AI Founder's Bitter Lesson. Chapter 1 - History Repeats Itself
In "AI Founder's Bitter Lesson: Chapter 1 - History Repeats Itself", the article delves into recurring patterns in the AI industry, highlighting the persistent success of general approaches over specific strategies. It emphasises that AI founders today are making similar mistakes to past researchers by investing in specialised domain knowledge, which is often surpassed by solutions leveraging broader computational power. As AI models improve, the significance of engineering effort in developing AI products diminishes, leading to a potential shift towards more flexible, general-purpose solutions. The article uses historical and current examples to illustrate the ongoing impact of this "bitter lesson." It serves as a cautionary message for AI startups to focus on future-ready, scalable models while adapting to evolving industry standards.
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