Dingus the Deep reinforcement learning cube learns to push a boulder up a series of increasingly difficult hills
Пікірлер: 1 000
@revimfadli46667 ай бұрын
One must imagine Dingus happy
@Dingus_Labs7 ай бұрын
Legends say he was happily pushing boulders even before he was put into this strange simulated environment.
@christianottley85427 ай бұрын
One must imagine dingus upside-down, its hilarious
@Scratchydoesmusic7 ай бұрын
@@Dingus_LabsHmmm...
@totrox24457 ай бұрын
I knew this comment will be here as i saw the title of the video.
@The_Cheez7 ай бұрын
Dang it. He beat me to it
@zawarudo4977 ай бұрын
it acts so convincingly distraught whenever it loses the ball
@ShrimpFry_Cute7 ай бұрын
He lost his ball. Why do you think he’s not distraught. I would freak out if I lost my ball too.
@frowner_and_co7 ай бұрын
He so sad 😢
@nicolasn127 ай бұрын
boulder*
@alansmithee4197 ай бұрын
It doesn't know what to do so it acts chaotically. Humans do the same. We just also get distressed because our brains recognise the problem. We don't act chaotically because we're distressed, it's just that acting chaotically and getting distressed often have a common cause - we don't know what to do.
@manboy47207 ай бұрын
@@alansmithee419 so you're saying that dingus is the next stage in human evolution?
@KaufmoTheCIown7 ай бұрын
Give Dingus a top hat that progressively gets taller every video.
@paper1777 ай бұрын
YES
@paper1777 ай бұрын
but wait nono one that gets taller everytime he gets a reward
@revimfadli46667 ай бұрын
@@paper177 then one no longer needs to imagine Dingus happy, for he is actually happy
@paper1777 ай бұрын
free hat
@AnUnfortunatePotato7 ай бұрын
@@paper177is that dimmagingus, owner of the dimmsdale dimmadingus?
@no-brainer-gamer7 ай бұрын
I never thought I would hear the sentence "There are, in fact, 54 other dinguses training in the exact same level at the exact same time" that caught me off guard
@rennegaddefoxxe7 ай бұрын
Dinguses, or Dingi? (Din-guy?)
@wrjtung34567 ай бұрын
Please have seggs with me no brainer gamer
@frowner_and_co7 ай бұрын
@@rennegaddefoxxedinguses is an actual word so let's go with that until we get comfirmation
your right! the plural of dingus would be dingi I didn't think about that...@@rennegaddefoxxe
@exLightningg7 ай бұрын
I always enjoy these machine learning videos but at the end I always wish they'd run the trained AI through all the levels/courses again.
@garchamayne42547 ай бұрын
Definitely. Want to see the difference between the new and final ai
@mondongoloco79027 ай бұрын
Wtf is ur pfp
@arend87857 ай бұрын
yeah, or maybe a final level with all the elements from previous levels
@222patapon2227 ай бұрын
I was coming to the comments to ask exactly this, @Dingus_labs can you please show us Dingus going through all the levels with his new found knowledge?
@exLightningg7 ай бұрын
@@mondongoloco7902 Oh it's a little fella that appeared on an image I AI generated. Full image: i.pximg.net/img-original/img/2023/02/12/21/34/03/105319111_p10.png
@asshizu7 ай бұрын
It's incredible how fast this ppo setup learns. I've never seen anything like it. Reinforcement usually takes much more trial and error and training time.
@asshizu7 ай бұрын
What inputs did you use?
@nikkiofthevalley7 ай бұрын
I have a feeling that there's a couple hundred instances running in parallel.
@imakething7 ай бұрын
55, he says so
@Dingus_Labs7 ай бұрын
Yeah 55, he did still learn super fast, I didn't have too many inputs or actions for him to perform which does help with learning but it was still far ahead of what I expected
@skeleton8197 ай бұрын
@@Dingus_Labsit seems like dingus doesn’t struggle with overfitting, thats something ive never seen on any other ai vid. This is super cool dude
@dariocampanella79927 ай бұрын
I can easly imagine AI taking over the world and having this guy to push boulders for the rest of his life.
@LordCrate-du8zm4 ай бұрын
One must imagine Dingus Labs happy.
