Iron Spider: Retaught.

Spiderman: Learning from zero

@@dandabossthesecond3599 no he said homeschooled because of the theme of “home” coming in Spider-Man titles

@@aahilmemon ik

The A-lazy-ing SpAIderman (the next new one in the spiderverse?)

damn 69 likes i feel bad for u

He's napping while swingin'

Why look cool when it gets the job done?

@@Dionyzos Asleep is the new cool.

this is what happens when peter is knocked out and the spidersense is keeping him safe

I don't think it could've been more perfectly timed with the commentary ending

He also kicked the guy in the face 😂

And showed us a couple of the cute fishie pedestrians :)

that part is so smooth

Yes

could have been solved if the webs toggled hands

@@BusinessWolf1 you about to toggle these hand lmao

oh yeah, this is big brain "You can't screw with my movements if I just don't move!"

I wondered if dropping 1 of the inputs (the left hand) allowed it to use more of the hidden layers to improve it's performance with the right hand. I'm not a doctor but that might be analogous to right/ left-handedness in humans.

I love this. This was the same with Sonic for a while, too.

Makes sense

sπderman

Siperman

Der-Man

spooder man

Sperman

Hope to god insomniac adds thwips to spiderman 2💀

Mathemattically, the fastest way to move would be to have a constant force in a constant direction balancing out drag and gravity. The way to approximate constant force and direction is ro constantly reshoot in the same direction.

@@bscutajar Well, almost the same direction. There would need to be constant angular adjustments to maintain the optimum elevation

The Grappendix

@@yesno1085 cruelty squad reference?

Even more He composes the music that he uses for his videos

@@Wizzkidwas no way what?? Even better!

yeop i sure love seeing how everyone and their dog is smarter and more successful than me

The real Spider-Man should take notes, obviously the way he’s been doing it is less efficient

​@@maxiliarydendrite8926 Sacrificing Efficiency for Style is something Spiderman would do, though

Yes

It's also better for a living being to use both arms bc it would even out the amount of strain. Plus the arm that's used all the time would probably be more muscular than the unused arm and I think we all know what that typically implies lol

@@shytendeakatamanoir9740 Spider-Man. Quite the beautiful word.

If the neurons were stripped blank without being damaged Id say why not

​@@ogluqqychess4452this reminds me of a project by some science youtuber to use human neurons to pilot a drone

​@@talison718isnt nearly every drone piloted by human neurons?

@@moritzkramer355 yup, but i am talking about put neurons in a plate an connect then to wires and then use a simulator to train them to fly a drone

@@talison718 quite unnecessary if you already have a brain but cool i guess

It's all fun and games until it becomes self-aware and launches the nuclear missiles.

​@@ifly-fsx so true i hate when it happens ong

​@@puplos125ruins a perfectly good Tuesday like nothing else

Videos like this have been around for a lot of years though. I'm not sure if it would have been 10 years ago, but I remember watching an AI play Super Mario quite a long time ago. (Looks like it was only 7 years ago: ukposts.info/have/v-deo/qaZniYyGiGZ3lWg.html )

Everyone can wear the mask

Don't forget "shuye"

Yessssss!!!!! For real!!!!!

@@pinkie723 foshooooo

@@pinkie723 Based pfp

@@R0TEK Thanks lol

That's why I just skip to the end. I have a brain. Be like me.

Yeah, especially miles morales Spiderman, he's just going for style above all else

I thought the AI was just trained to swing like Spider-man, not actually become Spider-man

This is not show-off it necessity to swing properly...

*cough cough* Dani

I think specifying that the left arm must fire webs at the left wall and the right arm must fire webs at the right wall would be a good option for this.

Keeping the face forward would be fun, but could cancel out backflips. Avoiding hitting buildings would probably be for the best.

@@markellii3093 Well, they could attach Unity's equivalent of a scene component to the ragdoll's pelvis, and only check its yaw to make sure it remains looking forward while still allowing it to do flips

Sounds cool but first I want to see it learn not to hit the walls or ground, and to only use the web up to 1x/second. I think it would feel more natural. Maybe also keeping the head upright and the face forward too.

@@Bruva_Ayamhyt typically you don't want to be to restrictive because typically with an AI like this it will either cheat your restrictions or will be locked out of potentially required steps of learning. Not to mention the interesting or groundbreaking solutions it could come up with outside of your parameters. That's why is said left for left, and so on. After thinking on it a while longer I think breaking it down even further into "reducing the amount of points earned for every successive use of the same arm in a row". Mostly because as long as the AI hasn't totally given up on ever using its other arm then the point adjustment should be able to just be made and then the ai should be able to successfully continue training without regressing too far.

and how long the pizza can stay hot mhmhm

doable but if this took 11 hours that might take a few days

Yeah I like this idea as well. Maybe each arm can only do one web every 1-2 seconds, or the right arm can only hit the right wall and the left arm can only hit the left wall.

