Computational Creativity. Within a decade, an independent… | by Jon Radoff | Building the Metaverse

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    In ten years, an independent developer will work alone to create a game with the size, scope, and artistry of Elden Ring.

    And millions of people will do the same.

    Could one person do the work of a team that spent over $100 million to create it, or do you think a million people could each create a game of this scale?

    why does it take Hundreds of millions of dollars to make a AAA game in the first placeThe answer is usually related to content.? There is a huge amount of bricklaying, brickmaking, and artisanal brickmaking in the business of making games.

    But in the future, game makers may become more like composers than block layers. This is supported by a new field called Computational Creativity.of Computational Creation Society defines the purpose of this field as:

    building a program or computer capable of human-level creativity

    Better understand human creativity and formulate an algorithmic perspective on human creative behavior

    Designing programs that can enhance human creativity, even if they are not necessarily creative in themselves

    Part of this creativity, especially the aspect that enhances human creativity, is supported by the composable framework I wrote earlier.

    Another big force is artificial intelligence (AI) technology that can produce creative works. Most of the rest of this article will focus on the amazing developments already happening in this area.

    disco diffusion is an online tool that runs within Google Collab, a platform that allows you to run Python programs that can run on cloud-based GPUs. It uses a learning model that produces amazing “creative” artwork. This is a small collection of 25 monsters that I created using about 5 minutes of human effort (and 24 hours of computing time).

    Now, I’ll admit that these monsters aren’t nearly as nice and interesting as they are in Elden Ring itself. far cry. But they’re still very impressive, considering the computer created them with minimal input from me.

    Here is another piece I composed, aftermath of warThis is another Disco Diffusion piece, experimenting with the theme of ‘sunflowers’ and destroyed tanks. Here, AI models demonstrate the ability not only to recreate his Elden Ring-like artistic style, but to fuse ideas that have never been combined before.

    Some people react to AI with alarm — will it let machines rule? Others think the creative process lacks the Procedural art groups I’m in on Facebookreceived the following comment as a reply to Aftermath of War:

    My problem with AI art is that the value is on the human side. An idea, the language used to express it, the data set used, the eye that perceives it, and so on. So why not humanize the act of drawing an image, as in this case?

    I understand these concerns. What do we lose when we let computers do what only humans have been able to do so far?

    I can’t draw a picture — at least not as much as a computer did aftermath of war.

    But perhaps the human side of this is that you’re not actually painting with a paintbrush. We paint with ideas. Comments from the same group:

    Now, when computer-generated paintings become commonplace, I happen to believe that the best hand-crafted paintings by artisans may become rarer and more valuable. But “painting with ideas” is a way to exponentially increase the proportion of human output, shifting work towards conceiving, repeating, and structuring.

    Creating immersive worlds (games, metaverses, simulations) requires moving from digital painting to 3D models. A 3D model defines a set of geometries that define the shape of an object in space. This paper shows how to learn the properties of 3D models.and a new version generated according to the learned properties.

    A new learning model teaches computers how to generate 3D objects from images. This instructional video shows how using photos to generate new 3D models can speed up the speed at which you build your game worlds.

    These early technologies (often in the realm of research papers and cumbersome Python scripting) are being commercialized.This demo from Caedim I will show you how to create a 3D mesh from some concept art.

    Language models such as GPT-3 are surprisingly capable of interpreting and generating human text.Here is the story generated AID Dungeon:

    more recent Google route model, with over 540 billion parameters, is even more advanced than GPT-3. You can explain jokes, follow lines of reasoning, recognize patterns, conduct scientific Q&A sessions, and summarize texts. As more parameters are added to language models, the depth of “understanding” they can exhibit is expanding.

    Here the joke is explained:

    If AI can generate 3D models and understand stories, it can even compose whole worlds with verbal prompts.that’s exactly it Promethean AI Aims to:

    The power of a system like Promethean comes from its composability. It doesn’t just use AI to generate objects and settings (which is amazing). The power of such systems lies in iteration, aggregation, and fine-tuning. Just like the modder found in his Minecraft, Roblox, and other frameworks, having a foothold for your ideas doubles the power of your creative output.

    Yannic Kilcher used CLIP and a learning model called BigGAN to generate music videos to the lyrics he wrote. The lyrics are basically nonsensical, but they contain a lot of interesting words when viewed through an image generation model.

    You can also use AI to generate code. This is the minimal version of the Wordle type game. Created by Andrew Mayne using a few lines of input to OpenAI Davinci.

    Artificial intelligence is contributing to the field of computational creativity at a breakneck pace. The pace continues at an exponential rate.

    A composability framework makes it easy to connect pieces of creative content together, and AI drives a wide variety of iterative content creation, enabling more creative output from individuals and small teams. will increase exponentially.

    Thanks to the composability of platforms like Minecraft and Roblox, people are creating experiences that could never have been built for commercial games. The next era of creativity, including the ability to quickly iterate on ideas with the help of artificial intelligence, will include experiences we couldn’t even imagine in the first place.


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