Apr 29, 2026

Demis Hassabis on Building DeepMind, AlphaFold, and the Final Stretch to AGI

Demis Hassabis, CEO of Google DeepMind, outlines the path to AGI, which he predicts by 2030. He discusses the profound impact of AI on science, particularly in revolutionizing drug discovery with systems like AlphaFold, and posits that AI will enable new forms of simulation-based science. Hassabis also delves into the philosophical underpinnings of his work, viewing information as the universe's most fundamental quantity and advocating for developing AGI as a powerful tool before tackling the deeper questions of consciousness.

Apr 08, 2026

From Neural Networks to Digital Brains: The Next Leap in AI • Daniel Lütgehetmann • GOTO 2025

Daniel Lütgehetmann of inait introduces "digital brains," biologically accurate computational models of real brains, as a solution to current AI's limitations in physical world interaction. Unlike traditional AI that struggles with dynamic environments and skill accumulation, these digital brains leverage biologically inspired learning rules to achieve dramatically faster learning in robotics and complex systems, demonstrating potential for real-world adaptability and efficiency.

Mar 23, 2026

Will machines ever be intelligent?

Doug Burger, Nicolò Fusi, and Subutai Ahmad explore the intelligence of AI, contrasting transformer-based LLMs with the human brain's distributed, continuously learning architecture. They delve into differences in efficiency, representation, and sensory-motor grounding, debating what intelligence truly means and how future AI might bridge the gap.

Mar 09, 2026

How To Build The Future: Max Hodak

Max Hodak, co-founder of Neuralink and founder of Science, discusses the company's retinal implant that restores sight, the concept of the brain as a computer with a definable API, the surprising parallels between neural representations and latent spaces in AI, and the future of bio-hybrid interfaces.

Feb 02, 2026

State of the Art of Biological Computing • Ewelina Kurtys & Charles Humble • GOTO 2026

Dr. Ewelina Kurtys of FinalSpark discusses the ambitious goal of building computers from living neurons, aiming for a 1-million-fold increase in energy efficiency over digital systems. The conversation delves into the technical challenges of neural encoding and plasticity, the use of brain organoids, and the profound ethical and philosophical questions surrounding determinism and consciousness in biological hardware.

Jan 23, 2026

Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]

Professor Mazviita Chirimuuta discusses the philosophical underpinnings of neuroscience, challenging the brain-as-computer metaphor. She introduces 'haptic realism'—a view of knowledge as interactive and constructed—and argues for the inseparability of embodiment, finitude, and true understanding in both humans and AI.