AI Olympics (multi-agent reinforcement learning)

[@aiwarehouse]

It took me months to make this video and it took my computer over 3 days straight to train/record the agents, I hope you enjoy it:D After teaching Albert to walk in the previous video, I read a lot of comments asking about what would happen if I used a more human way of punishing and rewarding Albert, so that’s what this video is about! Each agent starts off the same, the only difference being the design of their body. They’re each rewarded for moving forward and punished based on the efficiency of their movements (based on a muscle fatigue system), so by the end of the video they each should discover a movement that works efficiently for the body they were given. NOTE: Don’t worry, Albert is coming back in the next video, he’s hard at work right now improving his walk:) If you're interested in training your own AI like Albert but don't know how, there's now a really easy way to do it! Luda, an AI lab, recently built a web app that allows you to create and train your own AI using deep reinforcement learning (just like Albert) completely for free in your browser! You build your own character (called a Mel) with lego-like building blocks then watch it train in real-time on their website in just a few minutes (really). It's an awesome project, and just like my videos, makes deep reinforcement learning so much more accessible, which is why I love it so much. This section of the comment is sponsored by Luda, but these words are entirely my own, it's an amazing project that I would have been obsessed with had they released it before I built Albert. I've genuinely been looking for a sandbox/game exactly like this since I was a kid. They're still early, but they're giving my audience first access to their closed, pre-alpha build. Make sure you check out their site and create an AI agent for yourself!:D prealpha.mels.ai Now, back to our agents, If you want to learn more about how the agents actually work, you can read the rest of this very long comment I wrote explaining exactly how I trained them! (and please let the video play in the background while reading so KZbin will show the project to more people) THE BASICS Although it seems like there are only 5 agents training here, there are actually 40 copies of the video being simulated simultaneously behind the camera in order to speed up the training, so although the video makes it seem as though there are 1638 attempts, there are actually around 65k. Each agent is controlled entirely by an artificial brain called a neural network. Their brains have 5 layers, the first layer consists of the inputs (the information they’re given before taking action, like their limb positions and velocities), the last layer tells them what actions to take and the middle 3 layers, called hidden layers, are where the calculations are performed to convert the inputs into actions. Each agent is given quite a lot of information about its body, they’re given everything that Albert was given in the last video (which I explain in great depth in this pinned comment kzbin.info/www/bejne/gpCXc4Oggad5aqcsi=HHv3vrmgIxUGo54f). Just like the last videos, the agents are trained using reinforcement learning. For each attempt an agent has, we calculate a score for how 'good' their attempt was and the training algorithm we used (PPO) makes small, calculated adjustments to that agent's brain to try to encourage the behaviors that led to a higher score and avoid those that led to a lower score. For this video there are 6 different ways each agent is rewarded/punished, and I tried to make these reflect our normal movements as much as possible. REWARD FUNCTION Movement: Each time the agent takes action we check to see how much closer the agent is to the target and we reward them proportional to that distance. If they move a lot closer to the target, they’re rewarded a lot, if they move away from the target, they’re punished. Limb Fatigue: This is the heart of the reward function for this video, every time an agent takes an action on a limb, we punish it proportional to the strength of the movement and the current fatigue of the limb (so if the agent moves a limb that’s already really fatigued, the agent is punished severely), then we increase the fatigue level of the limb based on how strong the movement was, and with each frame we slightly lower the fatigue of each limb to simulate the limbs resting. This reward is meant to simulate muscle soreness and encourage the agents to find the movements that are most efficient for their body design, but also make for more interesting gaits, since without this punishment the agents would all likely opt for a safe shuffle and avoid taking large steps. If you're still reading this, you're probably really smart and want to learn more about Albert, so make sure to join my discord server I just made where we can talk more about the details of Albert's AI! discord.gg/jM2WkNuBnG :) Limb Hit: I wanted to punish the agents for falling over, so any time a limb that isn’t a foot hits something it’s not supposed to hit (the ground, other agents, etc.), we slightly punish the agent, and we also slightly increase the fatigue on that limb. Abrupt movement: Each time the agent takes action we calculate the average velocity of their body and compare it to the average velocity of their body when they last took action, the greater the difference in these two values the more we punish the agent, since a great difference implies abrupt movement was made, something that generally is bad for our bodies. For anyone looking to make something similar to this, this reward is really important for smoothing out the final gait! Chest up: We give the agents a small reward whenever their chest/head is in the upright position, this helps the learning converge easier, without this reward the agents might never learn to stand up and instead just learn to crawl to the target. OTHER I only allowed the agents to make a decision every 5 game ticks, which made the movement look a bit more jagged than if I allowed them to make a decision every tick. I found if I allow them to make a decision every game tick it’s too difficult for them to commit to any proper movements, they end up just making very small movements like slightly shuffling forward instead of taking a full step. The 5 game tick decision time forces them to commit to their decision for at least 5 game ticks so they end up being able to take the less safe (but cooler to watch) large steps. Though you only see one version of these agents, there were actually 40 copies (so 200 agents) training simultaneously behind the camera in order to speed up the training process. Despite this, it still took my computer (threadripper 3960x, rtx 4090, 128gb ram) over 3 days to train/record! Thank you so much for watching! These short videos take literally hundreds of hours to make, if you want to help allow us to make them faster, please consider becoming a channel member! By becoming a member, your name can be in future videos, you can see behind-the-scenes things that don’t fit in the regular videos, you can also use stickers of Albert, Kai and some other characters our team made in comments (more coming) :D Thank you so much for watching, and please, if you enjoyed the video or learned something, share it with someone you think will also enjoy it! :)

