Videos grdoOC1BT1s
Think You Can Build a Game with AI? Think Again! - Danielle An & David Hoe, Meta
Scene timeline
46 shot(s).
keyframes kept every frame deduplicated
What was stored
- cues
- 165
- whisperx 165
- chunks
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- keyframes
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- kept of 46 captured
- frames with text
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- 1,036 lines read
- chapters
- 0
- from the source metadata
- keyframe bytes
- 6.3 MB
- word timings on 165 cues
Provenance
| 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
- 0:15 Hello.
- 0:15 Thank you for joining us, before lunch especially.
- 0:18 I appreciate it.
- 0:20 I'm David, prototype at Meta.
- 0:23 I'm Danielle.
- 0:24 I'm a principal engineer at Meta.
- 0:26 And we have a little set of slides here we thought would make a little different experience today.
- 0:34 So instead of non-interactive slides, you get some interactive slides.
- 0:39 So if anyone's interested, you can just scan this QR code.
- 0:42 I'll try and make it bigger for you.
- 0:47 If you get fidgety, have a go and see what this does along the way.
- 0:52 This is linked up to, by the way, so instead of slides, each NPC will reveal the slide content.
- 0:58 So depending on how chaotic you want things to be, you have control.
- 1:04 Everyone got that?
- 1:04 I'm going to close that down.
- 1:10 And over to Danielle.
- 1:14 Yeah, so while you guys are getting the hang of this, it seems to be working.
- 1:20 Well, multiple people are controlling it.
- 1:22 There's a voting system behind the scenes that will determine who wins.
- 1:27 But if you try to, yes.
- 1:30 It's like a little quest-giving game.
- 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.
- 1:43 We've been doing that for over a year now.
- 1:45 And a lot of what we do on a daily basis is using AI to help generate games.
- 1:54 for the casual creator, pro creator, and everybody alike.
- 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.
- 2:14 So now...
- 2:17 We're gonna get started.
- 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.
- 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.
- 2:34 So we're imagining if you come to this talk, you're people that are very interested in games.
- 2:39 Maybe you play a lot, or at least you're somewhat interested in how games are made.
- 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.
- 2:52 So this is the kind of talk for you.
- 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.
- 3:01 But now we're going to get going onto the real part.
- 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.
- 3:18 If you have not, maybe your kids, your moms, your friends have built them.
- 3:23 Chances are it's very likely.
- 3:26 And initially, it's very impressive, because within a couple of prompts, you're like, oh, here is a game.
- 3:31 I can recognize this.
- 3:33 And if you're lucky, it works out of the box, but not guaranteed.
- 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.
- 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.
- 3:54 So after a while, it's like, what's next?
- 3:56 This is cool.
- 3:58 So that's...
- 4:01 Yeah, we're all moving a lot here.
- 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.
- 4:09 But I don't know how many people are here.
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