Tinker shares cookbook recipe for training forecasters

Tinker announced a cookbook recipe for training a model to predict event probabilities given reference information. The recipe uses reinforcement learning in Tinker to produce calibrated predictions on future events. It directs users to begin with the dataset from ProphetArena and then substitute their own data. The official Tinker account posted the release, and research engineer Neal Wu highlighted the new recipe in a separate post.