Computer Vision's Journey

AI vision is solved. AI reasoning is not. The bes…

An episode of the NeurIPS 2025 by Basis Set podcast, hosted by Basis Set, titled "Computer Vision's Journey" was published on December 2, 2025 and runs 14 minutes.

December 2, 2025 ·14m · NeurIPS 2025 by Basis Set

Summary

AI vision is solved. AI reasoning is not. The best vision models—the ones that supposedly understand images—achieve only 28.8% accuracy on tasks requiring physics, time, and causality. You'll trace the journey from 2015's Faster R-CNN breakthrough (56,700+ citations) through the evolution from messy multi-step pipelines to elegant end-to-end deep learning, only to discover the humbling reality: AI can classify objects brilliantly but can't reason about what it sees. Worse, there's a "reasoning illusion"—models get right answers through wrong processes. This episode shows you why the gap between perception and understanding matters. Topics Covered - Faster R-CNN: The breakthrough that gave AI eyes - Region Proposal Networks explained simply - The reasoning gap: classification ≠ understanding - RiseBench: Testing temporal, causal, spatial, and logical reasoning - World models for self-driving (Gaia 2) - The "reasoning illusion": right answers, wrong process - Process Verified Accuracy: checking the work, not just the answer

Episode Description