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Think You Can Build a Game with AI? Think Again! - Danielle An & David Hoe, Meta

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AI Engineer· published 2026-07-08· 0:18:00· en-US· indexed 2026-08-11 04:20

Open on YouTube

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What was stored

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word timings on 165 cues

Provenance

Each pipeline stage, its state and the model that produced it
stage state model started took
fetch done 2026-08-11 04:16 1m 27s
stt done 2026-08-11 04:17 19s
chunk done 2026-08-11 04:18 0s
text_embed done 2026-08-11 04:18 0s
keyframe done 2026-08-11 04:18 1m 29s
ocr done 2026-08-11 04:19 20s
frame_embed done 2026-08-11 04:19 7s

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Transcript

165 cues· 2,917 words· 15,308 chars

  1. 0:15 Hello.
  2. 0:15 Thank you for joining us, before lunch especially.
  3. 0:18 I appreciate it.
  4. 0:20 I'm David, prototype at Meta.
  5. 0:23 I'm Danielle.
  6. 0:24 I'm a principal engineer at Meta.
  7. 0:26 And we have a little set of slides here we thought would make a little different experience today.
  8. 0:34 So instead of non-interactive slides, you get some interactive slides.
  9. 0:39 So if anyone's interested, you can just scan this QR code.
  10. 0:42 I'll try and make it bigger for you.
  11. 0:47 If you get fidgety, have a go and see what this does along the way.
  12. 0:52 This is linked up to, by the way, so instead of slides, each NPC will reveal the slide content.
  13. 0:58 So depending on how chaotic you want things to be, you have control.
  14. 1:04 Everyone got that?
  15. 1:04 I'm going to close that down.
  16. 1:10 And over to Danielle.
  17. 1:14 Yeah, so while you guys are getting the hang of this, it seems to be working.
  18. 1:20 Well, multiple people are controlling it.
  19. 1:22 There's a voting system behind the scenes that will determine who wins.
  20. 1:27 But if you try to, yes.
  21. 1:30 It's like a little quest-giving game.
  22. 1:32 But before we go any further, the reason we're doing this is that the two of us are leading some of the AI-driven gaming creation work at Meta.
  23. 1:43 We've been doing that for over a year now.
  24. 1:45 And a lot of what we do on a daily basis is using AI to help generate games.
  25. 1:54 for the casual creator, pro creator, and everybody alike.
  26. 2:01 So given that that's our full-time job, we figured that we will take you on a little bit of a journey on the games that David made in just the last 12 hours.
  27. 2:14 So now...
  28. 2:17 We're gonna get started.
  29. 2:19 So because it's lunch, and the previous talks are a little bit delayed, so we appreciate you being here, like David was saying.
  30. 2:26 But we should also be honest about why you're here, and we want to tell you what kind of value we might bring or not bring.
  31. 2:34 So we're imagining if you come to this talk, you're people that are very interested in games.
  32. 2:39 Maybe you play a lot, or at least you're somewhat interested in how games are made.
  33. 2:44 And even better, if you wanted to make them in the future, or if you made them in the past, and you're wondering how AI is going to change that.
  34. 2:52 So this is the kind of talk for you.
  35. 2:54 But if none of that is interesting to you, at least you can just have fun, play the game before lunch, and work up your appetite.
  36. 3:01 But now we're going to get going onto the real part.
  37. 3:08 In 2026, a lot of you probably have either built something like a little game, like a platformer game, or a Tetris or something on Gemini.
  38. 3:18 If you have not, maybe your kids, your moms, your friends have built them.
  39. 3:23 Chances are it's very likely.
  40. 3:26 And initially, it's very impressive, because within a couple of prompts, you're like, oh, here is a game.
  41. 3:31 I can recognize this.
  42. 3:33 And if you're lucky, it works out of the box, but not guaranteed.
  43. 3:37 But the problem is that as time goes on, you would all see that the novelty kind of wears off, and a lot of what you prompt is the same.
  44. 3:46 If everybody says, I want a little platformer game that looks like Mario, overall, they all kind of look similar if they work at all.
  45. 3:54 So after a while, it's like, what's next?
  46. 3:56 This is cool.
  47. 3:58 So that's...
  48. 4:01 Yeah, we're all moving a lot here.
  49. 4:04 So if people want to see what the text actually is, it's good to just kind of not move for a while.
  50. 4:09 But I don't know how many people are here.

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