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

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🎙️ 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,

Zeljko

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