Very interesting to watch, though I don't really have a great idea of what's going on most of the time. Performance seems to be fairly poor despite my system being pretty beefy (Ryzen 9 7950x3d). I see the performance monitor and notice that the render loop seems to fairly regularly exceed the latency for 60fps, despite this being a 'simple' task by modern standards. I'd give more helpful feedback as to why, but the minified code makes it hard to say.
Do you plan on monetizing this somehow? If not, open sourcing some, if not all, would be pretty cool, even if it weren't necessarily licensed in a way that others could 'take' it, if that's your concern. Nonetheless, a very cool project.
The ShowHN a few days ago, https://news.ycombinator.com/item?id=46613549
Neat simulation, but something seems up with the traits. I have ended up with two lineages with ridiculously high "Predate" scores - one with over 10^22 "percent".
Also, it's currently running at 1 tick per second...
This is awesome. How do you integrate morphology into the simulation? Does morphology effect movement (via area friction or mass impact on momentum) or metabolism (via area/volume ratio)?
I'm not sure if it's a local issue or intended, but the dots change color when crossing different niches(?), like their color is filtered through the background pane. I would imagine the color of the dots represent specific species and shouldn't change color across environments.
love the UI. i made something along a similar concept recently: https://blinkys.entropicsystems.net/
@maybe-tomorrow out of curiosity, is my guess that this is made with help from codex correct? (I'm trying to keep up my sense for the different default aesthetics of the different models, but this one I'm not sure about)
Spent a few minutes just watching worlds unfold. There's something meditative about it.
Curious about the performance issues Meegul mentioned. These simulations can be surprisingly compute-intensive once you add physics interactions between many entities. Would love to see the code if you ever open-source it.
Nice work.
Maybe off topic but this site feels very vibe coded to me. Doesn't mean it's necessarily slop, it seems interesting. But I guess it's just too much effort on the UI and other things like that which someone with a limited budget wouldn't spend time on (but an AI can) vs the core thing. Just an observation (and apologies if I'm wrong).
Its not working for me, there is an SSL error. `SSL_ERROR_RX_RECORD_TOO_LONG`
Looks very cool, so congrats, but I'm not that interested without a description of the genomes, etc.
It's cool. Curious what libraries you're building on, from a web front-end perspective, to make the UI and charts etc?
The website does not make it clear what is it about, is this a Conway's game of life implementation?
Really like what you are going for.
I'd like more hover help to explain features, so i can read them while it runs. Next to 'Cognition' there is some help. I'd like that on all parameters.
And, would like to see results from multiple long term runs. Does it settle out in particular configurations over time?
And, need little more short description of what is going on, since it seems to cycle around different stability points and not really one life form take off.
I notice it mentions microbrains, in case people are interested, a similar fruitflies evolving brains is this one: (Desktop only).
https://claude.ai/public/artifacts/8f39482c-b2c7-4bd6-8d47-4...
click the maze and you can watch flies genetically evolve brains to beat the level. Genetic algorithms beat every version of backprop and transformer architecture that I tried. Pause it and click one of the flies for a stunning visualization of its whole brain.
A couple sprites might help better understand what is going on, and feel better emotional connection to these lives.
If you’re interested in what’s happening under the hood (and what isn’t), I’ve documented the concepts and abstractions here:
https://soupof.life/concepts
It’s a living doc, but should answer quite some questions.