@@megatroneata9911 yes but if he adds more artificial neurons then that can shorten the time needed

@@megatroneata9911 As long as no new inputs are added, the constraints will actually increase the training speed by reducing the search space. However, things like adding vision for the actor or adding additional factors to the environment like more physics can make things exponentially more difficult.

YES PLEASE

Literal style points as opposed to figurative style points?

@@symbiote1982pk yes. Style points in normal conversation is typically just a way to tell somebody they did something cool. Style points in the example I posted would be another goal the AI could track and would be an actual score system to improve learning. Hope this helps

The exaggerated swagger

Hmm, how would you quantify style in the reward system? Backflips, using two hands, and facing forward are worth more points or something?

I am going to write a small paper explaining the details that I didn't cover in the video as well as uploading code

@@b2stud cool, thanks!

@@b2stud You're an amazing web developer.

@@b2stud very excited for that!

:)

I got an as there LOL

😂😂😂

Tax evasion

Falling flat on the ground for the first time

Uncle yen died in a car crash rite after Aiter Airker was dropped off at school by him

His canon event is the code breaking

Lol it was funny tho

tyty

Wdym bro is wall running like you do in the PS4 games, actually he's better at wall running that every single spider man to exist

Of a White Guy

That is because he skipped the 4 hardest parts. Choosing the right algorithm to train with (in this case PPO) Choosing the right state to learn from Choosing the right reward to learn with Choosing the right actions for the model to take Those 4 parts are the parts where it goes from "science" to "art/intuition" But you should try it!!! And by hard I mean it is the equivalent of choosing what color to paint a painting. Picking a paint is not a difficult process. Picking a paint that will mesh well with all the other paints and end up with a really good painting is much more difficult.

@@dtracers do you work on this field ?

I did play around with penalizing the AI for casting too many webs, but I think it's very hard to get right. If you penalize it too much (which honestly wasn't even that much) then the AI becomes hesitant to shoot webs and it stops learning.

@@b2stud what if you rewarded it for longer webs instead of penalizing casting too many webs, set a small incode timer to measure web time? or set a ingame timer which makes the AI only able to cast webs after a certain time period after the last one. if you're rewarding speed it's kind of incentive for the AI to spew more webs in order to get less pendulum type motion and more linear like motion, i suggest only a combination of that reward

@@b2stud actually i just realised you can reward the AI for longer web distances, and more altitude of the web, do that in combination with speed and distance rewards

@@arpita1shrivas All of those are good ideas, but the last one is very smart. Definitely easy to mess up, but if implemented right would make beautiful swings.

I think the most effective way to do might be to have him track his multiple directional velocities and diminish rewards for losing too much velocity at once, though you might need to also track directional acceleration to keep track of the changes in velocity so it could be a pain. Distance and speed are also good, but to maximize returns I feel multiple velocity and acceleration recognitions would better modify behavior because they'll allow for shorter web swings if they're warranted, IE, if you'd lose velocity by hitting something or accidentally exchange too much directionally from long webs, without creating many incentives for short high speed sling-shot webs, as those will almost always lose you a lot of velocity in some axis. Maybe overthinking though.

id guess its because it wasnt incentivized to learn to use both if one works why try learning that the other works too? could fix that by giving each arm a strength value the value drops when webbed onto something but increases when not used

Makes sense to me, using two arms requires coordination between the two, whereas using one arm only means that the AI can just shoot a web upward on one side, then the same for the other side, with no chance of one arm fucking up the other.

It isn’t concerned with style points after all. 😅

Each time information flows through the neural network all the connections between the nodes alter it. Having hidden nodes drastically increases the amount of connections, which gives the AI more control over how it filters / transforms that information. There isn't any difference between input / hidden / output nodes besides their location in the network. Essentially the more hidden nodes you have, the more the AI can alter the information it receives = the more intelligence it can have

Another way of looking at it is that more nodes means for more ways for information to "weigh" against each other. Each node essentially has a value and a weight for how much that node influences its connection. It's all basically percents. You want lots and lots of connections because it leads to a more in depth and nuanced way for information to relate. The relative angles of the arms and each joint should relate to how the web is fired, and if caring about efficient motion through air resistance, then it will also want to factor in the other body parts too. The more connections, the more complex and nuanced relationships you can factor into the system.

@Erinç Argımak fair, but we want style darnit

The problem lies in allowing it to be able to optimize with just one. A sufficient cooldown should be part of each web shooter to better imitate how Spider-Man can't make webs just instantly appear like laser beams. Once it loses efficiency with one arm, it should start trying to go faster with both.

yeah style points

The chances are millions to one

The ai backflips he explains neither does both

Np. I'm very happy to hear that!

Actually there's a course on coursera by Stanford Professor Andrew Ng, who's one of the founder of deep learning methods that's pretty easy and good for an introduction, I know a lot of people and friends of mine recommended it, and I'd definitely recommend it.

Thank you! They do have a name, I just call them fish

@@b2stud FIIIISH

Good luck! It's a very fun field :)