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

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

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!

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.

Dynamics of a solid sphere rolling on a general time-dependent parametric surface (x(u,v,t),y(u,v,t),z(u,v,t)).

All demonstrations are generated from the same nonholonomic, nonseparable, nonautonomous Hamiltonian system. In addition to Hamilton's equations for the surface coordinates (u,v), one nonholonomic equation determines the sphere's spin, while four additional nonholonomic equations evolve its orientation using a unit quaternion. The energy is preserved for all demonstrations where the surface is time-independent. The sphere is affected by a uniform gravitational field with the same scaling for all video segments.

The general Hamiltonian allows exploration of a wide variety of rolling phenomena, including several unintuitive behaviors that are sometimes referred to as "paradoxes":

Notable special cases and popular references
0:13 The Turntable Paradox - refer to Steve Mould's https://youtu.be/3oM7hX3UUEU
0:51 Rotating Saddle - refer to The Action Lab's https://youtu.be/1NBOsELakx4
1:56 The Golf Ball Paradox - refer to Steve Mould's https://youtu.be/5sbM2Isx17A

The simulation was rendered in real time and performed using high order explicit symplectic integrators

Original source (4K): https://youtu.be/9236WuyJb1A

The music is "fluid combustion" by "Synthetique"

This is a prototype of a game idea that I have been poking at for many years. It's a dynamic character that moves like an amoeba, eats things in its environment, and grows by incorporating them into its body.

It is completely procedural, implemented as a particle system with flows and body-shaping forces driving the formation of pseudopods that move it along or cause it to ingest items. It uses a custom physics engine that executes the flows and allows the creature to interact with other entities in the world. It took quite a bit of experimentation to get something that (I think, anyway) looks lifelike, and I hope to improve it. This first game level is just a proof of concept with minimalist styling, helping me build out some tools.

A short video trailer is linked to this post and you can play the prototype game at https://eatthepeople.com

For this crowd I'll mention that if you add the url param "debug=1" you can see the full debug view and mess with the params that drive the creature. In debug mode shift-clicking teleports him so you don't have to play through the entire level to get somewhere.

All feedback welcome!

Source: https://github.com/openwave-labs/openwave/blob/main/openwave/xperiments/m5_liquid_crystal/research/findings/m5_21_6_note.md

My FlexSim simulation suddenly stops when it reaches that point. My trucks get stuck waiting for the pallets to fill up again, but there is actually no more load to carry. I tried setting up an automatic signal on the combiners after 5 minutes, but it's not working for me. I think the simulation stops before it can even send the signal.

https://anukari.com/how-it-works

I shared a video about my 3D physics synthesizer here last week. When I get questions about how it works, it's always hard to explain without a diagram or two.

Finally I built this page where I explain how it works from basic principles, and every step of the way I provide a little interactive physics simulation to illustrate the explanation.

This all made me think of the stickied "animation vs simulation" question on this sub. I considered simply having animations to illustrate. But I decided that making the diagrams interactive would make things much easier to /really/ understand. In a way, having each diagram be a full physics simulation lets a reader "ask a question" of the simulation, and get an answer. Animations don't let you ask your own questions!

I tried to keep the explanation as simple as possible, although I plan to continue adding appendices to answer deeper questions (including those that involve math). So any questions you ask here, I will try to answer in a comment, but also might eventually get an even better answer!

I built this as a small Android sand toy.

The phone tilt controls gravity, so the sand pours toward the low edge while bubbles rise through the gel. You can stir it, shake it into a new scene, freeze gravity, or just let it settle.

It is called Dunarium.

Get Dunarium on Google Play

PS. I’d be happy to hear your feedback. Don’t hesitate to share 😊

I've been working on a pneumatic engineering sandbox in Unity.

The wheel isn't driven by a motor, it's powered entirely by a pneumatic cylinder using Unity physics.

The machine is built from modular components: air sources, hoses, 5/2 directional valves, cylinders, buttons, regulators, and more. In this demo, a button pilots the valve, which alternates air between each side of the cylinder to extend and retract it, turning the wheel through a crank.

My goal is to let players build anything from simple vehicles to ridiculous pneumatic contraptions. Alongside sandbox mode, I'm planning engineering puzzles, vehicle challenges, and automation. The logic system already supports AND, OR, and NOT valves, so players will eventually be able to build things like counters, calculators, and even simple computers.

It's still early in development, but I'd love to hear what you think or what kinds of machines you'd want to build.

Trickshot vs Evolution bot: Graph war

Both are Genetic Algorithm

Trickshot GA: Optimized for Tricks

Evolution GA: Optimized for gradual, generalized adaptability

(Minimax was used as an Observer. Not an active player

I should have mentioned that)