the right
  70. 2:12to a debugger, but if you cannot afford
  71. 2:14one, a public stack trace will be made
  72. 2:15available to you.
  73. 2:18>> And one more code criminal off the
  74. 2:20streets where they belong.
  75. 2:22HR.
  76. 2:23>> [snorts]
  77. 2:25>> Look, I didn't
  78. 2:28I know I didn't review any of the code,
  79. 2:30but I was going to have Code Rabbit
  80. 2:31review it from the start. With one-click
  81. 2:33fixes and style enforcement, I don't
  82. 2:35need Merge Cop.
  83. 2:36I would never merge unreviewed code, but
  84. 2:38a first pass with Code Rabbit always
  85. 2:40makes things go faster. Actually, you
  86. 2:42can try it, too, at coderabbit.ai.
  87. 2:45>> Next week on Merge Cop.
  88. 2:47>> The diff ler's out there, and I'm going
  89. 2:49to be the one to deprecate him.
  90. 2:55>> Now, I already know what everybody wants
  91. 2:56me to do at this point, right? Which is
  92. 2:58they want me to [ __ ] on all these games.
  93. 3:00Be like, "Dude, these people are idiots.
  94. 3:02What they're creating sucks.
  95. 3:03Everything's awful." Uh, the reality is
  96. 3:05I I just don't I don't I just don't
  97. 3:07think that. See, I remember a time when
  98. 3:09the old one-shot examples were this
  99. 3:11bouncing ball inside of some sort of
  100. 3:13hexagon, sex octagon octagon situation.
  101. 3:16But now, this is the new one. It's some
  102. 3:19sort of really bizarre clone of Call of
  103. 3:22Duty. And the thing is is that I don't
  104. 3:24want to actually [ __ ] on that itself cuz
  105. 3:26to me, it's very impressive. That is how
  106. 3:28far we've come. That is what the new
  107. 3:30models can do. All right, hey, that's
  108. 3:32super cool. The fact that I can say few
  109. 3:34word in English and big result come out.
  110. 3:37Much wow, very great. To make my case,
  111. 3:39let me first
  112. 3:41describe a problem that I've seen with a
  113. 3:42lot of AI art, generally speaking. When
  114. 3:45I go onto the internets and I go to one
  115. 3:47of these many AI generated items and I
  116. 3:49say, "Hey, yo, give me me picture of a
  117. 3:50crab." It doesn't really matter what the
  118. 3:53crab that comes back looks like. An
  119. 3:55infinite possibility of crabs look like
  120. 3:58a crab. And I go, "Holy cow, look at how
  121. 4:01realistic that looks. Oh my gosh, look
  122. 4:03at the shading. Look at all this stuff."
  123. 4:05But the reality is is I asked for a crab
  124. 4:08and statistically speaking it gave me
  125. 4:09something out that I cannot really
  126. 4:11distinguish whether it is or is not a
  127. 4:12crab. It looks like a crab. I'm like,
  128. 4:14"Oh my gosh, it's a crab." But there's a
  129. 4:15fundamental problem. I didn't have any
  130. 4:17opinions on what the crab should look
  131. 4:20like. I didn't go, "Okay, I want a crab
  132. 4:22with this exact lighting angle. I want
  133. 4:24all these little details. I want it to
  134. 4:26move in this very specific manner."
  135. 4:28Because I want something that I want to
  136. 4:31create. Not just what could be. Not a
  137. 4:34single point in the set of all possible
  138. 4:36crabs. I want a very specific crab. And
  139. 4:40anybody who's gone through this exercise
  140. 4:42knows that there is a world of
  141. 4:44difference between the exact thing I
  142. 4:47want and just a point in space. And Matt
  143. 4:50Schumer, the person that's really kind
  144. 4:52of
  145. 4:53leading the way on these one-shot demos
  146. 4:55saying how amazing AI gaming is going to
  147. 4:56be, writes a blog post and goes through
  148. 4:58exactly how he did his one prompt. And I
  149. 5:00think that this is the most important
  150. 5:02point that you need to take away.