[@SosgamingYT1]

Your animations are great

[@dogedog2447]

Fr

[@nexolu973]

So long not see you How are you

[@SquareBlock5]

I’ve been waiting so long, thinking you stopped making videos, thank you for your dedication!

[@timilodeon526]

epic

[@darkacadpresenceinblood]

red throwing a tantrum in the middle of the track so now noone else can pass either was hilarious😭

[@RubyPiec]

Mood

[@Wholesome_love]

6:51 😂

[@OmniSync]

also on 8:45 💀💀

[@t4kumi704]

Typical bipedal behaviour if you ask me 😅

[@traionjones711]

AI don't have emotions so your comment isn't very funny.

[@soularzensei1754]

Purple's idea to piggy back on yellow was genius, I wish they kept developing that pattern.

[@DanTheGamingBro]

To clarify purple piggybacked yellow on 4:17

[@veredlahav3449]

The purple invented ai riding

[@_Sami__]

I think purple stopped doing it bc I saw in the pinned comment that they get punished for touching each other

[@Creny_fr]

Purple just invented parasitism

[@Bob-wd3rc]

But the video creator didn't really see the interesting side of this, instead just made another crappy joke.

[@kirkrowe2901]

This is amazing. I love Red's enthusiasm. "Yeah I love the high jump." "This is a race." "HIGH JUMP!"

[@SetterYT]

Front flip

[@SetterYT]

3:13 FREE BJ

[@mirraalex1752]

Purple should have win, Red always kick him

[@progamr4025]

Nah red deserved that win

[@everesthines2228]

​@@progamr4025 he really didnt.

[@matin563]

"Throw a baby into a pool and it will learn how to swim" - the first data scientist probably

[@DrSpoculus]

You are correct. This is basically how they train a.i. making it do random things and then telling it HOT or COLD. The a.i. doesn't have a reference visual of what walking is, so its just randomly moving and hoping it gets closer to the goal. A baby watches other people walk and uses that to try and match its own body movements, eventually walking. "This is what i want to achieve", as reference for the baby to use in its head. This could be simply done by giving a.i. an internal awarenss of it's body by giving it two 3rd person cameras. One for front view and one for side view. Then, you give it front and side view videos/frames to match to, of people walking or running. This allows the a.i. to try and match its body to the intended goal of walking instead of just guessing. It can see that it only matches front and side to the reference frames by 78% and needs to improve another 22% to "walk".

[@davidthecommenter]

i'm glad to see albert's knowledge of walking is being used to help teach balbert, gralbert, ralbert, yalbert, and palbert how to walk too!

[@neofalz7643]

Okey now its they canon name

[@tulliuscicero852]

in case i was the only one who saw it, the names are based on the colors of each one, for example yalbert is yellow and ralbert is red

[@ArThur_hara]

@@tulliuscicero852 noice :D

[@Auriacularia]

@@tulliuscicero852no way

[@LordDragox412]

@@tulliuscicero852 Yes, you were the only one who saw it, for you have special eyes. So look, look with your special eyes and spread your wisdom upon us, the unwashed masses! /s

[@Ax2u]

Purple was robbed! Constantly getting tackled by others, and starting on the disadvantageous side track with less space to manoeuvre... Where is the competitive integrity?! Red deserves a DQ for that awful, childish behaviour on run 912.

[@OmniSync]

and on run 1410

[@ankyloinc.]

