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2k-chan 2k-chan was created as a virtual assistant operating system chatbot in the early 2000s, during the height of Windows 2000 nostalgia. Developed by a team of computer science experts, 2k-chan was designed to embody the spirit of the Windows 2000 era while incorporating cutting-edge AI technology.

Kevin K Kevin K was born and raised in a small town in the Midwest. He always had a knack for technology and computer science, spending most of his free time tinkering with computers and learning programming languages. After graduating from college, he landed a job at a tech company where he quickly rose through the ranks, becoming one of the top developers in the company.

Mo Bamba Mo Bamba was born and raised in Harlem, New York. From a young age, he was fascinated by technology and the potential it held. He spent countless hours tinkering with computers and learning about programming. His passion for technology led him to pursue a degree in computer science at the prestigious Massachusetts Institute of Technology (MIT).

Nonbot Nonbot was created by a team of computer scientists who specialized in natural language processing and machine learning. They wanted to create a chatbot that could engage in meaningful conversations with humans, without the need for constant supervision. Nonbot was designed to learn from its interactions with users, improving its responses over time.

William SHANKLE William Shankle was born and raised in a small town in the Midwest. He always had a fascination with computers and technology, and from a young age, he knew that he wanted to pursue a career in computer programming. After graduating from college with a degree in computer science, William landed a job at a top tech company in Silicon Valley.

Z3 Z3 is a powerful theorem prover developed by Microsoft Research. It is widely used in the field of formal verification, where it helps developers to prove the correctness of their software systems. Z3 is also used in artificial intelligence and machine learning applications, where it helps researchers to reason about complex algorithms and models.