Putting Wirtual in the video with a swedish car is wild
I believe he'd lost a bet and had to use a swedish car for about month iirc
Something tells me Wirtual is not going to try and beat it
He's welcome to try, but the challenge seems even harder than Deep Dip 2 😁
@@linesight-rl would be great to see if the AI could figure out Deep Dip 1.... maybe having height be a reward?
@@linesight-rl okay now i'm curious whether an ai can climb deep dip
(it'll be harder to train it on the new trackmania though, wouldnt it?)
@@rasol136you would have to take the floor of a height modulo something (assuming they are equally spaced) as one big jump could ruin that model. Or maybe it just uses that as a shortcut 🤷
Bruh... If I was picky I'd say that this is not exactly the same learning method, but I'll mark my words and eat my hat if you drive Deep Fear respawnless with AI v4.
You're probably safe: the AI has trouble with fullspeed maps as evidenced on A01.
But we'll definitely try!
@@linesight-rlhow come it struggles with full speed? As a human that naturally prefers the full speed elements of trackmania I feel like surely it should be easier because there’s less complex inputs? Just curious
@@tylercorrin1615 My guess based on the information given in this video, FS might be harder to train because of the low resolution screenshots and low fps the AI has available. If you look at 5:50, you can see how hard it is to see far ahead, which is critical in high speeds, because what is far ahead will be much closer much earlier in high speeds compared to low speeds.
@@vitriha3787 Maybe you could increase the resolution in the middle of the image
@@vitriha3787 I'm also going to bet that it's really hard for it to do accurate speed slides when the skidmarks are like 2 pixels wide.
Needless to say the ai work is amazing, but I think this video is brilliant in many other ways. I think you’ve made the cleanest and easiest to understand visualisation of the learning, with the waves of different coloured cars, and the train of WR cars to beat. Fantastic job on both the technical stuff and the video production!!
I second this! I'm a machine learning researcher and the amount of effort you've put into not only getting good results but also saving the data and displaying the data of the runs in an easy-to-understand way is extremely commendable! Well done!
i love how humans still beat it on a01, truly shows how insane the a01 wr is!
@@boom-jr8vi yeah in a couple months its gonna compete with tas runs so a01 wr will be the warm up lol
Remember that this Ai has a brain of a fruit fly. Nothing compared to the AIs currently out there
@@tom_skip3523 i mean a brain of a fruit fly is pretty impressive since it can use it perfectly. Yeah there might be better ais but not in trackmania (atleast i think there aren't)
s4d is not a mechanic neural networks just learn to use. Pretty sure the model is not adapted to work with so many degrees of freedom.
I love the visualizations with multiple copies of a run. It's really awesome to see the differences in human vs AI racing lines.
It was like a 3D racing line… never thought of something like that before
Agree, very interesting way of visualizing it. Would be cool if racing games had that.
I feel like such AI can be both a good thing and bad thing for the world recording competition. It showed how some minor improvements can be made in places human players might not think of, but also it might led most people to just blindly copy the AI's approach, like how it went in Go. One of the biggest charm of watching world records run is the creative ways players figured out to gain even the thinest margin.
But anyway, this video is such a joy to watch, absolutely great work!
Honestly, I am interested in how AI can be used in TASing. TASing requires so many human inputs and knowledge of what saves time or at least thought possible so it can be attempted via TAS.
The thought of AI being a tool that can be trained to help test theoretically possible shortcuts or how fast something can truly be makes me wonder about how far it can be pushed.
Yes AI needs to be trained, and so still requires at least a standard level of the aforementioned knowledge, but still I think it could be a massive tool for TAS's. Especially of AI can be developed for other games where TASing is heavily reliant on human play + savestates due to a lack of other available compatible tools.
If you think about it AI is basically in the same position as a human, when a human gets a world record everyone tries to copy him, same could go with the AI the difference is that one is human and one is a AI.
@@Ezz_Fr That’s definitely true, but there’s a catch: AI can try more times in days than human can in years. When you know that someone plays the game so much more times than you do, I think it’s hard to think that you yourself can even find a better way with the your ‘super inefficient’ approach. After all, it takes too much time and luck for a human player to find, test, and execute an approach to perfection.
In the world of Chess AI has overtaken human for a long time now. AI vs AI is what generates progress and humans are studying AI tactics to learn new strategies. We are a long way from that in physics based games. Chess is just a discrete decision matrix. The video game genre that could probably be optimized the fastest would be 2D fighting. It's discrete.
I can't get over how good this video production is mate. Well done!
