According to @milesdeutscher (source: https://twitter.com/milesdeutscher/status/1963334195046223935), he has been exploring ways to automate and streamline his crypto research process using large language models. According to @milesdeutscher (source: https://twitter.com/milesdeutscher/status/1963334195046223935), he notes that ChatGPT and Grok are strong options in his testing. According to @milesdeutscher (source: https://twitter.com/milesdeutscher/status/1963334195046223935), Google’s Gemini surprised him the most among the LLMs evaluated. According to @milesdeutscher (source: https://twitter.com/milesdeutscher/status/1963334195046223935), the update specifically focuses on automating crypto research workflows, which is directly relevant to trading research processes in crypto.

According to Andrej Karpathy, cryptocurrency trading platforms should revise their documentation to include command-line instructions like curl commands. This change aims to enhance usability for traders utilizing large language models (LLMs) for automation and efficiency, potentially leading to increased trading activity and user satisfaction.