@Triikouu7 ай бұрын
the robotic urge to push a boulder up a hill for eternity
@preistestdragon46347 ай бұрын
when dingus finished all the levels i think it would have been interesting to see you put him back at level 1 and see how all his training thus far would have affected him from the start.
@Junkkie7 ай бұрын
One must imagine Dingus happy. Or speedrunner
@laula8137 ай бұрын
Or combine all levels into a mountain.
@eli39637 ай бұрын
For sure. I believe reinforcement learning is pretty prone to forgetting.
@Dingus_Labs7 ай бұрын
There's definitely a risk of overfitting, where the AI has become to specialised for a specific task and struggles to solve more generic problems. Particularly for the last level where he trained on it for a long time and learned to stay very close to the centre.
@tsunertoo91496 ай бұрын
Maybe try something where instead of just static stages you set parameters and generate a seed kind of like a rogue like? That way it could potentially force the AI to try and use general information rather than fitting to a stage.@@Dingus_Labs
@haroldas17 ай бұрын
It would be interesting to see a course where it starts with a path forward, but that path is not possible. It is required for you to backtrack behind the start to progress
@Dingus_Labs7 ай бұрын
Yeah, depending on how the model has trained and how the reward function is programmed it can really struggle to adapt to situations like that!
@Speed0017 ай бұрын
So a maze
@vincenttrigg45217 ай бұрын
@Dingus_Labs I could imagine it working if it knows things like going from point A to point B (aka start to finish). Basically have it have a target location to go to (like the top of the hill here) and once it does that, the map changes its "finish" location. I'll use emoticons here as a diagram. 🟨 map ⏹️ end location 💗 Dingus 🟢 ball 🟦 obstacle 🟥 off map 🟪 reward location 1️⃣2️⃣3️⃣4️⃣ segmented finishes (Basically larger rewards or finish locations that change places once reached) Part 1 🟥⏹️⏹️⏹️⏹️⏹️🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟪🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟪🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟢🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨💗🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥 Part 2 🟥🟥🟥🟥🟥⏹️⏹️⏹️⏹️⏹️🟥 🟥🟥🟥🟥🟥🟥🟨🟨🟨🟥🟥 🟥🟥🟥🟥🟥🟥🟨🟨🟨🟥🟥 🟥🟥🟥🟥🟥🟥🟨🟪🟨🟥🟥 🟥🟥🟥🟥🟥🟥🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟪🟨🟨🟨🟪🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟢🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨💗🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥 Part 3 - round 1 🟥🟥🟥🟥🟥⏹️⏹️⏹️⏹️⏹️🟥 🟥🟥🟥🟥🟥🟥🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟦🟨🟨🟨🟥🟥 🟥🟥🟨1️⃣🟨🟦🟨4️⃣🟨🟥🟥 🟥🟥🟨🟨🟨🟦🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟪🟨🟨🟨3️⃣🟨🟥🟥 🟥🟥🟨2️⃣🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟢🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨💗🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥 Part 3 - round 2 🟥🟥🟥🟥🟥⏹️⏹️⏹️⏹️⏹️🟥 🟥🟥🟥🟥🟥🟥🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟦🟨🟨🟨🟥🟥 🟥🟥🟨1️⃣🟨🟦🟨3️⃣🟨🟥🟥 🟥🟥🟨🟨🟨🟦🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟪🟨2️⃣🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟢🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨💗🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥 Part 3 - round 3 🟥🟥🟥🟥🟥⏹️⏹️⏹️⏹️⏹️🟥 🟥🟥🟥🟥🟥🟥🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟦🟨🟨🟨🟥🟥 🟥🟥🟨1️⃣🟨🟦🟨2️⃣🟨🟥🟥 🟥🟥🟨🟨🟨🟦🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟪🟨🟨🟨🟪🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟢🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨💗🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥 Part 3 - round 4 🟥🟥🟥🟥🟥⏹️⏹️⏹️⏹️⏹️🟥 🟥🟥🟥🟥🟥🟥🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟦🟨🟨🟨🟥🟥 🟥🟥🟨🟪🟨🟦🟨2️⃣🟨🟥🟥 🟥🟥🟨🟨🟨🟦🟨🟨🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟪🟨🟨🟨1️⃣🟨🟥🟥 🟥🟥🟨🟨🟨🟨🟨🟨🟨🟥🟥 🟥🟥🟨🟢🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨💗🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟨🟨🟨🟥🟥🟥🟥🟥🟥 🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥
@sophiekarp15565 ай бұрын
I think I have a bunch of Dingus cubes running my brain
@MatthewConnellan-xc3oj4 ай бұрын
Well, use reinforcement learning on them for the next 3 years.
