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 @milesdeutscher, Grok 4 is a powerhouse tool in his crypto research stack, significantly better than Grok 3 and unlocking many new use cases (Source: @milesdeutscher on X). He directs readers to his thread for specific methods he uses Grok 4 in crypto research, highlighting practical workflows for traders to review (Source: @milesdeutscher on X). No token mentions or performance metrics were provided; the post focuses on AI tooling adoption for crypto research (Source: @milesdeutscher on X).