  151. 5:04Minimal is better here. We want the
  152. 5:06agent to decide the specifics. Again,
  153. 5:09you can get anything you dream up, just
  154. 5:12nothing you want. And what I mean by
  155. 5:14that is look at this little stick man
  156. 5:16figure, okay? Okay, that swing was
  157. 5:18pretty nice, whatever. I made this game
  158. 5:20and to generate this game took almost no
  159. 5:22time, nothing. A few minutes and boom,
  160. 5:24this all worked out. But the stick guy
  161. 5:26looked horrible. Uh his swing was all
  162. 5:28weird. He was facing the ball. All sorts
  163. 5:31of strange like everything was wrong
  164. 5:32about it. And for the next 2 hours I
  165. 5:35tried to get it to look better and yes,
  166. 5:36it does look better based on what you're
  167. 5:38seeing, but still it's nothing what I
  168. 5:40can envision inside of my head. And
  169. 5:42getting it to go from super janky and
  170. 5:44weird-looking into something that just
  171. 5:46kind of swings and mostly looks normal,
  172. 5:48that cost me $117
  173. 5:51of Claude Opus 5, totaling 72 million
  174. 5:55tokens. And that was only to get a
  175. 5:57result that's like 25% of what I want.
  176. 6:00And this is the fundamental with demo
  177. 6:01porn. Demo porn just simply says, "Hey,
  178. 6:04go look at Starfield and make
  179. 6:06something." And it does an incredible
  180. 6:08job cloning some basic visual version of
  181. 6:11it in which you let it infinitely
  182. 6:13iterate for some, you know, hundreds, if
  183. 6:15not thousands of dollars. That's
  184. 6:17awesome. It's It's It's a cool feat.
  185. 6:19It's a cool world we live in. And I bet
  186. 6:21you there will be some cool ideas and
  187. 6:23games that actually get executed via
  188. 6:24this way. But the problem is this, what
  189. 6:26makes a good multiplayer shooter? Well,
  190. 6:29the levels are a very important part.
  191. 6:32Are you going to be able to just a AI
  192. 6:34generate a level that's actually fun? If
  193. 6:37you've spent any time playing a
  194. 6:39multiplayer level, you know it takes
  195. 6:41hundreds, if not thousands of hours of
  196. 6:44really precise building to create the
  197. 6:47perfect multiplayer experience just for
  198. 6:51one level. The work is still all there.
  199. 6:53The demo is neat. It's cool. It's
  200. 6:56something, but it's not actually a game.
  201. 6:59And that's why I call it demo porn. It's
  202. 7:02like you're getting something, but
  203. 7:04you're not getting anything real at all
  204. 7:06because all the work is in making the
  205. 7:08game fun. And you can see that with all
  206. 7:10the responses. All the responses were
  207. 7:12like, "Dude, if you know anything about
  208. 7:14Unity, you'd be able to do it in like 2
  209. 7:15hours without spending a gazillion
  210. 7:17dollars." It's like, that's not the
  211. 7:18point. The point is it's super cool that
  212. 7:19we can build this. But the real point is
  213. 7:22it doesn't matter that you can generate
  214. 7:23it. What matters is that you can
  215. 7:24generate exactly what you want. What
  216. 7:27does that look like? I want to see
  217. 7:29somebody make Call of Duty for actually
  218. 7:31real and generate every single stage of
  219. 7:34the way cuz what we'll probably end up
  220. 7:36finding is, "Oh, no, actually
  221. 7:38it's just 10 times easier, 10 times
  222. 7:40faster, and 10 times better hiring an
  223. 7:43artist to do a lot of the modeling and
  224. 7:45getting things better. Oh, yeah, it
  225. 7:46actually turns out you run to like all
  226. 7:48sorts of insane performance problems and
  227. 7:50you actually just need an expert to step
  228. 7:52in. Oh, it turns out actually making a
  229. 7:54fun level is super hard and actually
  230. 7:56having somebody that understands game
  231. 7:58mechanics is really, really important.
