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Hacker News
I feel like the data should have been generated by a much less predictable policy.
It often feels like the model is ignoring my inputs and just doing what it would expect the bot to do (which is unsurprising if the model could predict what would happen next during training without paying attention to the inputs)
by in-silico
We're happy to release MIRA, a collaboration between General Intuition, Kyutai, and Epic Games.
Mira was trained on 10k hours of Rocket League data. The model has 5B parameters and runs 4-player games at 20 fps on a single B200 GPU.
We've released a playable online demo, an in-depth technical report as well as a 1k hour dataset of 4-players gameplay:
Technical report: https://mira-wm.com/paper Repo: https://github.com/mira-wm/mira
by MasterScrat
Hey all, happy to see this here! This was a colab between General Intuition (that I’m part of), Kyutai and Epic Games.
You can read plenty of details in the blog post and tech report but the TLDR is that we trained a multiplayer world model on 10k hours of Rocket League data. We optimized it to be playable at 20fps on a single GPU.
So what you see in the demo is fully generated: there’s no graphics or physics engine. Instead it’s a 5b neural network that takes actions in and gives pixels out.
by MasterScrat
Václav here from the team, we're happy to answer questions :)
The most surprising part to me is the auto-recovery behavior we mention at the end of the blog post, since any other model I've seen always stays diverged once it goes off the rails once. But MIRA really doesn't like to be out-of-distribution. To be completely honest we're not entirely sure why this happens.
by vvolhejn
It feels like playing on a very slow computer. Except that sometimes it just randomly decides you pressed the flip button. Really impressive.
by superkuh
Wow! At first, I expected this to be a demonstration of an AI playing rocket league, but I rapidly realized this is actually a model simulating rocket league. Wild! It feels just like the real game.
by danking00
This was a much better experience than I expected. Rather unbelievable!
Side-effect of the data: clearly the model is better than I normally am at playing, as it spontaneously did several things I had not told it to do and wouldn't really know how to do (at least not with a keyboard).
Really remarkable, congrats!
by jorl17
Pretty insane that you can get this close to the real thing this way.
Rocket league is one of my favourite games, and I'm pretty decent at it (rank champion 1). I kinda felt like my controller was a bit broken when playing this, a lot of commands were just ignored, and forget doing stuff like speed flips. But I did feel like was controlling the car, and everything about the game looked very much like the real thing. Ball movement was on point, I didn't notice any weird bounces or anything.
The lack of opponents pulling triple flip resets and double-tapping musty's (musties?) was the most notable difference from the real thing
by amarant
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- Hacker News
- I feel like the data should have been generated by a much less predictable policy.
It often feels like the model is ignoring my inputs and just doing what it would expect the bot to do (which is unsurprising if the model could predict what would happen next during training without paying attention to the inputs)
by in-silico - We're happy to release MIRA, a collaboration between General Intuition, Kyutai, and Epic Games.
Mira was trained on 10k hours of Rocket League data. The model has 5B parameters and runs 4-player games at 20 fps on a single B200 GPU.
We've released a playable online demo, an in-depth technical report as well as a 1k hour dataset of 4-players gameplay:
Technical report: https://mira-wm.com/paper Repo: https://github.com/mira-wm/mira
by MasterScrat - Hey all, happy to see this here! This was a colab between General Intuition (that I’m part of), Kyutai and Epic Games.
You can read plenty of details in the blog post and tech report but the TLDR is that we trained a multiplayer world model on 10k hours of Rocket League data. We optimized it to be playable at 20fps on a single GPU.
So what you see in the demo is fully generated: there’s no graphics or physics engine. Instead it’s a 5b neural network that takes actions in and gives pixels out.
by MasterScrat - Václav here from the team, we're happy to answer questions :) The most surprising part to me is the auto-recovery behavior we mention at the end of the blog post, since any other model I've seen always stays diverged once it goes off the rails once. But MIRA really doesn't like to be out-of-distribution. To be completely honest we're not entirely sure why this happens.by vvolhejn
- It feels like playing on a very slow computer. Except that sometimes it just randomly decides you pressed the flip button. Really impressive.by superkuh
- Wow! At first, I expected this to be a demonstration of an AI playing rocket league, but I rapidly realized this is actually a model simulating rocket league. Wild! It feels just like the real game.by danking00
- This was a much better experience than I expected. Rather unbelievable!
Side-effect of the data: clearly the model is better than I normally am at playing, as it spontaneously did several things I had not told it to do and wouldn't really know how to do (at least not with a keyboard).
Really remarkable, congrats!
by jorl17 - Pretty insane that you can get this close to the real thing this way.
Rocket league is one of my favourite games, and I'm pretty decent at it (rank champion 1). I kinda felt like my controller was a bit broken when playing this, a lot of commands were just ignored, and forget doing stuff like speed flips. But I did feel like was controlling the car, and everything about the game looked very much like the real thing. Ball movement was on point, I didn't notice any weird bounces or anything.
The lack of opponents pulling triple flip resets and double-tapping musty's (musties?) was the most notable difference from the real thing
by amarant