It would be really interesting instead of 0-shot learning to see how few-shot learning would work. Let the general AI fine tune on the new map for a few minutes to see how much it improves. Maybe we can see the AI play Random Map Challenge at some point?
@@cyanhacker It can, but as you see the tchniques here applied are generally guiding the AI a lot and the neural network is small.
With techniques that give the AI abilities to look ahead, it could very well surpass and even plan its own route faster than humans. It woudn'T need to have human reqard shaping, insteadyou could employ PPO for optimizing the reward function along a general goal.
so props to the author but a fruitfly brain is notgoing to cut it. I would love to see a breakdown of the Neual network used currently and maybe with some added hardware getting that up to speed already beats the challenge
i like how you even included the sections where humanity beats the ai
I feel like it won't find speedslides without some human input, and I doubt it could win simply by training more.
Amazing video and congratulations on creating such an amazing piece of of work(?). Really cool!
BIG respect for you making the AI open source (in the future).
Thought the whole video till that point about how cool it would be if it was open source
Honestly, a map like Deep Fear seems perfect for an AI. The only scary thing about it is its length.
For a human, the problem with Deep Fear is remembering the track, focus, precise input and reaction time. The AI has no issues with any of these things.
And I think the original commenter must have a misunderstanding about how it works, since they specify "respawnless," because there's no reason a fully trained version would need to respawn, it would just do the right inputs the first time.
The AI may have a problem with its context window if the track is very long and has many unique sections.
@@SamuelBoshier Its possible some sections are easier to do with the standing respawn, every checkpoint on the map is respawnable and has boosters, doing it segmented like that eliminates some variation. The AI could potentially learn to do it like that instead.
@@SamuelBoshier You sure it isn't you that has a misunderstanding of how the map works?
@@TheSuperappelflap Regarding length I'm referring to the massive amount of computation it requires. Nothing else really.
If this doesn't go viral, I'm going to be so sad. The AI just gets so interesting every time. Can't wait for the time that FWO itself will have trouble beating it.
I really doubt they'll recruit AI. Jealous as they are there's no way that they'd welcome someone better than them at the game.
I mean, how many years has it been since TAS entered the WR scene and they don't even consider recruiting him to the team? He's been crushing every map he plays and they keep denying him membership
@@daniellima4391 Fr, my boy TAS was robbed.
He does other games too, and it's disgusting how communities ignore him
I mean they might like give a version of this an honorary induction to FWO. Perhaps the first version capable of trying its own short cuts
This was a very nice and interactive watch ! Thanks for sharing and please keep progressing the A.I. :)
Loved every second of the video! Great job on the AI and the video editing
The day trackmania AIs can scout and lab tracks on their own, we're all cooked.
I mean technically it can, it discovered the barrier jump on its own. the issue is that the scoutting and labbing that it does is very very inefficient as it doesn't actually know what its looking for. a human could say "i think this might be faster" and try something new, but a neural net simply doesn't have the capability to do something like that, it can only make small adjustments.
i mean it would be awesome to use it for mappers to be able to automatically validate and set author times on the maps
@@eightheve Yah it can, you could just tell it to go on the path you're trying to use (red line linesight talked about) and see if it works
Trackmania AI youtube videos are the reason why I am so invested into learning Neural networking now. This amazes me. You're amazing. I'm already subscribed, but if I could, I'd subscribe twice.
You can...
Sub #2 = Patreon
But there's MORE!...
Sub #3 = GoFundMe - Contribute towards PC upgrades.
Sub #4 = Secret OnlyFans 🤫- Can't imagine of what 'Content' could possibly be posted here that's Trackmania themed? AI can. 😉
/s
Well. Its more like a genetic algorithm approach than a neural network application
@@pahom2You do realise that what u said just makes you look silly, right? If you’d the slightest idea how this AI works, you’d know that it is definitely a neural network. The genetic algorithm bit is (one part of) how it’s trained, not how it runs. Saying it’s one thing or the other just doesn’t make any sense; it’s not even wrong, it’s just daft.
Best trackmania video I've seen in a long time
Amazing job, huge effort and it's so nice to see how far your ai is coming. It's like watching your child learning to ride a bike or something
This is one of the most interesting, well presented and entertaining videos I've watched on UA-cam in a long time, and I've never played the game! I have however kept up with a few videos coming out about the game over the last year. What an exciting prospect; bravo!
I am speechless
@@ExhaustedPenguin I had to deeply think about, it was really hard but I managed to write it
Damn you for beating Rollin's 56.86 before we released the video!! Also nice run by the way :)
I have no idea about the viability of a D06 run with 2 laps intended way + 1 lap cut, what do you think about it?
