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This article is about the author’s experience with algorithms and how they have powered his professional life for the last 25 years. It also discusses the distinction between classic algorithms, machine learning, deep learning and today’s large language models. Additionally, it provides an overview of the author’s first patent and third company, Genomic Acceleration, which was an algorithm in microprocessor form. Lastly, it explains why the author loves classical algorithms and how they can be proved to be correct.