They did my boy dirty 😢

[@Leon-br9yk]

ay dont insult my boy red

[@nevan2201]

YEAH #DQRED

[@Bluejaymare]

Exactly. red would always take it out on purple

[@Thomas240-]

9:16 "This fence won't stop me!" Ahh flip 😭🙏

[@wornplatypus4781]

real

[@blueknife7728]

He was on a mission fr xD

[@DizzyDash237]

me when the judge hasn't gotten her daily hug:

[@zafinafox]

9:20

[@BlueMonkeXD]

bro wanted to see if leaping was a good option

[@doctorchess801]

Red was the definition of character development Also purple being the Pixar lamp was funny tough

[@potatogoob-x2o]

I feel like red was throwing a tantrum at the end of the video because the cake was a lie 😭

[@thanemullen8023]

I have never felt so disappointed to see a video end. I hadn’t been watching the time stamp, and I was so invested in seeing them (especially purple) reach the point that they were truly racing.

[@LeoLau-ip9bv]

lol

[@Jaqubix]

This video taught me that by tackling others you can slow down their development and win over them

[@EricK-nm2gg]

It made me laugh my heart out especially red’s silly shenanigans

[@DJMetalstone]

In short , cheaters always win is what we learn from this xD :)

[@lorenzoarias]

THE CAKE IS A LIE!

[@Vtarngpb]

I see you are also a person of culture 😉

[@PIMUS-P]

Yeah, but Red will be making a note here "HUGED SUCCESS"

[@LunarIsHere_]

I said that and then this comment popped up. What a coincidence!

[@earthdinotime4548]

Congratulations, the test is now over. All Aperture technologies remain safely operational up to 4000 degrees kelvin. Rest assured that there is absolutely no chance of a dangerous equipment malfunction prior to your victory candescence. Thank you for participating in this Aperture Science computer aided enrichment activity. Goodbye.

[@shirinrezayi-l7p]

Portal refrence

[@B-S-S-Iris]

Again, it was very interesting. I felt that when Red fell, it dragged everyone down and negatively affected the learning of those around him, so if the focus was on running, I felt it would be preferable to have him run the race alone and then composite everyone's movements in later editing, etc. I was rooting for Purple's run because it was so careful and beautiful... I still wonder if the longer length of one step is more advantageous? From a Japanese fan Translated by Deepl

[@ixiepeach6787]

Purple was the only who learned how to walk properly with one leg.

[@matheusnunes970]

Exactly! After red started to fall consistently over purple track, purple unlearned how to hop.

[@wildfire9280]

@@matheusnunes970 purple lost brain cells looking at red

[@AidenOcelot]

100% I feel they could have just changed one variable to make them not collide with each other and it'd be even better

[@OminousBro]

My dumbass thought you were an electric fan from a Japanese company

[@buzzlightyearpfp7641]

you're actually revolutionizing the AI genre on youtube

[@ARockyRock]

you might be interested in carykh's evolution series

[@Jetboiiii]

yea

[@traionjones711]

Lol he hearted your comment. What a delusional loser. You really shouldn't hype up content like this. It's nothing special.

[@coolokayyeah]

It’s amazing how well the AI learns, even if it takes a while

[@RubyPiec]

It learns faster than us

[@9nikola]

@@RubyPiec Did it take you more than 1638 attempts to learn to walk? Most people manage in a little less than that

[@RubyPiec]

@@9nikola what counts as an attempt?

[@omphya6229]

​@@9nikola the ai learnt to walk in 3 days, most people take about a year.

[@9nikola]

@@omphya6229 The ai doesn't need to eat, sleep, or anything else than walk.

[@TheIris_GHE]

0:21 HELLO ALBERT >:D

[@ryanchanghomosapiens6507]

Can we appreciate the fact that at 10:18, yellow turned around and walked backwards but still went super quick?

[@AsoGamer33]

yo he moonwalked

[@shreddy_fazchair]

699 likes... guess I'll be one to ruin it

[@EntergeticalakaBot]

700 likes... I guess I saw it happen

[@BeastHighlightsOfficial]

bro is twerking

[@Kinitopettheorist]

*HE HE*

[@Pyro03333]

I love how you treat each AI as if they were your child. Your channel is just really wholesome.

[@mjvafadar2526]

He casually mentioned the fact that they made it in a way which they're in great pain when they fall and you're calling it wholesome😂😂

[@Pyro03333]

@@mjvafadar2526 true. I forgot about that.

[@wildfire9280]

@@mjvafadar2526 Spare the rod, spoil the child. (Disclaimer: Do not actually follow this.)