@invader_guy11717 ай бұрын
I think you should've added a level where the boulders rolling in the opposite direction are randomized, cuz it looks like it just memorized the pattern in which they're rolling down instead of associating the boulders with moving out of their way
@Slappydafrog_7 ай бұрын
the problem with that is that dingus has no vision. He's like a little blind man with a ball for a walking stick. if he loses it, he has no idea where he is
@Juuls047 ай бұрын
@@Slappydafrog_that makes no sense? Thats just not true and has nothing to do with the comment you replied to
@JerryHarding2287 ай бұрын
I was going to leave this same comment. I would also want to see things like the ball/dingus spawn points on the start platform being randomized
@Juuls047 ай бұрын
@ it literally says in the first sentence of the video that it is deep reinforcement, which means he does have vision and that vision has nothing to do with the ball
@jessh40167 ай бұрын
@@Slappydafrog_ 0:06
@Roover81387 ай бұрын
In a way, we’re all just like Dingus
@dingus29247 ай бұрын
I dont remember pushing this boulder
@nicooftheforest7 ай бұрын
this was the most emotional video i've ever watched watching dingus fall off at the very end made me cry and when he succeeded i was so proud of him 😢
@AlexandHuman7 ай бұрын
With these AI trainers that have levels, I really would enjoy if at the end of the entire training sequence, we could get a nice all--previous-levels-in-one level that Dingus could do. It would be so satisfying to see all the training pay off on what we've already seen to be really hard at first become easy at the end
@snowysalt7 ай бұрын
I have a fun idea you could make a live stream of dingus pushing up a boulder a long track while chat messages can cause boulders to roll down and mess with him
@Dingus_Labs7 ай бұрын
I've thought about some live stream stuff! I'm not in a position to do it right now but I'm hoping to have the opportunities sometime in the coming months.
@Gamesux4217 ай бұрын
So theoretically, if you let the AI run for long enough and teach it to get rewarded with faster times it would become the perfect speedrunner
@Delmworks7 ай бұрын
In theory. I’m not 100% sure you could teach an AI to use glitches or exploits, nor could it find them on it’s own
@isleepy68017 ай бұрын
@@Delmworks I’ve seen reinforcements algorithms frequently find glitches/ exploits. I’m an ML Engineer.
@coldbluebrownie6 ай бұрын
the fastest sisyphus
@kingmo5654 ай бұрын
Somewhere there's an operator looking at you on screen and commenting on it as if you were named Dingus and constantly messing up. Awesome video!
@GlorifiedGremlin5 ай бұрын
6:35 It's literally like Naruto training with shadow clones and then absorbing all their experience 😂
@moonsinger3337 ай бұрын
wow it's kind of a crime you don't have more subs!!! i'll have to keep an eye out for more dingus content, watching this video and cheering on a cute little ai pushing boulders delighted me very much
@brentramsten2497 ай бұрын
having the ability to actually read its environment seems to have drastically increased the speed of the learning process. it at the very least seems a substantial improvement over 'blind' learning
@speenta48797 ай бұрын
I don’t know much about this subject what do you mean by “blind learning”?
@brentramsten2497 ай бұрын
@@speenta4879 its when the ai has access to only the 'success/fail' information of its task. without some means of 'seeing' its environment the only thing the ai can do is spam random inputs until it gets a reward for accomplishing one of the preasigned tasks. when you give the ai the ability to determine what objects exist around it, it can actually use that information to make decisions. when you give a blind ai a new level its basically impossible for it to beat it first try. but if the ai can 'see' and is very well trained it can do a level its never seen before and first try it with relative ease
@speenta48797 ай бұрын
@@brentramsten249 oh that’s interesting so some ai doesn’t get information on it’s surroundings and only learns based on trial and error?
@brentramsten2497 ай бұрын
@@speenta4879 "most" non-blind ai is so unusual that im actually surprised when i hear about one that does. theres a decent handful that get some very basic stats feed into it, but one that can actually see stuff around it even somewhat like a player playing a video game. then again i dont keep up with learning ai very much anymore... so maybe thats changed
@nikkiofthevalley5 ай бұрын
@@brentramsten249I've seen more "non-blind" AI than "blind" AI. I have no idea what gave you that idea.
