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Frame from Karl Sims - Evolved Virtual Creatures, Evolution Simulation, 1994 Plays via YouTube's privacy-enhanced embed

Karl Sims - Evolved Virtual Creatures, Evolution Simulation, 1994

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2 HN users recommended this demo2 months2014–2022 score 2
Years with an HN recommendation, 2007–2026

HN treats it as the classic reference for evolutionary simulation and genetic programming, an inspiration for many projects, with notes on evolution exploiting simulation bugs.

Karl Sims's 1994 demonstration of evolved virtual creatures: block-bodied creatures whose bodies and controllers are evolved through selection, mutation and recombination to swim, walk and compete.

“I remember being obsessed with that paper” (HN, 2021)

2 recommendations · 5 citations · 1 critical · Demos

8 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@jal278 Jun 2014 Recommends
on HN thread Maverick forerunner of artificial life and animation remains largely unknown
Something like evolving virtual creatures would be a fun (although pretty ambitious) addition [1]. There's a processing 2D virutal creatures model called sticky feet [2] (source available) that perhaps could be ported to js pretty quickly. [1] [this video] [2] [link]
Karl Sims' evolved virtual creatures as an idea to add to a project.

Citations, criticism and jokes

@informatimago Dec 2016 Cites it
on HN thread ‘I am utterly disgusted’: Legendary animator Hayao Miyazaki takes AI down a peg
Read more
It seems to me that there are several levels of misunderstanding here. And the most interesting part is when Suzuki asks "So, what is your goal?", and the engineer answers "Well, we would like to build a machine that can draw pictures like humans do.". This is certainly a commendable goal. Then we cut to another sequence, where Miyazaki is drawing, and reflecting: "I feel like we are nearing the end of times. We humans are losing faith in ourselves..." It may or may not be so, but this is an interesting point to discuss. I can certainly understand how it could feel like it, but you'd have to study the motive for wanting to "replace" humans by machines, or just have machine perform like humans. One key misunderstanding in this exchange, and foremost on the part of the journalists reporting it (damn dumb journalists!), is that "This is a presentation of an artificial intelligence model which learned certain movements." Obviously, they didn't teach it to move, they had a certain model of the body, and let the AI loose, trying to learn by itself how to move. This is a classical application of genetic programming. See how some of those creatures look "creepy" too: [this video] [link] [link] [link] They obtained some creepy result, added a creepy texture and made it into a quick & dirty demo for "animating zombies". Clearly, the people who assisted to this demo didn't understand what it was. And the answer of the artist was the worst. Imagine assisting to Wright brothers' demo, and comi
Classic genetic programming creatures learning movement, used to explain a misunderstanding.
@informatimago Dec 2016 Cites it
on HN thread “An insult to life itself”: Miyazaki critiques artificial intelligence animation
Read more
It seems to me that there are several levels of misunderstanding here. And the most interesting part is when Suzuki asks "So, what is your goal?", and the engineer answers "Well, we would like to build a machine that can draw pictures like humans do.". This is certainly a commendable goal. Then we cut to another sequence, where Miyazaki is drawing, and reflecting: "I feel like we are nearing the end of times. We humans are losing faith in ourselves..." It may or may not be so, but this is an interesting point to discuss. I can certainly understand how it could feel like it, but you'd have to study the motive for wanting to "replace" humans by machines, or just have machine perform like humans. One key misunderstanding in this exchange, and foremost on the part of the journalists reporting it (damn dumb journalists!), is that "This is a presentation of an artificial intelligence model which learned certain movements." Obviously, they didn't teach it to move, they had a certain model of the body, and let the AI loose, trying to learn by itself how to move. This is a classical application of genetic programming. See how some of those creatures look "creepy" too: [this video] [link] [link] [link] They obtained some creepy result, added a creepy texture and made it into a quick & dirty demo for "animating zombies". Clearly, the people who assisted to this demo didn't understand what it was. And the answer of the artist was the worst. Imagine assisting to Wright brothers' demo, and comi
Classic genetic programming creatures learning movement, used to explain a misunderstanding.
@dahart Nov 2017 Cites it
on HN thread Self-Replicating Functions
I hadn't before, thanks for the tip! It's been a while since I played with this stuff, but I might have to get a copy and explore. I have heard of MetaSynth in audio circles. I'm not sure, but the images and videos on the ArtMatic site look (to me) very inspired and influenced by the work of Karl Sims, which is the main source of inspiration behind my project... [link] You can find a bunch of his videos on YouTube too. [link] [link] [link] [this video]
Karl Sims' work as the main inspiration for the commenter's project.
@dahart Mar 2018 Cites it
on HN thread Surprising Creativity: Anecdotes from Evolutionary Computation
Read more
The article's philosophical discussion of "surprise" feels a little klunky and academic to me, and I think conflates some different kinds of surprise, but it's still really fun to think about. Many of the projects here are all inspired by Karl Sims' work in the early 90's. [link] Sims evolved virtual creates by specifying goals to achieve and then running a physics simulation. He noted at the time that the evolution process was great at exploiting bugs in the simulation. [this video] I was insipred enough by Sims' genetic images ( [link] ) that I spent a few years trying to get surprising and beautiful results of my own, with some limited success ( [link] ).
Evolved creatures exploited simulation bugs.
@HaukeHi Mar 2022 Cites it
on HN thread It looks like you’re trying to take over the world
I think evolution is not an undirected process in that sense because it's an optimization process, that optimizes to create more copies of itself. Superintelligence will likely use some Evolutionary Computation (see en.wikipedia.org/wiki/Evolutionary_computation ). Also see Karl Sims 'Creatures' from the 90s: [this video] or OpenAI's Multi-Agent Hide and Seek: youtube.com/watch?v=kopoLzvh5jY
Example of evolutionary optimization producing creatures.
@fragsworth Aug 2015 Pushes back
on HN thread Robots learn to evolve and improve
I think they just took a concept figured out in 1994 ( [this video] ) and applied it to robots, in an attempt to get an easy publication written up. Really, though, we know we can make robot parts. The hard part is the software. What these people did by making it robotic was completely pointless (because making the robots is a huge amount of unnecessary added work) that doesn't add to our knowledge until we can solve all the software problems in simulations first.

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

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