[@RasmusBerggren-uo6uu]

I love that red is walking around like a extremely drunk person and how he randomly keep bullying the others like purple or green. Truly a drunk Florida man

[@Bee-dog-jus-chilling]

Red is an ai florida man in disguise

[@Shadys63]

3:12 green was having a bit too much fun there 💀💀💀

[@Tako234q]

Ayo

[@Cheese_10.5]

Ayo

[@Eltiodelaslavadoras]

Ayo (chain please)

[@hilol-g4q]

Ayo💀

[@wassimeljaffoufi9980]

Ayo

[@ralmilk]

It was interesting to think about how some AI probably got steered in a less efficient direction because they were trying things and getting stuck on the other models. I wonder how differently this would have worked out if they couldn't bump into one another.

[@Jetboiiii]

yea sure is interesting

[@travisjohnson6703]

That's the fundamental limiter on all this deep learning stuff. The data set in reality is always messy and incomplete, which quickly leads "AI" down bad paths that living beings tend to suss out easily.

[@jffrysith4365]

@@travisjohnson6703 AI always faces this issue, it frequently randomises to local better locations that are actually globally worse. This is easily fixed using general annealing algorithms etc. that tend to be used in most complex AI systems.

[@BeanicusYt]

I can’t wait for all of these AI’s to get their own characters and lore. I can just imagine a cinematic universe for this channel Edit: how the HELL did this comment blow up

[@supercrazy7188]

Lol

[@froolsy]

Next video: ai fight club

[@alial3437]

This remembered me The Amazing Digital Circus.

[@chocolates_muffin]

We should make this just make a random backstory made by Chat gpt sounds good by my opinion

[@alex.g7317]

I guess, but I’m afraid content farms might yoink his idea and use these characters in the worst of ways :/

[@MalarkySparky]

Do you think it would've run differently if they were encouraged more to stay in their own lanes?

[@meizuman]

Yeah

[@yuhyuh2412]

prob for purple

[@Blue-gy2it]

11:05 bro is gonna get a villain arc

[@LOLrpop]

😭😭😭

[@TABtheomeletteguy]

He looks like he starts to cry

[@nicolaslikeswater]

Yeah he covers his eyes bruh ​@@TABtheomeletteguy

[@mf6610]

If these were developed into characters. Purple: Wild Card, Optimistic, Sometimes Lazy Yellow: Straightforward, Patient Red: Entitled, Whiney and Immature, Show-Off, But Very Determined Green: Quirky, Meek Blue: Clumsy, Curious -Purple often gets screwed over by others but stays determined -Red is slow to learn, behaves badly, and suffers from karma a lot

[@zacwoods]

Alright PacMan relax lol

[@sherryyoung3412]

good personification！

[@theenderdestruction2362]

albert is albert, he is the eldest of them all and the most learned

[@drawnwithlove3499]

This... this is literally the color gang from alan becker

[@that_guy1211]

@@drawnwithlove3499 bro, literally what i was about to type xd

[@mythbusterman8541]

Red’s movements resemble those of the character from that QWOP game ungainly and spectacular spills. The way he sabotages the rest of the athletes inadvertently or otherwise in the process of tumbling is outstanding .

[@TrueLadyEvilChan]

5:01 Red: I call this the QWOP shuffle

[@RRVCrinale]

Fun fact: that hop Red does isn't too dissimilar from the way astronauts bounce around on the Moon. It's also essentially Purple's locomotion, for that matter.

[@sergimeli4194]

I honestly felt so surprided purple performed so well. I though it want going to be able even to stand up. Amazing video as always!!!

[@debadityanath4398]

purple had the advantage of less parts, and less learning and tweaking

[@siraaron4462]

There's a reason worms and fishes evolved first.

[@Doggo_animationsreal]

Did anyone else notice the sign that said “fall down? Get up. Ai medical insurance” 😂😂😂

[@CurtisAtkinson-u2x]

Yes i laughed my head off 😂

[@Doggo_animationsreal]

@@CurtisAtkinson-u2x yeah! I did too

[@mlijah2730]

10:02 one must imagine purple happy

[@yonekobysura8440]

*intense Syphius music plays

[@mcdonaldswi-fi2720]

*Syphius picture fades in and out*

[@Grandremone]

PURPLE WON GODDAMNED

[@32zzo]

its sisyphus not syphius

[@ussrball1692]

@@mcdonaldswi-fi2720 bro switched account to recreate a meme

[@conwarlock3537]

9:21 That's a pretty solid frontflip. Maybe you could do some challenge in that direction too?

