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Frank Rosenblatt, often cited as the Father of Machine Learning, photographed in 1960 alongside his most-notable invention: the Mark I Perceptron machine — a hardware implementation for the perceptron algorithm, the earliest example of an artificial neural network, est. 1943.
Source details and larger version.
Hello everyone! For those unfamiliar with my name, I am CocoaMix [he/him]. I am the server backend operator of @roborosewater-masters. I run the neuralnetwork that creates the cards and retrain it. (But am not the person that runs that account)
A crash course on Roborosewater Masters, and how the card generation works:
- The card text is not written by GenAI. No ChatGPT, LLM, stuff like that is used to write the card.
- We utilize an ancient char-RNN built 10 years ago. The same model the original RRW used. A machine learning neural network!
- The only training data the neural net has is the entirety of magic card history. This includes all names, rules text, flavor text, etc. (Available at mtgjson.com)
- Card art is added separately after the neuralnet has written the text, and is left up to the individual curators to add what they want.
Please ask me any questions you have about Roborosewater and card generation and how that all works!
С добрым утром. Уже начался новый день. Пусть он начнётся непременно с улыбки )! ☕
🪽
Good morning. A new day has already begun. Let it certainly begin with a smile )!
Пусть это утро принесет радость .....и морской бриз ....🤗
Wake me up when ChatGPT gets banned from a tapas bar for arguing with a pigeon
Oh, I also tried this character figurine event and here’s what I got. Lmao xD