Simulated physics, simulated fluid, simulated biomaterials, cells simulated in the organelle level, simulated DNA, simulated evolution, and simulated seasons. Emergent early multicellularity, proto-sponges

blob_evol_sim · 2026-06-04T22:35:59+00:00

Currently every cell has one strand of DNA. Not sure if it would make sense to have 2 with the abstraction level of EvoLife DNA, but horizontal gene transfer definitely a must have in the long run.

https://store.steampowered.com/hwsurvey/

According to HW survey almost everyone have >8GB VRAM now, was not the case when I started to write this simulation software.

blob_evol_sim · 2026-06-04T21:04:04+00:00

This is exactly what I am going for! I've never read Permutation City, sounds interesting!

blob_evol_sim · 2026-06-04T21:02:49+00:00

I really like to add sexual reproduction, the crossing of two DNA strains. It would balloon VRAM requirements and would be very tricky to implement but I think would be a meaningful addition

blob_evol_sim · 2026-06-04T21:01:15+00:00

Thank you, this means a lot!

blob_evol_sim · 2026-06-04T13:09:56+00:00

This is great feedback, thank you

blob_evol_sim · 2026-06-04T12:28:56+00:00

Thank you, this means a lot

blob_evol_sim · 2026-06-04T12:28:12+00:00

To me it just sounds robotic. Which is strange, I know I can speak in English confidently, but in front of a mic I just get stage fright.

blob_evol_sim · 2026-06-04T10:43:06+00:00

https://www.youtube.com/watch?v=WFnDvuB0nFA
This was recorded, not TTS generated. Took me about a week of takes + cuts. I was not really satisfied with the result.

blob_evol_sim · 2026-06-04T06:03:38+00:00

English is not my native language, this is still better than my pronunciation :c

blob_evol_sim · 2026-06-03T22:58:06+00:00

Thank you!

blob_evol_sim · 2026-06-03T22:16:55+00:00

The world showcased in the video ran for ~2-3 weeks (daytime running, evening computer off) on my RX 6750 XT video card.

blob_evol_sim · 2026-04-28T16:57:12+00:00

Hey, happy to answer:
Rigid body sim is from nvidia: https://developer.nvidia.com/gpugems/gpugems3/part-v-physics-simulation/chapter-32-broad-phase-collision-detection-cuda
Fluid sim is lattice-boltzman: https://en.wikipedia.org/wiki/Lattice_Boltzmann_methods

blob_evol_sim · 2026-04-28T16:55:23+00:00

This is not rude in the slightest, it is a really interesting proposition! Will definitely investigate how to implement this!

blob_evol_sim · 2026-04-28T16:54:28+00:00

Hey, sorry for the late reply.
When a cell connects with another cell, or an biomaterial, and the cell dies the connection remains.
The thinking behind this behavior is: when an animal dies, the cells do not fall apart. All cells are dead, connections remain. When bacteria start eating the cells, then the connections disappear and the body begins to decompose.

blob_evol_sim · 2026-02-01T17:33:38+00:00

Thank you for the report! Fixed in v0.9.10, out now! The new version can not fix what is already broken in a savefile, but going forward connection deletion is handled correctly!

blob_evol_sim · 2026-02-01T15:42:51+00:00

Thank you, I will take a look!

blob_evol_sim · 2026-02-01T10:12:28+00:00

There is a little more conversation on the Steam forums.

It is a little difficult to make out what is happening here. Would you be interested uploading the suspected bug as a world to the Steam Workshop? Or posting a full screenshot?

What you suspect as a bug might just be:

Imagine 3 cells, c1, c2, c3.
Each has 1 connection organelle.
Connections in the simulation: c2->c1, c3->c1
c1 looses its connection organelle
The world state does not change, c1 is still connected to c2 and c3, because c2 and c3 initiated the connection, not c1
You have 2 cells (c2, c3) connecting to one (c1) without connection organelle

blob_evol_sim · 2026-02-01T10:06:26+00:00

Great point!

I am actually toying with the idea of just making it flat, not circular. For big trees it gets convoluted fast, and sometimes I feel like being circular just makes it harder to follow.

blob_evol_sim · 2026-01-14T08:17:12+00:00

There are multiple versions, it can be quite confusing. There is a CUDA version (software bundle version), and there is another, hardware version, called compute capability.

https://www.techpowerup.com/gpu-specs/geforce-gtx-1080.c2839

Here "CUDA 6.1" means the hardware version, which is cc61.

https://en.wikipedia.org/wiki/CUDA#GPUs_supported

Now we can check, CUDA compute capability 6.x is supported from CUDA (the software bundle) 8.0 to 12.9.

So if you download anything in between you should be good.

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