[@Soeasywhat]

Lol stupid red AI

[@khalidsamy6181]

Its like a baby just born to race​@@Soeasywhat

[@alantyto3627]

Gosh I absolutely adore these tiny AI buddies. I can almost see their personalities. Watching them go from confused wobbly wormies to successful walkers and jumpers is extremely entertaining! Your commentary is, as always, brilliant. Just like the joke in the end :) I do wonder though what happened to the rest of the team who was not able to make it to the finish line. Guess they're on the AI vacation where they're rewarded for simply lying around 😂 Also a huge thank you for the thorough explanation of your work, it's really interesting to read! Good luck in your further work, I'll look forward to the new video!

[@Cl-2048]

No theyre in a butterfly farm upstate

[@pipp2276]

11:11 red had a temper tantrum after realizing the cake was fake

[@BrunoSalazar-of5sd]

The cake was a lie "red 2024"

[@erinlouisvideos5797]

He did all of that for nothing

[@triplea007]

Starting positions should be randomised to give each ai a fair shot at learning. Loved the captions music choices.

[@ScriptManu]

To be honest, the test rooms always made me think about the game portals. That cake reference was amazing!! Love your humor in your videos. This one was amazing!! Keep going!

[@Snai1poster]

Red trying his hardest to be the favorite child

[@aiwarehouse]

Thank you so much!!:D Red may have tried his hardest but nothing compares to Purple

[@khamvanhnanthavong4784]

By the way, what was green doing?

[@khamvanhnanthavong4784]

At 3:12 😏

[@parvitz]

I see an issue here. How is the four-legged one being punished? It's almost impossible for it to fall over. It may make it less efficient at recognizing what NOT to do.

[@kissmiasma95]

Came here for this comment.

[@Wallibear]

can we appreciate the effort albert puts into these videos

[@tainted2141]

Noooo wallibear became an ai

[@ethanlong1075]

Didn’t expect to see you here!

[@traionjones711]

Minecraft youtubers annoy the hell out of me ngl

[@traionjones711]

Can we appreciate the lack of effort this waste of space puts into the garbage slop he calls content?

[@traionjones711]

Also Albert is the channel mascot, not the channel owner. Moron 🤣

[@enderjed2523]

If you ever do another one, here's my suggestions: 1. Make the AI not collide with eachother, this will avoid dirtying the training set. 2. You could try using the old Albert agent/model (or other old agents/models) as a comparison 3. And in terms of ideas for other models, you could try a 6 or 8 legged model, alongside a spring-esc/jellyfish model that I've seen in old Framsticks simulations

[@pitori.]

Those are all cool ideas Exept for the first one cuz funni

[@enderjed2523]

@@pitori. It reduces comedy, sure, but it's more scientific. Besides, in final races the collisions could be turned back on.

[@womp47]

@@enderjed2523 how would they be able to adapt? they should be able to learn with collisions, and need to adapt to the other contestants

[@c3caine]

its funny watching them crash@@womp47

[@Isperada]

​@@womp47 depends on how they set it up. If they put in inputs that tells the AI that they collided with other AI then they might be able to handle it. However if they didn't the AI will have no clue that they were being interfered with and just believed what they were doing was wrong, even if what they were doing would have got them further, making them unlearn their improvements.

[@HitSpaceGD]

9:14 was a PERFECT music buildup

[@Kalelgg]

FRFRFRFRF

[@Nomnomnom1234-o2k]

I like how the fact purple proved that no matter how many obstacles. Dangers. Or things like being tackled.. He still kept goin and got very close to the end... Purple be strong bro

[@WalrusQuake]

I noticed that since the separate AI models can collide with eachother and start each run with relatively the same behavior as the previous, an AI could use another's strategy to create an advantage for themselves. I noticed red started to lean on yellow around 2:50 to get a boost.

[@chrisvdmeer]

yeah if they would have trained seperately it might have been different.

[@b_2tty]

Yeah just like how purple tried to ride yellow in 4:18 😂

[@regularrobloxtuber]

I love how he colors some of the words red if the AI does something bad , Yellow if its okay And green if its excellent

[@burningtank160]

They are not identical, they are each special in their own way 😁

[@doob.]

i am special

[@MJRuda]

​@@doob.yes

[@ChronoNewton]

​@@doob.yes

[@OriginalRadEdits]

@@doob.yes

[@steelsalmon9121]

@doob. yes

[@joelthoma9491]

3:13 NAH GREEN GETTING FREAKY

[@SwagMessiahHimself]

He's giving head

[@megantn]

So that wansnt a third leg...

