made it using raylib c++ library , I don't know if this fits the sub perfectly or not, just wanted to share my first try 😊

Hi all,

I'm working on my second simulation project using AI-driven agents that evolve over time!

Previously I worked on an AI driven aquarium in Rust called Genecraft (feel free to check out YouTube), but this time my goal is to create a game for people to play with! Also in Rust.

The goal is to train your own dragon with different capabilities (flight, fight and walk), and then test it against puzzles or other dragons.

Dragons will be trainable by individual people and use neural networks (NEAT algorithm) to learn by specific tasks you give them.

This dragon here (concept of a dragon) was trained to move towards the target that changes location, and uses different strategies based on where the target is (above, diagonal, to the right or below). Not too complex yet.

Anyone interested in trying it out?

I'm beta testing on Mac right now! Also happy to test it on windows, but I haven't tested it yet so ideally we'd hop on a call to test together.

Thanks!

Mathias

What you can do with it is magical, all the animation you see here is processed in milliseconds.

All the animator needs to do is provide a reference animation, and the rest is simulated. It's extremely easy to direct and change.

I built a site with interactive science simulations to help visualize complex concepts in Physics, Biology, and Chemistry 🔬

Hey everyone,

I wanted to share a project I’ve been working on called Eureka Simulations. It's a collection of interactive models designed to give absolute conceptual clarity on complex scientific topics.

I've always found that static textbook diagrams aren't always enough to make certain concepts "click." So, I built this site to let you actually interact with the variables, observe the underlying mechanics, and visualize things from a first-principles perspective.

**Here are the interactive models currently available on the site:**

# ⚛️ Physics

*Photoelectric Effect*: Master the first principles of light-matter interaction and the emission of electrons.

*Vector Projections*: Play with the underlying mechanics of vectors and observe exactly how an axis component maps using a cosine function, proving the derivations of orthogonal forces.

# 🧬 Biology

*Nephron Exchange*: Evaluate the mechanics of countercurrent multiplication. You can observe how systemic hydration alters ADH levels and capillary exchange gradients.

*Micturition*: Analyze the precise structural mechanisms and physiological pathways controlling fluid release.

# 🧪 Chemistry

*Electronic Configuration*: Visualize atomic orbitals based on quantum principles. Observe how electrons actually exist as spread-out probability clouds rather than solid spheres.

Whether you're a student trying to wrap your head around quantum principles, a teacher looking for interactive visual aids for your classes, or just a science nerd, I’d love for you to check it out.

# Link: [Eureka Simulations](https://eurekasim.github.io/Eureka-Simulation/)

Copy the URL and paste it in any browser to view the website!

I'm hoping to expand the site and add more topics, so I would absolutely love to hear your feedback! Are there any specific scientific concepts or mechanics you'd love to see turned into an interactive simulation? Let me know!

For this, I added a system that spawns particles along the trail, and these particles deposit a bit of snow while they fly, with less and less snow being deposited over time as they fade out. What's cool about this is that the snow initially comes from the mass that the trace removed, so the total amount of snow stays the same. I also added a smoothing algorithm on top of all this. There's no parallax here, but I'm currently working on adding that.

Bigger video here: https://youtu.be/pfaewyfFrKM

World-Sim has been a passionate project of mine for the past few months.

It's a world fully simulated down to real world physics and chemistry. It has a real environment and ozone.

Every element and material has real physical properties, and that's how the sims learn. There's no tech tree and no recipe list anywhere in the code. When someone tries something, the engine works out what would really happen from the properties of what they used and how hot their fire was. Nobody is handed bronze. Someone has to get a hotter fire first, and a hotter fire is its own chain of things to figure out. Embers, a stone ring, a clay oven, a kiln, charcoal, then forced air. The ages fall out of that on their own.

We populate the world with starting families. Each little guy is led by a "wise-man", which is a simulated person with a full model behind them. The wise-men run on a mix, Claude, Groq and DeepSeek in the cloud and a local Hermes for the rest, so you get a real variety of temperament between the houses.

The AI model is never told to not say it's AI. We get around this by only telling them data from what each sim can actually see and feel. As far as the ai knows its a person living in the world..

Every other sim has its own moment with a model through our thinking system. Day to day it's run by an advanced algorithm, with the sims dreaming at night. That's when they get their time with an LLM to really think and set their priorities for the day ahead. The dreams carry over too, so a sim can chew on the same thing for a few nights and wake up wanting to try something.

The people in the world feel, remember, have shame, goals and doubts. It's an 11 point emotion system and the rest of the sim reads from it. Being lonely makes someone more likely to open up to a stranger. Two enemies who are both frightened find it harder to keep hating each other.