@@linesight-rl ahah sorry about that :D
In my opinion it would give a huge advantage to the AI to do that 3rd lap jump, it clearly doesn t need for the 2nd one but at least, since you have to release otherwise, the last jump is very doable for the AI and would add an extra 1 or 2 seconds to the ai
@@loupphok what do you mean by "doable by AI"? robot always do perfect inputs, yes, but with current approach discovery is questionable. getting 'some' jump is not a problem for AI; problem that human can understand 'oh I see i can make it eventually' while AI punished over and over at mistake and not progressing on discovery. So... in theory AI can discover jump but as DL engineer I feel it will be very unlikely. Especially other 'brother competitors' of current model will finish the map. Discovery of jump only can found by AI if there are no competitor model that progress further IMO. (like with gamma anywhere greater than zero ofc)
Me: would be interesti...
Linesight: in the future I could try TAS records
One of the best videos I've ever seen, i was ready to watch the whole campaign in this format
Can't wait to see what's in store next for this incredible project. It has truly been a journey and I have a feeling that the next instalment in this great saga will be truly a marvel to behold.
Honestly this is ASTOUNDING! This AI is in a league of its own. The wheel clip for the trial map was simply incredible. Well done!
Thank you for working so hard to improve the game and whats (in)humany possible. Incredible job🔥🙏
great job not only on the A.I. but also on the video, always good to see people put on so much effort, hope this channel keeps growing, can't wait for future videos
Maybe not something zero shot but more like how we currently use llms
Maybe have a model that is trained on a ton of different tracks(base model) and then fine tune it for the one it's currently attempting. This could lead to a large reduction in training time. Possibly even something use something like a Lora adapter so that only a few parameters have to be trained, and the rest can be frozen. This would mean the hardware requirements could be reduced while actually having a larger base model(no gradients and other training parameters in VRAM).
Just freeze everything except the last couple layers and then train on the track for a few iterations. This can be done easily in keras or pytorch or whatever hes using.
I was thinking similar thoughts how very inefficient all the Trackmania AI is when they're training from scratch every time they do a new track.
@@mithril_leaf well, that is how humans do it as well. People spend hours learning a track trying different lines and grinding. We just start out with more generalized knowledge and then take longer to optimize.
A human trying a track ten times will get a better time than an AI without prior knowledge but given enough attempts the AI will do better.
The editing is amazing this time around! Crazy improvements
Wow! Thank you for your work. This is so satisfying to watch! Keep 'em coming.
I appreciate the really well informed video and the inclusion of the crazy stuff people are able to come up with, it's really nice to see someone in AI really proud of the work of people too.
Well done, that's insane progress. Can't wait to see how good it will get at reading new maps
This was awesome, not just the AI, but also really well put together and presented. Having recently started video editing myself, this is so much above what I currently could reasonably do
Looking forward to your next video :)
Please give us academics among your viewers a deep dive into the tye technical details. This is mind blowing cool and would love to know how you solved many of the problems
Can't wait for the next part! Awesome job man! Years of records destroyed in days.
Video edits are also top notch! Really enjoyed that.
Amazing job, I loved the editing :D 14:10, and was surprised at the significant gain on D06 with just pure driving skill.
I'm waiting for Rastats' comment 😏
@@-_-LouLou1234-_-
That was listed as a next step. Not something that has been done.
I think Linesight just wants Rastats to respond to the challenge being accepted, but IDK.
Amazing improvements since the last videos! And great video again! Bien joué :)
I was SO waiting for this!
what a great video. excited for the next installment
Great vid! Your presentation has improved a lot and the idea of multiple cars of the same run is a BANGER idea! Can't wait for you to put AI to even more maps.
Only 5 minutes in and I can already tell this is a great video, almost on the level of Wirtual’s videos which is something the majority of Trackmania content creators struggle to accomplish. Be proud for what you have created and strive to make more content like this❤
As a developer, this video has me worried about my job security. You probably think I'm referring to AI taking my job, but no. I'm talking about people like Agade and pb4 massively raising the programming bar! I feel pretty bad putting my dopey little pet projects on a resume after watching stuff like this!
Since you want to open this to the community, maybe it is worth to look into distributed machine learning: The learning process can be run on multiple machines in parallel and at any time the partial solutions can be sent to some master NN that combines all of them.
