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AI · alternatives · 2026

CW

Critters with neural net brains coevolve to survive killer planks in JS is a simulation where artificial creatures with neural networks learn to survive obstacles through evolutionary processes. The project runs… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Critters with neural net brains coevolve to survive killer planks in JS launched in 2015; newer entries below may have overtaken it.

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  2. 2GB

    2025 · attentionmech.github.io · its alternatives →

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    Raise a neural network as a pet - a transparent cognitive sandbox where a digital squid learns, grows, and rewires itself via Hebbian learning & Neurogenesis - ViciousSquid/Dosidicus

    2025 · github.com · its alternatives →

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    Neural CAs model self-organizing pattern formation on grids. Now the grid is gone. Each cell is an agentic particle that can move freely in space and change its state. While each particle follows a simple shared rule, many together can grow complex morphologies or form intricate patterns. The resulting particle system as a whole can regenerate from damage and exhibits surprising emergent behavior. Try cutting the lizard and watch it heal itself!

    Jun 2026 · selforg-npa.github.io · its alternatives →

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    We built an ant colony simulation as an internal hiring challenge at Moment and decided to open it up publicly. You write a program in a custom assembly-like (we call it ant-ssembly) instruction set that controls 200 ants. Each ant can sense nearby cells (food, pheromones, home, other ants) but has no global view. The only coordination mechanism is pheromone trails, which ants can emit and sense them, but that's it. Your program runs identically on every ant. The goal is to collect the highest percentage of food across a set of maps. Different map layouts (clustered food, scattered,…

    Mar 2026 · dev.moment.com · its alternatives →

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    Neural CAs model self-organizing pattern formation. Now they can generate patterns at HD resolution in real-time, enabled by turning each CA cell into a Neural Field. Try 3 demos: grow a pattern from a seed (and damage it, it heals), synthesize PBR textures that can regenerate, or create 3D textures like clouds.

    Jun 2026 · cells2pixels.github.io · its alternatives →

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    at a pub in london, 2 weeks ago - I asked myself, if you spawned agents into a world with blank neural networks and zero knowledge of human existence — no language, no economy, no social templates — what would they evolve on their own? would they develop language? would they reproduce? would they evolve as energy dependent systems? what would they even talk about? so i decided to make myself a god, and built WERLD - an open-ended artificial life sim, where the agent's evolve their own neural architecture. Werld drops 30 agents onto a graph with NEAT neural networks that evolve their own…

    Feb 2026 · github.com · its alternatives →

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    An interactive simulation of Richard Dawkins' biomorphs, virtual creatures that evolve through artificial selection.

    2014 · emergentmind.com · its alternatives →

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    A research project simulating the evolution of virtual corals - 2018.

    2018 · joelsimon.net · its alternatives →

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    Unity C# Flappy Bird + Neuroevolution. WebGl demo: http://nfb.gametroleum.com - KrzysztofBogdan/CsNeuroevolutionFlappyBird

    2017 · github.com · its alternatives →

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    What began as a lightweight programming experiment quickly transformed into a deeply engaging technical exploration into the realms of neuroevolution, game physics, and browser-based simulation. My original goal was modest: replicate the "Chrome Dino" game using a performant and modern web stack. However, the project evolved far beyond expectations. The twist? I wanted the dinosaur to teach itself to jump.

    2025 · fulgidus.github.io · its alternatives →

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    "Creatures" is a stretch given that the environment is Minecraft, but the idea is simple: iteratively add blocks conditionally (tensor convolution) on the current environment (blocks) to maximize some reward. In this case I use PPO RL to train creatures to touch a glowstone block but you can adapt it to use any algorithm and reward (easily, as it uses the Ray framework). What I like about this work: iteratively finding solutions has a long and colorful history of doing things well: gradient boosting, ResNets, Stable Diffusion, etc. We're after some end optimal state and usually try to get…

    2024 · github.com · its alternatives →

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    I started this trying to understand two things: why my Asian friends turn red after drinking, and why several friends all seemed to have migraine clusters. I was reading medical papers and textbooks, but kept getting lost jumping between topics. I thought: what if I could just Cmd+Click through this like code? What if "ALDH2 gene" was actually clickable, and took me to the variant, the phenotype, the population frequencies? So I started modeling human biology in Rust with my Ralph agent (Claude in a loop, ty ghuntley). Turns out the type system is perfect for this. Every biological entity is…

    2025 · github.com · its alternatives →

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    An experiment in evolution. Contribute to dcz-self/breedmatic development by creating an account on GitHub.

    2020 · github.com · its alternatives →

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    Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops. - neo/README.md at dev · neomjs/neo

    2020 · github.com · its alternatives →

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    I built an artificial life simulator that fits in one HTML file (~1400 lines ~50KB) with Claude Opus 4.6, interestingly, I didn't even ask it to build the game itself, I've requested to create the software that didn't exist before and not use any dependencies, third-party libraries or ask questions. Firstly Opus 4.6 made photoshop clone that barely worked, but had nice and neat UI with all common features for the image editor, then I've called that crap and asked to really build someting that wasn't there, it made Emergent there. Please check it out and tell what you think, of course it's a…

    Feb 2026 · emergent-ivory.vercel.app · its alternatives →

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    In this simulation, flies are controlled by a neural network. You can adjust the hyperparameters. There's a maze mode, in which flies have to avoid some obstacles. I think the effect is pretty cool. What do you think? updated link: https://claude.ai/public/artifacts/5f7017c8-98fb-4d89-a32c-1...

    Dec 2025 · claude.ai · its alternatives →

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