What should machines still learn from humans? That was the question at CVPR 2026's ReLearn workshop. Alyosha Efros argued today's AI may already learn too much from us, since even self-supervised vision leans on human-designed augmentations. Dima Damen made the case for egocentric vision: learning from the continuous experience of one life. Manling Li traced where foundation models still fail to build spatial understanding, from topological to metric reasoning. ↧ ReLearn at CVPR 2026: can AI still learn from humans? Recap of ReLearn at CVPR 2026, co-organized by Lambda: six talks on what AI can still learn from humans, from egocentric vision to spatial reasoning.