AI for Healthcare
Dev & Doc
The building blocks of AGI - Google's Gemini, OpenAI's Q*

The building blocks of AGI - Google's Gemini, OpenAI's Q*

What are we missing to achieve AGI - planning, multimodality, better reward functions, continuity, memory, emotions...

No transcript...

You can also listen to the episode on YouTube DevAndDoc and Spotify DevAndDoc

AI for Healthcare is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

🎙️ Podcast Highlights

  • Intro: Kicking off with an in-depth look into the advancements and debates in the field of AGI (Artificial General Intelligence).

  • AGI's Divergent Philosophies: Exploring the two prevailing camps in AGI development: Yann Lecun's focus on architecture versus Geoffrey Hinton's emphasis on data.

  • LLMs and Humanity: Delving into whether the emergent capabilities of Large Language Models (LLMs) could potentially pose a threat to humanity.

  • The Path to AGI: A discussion on the differing approaches to AGI, comparing neuroscience perspectives with those in computer science.

  • Comparing LLMs to the Human Brain: An analysis of how Large Language Models stack up against the complexities of the human brain.

  • The Human Element in AI: Debating whether AIs need to incorporate human-like qualities such as intrinsic personalities, temperaments, motivations, joy, and a sense of reward.

Thank you for listening,


AI for Healthcare
Dev & Doc
Our podcast is structured as a collection of conversations between doctors and developers exploring the potential of AI in healthcare. Only the last couple of episodes are on Substack, you can find the older ones on YouTube or Spotify -