Dota 2, every mention
13 scenes · ← back to Dota 2
tap a year for its mentions
every year anyone Greg Brockman 8Diana Hu 6Bob McGrew 4Szymon Sidor 3François Chollet 3Miles Brundage 2Max Junestrand 2Craig Cannon 2
Verbatim, from the transcripts: the passages where Dota 2 comes up
François Chollet: Why Scaling Alone Isn’t Enough for AGI · Y Combinator
- ▶ 32:28 François Chollet OpenAI worked on, uh, on, uh, in particular on, uh, on Dota too, uh, the OpenAI five model, which was, if I recall correctly, so this was like, not just pre-GPT, but also mostly pre-Transformers because they were working with a stack of… 3 times in the scene
How This 25-Year-Old Built A $675M Legal AI Startup (With No Legal Experience) · Y Combinator
- ▶ 28:07 Max Junestrand I was either gonna go down the route of becoming a professional Dota, Dota II player, or go to college. 2 times in the scene
Bob McGrew: AI Agents And The Path To AGI · Y Combinator
- ▶ 3:02 Bob McGrew You know, really early big project was, uh, solving Dota II. 4 times in the scene
Why The Next AI Breakthroughs Will Be In Reasoning, Not Scaling · Y Combinator
Frank Lantz - Director of NYU's Game Center and Creator of Universal Paperclips · Y Combinator
- ▶ 51:43 Craig Cannon Uh, and I wonder if in our lifetime, you know, Dota will be bigger than the NFL by multiple.
A.I. Policy and Public Perception - Miles Brundage and Tim Hwang · Y Combinator
- ▶ 44:19 Miles Brundage Yeah, I think, um, there will be Superhuman, Starcraft, uh, and Dota too, probably in that time horizon. 2 times in the scene
Building Dota Bots That Beat Pros - OpenAI's Greg Brockman, Szymon Sidor, and Sam Altman · Y Combinator
- ▶ 4:55 Szymon Sidor Um, I can tell you a bit about, uh, our project, which is, um, essentially developing large scale reinforcement learning for, uh, DOTA two, uh, and their majority of the work is actually engineering 2 times in the scene
- ▶ 8:38 Greg Brockman And so looking down the list, Dota actually, uh, was the first one 4 times in the scene
- ▶ 13:30 Greg Brockman And in the end, we had something that looked just like a typical OpenAI gym environment, and so all you have to do is you say, gym.make this, you know, Dota environment ID, and suddenly you're playing Dota, and that your Python code just… 2 times in the scene
- ▶ 24:11 Greg Brockman We're, we're not very good at Dota.
- ▶ 27:30 Craig Cannon In Dota?
- ▶ 50:58 Szymon Sidor So, so, so specific list of things, ah, that, that we found very useful, at least in, in the Dota team, ah, is, ah, some knowledge of, ah, distributed systems, because, ah, we build a lot of those, and those are,
- ▶ 59:00 Greg Brockman Sort of starter and a very good place to like, I think one thing that I really like about this Dota project and bringing it to all these pros is that we're all going to be interacting with super advanced AI systems in the future.