[@lastwish1441]

He’s trying to get that motivation 💀

[@sigmacokester]

freakgreen is calling👅💦💦

[@dimglow]

11:09 you lied about the cake, now he's crying 😭

[@AltoRed_]

IEIEJEHED THE CAKE IS A LIE THE CAKE IS A LIE THE CAKE IS A LIE THE CAKE IS A LIE THE CAKE IS A LIE THE CAKE IS A

[@zhantaufik]

He really looks like he is hysterical

[@delta1234s]

The cake is a lie 🎂

[@ThisManlyFlower]

too little people catching that obvious portal reference lmao@@delta1234s

[@CentroBBerry]

“You’re kind of flopping around like a worm” What do you expect? You gave him the body of a worm!

[@rodlah6205]

10:30 when you try to run from a monster in a dream

[@bobblab]

Bruh💀💀

[@zackyep]

​@@bobblabbruh 🎉🎉

[@SpitfirinHurricane]

frrr

[@Door_On_Youtube]

Relate, I couldn't even stand properly

[@Diego_Pato]

Love how Albert (Orange guy at the end of the race, protagonist of al the other videos in this channel) is just chilling at the end

[@jaden_playz805]

7:13 purple just “resting” 😭😭😭😭😭😭😭😭😭

[@Bacon_1672]

what

[@나-x5n9e]

lol

[@melvint-p9500]

he's had enough

[@TheAbsolutelyRealInsanity]

he wasnt resting he was doing the deed to himself

[@owenplays3770]

Blue though

[@skevoid]

Having collision between the different agents adds a level of randomness that seems like it would severely hamper the learning progress.

[@billy4301]

but falling is funny

[@ballingcuber1170]

I was rooting for red from the start and honestly halfway through I thought I made the wrong decision, but when that man came jeeping and juking thru the other competitors on good pace and crossed that 100m mark. I cried a tear of joy

[@eugenioreale7588]

no bro im sorry he removed from the video the part where purple won :(

[@gamerits]

gaslighting is real

[@everesthines2228]

@eugenioreale7588 no, Purple didn't reach the end in time. Red won.

[@jxton_]

​@@eugenioreale7588purple didnt win it ran out of time 💀

[@LegoPrinceOfAllSaiyans]

@@eugenioreale7588 purple didnt win bro, he ran out of time

[@ÞeOfficialCeresouslyAnimatesYT]

9:21 red’s strategy: *F R O N T F L I P*

[@dazza-n7h]

Now I just want to see these five AI’s learn how to work together…Similar to Albert’s puzzles!

[@Alan_Thingz]

11:00 The cake is a lie.

[@SuperBee3]

Small detail. The cake is shiftted.

[@GDnobrain]

NOOOOOOOO

[@SteffenHausB]

Not many portal players here, as it seems.

[@logaloots]

it was in one of his vids too

[@joelconsulta2482]

guts and blackpowder animater commento in ai race momento Edit

[@Mar_Marine]

This was an absolutely delightful video! It was extremely entertaining how each body took a unique personality - I found myself rooting quite a lot for Purple as they really put the effort in! I can't wait to see Albert's return, and maybe the return of our newfound friends here.

[@IWTNM]

4:52 "im tired i need rest"

[@lolnt6103]

4:18 Purple learns horse riding

[@imaMONKE725]

red was so smart, messed up the others so that their good habits weren't rewarded as they wouldn't get far due to the red's sabotage, meanwhile red couldn't be sabotaged and could learn without major problems

[@its_Hazer]

I smell someone's boutta make an amogus joke

[@luchirimoya]

​@@its_Hazerin 2024? I sure hope not 😭

[@THEMIIMMMIIICCC]

Its because red learned the way albert learned

[@redthered279]

Red sabotaged the others?? amogsus reference??

[@imaMONKE725]

@@redthered279hazer was right all along

[@Pumble27]

Thats whats incredible, I love it. And as programmer I know that this could take months of work, so I hope this little tip help you to keep doing this beautiful job.

[@aiwarehouse]

Wow, thank you so much!!:D

[@AnimationsAndOtherStuff]

You are amazing!

