Solving the Hardest Problems with AI, Not Science: Monica Anderson's Epistemological Approach with Syntience and Bubble City episode artwork

EPISODE · Jun 24, 2025 · 39 MIN

Solving the Hardest Problems with AI, Not Science: Monica Anderson's Epistemological Approach with Syntience and Bubble City

from AI Risk Reward

In the AI Risk Reward podcast, our host, Alec Crawford (@alec06830), Founder and CEO of Artificial Intelligence Risk, Inc. aicrisk.com interviews guests about balancing the risk and reward of Artificial Intelligence for you, your business, and society as a whole. Podcast production and sound engineering by Troutman Street Audio. You can find them on LinkedIn and at troutmanstreetaudio.com. You can hear the difference.Monica Anderson, an experimental AI epistemologist, has been a prominent figure in AI research for decades, spanning both the 20th and 21st centuries. She worked at Google and now runs her own research company, Syntience, along with a social media platform called Bubble City. Monica discussed her career journey, including her time at Google, and the development of large language models (LLMs). She highlighted the history and evolution of AI, mentioning key milestones like Jeff Hinton's neural network research and the advent of GPUs, which led to the development of transformers and LLMs. Monica elaborated on the concept of organic learning, contrasting traditional models of language understanding with her more efficient algorithm based on discrete links and connectome algorithms. Additionally, she introduced Bubble City, a social media platform designed to create protected, topic-specific chat rooms using AI to eliminate spam, hate, and persuasion, and to facilitate focused discussions and research.Summary:Guest Background: Monica Anderson is an experimental AI epistemologist who has been a leading figure in AI research for decades, working in both the 20th and 21st centuries. She has worked at Google and currently runs her research company, Syntience, and a social media platform called Bubble City.Career Journey: Monica Anderson's career journey, including her work at Google, and her development of large language models (LLMs) through her company Syntience.History of AI: The history and evolution of AI, highlighting key milestones such as Jeff Hinton's neural network research and the advent of GPUs, leading to the development of transformers and LLMs.Organic Learning: The concept of organic learning, contrasting traditional models of language understanding with Monica's more efficient algorithm based on discrete links and connectome algorithms.Bubble City: Bubble City, a social media platform designed to create protected, topic-specific chat rooms using AI, aiming to eliminate spam, hate, and persuasion, and facilitate focused discussions and research.Companies:GoogleSyntienceBubble CityArtificial Intelligence Risk, Inc.Books:Time Enough for Love by Robert HeinleinMoon is a Harsh Mistress by Robert HeinleinMovies:HerCopyright © 2025 by Artificial Intelligence Risk

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Solving the Hardest Problems with AI, Not Science: Monica Anderson's Epistemological Approach with Syntience and Bubble City

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This episode was published on June 24, 2025.

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In the AI Risk Reward podcast, our host, Alec Crawford (@alec06830), Founder and CEO of Artificial Intelligence Risk, Inc. aicrisk.com interviews guests about balancing the risk and reward of Artificial Intelligence for you, your business, and...

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