According to @karpathy, he now reads blogs, articles, and book chapters using a three-pass LLM workflow: pass 1 manual reading, pass 2 explain and summarize, and pass 3 Q&A, which he says yields a deeper understanding than moving on, source: @karpathy on X, Nov 18, 2025. He adds that this habit is growing into one of his top LLM use cases, source: @karpathy on X, Nov 18, 2025. He also states that writers may increasingly write for an LLM so the model first internalizes the idea and then targets, personalizes, and serves it to users, source: @karpathy on X, Nov 18, 2025. The post does not mention cryptocurrencies or trading signals, indicating any crypto market relevance would be indirect via LLM usage patterns in content consumption and personalization, source: @karpathy on X, Nov 18, 2025.

According to Balaji, a 2021 video explores the concept of the ledger of record and anticipates the integration of AI-driven summarization of onchain data to generate news reports. This development is expected to enhance transparency and efficiency in the cryptocurrency markets, offering traders faster and more accurate insights directly from blockchain data. The use of artificial intelligence for automated news creation could lead to more informed trading decisions and reduced information asymmetry, impacting both trading strategies and market behavior (source: Balaji).