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2:59:44ENTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Presenta: Nathan LabenzGoogle researcher Ali Behrouz tells Nathan Labenz how stacking update frequencies — not just layers — and an offline sleep phase could give language models genuine continual learning.
1:13:23ENAn AI Found a GABA-Cancer Link. The Next Step Is Talking to the Cells.Presenta: Nathan LabenzMichael Levin and Leo Pio Lopez on a multilayer embedding that predicted melanoma, a cancer with no mutations, and why biology's real interface is cognitive.
1:59:47ENBCI Would Take 30 Years. This Studio Pivoted to Alignment InsteadPresenta: Nathan LabenzJudd Rosenblatt and Mike Vaiana of AE Studio describe two biologically inspired results that do not need interpretability breakthroughs to work.
1:29:14EN55% of People Have Had a Lucid Dream. Prophetic AI Wants the Rest to Have One Every NightPresenta: Nathan LabenzProphetic AI co-founders Eric Wollberg and Wesley Berry tell Ate-a-Pi how a headband of EEG and focused ultrasound, steered by a neural transformer, is meant to light up the prefrontal cortex during REM.
2:09:50ENHe stayed up all night playing Civilization 6 with his mindPresenta: Nathan LabenzDean W. Ball surveys EEG, ultrasound stimulation, and Neuralink with Nathan Labenz, and argues that merging with machines started decades ago.
1:34:11ENFrom forty hours in a scanner to one: reconstructing what you see from a shared brain spacePresenta: Nathan LabenzPaul Scotti explains how MindEye2 maps a new person's fMRI into CLIP with an hour of data, and why a linear layer plus better image generators changed the cost of reading minds.
1:25:09ENTwo-Headed Worms, Regenerated Legs, and a Sort That Learned to WaitPresenta: Nathan LabenzTufts biologist Michael Levin tells Cognitive Revolution why anatomy is rewritable software, and why he stopped a paper that might have made AI more alive.
1:58:43ENA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Presenta: Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.
1:18:18ENFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone SawPresenta: Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.