@minecraftperson84127 ай бұрын
Dingus: what is my purpose? *You push rocks up hills* Dingus: Oh god
@icht63487 ай бұрын
Dingus master of the shadow clone jutsu using 57 clones to speed up is learning pace. One must be proud of this dingus and his vast chakra reserves.
@mythalda00407 ай бұрын
woah, this is some high quality content, this man deserves more subscribers
@FurretAnimationsIsEpic7 ай бұрын
agreed
@arceyplayz7 ай бұрын
I now want to see a video of Dingus dealing with openings where Dingus can walk through but the ball cannot, and things like marble rails where Dingus can't walk on but the ball can, so basically, Dingus needs to learn to let go of the ball. That would be VERY interesting to see and another thing I want to see is alternate paths. Have a LOT of paths and see which one Dingus prioritizes? The easiest? The fastest?
@hehrhrthgthtgggrg48415 ай бұрын
car
@sophiethesnail7 ай бұрын
bro created an intelligence purely for it to suffer eternal punishment
@krembananowy7 ай бұрын
I just watched some of your first videos and this one. Your editing and commentary these days is a vast improvement! Keep up the good work!
@jonaw.21537 ай бұрын
You dingus! You've automated the indomitable human spirit! Also, how'd you make this visualization?
@Dingus_Labs7 ай бұрын
He never stops trying (until the specified Max steps have been hit on training the model). By visualisation do you mean the rays coming out of dingus early in the vid?
@Vallee1527 ай бұрын
People never show the final AI doing all the levels again
@Dingus_Labs7 ай бұрын
He would very likely struggle, the changes to the model after he's finished a level means he'd likely need to relearn for a bit when he goes into a different level
@danival20907 ай бұрын
@@Dingus_Labs I'd love to see that!
@user-cd4bx6uq1y7 ай бұрын
Interestingly this felt like a news segment
@rennegaddefoxxe7 ай бұрын
"The Dingus you are watching is not the only Dingus training at this time." THERE ARE MULTIPLE DINGI!
@EpicVideos27 ай бұрын
What algorithm did you use? Also, are you able to open source the boulder pushing environment? I'm researching hiearchical reinforcement learning and planning and your boulder environment could be a pretty useful benchmark.
@Dingus_Labs7 ай бұрын
I use ppo, If you're keen to learn deep reinforcement learning hands on, I highly recommend mlagents toolkit for unity, it comes with tons of examples, already set up example environments and proper readmes with set up steps. Awesome for learning!
@assassinunknown66647 ай бұрын
He used 54 other dinguses
@wyndhamwynne24807 ай бұрын
@@Dingus_Labsdo you have a shared repo for this project, which I could learn more about PPO RL from?
@Dingus_Labs6 ай бұрын
@@wyndhamwynne2480 I'm apprehensive to share any repos because I do make use of some commercially purchased textures and models, and they restrict redistributing, which means I'd have to find a different way to store those files and share, and people using the repo would still need to replace those missing assets with something else, I don't yet have a simple and quick solution to that issue.
@wyndhamwynne24806 ай бұрын
@@Dingus_Labs that's a shame but understandable. Personally, I'm not interested in any models or textures, or even trying to reproduce locally, I'd only interested in reading through the code and learning more about deep reinforcement learning and specifically ppo. It's mainly the architecture design (width & breadth) for particular applications and the cost/loss function and back propagation to weights & bias adjustment that is unclear to me. Any references in these areas to good learning material would be greatly appreciated!
@ruaskuma75157 ай бұрын
It would be cool if u made this into a game where people train their own ai on their own maps and then u release a map and see who trained their ai to beat the map the quickest or last the longest in a tounament. I think it would be pretty fun. Great vid btw.
@eugenekrabs1417 ай бұрын
i need one of those youtube boxing tournaments between Dingus and Sisyphus
@lucasroberds72426 ай бұрын
You have shamed, and embarrassed dingus with these unusual trials. He and his brethren will come back in full force to extract vengeance.
@CobbleDohickey-kv4my7 ай бұрын
one must imagine dingus happy. 😔
@milliemurrell60727 ай бұрын
this is really cool! i'd love to see one of these AIs try going up against harder and harder bullet hells
@coolestkid34357 ай бұрын
im so happy this video did so well, i love your content and you need more people watching you!!
