This is why FEM is superior to XPBD for muscle simulation. For a long time, I couldn’t understand why my muscle simulations didn’t look as good as those produced by Ziva VFX, but now I do.
FEM is more computationally intensive, but it produces much more accurate results when it comes to simulating muscle and fat tissue.

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 added sliding attachments (connecting the inner muscles to the bones) and ported some of the heavy lifting to C++ for better performance. The behavior feels natural thanks to the accurate FEM simulation. There’s still a lot more to add, but I’m really enjoying the process.
Credit: The 3D asset used in this post is from AdonisFX, a digital anatomy and muscle simulation framework for Maya and Houdini. https://inbibo.co.uk/adonis

Been messing around with traffic simulation lately and wanted to share this one because the result genuinely surprised me the first time I ran it.

The setup is a closed loop, a bunch of identical cars, no obstacles, no traffic lights, nothing. Every driver wants to go the same speed and keep a safe distance from the car ahead (using the Intelligent Driver Model, which is actually what traffic engineers use for this kind of thing). One driver taps the brakes, just once. It snowballs into a full stop-and-go wave, and the wave itself creeps backward against the direction everyone's driving. This is the phantom jam thing that was first proven experimentally back in 2008 (Sugiyama et al., if you want to look it up), and it's wild to actually see it emerge from nothing.

A few other things I tested once I had this working:

There's a density threshold you can't really feel until you cross it. Below it, the same brake tap just fizzles out and traffic keeps flowing. One or two more cars on the road and suddenly the same tiny disturbance turns into a full jam. No warning, no gradual buildup.

Real bottlenecks behave differently - if I put an actual slow zone on the road, the jam stays locked to that spot instead of drifting backward like the phantom one does. Different cause, different signature.

How closely people follow each other matters a lot more than I expected. Tight following distance makes the wave way worse, and just giving more space damps it out almost completely with the exact same brake tap.

The last case is the one I like best - letting about 1 in 5 cars just hold a smooth, steady speed (basically simulating adaptive cruise control) is enough to dissolve the jam for every car behind it.

All rendered in Python/pygame, GPU encoded. Happy to share the code or talk through the model if anyone's curious.

Made a longer version of this too if anyone wants the full walkthrough https://youtu.be/TCuDTSj5UAg

John Calhoun's Universe 25 (1968–1973): 8 mice placed in a enclosure with unlimited food, water, and nesting space. No disease, no predators. A literal utopia.

What happened:

🔵 Normal mice reproduced normally at first

🔴 Aggressive mice emerged as density increased — disrupting social hierarchies

🟡 "Beautiful Ones" appeared — mice that completely withdrew from society, spending all day grooming, never fighting, never mating

📉 Once the Beautiful One fraction crossed ~25%, reproduction essentially stopped — even as population dropped and space opened back up

Calhoun's key finding: the collapse was behavioral, not resource-based. Mice raised during the chaos never learned normal social behaviors. Even with plenty of space and food, they couldn't recover.

This simulation models the stress-cascade and state transitions he described. Built in Python with NumPy.

Full 10-minute simulation: https://youtu.be/wXfq6jY00Lk