  232. 8:00Uh, I'm going to need them to step in.
  233. 8:02And then next thing you know, you didn't
  234. 8:04actually solve the problem, but you were
  235. 8:06able to generate something that looked
  236. 8:08compelling. I've no I already referenced
  237. 8:10this video, but I want to just show it
  238. 8:12again because I think he says it so
  239. 8:14perfect.
  240. 8:15>> Speed isn't the issue. If I told you
  241. 8:18David, with this technology, you can
  242. 8:20create something that looks exactly like
  243. 8:23GTA.
  244. 8:25And it's going to take 3 years, not 30
  245. 8:27seconds. You'd be like, "I'll spend 3
  246. 8:28years on it. It's worth it." But and
  247. 8:30that exists. You can in 3 years,
  248. 8:33technology exists prior to AI to clone
  249. 8:36GTA. But it won't be GTA. It'll be a
  250. 8:39clone of GTA. Clone Stone Cell. All hits
  251. 8:43are by their very nature unexpected.
  252. 8:45>> Absolutely beautifully said and of
  253. 8:47course very based. Absolutely love that
  254. 8:50video, love that interview. I just
  255. 8:51wanted to talk about this because I
  256. 8:52think people who don't build the thing,
  257. 8:55they see this and go, "Wow, it's so
  258. 8:58impossibly impressive. I could never do
  259. 9:00that." Reality is yes, of course you
  260. 9:02could do that. You just would have to
  261. 9:03learn some things and then boom, you
  262. 9:04would be able to do that. But that's not
  263. 9:06the point. Like the point is really that
  264. 9:08the distance between demo to a finished
  265. 9:11product is a gulf that is gigantic. I
  266. 9:14don't think AI has solved the abandoned
  267. 9:17project problem. In fact, I think
  268. 9:19there's at least a magnitude more of
  269. 9:21abandoned projects because even when you
  270. 9:23fully generate something, the tedium,
  271. 9:26the the actual like constantly going
  272. 9:28back and forth continues to be the same
  273. 9:30thing. Yes, you're moving faster, but
  274. 9:32you just have a whole new set of
  275. 9:34challenges. And again, the difference
  276. 9:35between demo and reality and something
  277. 9:38that is good that people actually want
  278. 9:40is a golf that is gigantic. And good,
  279. 9:43amazing decisions don't come from, "Hey
  280. 9:45model, you decide." No, it comes from
  281. 9:47you sitting down and thinking for days
  282. 9:50or weeks about one small little feature.
  283. 9:53There's a tower defense game that I'm
  284. 9:55building and one of these small features
  285. 9:56is that you get these upgrades and when
  286. 9:57an upgrade happens, bullet time starts.
  287. 10:00And coming up with that idea of bullet
  288. 10:02time and exactly how it should look and
  289. 10:04feel, it was like four or five hours of
  290. 10:06experimenting just for one tiny little
  291. 10:09feature. And games are just an
  292. 10:12amalgamation of a million tiny little
  293. 10:15features. Anyways, I just wanted to say
  294. 10:16all these things cuz I really want to
  295. 10:18encourage you guys that A, it's not so
  296. 10:20over and B, don't be tricked by demo
  297. 10:23porn. Stop being tricked. It's not the
  298. 10:25end of the world. This isn't the most
  299. 10:27amazing thing. Go look at all the
  300. 10:28videos. Immediately you'll start seeing
  301. 10:30that there's like 1 billion problems
  302. 10:32within all the demos, but that's like
  303. 10:33again, besides the point. Just don't
  304. 10:35forget, something that is amazing that
  305. 10:38actually captures people's attention
  306. 10:40takes time and dedication, no matter how
  307. 10:43easy it is to generate exactly what you
  308. 10:45want. Because determining what is
  309. 10:47actually the best is still really hard
  310. 10:50in a world where everything is free. The
  311. 10:52name
  312. 10:54is the Prime Agent.

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