@dogpotato9727 ай бұрын
Adorable character, good editing, good narration. Watch this man blow up.
@chris_piss7 ай бұрын
Would have liked to see him go back to the other levels after beating the last one to prove he actually learned all the skills instead of overfitting to each level. Am also curious to see the source code for the network
@catwithlonghair18507 ай бұрын
Wow this is amazing, more people should see this!
@phrygianphreak44287 ай бұрын
Dingus: "what is my purpose?" DL: "You are sisyphus" Dingus: "MY GOD."
@superfunnyjoke39227 ай бұрын
Bro you’re blowing up!! Congrats man :)
@WMBCo7 ай бұрын
This could easily be turn into a game
@JulianDaEpic07 ай бұрын
this man is criminally under-rated
@ilikefrys7 ай бұрын
Fr
@dbonechis7 ай бұрын
Yo man, your content is great.
@nodrance7 ай бұрын
This could honestly work as a game
@SoggywafflesPLAYZ7 ай бұрын
Awesome video I would expect this quality from a much bigger channel! Video blowing up in 3 2 1…
@Mr_Reaps257 ай бұрын
One thing i think would have been cool was a course where he has to go down hill beckwards then back up. Wonder he that would work with the reward systems?
@Corn-Pop.7 ай бұрын
this video has been popping up in my recommended for 3 days and I've avoided it, I didn't want to watch a video of a cube pushing balls, finally I gave in and ended up watching almost 15 minutes of a cube pushing a ball, damn you Dingus
@vorttex_7 ай бұрын
Welp, instant sub. Please continue doing videos like this one
@iwantagoodnameplease7 ай бұрын
Does learning later courses negatively affect earlier ones? e.g. if you redo everything with the latest model, will he smash it first time on each course, or still mess up and have to learn a bit more?
@macizzyy7 ай бұрын
@Dingus_Labs: He would very likely struggle, the changes to the model after he's finished a level means he'd likely need to relearn for a bit when he goes into a different level
@RalorPenwat7 ай бұрын
You could probably get him to not go down the slide easily if you really wanted by adding a minor negative reward function to Dingus's height, but honestly I thought it was cute how he went down the slide too and makes a lot of sense considering the potential of the boulder sliding off the side.
@Oh_Low7 ай бұрын
the all mighty algorithm has led me to this video! i subscribed instantly. I hope to see your channel grow more and more!
@Jacksongirard7 ай бұрын
Im glad this video got blessed by the algorithm. Ill be watching all of your videos now! Good stuff ❤
@jamesbhollingsworth54527 ай бұрын
Does dingus "see" the boulders coming toward him? Does he "see" the whole map?
@wooloobutbrave91517 ай бұрын
Im fairly confident that dingus just brute forced most of the levels instead of actually learning because (read more) A: he was repeating a never changing level B: movements were mostly VERY dsimaler to the last generation C: When you double checked his boulder dodging, it completly failed D: It was predodging obstacles before even spawning
@maxwellbenedict51677 ай бұрын
yeah, you're probably right but I did notice it did some real learning as well. at 5:36, he stops at the end of the platform, which is something I believe he learned. alternatively, it could just be he picked the best one from every parallel instance and this was just the one that happened to stop.
@wooloobutbrave91517 ай бұрын
@@maxwellbenedict5167 or luck
@Dingus_Labs7 ай бұрын
Movements being similar to last generation isn't too unexpected, changing hyperparameters to encourage more experimentation would have resulted in more variance per generation, I was fortunate that he managed to get through everything with my initial settings. The predodging obstacles is very interesting for sure. And yeah, having static levels does invite brute forcing, I did make Dingus spawn in a random rotation each respawn to add some small amount of variance per run but it's not enough to counter it.
@gooscifur53277 ай бұрын
One must imagine dingus happy, the preprogrammed reward of push a boulder up hill is enough to fill a mans heart
@TurkeyMeat7 ай бұрын
I appreciate there wasn't the same patronizing basic explanation of machine learning at the beginning of every AI video on youtube here, great vid
@ricolorenz73077 ай бұрын
I'm not convinced the AI isn't just memorizing inputs to beat the levels. It seems like it remembers how to move the ball forwards, left, and right, but aside from that, it doesn't look like it's using it's senses to actually determine anything. It looks like it's just memorizing inputs.
