Machine Learning researcher and educator. Host of Machine Learning Street Talk podcast. Known for in-depth technical interviews with AI researchers. Tim Scarfe (MLST) critiques statistical learning’s limits, probing whether transformers “understand” or compress patterns. He advocates for philosophical rigor in evaluating AI’s semantic grounding, distinguishing correlation from causal reasoning.