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    7 Kommentare

    1. The article describes a Google AI experiment where researchers simulated the emergence of life from non-living matter. Using a neural network, they created a virtual environment where simple agents interacted and evolved. The experiment showed that complex behaviors and even the appearance of “life-like” properties can emerge from simple rules and interactions within a complex system, potentially offering insights into the origins of life on Earth.

      Also, [Brainfuck](https://esolangs.org/wiki/Brainfuck) is an actual programming language.

    2. This keeps happening over and over and it’s tiring. Simulations leading to a randomly generated self-replicator are a) not novel and b) not sufficiently life-like. There are SO many challenging constraints on a life-like self-replicator. Each constraint is its own active area of research, and we probably aren’t even aware of most of them.

    3. I mean, it is „yet to be peer reviewed“. Sounds like an undergrad thesis.

    4. brainfuck, even if it is an esoteric language, is not useless for this case and using c/c++ would not have had the same effects.
      uses 8 characters and is easy to randomize them.
      brainkfuck generally uses a different memory space for data than the code, I think they implemented a common space so that the code is overwritten at runtime by the code itself.

      (I speak from direct experience as years ago I tried to implement something very similar in brainfuck)

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