EssayPodcast

AI, Whole Brain Emulation & The Future We Can’t Ignore

In today’s episode of The Metaverse Podcast, Lawrence Lundy joins host Jamie to explore the frontier of cutting-edge technologies, including large language models, neuroscience, and decentralized networks.

Jamie Burke9 Nov 20231 min readAIAssociation
Essay · Podcast · Nov 2023

In today’s episode of The Metaverse Podcast, Lawrence Lundy joins host Jamie to explore the frontier of cutting-edge technologies, including large language models, neuroscience, and decentralized networks.

If you’re fascinated about AI, emerging technologies, data privacy, investment prospects, and the intriguing notion of brain emulation, this podcast offers a thought-provoking journey through the world of pioneering technologies. Tune in to:

  • Dive into large language models, neuroscience, and decentralized networks and explore the potential of these innovations to reshape industries and societies.

  • Gain valuable insights into the practical applications of large language models, like AI-generated content creation, and how they’re driving significant changes across various sectors, including media and entertainment.

  • Gain a compelling perspective on how privacy-enhancing technologies could reshape the way we handle data and unlock associated investment opportunities.

  • Venture into futuristic ideas, such as whole brain emulation, which could fundamentally change our understanding of human consciousness and artificial intelligence.

  • Discover the latest advancements in silicon and hardware innovations that are crucial for AI and crypto technologies, including robot chiplets, high-bandwidth memory, optical computing, analog computing, and quantum computing.

  • Gain insights into the current state of decentralized autonomous organizations (DAOs) and how they are evolving with the integration of massive trained models.

Listen on Spotify

Field notes from the frontier: new theses, research and essays by email.

The substrate · OV System State

Everything here sits on a knowledge graph of our intellectual lineage. Browse it directly: