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Game playing was an area of research in AI from its inception. One of the first examples of AI is the computerized game of Nim made in 1951 and published in 1952. Despite being advanced technology in the year it was made, 20 years before Pong, the game took the form of a relatively small box and was able to regularly win games even against highly skilled players of the game. [1]
Using procedural generation in games had origins in the tabletop role playing game (RPG) venue. [4] The leading tabletop system, Advanced Dungeons & Dragons, provided ways for the "dungeon master" to generate dungeons and terrain using random die rolls, expanded in later editions with complex branching procedural tables.
Chess is a turn-based strategy game that is considered a difficult AI problem due to the computational complexity of its board space. Similar strategy games are often solved with some form of a Minimax Tree Search. These types of AI agents have been known to beat professional human players, such as the historic 1997 Deep Blue versus Garry ...
Elon Musk’s AI chatbot Grok on Tuesday began allowing users to create AI-generated images from text prompts and post them to X. Almost immediately, people began using the tool to flood the ...
AI generated images have become much more advanced. In March 2020, 15.ai, created by an anonymous MIT researcher, was a free web application that could generate convincing character voices using minimal training data. [42]
The generator is decomposed into a pyramid of generators =, with the lowest one generating the image () at the lowest resolution, then the generated image is scaled up to (()), and fed to the next level to generate an image (+ (())) at a higher resolution, and so on. The discriminator is decomposed into a pyramid as well.
Terms proposed included "AI garbage", "AI pollution", and "AI-generated dross". [5] Early uses of the term "slop" as a descriptor for low-grade AI material apparently came in reaction to the release of AI image generators in 2022. [7] Its early use has been noted among 4chan, Hacker News and YouTube commentators as a form of in-group slang. [7]
CCDH said the AI tools generated images in 41% of the researchers' tests and were most susceptible to prompts that asked for photos depicting election fraud, such as voting ballots in the trash ...
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