[@ngjayden7199]

That a much dollar

[@JanLeoDeAsis]

6:57 red is the imposter! He sabotaged purple! 😂

[@snowy_the_wolf]

at least green helped purple

[@amberslime3683]

The 100 Meters AI Race - A Summary of the Competitors (From 1 to 5) (Contains Spoilers) *Purple* Purple is the one-legged fellow with one eye. They have a major, major problem with balancing, one that prevents them from actually being able to race most of the time. When the stars align and Purple is actually able to begin racing, they use swift short hops that are remarkably consistent... so long as he doesn't bump into anything. *Yellow* The quadruped. Yellow was the first AI to figure out how to properly race, and has proven to have the most stable gait. Once Yellow figured out how to walk, there was nothing that could make him fall over that I could recall. Unfortunately, Yellow is extremely slow, and unless we're talking about a competition between tortoises and hares, slow and steady *does not* win races. Yellow also has this strange obsession with walking along the fence. *Red* The one who's form mimics that of Albert, the Most Heavenly and Holy Strider. Red has precisely none of Albert's grace and coordination, having a false-start rate that's as bad as or perhaps even *worse* than Purple's. When Red does manage to figure out how to use the holy form they were blessed with, they use either some sort of strange tip-toeing walk or big, lunging gallops. *Green* The tripodal unit. Green is just behind Yellow when it comes to stability, and just ahead of Yellow when it comes to speed. Green's most notable accomplishments include being the second one to figure out how to stand stably and that one time they got stuck doing a headstand. *Cyan* There's a fifth racer? What're you talking about-- Oh, that one! Yeah, Cyan is shaped sort of like a Goomba, essentially a head and two legs. Cyan... look, Cyan might as well not even be there. They have one notable trait, and that's that they tend to walk down off of the track assuming that they go on for long enough. *And the Winner is...* RED! W-Wait, Red? The one who can barely even stay upright even though they've got two legs, two arms, and the inherent holiness of Albert's form? That guy? Huh, okay... I can only assume that it was the aforementioned holiness that allowed Red to win... or maybe it's because they had the longest stride? It's one of the two...

[@ToastOnMyFace]

Wow

[@AnimationsAndOtherStuff]

Red's also a big crybaby who loves taking his anger out on others, especially Purple

[@name6953]

I was upset too because Purple was stopped when he was just about to win :(

[@blobbo.]

THE KING IS BACK!!!

[@fartkentut]

4:53 I love how purple just looks at the 40m sign and went "yippe!" then fell down

[@IMTHINKINGMIKUMIKUOOOEEEOOO]

6:50 Red kicking Purple is the funniest thing I've seen today

[@chadwickpuffington]

As a parent of a toddler i felt this.

[@GoldenManFromRoblox]

Of what....? Green with Red doin or exercise

[@Kram1032]

incredible. I fully predicted the others would learn this much sooner than red simply because it's by far the most complicated body. But I guess the size of its leap, once it can finally leap, simply makes up for all the difficulty of learning to leap! And by the end it's even a *sort of* natural motion. Like, not really, but at least it's imaginable that somebody would intentionally walk in an incredibly silly ways.

[@sarahmellinger3335]

it's like a horse's gallop with springy foot joints

[@beardalaxy]

He might even get invited to the ministry.

[@BabyGhast4]

Before I watch this to the end, I am rooting for purple. I want to see the monopod win. (After watching it, second place ain’t so bad. They would have gotten it if they had an extra second or two.)

[@barrysb]

I love these type of videos. I hope you make it to 1 million subscribers.

[@beardedshuckle5220]

I just appreciate that the victory was done with a john cleese silly walk

[@braedenwilson6374]

I'll be honest, I saw the first video about a week after it came out, and I've wanted more ever since. I hope you get the recognition you deserve! (been playing this video on repeat about 10 times now, hope that helps your algorithm!) Definitely my favorite AI channel out there!

[@じゅげむ-s6b]

8:35 bruh this scene out of context xD

[@Зефир-ы2д]

11:00 The cake is a lie. GLaDOS: I'm proud of you Human.

[@AmmarMorocco29292]

LOL

[@real_robotnik]

Yay finally another video, it's just unfortunate that they take so long to make I also am trying to make my own walking ai and i also am planing to (hopefully) make it working phisical body, so these videos always are a great help and inspiration for me, keep it up!

[@joe_z]

5:00 Red found his inner QWOP.

[@Vd_124]

This made my day, thanks 😂 i’ve been searching awhile for something that could cheer me up

[@cherryb0ng]

Red literally just embodied one of the most popular flash games in history to win the race

[@ArgoFlex]

The green one 💀

[@Jeykit0]

The purple one..

[@centralmask8947]

Lol

[@frosgare]

@@Spamtinglecommitting public indecency with red

[@LimeeAnims]

Is here

[@squigglesz]

creeper

[@ObviouslyASMR]

Loving your videos dude! It would've been really cool to see a graph either showing the rolling avg distance or the best distance so far for each colour over the generations, to compare how the competition is progressing at any time

[@triigrr3644]

Absolutely love your videos. The AI concepts, editing and ultimately the project execution/idea is amazing.

