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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 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.
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Copyright © 2025 by Artificial Intelligence Risk
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:
Companies:
Books:
Movies:
Copyright © 2025 by Artificial Intelligence Risk