Neuroscience

From Restoring Sight to Reimagining the Brain, with Max Hodak

From Restoring Sight to Reimagining the Brain, with Max Hodak

Max Hodak, co-founder and CEO of Science.xyz, discusses their revolutionary PRIMA retinal implant, restoring functional vision to the blind. He elaborates on treating the brain as a computational system, unlocking new medical approaches, and explores the broader potential of neural devices—from restoring capabilities to expanding human potential, touching on identity, consciousness, and AI-brain parallels. Science's long-term vision aims to reduce human fragility by repairing, replacing, and upgrading ourselves.

From Systems of Record to Systems of Context — Omri Bruchim, monday.com

From Systems of Record to Systems of Context — Omri Bruchim, monday.com

monday.com introduces a paradigm shift from traditional "systems of record" to a "system of context" to overcome the limitations of current AI agents. By developing a "Monday world model" with a unique data architecture, including slow and fast processing engines inspired by neuroscience and lambda architecture, their AI assistant Sidekick gains a deep understanding of user workflows, priorities, and implicit meaning, allowing it to provide truly contextual and proactive assistance.

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

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.

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

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.

Will machines ever be intelligent?

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.

How To Build The Future: Max Hodak

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.