Evolution of Deep Learning and the Abstraction Explosion

Abstraction, mimesis and the evolution of deep learning: https://link.springer.com/article/10.1007/s00146-023-01688-z

You can find more of Prof Hamelryck's work at https://thamelry.github.io/ and his Google Scholar: https://scholar.google.com/citations?user=YoTlzjkAAAAJ&hl=en

You can find more of Dr Eklöf's work at https://researchprofiles.ku.dk/en/persons/jon-ekl%C3%B6f and https://www.linkedin.com/in/jon-ekl%C3%B6f/

You can find more of Dr Last's work at https://philosophyportal.online/ and https://www.youtube.com/@PhilosophyPortal

With the rise of companies like OpenAI and DeepSeek, Artificial Intelligence is the in-vogue talk of the day. In this episode, we discuss the philosophy of AI, the evolution of deep learning and how the "abstraction explosion", along with René Girard's mimetic theory, applies to machine learning.

Watch the ⁠⁠⁠⁠⁠video version here⁠⁠⁠⁠⁠.

RSam Podcast #66

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{Reference Links}

https://link.springer.com/book/10.1007/978-3-030-67981-1

https://thephilosophicalsalon.com/does-chatgpt-enjoy/

https://youtu.be/W1qEhkr9k8c?si=2TmrnyyPJXxzN4zd

https://arxiv.org/abs/1701.03757

https://www.crisiscritique.org/storage/app/media/2020-07-22/krecic.pdf

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