whitehatStoic
whitehatStoic
Self-Improving Recursive Web Crawler
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Self-Improving Recursive Web Crawler

Concept, Promise and Challenges


The text (and podcast from NotebookLLM) presents a design for a self-improving recursive web crawler. The crawler uses a recursive algorithm to navigate the internet, combining this with a machine learning component that allows it to learn from the data it gathers. This learning process enables the crawler to adapt its search strategy based on its findings, essentially making it "self-asking" by identifying knowledge gaps and prioritizing relevant links. The design includes considerations for efficiency, ethical practices, and potential future enhancements, such as integrating more sophisticated AI models. A Python code example illustrates the core functionality.

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