[@triigrr3644]

Would rewarding AI’s with new limbs in the future to accompany their current brain power, in some type of tournament style, be an idea you’d like?

[@koibubbles3302]

it seems that red, blue, and purple were all using the same hopping technique. Purple was able to hone the technique first because they didn't have other limbs to focus on, but that fact also meant they did not have any other limbs to use for balancing. Blue had one other limb to balance with, put presumably because it is so short it was not able to travel very fast, and having only one extra limb seems to prevent it from being able to steer. Red was taller and had three extra limbs. which is why it was so fast and successful.

[@MidtownMadness1]

Not the video we expected, but the video we needed

[@karimkaa]

Respect to Purple. He made a real competition with Red, even take in account that he has less options to run, or to run faster

[@TheGood1e2]

This was so worth the wait, thanks for showing us this masterpiece!

[@Citrumoothy]

I love these videos. I laugh so hard. ONE OF MY NEW FAV KZbinR!

[@Sharivari]

This video ended way too soon. I could have watched way longer. So interesting, and such good storytelling Love it!

[@mrhalfsaid1389]

I love how you can never really tell who will win these, plus its funny how the approaches they take give each ai personality in there own... interesting ways

[@LevtoChannel]

Idk how your videos can make me giggle and even laugh so much which I haven't been done for quite a while. Loving your works keep it up my dude

[@morbidmordred5684]

9:03 “screw you guys, I’m going home”

[@cobusvanderlinde6871]

Red definitely figured out how to maximize his reward by diving forward the moment he loses balance. Would be really interesting to see how competitive this would get if the ai are all allowed to fully mature into sprinting masters. Assuming red would still end up winning with those long legs, but the others might put up some impressive competitive performances.

[@redthered279]

Red also learnt to stay on top by hindering the other agents' movements, causing their learning to be sabotaged and set back. Smart but dirty.

[@cobusvanderlinde6871]

@@redthered279 I doubt it got rewarded for that at all. I do not remember any indication that the ai were getting rewarded for overall placement, just for personal achievement.

[@DasSystemschaf]

LOL, that was so funny. My wife also enjoyed watching it. Thx for sharing.

[@lakeswirl6985]

a human lying about cake to an ai? how the turntables… delightful video as always !

[@kobanebook9888]

Purple is the definition of defying God. He’s been spawned in a cruel game with minimal equipment yet he fights hard and gains ground.

[@Estrellas_rojas]

0:22 ALBERT

[@VB4VB4]

real!!!11

[@caominh8622]

OMG ALBERT STEAL CAKE!!

[@croassung3721]

*ALBERT*

[@greenpotato8744]

ALEITHCBERT

[@Eltiodelaslavadoras]

CAKE AT STAKE!!1!1!1!1!1!1!1!11!!1!11!1!1!1!‽1?1!1!1!1!1!1!1

[@Jared_24]

LOVE this Content. Its different to all this junk on KZbin. This is ACTUALLY Entertaining!

[@Beefstudios_official]

9:26 yet...

[@STEVENVUEH599]

Next video: Ai learns gymnastics!

[@scipocelah6677]

I understand that walking is effectively intentionally throwing yourself off balance and catching yourself with the opposite foot, but why do all AI end up learning to skip instead of using both legs? My best guess: skipping like Red is incredibly exhausting for a human, but ai don't have muscle fatigue, so they just roll with the one that prevents them from falling over

[@freshjori]

Read the pinned comment. This ai has muscle fatigue in a way.

[@OriginalAkivara]

Technically you don't have to walk that way, it's just faster I think. Try moving your front leg while keeping your weight on your back leg, and only transfer your weight when your front foot is firmly on the ground. It's slower AFAICT but also much quieter since you're never actually falling onto your front foot like normal walking, just shifting your weight between your feet.

[@funguy3259]

6:55 i like how green looks like as if he is really concerned for purple

[@HollowHead._.]

@LeenaTheChessPlayerVanTongreen was tryna give him that red treatment

[@Not_a_skeppy_clone]

​@@HollowHead._.lol

[@SQUAKKC]

Grape duo is always canon.., sigh

[@jqsm1neS]

Can’t believe how close purple was to winning with only one leg 0.0

[@TheAdvertisement]

6:46 I love how a brawl just broke out. xD 10:00 THAT WAS TRAGIC

[@rhythmdude]

8:10 Let green live his dream as a tripod instead of making him race!!