Weaviate researcher Connor Shorten announced the 142nd episode of the Weaviate Podcast with MIT PhD student Alex Zhang. The episode explains recursive language models that treat prompts as program variables and use recursive sub-agent calls for task decomposition instead of naive context stuffing. It covers Prime Agent, speculative programmatic tool calling, running RLMs in the cloud, and their impact on search. Omar Khattab replied to thank Shorten and Weaviate for three years of support.