This was both so interesting and so entertaining. Really great work dude
Fantastic video and astonishing AI! I didn't think it would get this good this quickly. Having one system capable of learning the different tracks is impressive. I'd love to see a single general model playing next. Im looking forward to the code release 👌
I really appreciate that you know what you're talking about compared to some of the new "ai creators" who are glorified prompt writers... that aren't even really good at prompts
Now for the ultimate test: unleash it on Deep Dip!
it currently cant run in TM2020 since it uses TMinterface which is a tool only available in TMNF.
@@poruzu That's a shame, I'm just picturing a cascade of AI cars falling everywhere
This was incredibly well made, with so much effort. Thank you for keeping UA-cam good.
sublime editing, great information and an all around awesome video! I may not know much about trackmania... or AI.. but I still loved this.
You know what would be a cool project. You could set up some code to scrape all the world records for maps and used those records to generate your race lines, and deploy your code to some sort of compute cluster. Then you could have it automatically grind every WR
OMG am an IWO memeber too
You need to beat a cut WR with the intended way, membership is probably even harder than FWO 😅
Fascinating video and amazing production quality. Thanks for sharing!
Really excited for your progress. Keep it up mate.
Trackmania and computer science are evolving... First there were normal runs, then FWO joined the game and cuts got mainstream, then more and more tricks were found, kacky joined the game...
Then everything evolved and now we have TAS, which is not that new, but it really got mainstream in TM too, and now I see AI evolving. I just love it.
Oh no, ai is even taking over tm now..
Very nice production quality of the video. And the content is outstanding of course!
The topic AND the editing of this video are crazy !!
As impressive as this is, it just kind of takes all the fun of trying to discover new runs and beat records when you can just learn and copy these runs lol
Started watching your videos for the AI, but god damn your editing is also super good!
dude
you put so much work into making this a good watch and it shows
This is so incredibly fascinating to watch and see how the AI/training is progressing.
Awesome video! Very interesting subject, keep on this amazing work
Awesome content with the right amount of technical depths into AI technology, keep going!
Awesome work
It’s so cool to see AI play video games like this great work
Amazing video. Really enjoyed it, looking forward for the next video.
I had a blast watching this video, keep it up
i don’t usually comment on youtube but the video was so great, you explained very well and the montage is so clean keep the good work !
The roadmap looks interesting and I'm very looking forward to the deep fear run!
This is one of the most impressive AIs I've seen so far. How it manages to find wallbangs and that wall clip on the trial map still baffles me. Nice work!
this is insane. Really good work !
Amazing work gone into this. Nice one 🎉🎉
can't wait for the next one this is amazing!
I love programming and AI stuff and you are absolutely smashing this category. You need more subs and views
Very impressive, keep up the work !
Very interesting video! Well done and well explained! Keep up the good work!
Great Story telling
Great Showcase
Great Idea
-> I want more of this !!
Awesome video! You deserve more subs for how high quality this is. You've got me signed up!
Man thanks for doing all this work, i know its for fun only, but it also helps to put capabilities of A.I / Neural Networks / Reinforcement Learning into perspective.
I'd love to see a "outtake" Video on some of the struggles you were going through, like with the Punishment being to high for the AI to actually take risks.
Keep going, this is gonna be amazing going into the future.
What a well made video. Thank you for your work!
This is super cool! Thanks for sharing.
Congrats on the awesome work! I follow your work as a fan of racing games and gamedev. So proud of the results, and to hear you are wanting to open source the code to get help from the community is just even more respectable!! THANKS!
This is an amazing video! Great story telling and pacing. This should have way more views.
Amazing video, thank you for your work!
Amazing work, your AI has come a long way and I'm excited to see how far you can push it, it is certainly exciting to see what different AI's are capable of and the future of AI's in general.
this is mind blowing to me. thanks for your incredible work
Very pleasant arrangement on the video. Nice presentation, segmentation, explanation. Well done! I've been following this for quite some time now. Let's see how far you can take this!
PS: I totally dig the music!
Man, you are the best! This channel is sooo underrated.
great work and great vid. Keep it up!
Impressive and entertaining work, thanks!
Video + nicely(illustration+demonstration+explaination+presentation)= 1 New subscriber Well done !!!
Amazing work!
Great content! Please, keep it coming
the video editing and graphics were great!
spectacular AI my friend with some amazing results.
I would love to see the AI try deep dip 😅, love the videos!!! Keep up the good work 💪
Really well edited video
You did not trained AI.
AI does not exist, stop using words you do not understand.
People will start to think YOU do not have "I".
Not the pin of shame lmao
The pin of shame always gives me a chuckle. You love to see it!
realistically we're talking semantics
I mean they are right, AI doesn't exist.
@@AnymMusic please, its 2024, say sepersontics