Thank you for sharing this, that sounds hopeful!From Hypothesis to Reality: The GT Sophy Team Explains the Evolution of the Breakthrough AI Agent – Sony AI
Since its inception in 2020, Sony AI has been committed to enhancing human imagination and creativity through the accele...ai.sony
This interview was published in January and the developers mention endurance races with dynamic weather as one of their goals for Sophy.
I hope we learn some new things as they sure showcase it on the World Tour events.
Basically this is news from 2021:It looks like Sony AI is simultaneously working on another AI model (not Sophy) potentially for use in Gran Turismo.
Interesting, thanks. The article made it seem like it was a new interview. Cool to see in the paper summary that it's already being trained with weather on those three tracks.Basically this is news from 2021:
Polyphony Digital Helps New AI Deep Learning Study Using Gran Turismo
A new paper posted to the arXiv research repository has demonstrated the possibility of teaching AI how to race in Gran Turismo using only the same visual cues as human drivers. The research, conducted by Sony AI -- a recently created subsidiary of Sony to study applications for AI -- follows upwww.gtplanet.net
The research predates Sophy and Sony AI, but became part of Sony AI when that formed. I saw the most recent paper was published in August, and it had expanded the track selection to three rather than just the original one, and while still better than the best human players it wasn't quite as quick as Sophy.
Well, the paper itself is definitely new (well, August), and I think they were at some AI awards event so Dr. Subramanian might have said something at it, it just looks like the same vision-based RL agent from 2020 with more development rather than a new addition alongside Sophy.Interesting, thanks. The article made it seem like it was a new interview. Cool to see in the paper summary that it's already being trained with weather on those three tracks.
Here's the pre-Sony AI paper, with the AI trained on visual cues:That article seems quite a bit different than anything I'd seen. At least through the screen shots it was provided so it's got to be somewhat new.
The discussion about feeding it visible information vs precise track data is a warm welcome for what else is in store for the new AI in GT though
Yes, that's the paper presented at the conference in August; it even cites the 2021 Fuchs paper in the Related Work section (naturally )This is the information I was talking about. Outlined in this paper here.
You could already do that.Fascinated by the technology, but must admit that it is a slippery slope when this matures enough that anybody at home can use it – camera pointed at screen, device hooked up to a controller… Equals basically auto grinding credits at one end, and the end of competitive online time trials on the other? Pros and cons, for sure.
Someone has already done this with Lego Technic… I’ll see if I can find the YouTube linkFascinated by the technology, but must admit that it is a slippery slope when this matures enough that anybody at home can use it – camera pointed at screen, device hooked up to a controller… Equals basically auto grinding credits at one end, and the end of competitive online time trials on the other? Pros and cons, for sure.
You dont know unless they show evidence of them driving (as long as it doesnt look toooooo perfect).I wasn’t saying it was impossible for the auto-grinding, that’s kind of irrelevant in my opinion. I was more going after the machine learning AI of a home user setting time trial lap times that a human driver have difficulty beating. That would be a conundrum to solve. How do you know if someone is as good as their lap times claim to be? Just taking the edge cases into consideration is all 😄👍🏻