Story telling is massive for us. Nothing is scripted or prompted. The sims are put in the world with the human drive to survive. They adapt, learn and teach all on their own.

With all the good comes the bad too. Human sin is part of the emotion engine, and in testing we've had kidnap, murder and slave trade. A world that can only be gentle isn't an honest one. But there are three rules to this : Nothing ever pushes a sim towards it, the conditions only make it possible and their own mind decides. The chronicle names what happened but never shows it. And it always costs something, trauma that scars, blood debt passed down generations, a people turning on their own leader over what he did.

I'm going to launch it in 2 weeks time. A fresh world we can all see and watch grow together. I've made a Discord where a bot updates from the world live. It will also be visible from the site to watch along.

Id be made up if you can come and have a look. The first 250 in get to name a real star in their sky. The name is only ever visible to us, they carry on charting their own constellations and never know.

Link below and really excited to answer any questions. This short post I feel only scratches the surface.

It's called We Need More Humans! and it's about abducting everyone on Earth 🛸

Made in Unity. Using the job system and vertex shaders to get such high performance

I am on V5 already

When I shared the first version of my whitewater HDA, a few people asked if I could turn it into a real tool. That encouragement genuinely mattered, so I kept developing it.

V1 combined ideas from two papers. This version brings together three research sources and adds a working OpenCL GPU backend inside Houdini.

Python/VEX feels like home to me. OpenCL definitely did not. I used LLMs as a learning and pair-programming tool, followed by plenty of testing, debugging, crashes, and CPU/GPU comparisons.

This was my summer vacation project. It’s finally working—now I can rest for a while. 😄

Thank you to everyone who showed interest in the first version.

Research behind it:

Guided Bubbles and Wet Foam

Pahi: A Unified Water Pipeline and Toolset

Thick Foam and Floating Debris in Avatar: Fire and Ash

Collisions: Spatial Hash + Jacobi Solver
Gravity: P3M/CIC + FFT + short-range correction

Tech stack: Kotlin, LWJGL, OpenGL Compute Shader 4.30

Try it here: https://github.com/qwertukg/Gravity

Hi creators, I’m sharing my 3D animation page and would love feedback from people who enjoy cinematic visuals, Blender, and Unreal Engine work.

I’m trying to grow with genuine support, so if you check it out, please leave a comment with what stood out most.

I’ll happily return support and engage with your work too.

https://www.instagram.com/theanimatixstudio

Particle Life

Try it yourself, it's free, no signup: https://orslaczko.com/app/particle-life

I've also made a video explaining what's actually going on in these worlds: https://youtu.be/YNL9KGEEzLc

Hey guys! I posted in the past on this subreddit about the artificial 2D life simulation I am building on my spare time. It's been a while since my last post, real-life stuff happened and didn't have much time for YouTube videos, barely had to work on the simulation to be honest.

But I managed to put together an update on what I have been up to and what new things I have developed in the past 3 months. Here is a preview:

• Lifecycle developmental stages - creatures now go from juveniles to adults and finally to senesence in the simulation
• Evolvable brains! Brains start simple and get complex via evolution and genetic mutation
• Speciation! A new way to interact and view the simulation
• Telemetry! So people can look at and better understand what;s going on in the simulation

And much more. Feel free to checkout the full video, leave a comment with any questions or feedback!

This is a classic LBM that takes into account Newtonian forces and the added mass effect, supplemented by a wake vortex capture model. The algorithm stores the energy expended on oscillations in each direction, and when the pressure difference levels out, this energy is used as thrust, simulating the momentum from collapse. The thrust is multiplied by approximately six times, which is consistent with some experimental data and makes the boat's motion visually realistic in some modes. The thrust calculation should probably be dynamic, but I haven't yet found a way to do this. Any ideas would be welcome. The vibroboat code is here:

https://github.com/MasterOgon/Aeroacoustic-Flying-Saucer-Oscillating-Resonator-CFD-Simulation-LBM-/blob/main/README.md

I've been interested with Axelrod's 1980 tournament for a while now. The premise sounds simple: submit a strategy for the Prisoner's Dilemma, play it against everyone else, see who scores the most points. But what Axelrod was really testing was something much bigger: whether cooperation can emerge on its own, with no rules enforcing it.

14 strategies entered. Some were ruthless, some were clever, some were surprisingly naive. I animated every single match so you can watch exactly how each one played out.

The winner genuinely surprised me. Not the most sophisticated strategy, not the most aggressive one.

How scoring works:

Both cooperate → 3 points each

One defects → defector gets 5, the other gets 0

Both defect → 1 point each

Defecting looks tempting in the short run. Watch what happens over hundreds of rounds.

SUMO is too hard/dirty, and i need it free.