Congratulations for the video! Could you please tell me which software you use to build the animations ?

I'm finally starting to recover from like 3 years of intense burnout as a software engineer, and watching your videos helps me remember why I got into this field in the first place. Looking forward to the next one!

Predator do not eat if they are not hungry (>80% energy) Prey need to eat too, add vegetable on the Map, If they are low prey, predator should start to cultivate them

dont make us wait another year

boobs physics ❌ balls physics ✅

oh crap

connect the movement ai with the prey vs predator ai, i think that would look fun

Awsom video, cant wait for the second part

hi.

Absolute chillest gig I've watched

Can u give an example recommendation for a mobile app for this?

Cool video! Btw, do you use Godot or some other engine? If though, how to calculate physical interactions in seconds? Because usually it is 1 scene with fixed speed of time, and to calculate all those ai decisions everything should be sped up and without graphics

Do you use any 3rd party library over SFML (for drawing charts, parts or so) or this is your own implementation?

What is the best compiler for a code made in Scratch?

mesmerizing.

What did you use to make the animations?

Great video! It's a very nice visual representation ... that must have been a ton of work!

Really cool video, thank you! This is an really interesting sub topic of ML, especially with such simple networks. Im wondering how it would play out, to create some intermediate game ai, which handles some decisions with this sort of mechanisms instead of a huge load of switch/if/else shenanigans. Obviously not driven fully by it for performance reasons, but in an assisting way. Btw, can you add the used resources (wiki/paper links) to the description? I would appreciate it. Thank you!

Hurry up with the second part, I can't wait!

Do you share the code to create all the test cases ands animation?

From a frenchmen to another, your accent has improved so much! Your videos are captivating as always.

Very neat video

Oh 1 and 4 doff is one is pulling and other is pushing itself

Yeah.. the talking cockerel with sunglasses talking about NN is weirding me out.. Great video!

okay so I don't exactly like the talking chicken, it's distracting from what you're actually saying.

I do topological sorting, but then I cache all the pathways from input nodes to output nodes into lists. This way, instead of re-iterating the graph, I just do a for loop to iterate over lists of nodes instead of repeatedly recalculating paths. I haven't seen this technique used online but it makes training step much faster.

nice! it reminds me of the MarI/O video, it uses this algorithm too

yo i made this in javascript its called mentisjs

Your projects are amazing, and often very beautiful. I aspire to make software as good as this one day!

I really like the NEAT-algorithm and its variations. I've used them to find shapes for the unsolved mathematical problem called moving sofa. I got something similar to the currently known best solution in just a few dozen iterations. I wonder how this algorithm scales with more complex task on just a few inputs.

why is it that most youtubers that make "ai learns how to walk run..." using this method just feel like the ai makes every mistake possible to later avoid them, and if one very minor thing changes in the ai character (leg lenght, weight..) or in its environment, (stairs changing sides, extra cube..) they have to relearn every thing like a newborn instead of keeping the knowledge of how to walk

Im confused when you say weight modification. How do you decide how to change it?

This man is creating the cure for cancer

Stanley02 is what got me into ML and computer science in general. NEAT is fantastic, extensible, tolerant, lots of fun, and the paper itself is good reading too.

oh my God a talking cock

soooo, now I want to watch the next video, it is so excited

I could be insane, but I would swear that a rooster just taught me AI.

The talking chicken is amazing

Love your videos... But... Didn't you used to be french lol 😂

This will actually help me so much in my new project

G ❤️🔥

I’m ai, and there’s no way for you to tell if it’s true or not… 🤖

Calculating outgoing connections and adding them to the target node? Why not do a weighted sum of the incoming connections?

I didn't see any writing on scratch

So cool example! Can't wait to see how AI will handle chaotic pendulum ;)

I love this channel. It's enjoyable to just watch cool coding stuff.

Nice video my friend. I would stay around for the seconds parts guys, exciting things ahead ;)

Talking chicken? I'm in!

Since the controller can output an arbitrary cart speed every timestep, it is permitted more or less infinite acceleration. It would be interesting to see how they perform if the available acceleration, (or power, or whatever) is constrained to realistic bounds

Did AI created us?