@SteinGaming20067 ай бұрын
This video has earned my subscription
@kylesimpson38564 ай бұрын
"Think you outsmart the biggest dingus in the room?"
@Arkolob7 ай бұрын
love these videos keep making em
@aaronleeder82697 ай бұрын
Not only did you make a great video, not only did you create an intelligent ai, but you even came up with an original game idea! This actually looks fun, in a getting up or jump king kind of way!
@lance4997 ай бұрын
Getting up? you mean Getting Over It?
@aaronleeder82697 ай бұрын
@@lance499 oh yeah, you’re right.
@projectnevadas7 ай бұрын
dingus makes me emotional in a way i never thought was possible
@PaddyPAA7 ай бұрын
WE MAKIN' IT OUT OF TARTARUS WITH THIS ONE 🗣🗣🗣🔥🔥🥶🥶
@Thorcoal7 ай бұрын
Commenting to make KZfaq recommend me more stuff like this. Good video!
@DarkOmegaMK27 ай бұрын
Dingus looks like it's ready to check my vibe.
@theyellowpepper99517 ай бұрын
for 200 subs the production qualitys amazing man
@Dingus_Labs7 ай бұрын
Thank you! I'm trying my best to get better with editing!
@lymb39144 ай бұрын
I'd love to see more of your Dingus
@RealNahuelBarcelo067 ай бұрын
You should have more subscribers, this is amazing! Also I'm surprised that this is the video that got more than 10K views. Good job!
@CoratoLaga7 ай бұрын
I feel sick as all hell right now, but watching this i imagined Dingus happy and that made me happy :)
@celinhooliveira37167 ай бұрын
*clicks on the video *sisyphus meme theme starts playing
@ryanshea52217 ай бұрын
Congrats, your hard work has paid off and you've been selected by the KZfaq algorithm!
@buzzlightyearpfp76417 ай бұрын
please do more like this. much better than the previous video formats
@nolo2gogo6 ай бұрын
this was the best video ive seen in a while
@DipolarApathy7 ай бұрын
I saw your channel name and within the first 10 seconds of this video I subscribed. Excellent shit mate
@egekahraman89857 ай бұрын
even the sisyphus’s job is getting automated by ai
@gvarph72127 ай бұрын
Great video! Subscribed. I just have few suggestions : 1) add a generation counter 2) show how well the final model deals with the first few levels
@BestPranksterEver6 ай бұрын
Give dingus legs so he needs to learn how to walk and jump.
@shrekman87657 ай бұрын
Your are disgusting-ly underrated how tf are ya not at 100k?!?! Look ya have a bright future on KZfaq
@Readyfishbone7 ай бұрын
Thank you dingus👍🏾
@jayrony697 ай бұрын
You got the algorithm jackpot, gained 50 subs in a few minutes
@Voidmoth14 ай бұрын
Oh god I can already hear the countless people imagining Dingus happy
@crackheadengineer37167 ай бұрын
"A fitting end to a life defined by futile struggle..."
@doig_brainrot7 ай бұрын
Really cool to see how quick the AI learnt
@awesomegamer24307 ай бұрын
One must imagine dingus happy
@skittersspider17047 ай бұрын
Dingiphus enjoys pushing his boulder, it generates dopamine (or the virtual equivalent) in his brain. Therefore, one sees him happy upon watching him complete these challenges and doesn't have to imagine it.
@aislingspo7 ай бұрын
i’m so happy the algorithm has introduced me to dingus
@MichealAfton_jk_i_am_funniboi7 ай бұрын
"One must imagine Sisyphus happy. "
@Hiasibua7 ай бұрын
Dingus finna build some pyramids soon 🧐
@loganalbarran29625 ай бұрын
One must imagine dingus educated in the art of pushing boulders up insane hills.
@GUAR13377 ай бұрын
Thank you for the video. Btw how long did the whole project take?
@zgato57627 ай бұрын
Omg so underrated you need more subs
@colthite80707 ай бұрын
really high quality videos for such a low sub count. love this and love how this guy experiments with ai
@silent16727 ай бұрын
Banger video, shoutouts dingledongus for not giving up. What's the ambient music that starts when you show the map for Dingus' Hardest Challenge?