Pietro Mazzaglia: Embodied AI and Alternatives to LLMs
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Dr Pietro Mazzaglia is a Senior Machine Learning Researcher at Qualcomm Research Netherlands. He did his PhD at Ghent University, Belgium, with the dissertation title "Efficient Learning Strategies for Embodied Intelligence." Dr Mazzaglia's main research areas are embodied AI, robotics, world models, and deep reinforcement learning. In this episode, we discuss embodied AI, the gap between neuroscience and AI research, multimodal foundation world models, computational phenomenology, the ARC-AGI, drawbacks of LLMs, and general artificial intelligence. You can find more of Dr Mazzaglia's work at https://mazpie.github.io/ Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠video version ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. RSam Podcast #57 --------------------------------------- Please consider financially supporting my work (ONLY if you have the means). Patreon: ⁠⁠⁠⁠⁠https://patreon.com/trsam?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink⁠⁠⁠⁠⁠ Substack: ⁠⁠⁠⁠⁠https://rsampod.substack.com⁠⁠⁠⁠⁠ --------------------------------------- {Podcast} YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/c/RahulSam⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Substack: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rsampod.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/4ryEqjut4r6SMtfxLdM1Le⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ SFP: ⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/rahul-samaranayake⁠⁠⁠⁠⁠   Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rahulsam.me/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   {Social Media} ⁠⁠⁠⁠⁠https://substack.com/@trsam/⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/name_is_rahul/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/rahul-samaranayake-981a9315b/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/trsam97⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ {Reference Links} https://mazpie.github.io/#research https://link.springer.com/article/10.1007/s11023-023-09638-w https://arcprize.org/arc {Music Used} "Supapao - Can't Fall In Love" is under a Free To Use YouTube license ⁠⁠⁠⁠⁠https://soundcloud.com/supapao⁠⁠⁠⁠⁠ Music powered by ⁠⁠⁠⁠⁠BreakingCopyright⁠⁠⁠⁠⁠ --------------------------------------- If the ideas I discuss in this podcast evoke your interest, consider visiting ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://theunhappyman.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ---------------------------------------   Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, t
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