A curated list of resources on recursive self-improvement in AI: systems that improve their own performance loops through feedback, experience, self-evaluation, tool use, code evolution, automated ...

A string question with one trap: comparing letters with < and > in Python compares character codes, and every uppercase letter has a smaller code than every lowercase one. You get a sentence of words ...

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G7]varsity :Stock Market basics done (intermediate started) G6] mckinsey module 1 completed,problem solving started.

As AI systems tackle increasingly open-ended research problems, human experts may struggle to assess results and guide further progress. The model itself may be the best available optimizer and ...

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After that, you get another 40-minute AI interview: 25 minutes for one coding question (mine was string-based) and 15 minutes discussing your approach. The AI goes deep into every answer and asks ...