Cognitive Computing vs. LLMs (w/ Mahault Albarracin)
RSam Podcast
Exploring Computational Efficiency and Active Inference AI
This chapter explores the sustainability challenges posed by artificial intelligence, particularly its significant energy consumption and environmental impact. It introduces Active Inference AI as a potential solution to the AI alignment problem, offering insights into the future of computational models.
Mahault Albarracin is a PhD student at UQAM, Montréal, Québec, researching cognitive computing and social sciences. Mahault is Director of Research Strategy and Product Integration at VERSUS, a cognitive computing company. She is also an IEEE fellow, author, lecturer and has an MA in sexology. In this episode, we discuss the fundamental difference between LLMs and agents built on cognitive computing principles, AI agency, active inference AI, free energy principle, computational phenomenology and neo-materialism.
You can find more of Mahault's work at https://scholar.google.ca/citations?user=KAxZtUIAAAAJ&hl=en and https://www.linkedin.com/in/mahault-albarracin-1742bb153/
Verses AI: https://www.verses.ai/research
Spatial Web Foundation: https://spatialwebfoundation.org/
Watch the video version here.
RSam Podcast #73
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{Reference Links}
https://www.mdpi.com/1099-4300/24/4/476
https://journals.sagepub.com/doi/full/10.1177/26339137231222481
https://www.mdpi.com/1099-4300/26/4/303
https://link.springer.com/chapter/10.1007/978-3-031-28719-0_7
https://link.springer.com/article/10.1007/s11023-023-09638-w
https://direct.mit.edu/books/oa-monograph/5299/Active-InferenceThe-Free-Energy-Principle-in-Mind
https://iwaiworkshop.github.io/
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