I feel that what was missing is exactly AI front office trade tools. The trading pros who wanted a black box investing style, i.e: the math says buy stock X so buy stock X, have had the option to do that with the knowledge that it's extremely effective based on the Medallion Fund returns. That's compared to a more traditional Warren Buffet-like style of valuing a business or even a more Michael Burry-like style of finding missed gaps for a collapse.
What was missing all these years is what this is. A way for someone who doesn't know much about investing (or doesn't have the time) to "just past data there and ask it is this a good investment" like other esteemed HN members mentioned they are doing.
> Using Vcaml and Ecaml, they wired AI tools straight into Neovim, Emacs, and VS Code.. RL Feedback: The system learns from what works, tweaking itself based on real outcomes.. Jane Street records the [developer] journey — every tweak, every build, every “aha!” moment. Every few seconds, a snapshot locks in the state of play. If a build fails, they know where it went south; if it succeeds, they see what clicked. Then, LLMs step in, auto-generating detailed notes on what changed and why. It’s like having a scribe for every coder.
