Yin & Young Podcast EP 76: Matt Maybeno - AI, Machine Learning, Existential Risks & Benefits
<iframe width="200" height="113" src="https://www.youtube.com/embed/41CNwUJOHd4?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Yin & Young Podcast EP 76: Matt Maybeno - AI, Machine Learning, Existential Risks & Benefits"></iframe><br/><p class="" style="white-space:pre-wrap;">Hope everyone had an amazing Thanksgiving! What a better way to enter the holiday season than to discuss with my ol’ college friend Matthew Maybeno how artificial intelligence will take away all our jobs (or not). </p><p class="" style="white-space:pre-wrap;">It was great to reconnect with Matt and to see how he’s moved from biology into the tech space and thrived. His conversation with Dan and I is a great primer in understanding these new technologies and how to make better use of them. Dan also raises good questions about hallucinations and privacy concerns. </p><p class="" style="white-space:pre-wrap;">Matt and I also reminisce about our dorm days and using high speed internet for educational purposes : ). Enjoy! </p><p class="" style="white-space:pre-wrap;">- James </p><p class="" style="white-space:pre-wrap;"><strong>Highlights</strong></p><p class="" style="white-space:pre-wrap;">00:00:06 Intro. Disclaimer: Large shifts in the field since recording earlier this year, but key principles remain the same. </p><p class="" style="white-space:pre-wrap;">00:02:08 Matt’s use cases for artificial intelligence (AI) and his preferred Large Language Models (LLMs). </p><p class="" style="white-space:pre-wrap;">00:08:40 AI hallucinations. </p><p class="" style="white-space:pre-wrap;">00:11:23 Zero-shot prompting (get it right the first try), LLMs: subjective experience and training. </p><p class="" style="white-space:pre-wrap;">00:16:34 Pluses and minuses to different types of prompting. </p><p class="" style="white-space:pre-wrap;">00:21:49 Using AI as a tool to be more productive. </p><p class="" style="white-space:pre-wrap;">00:26:39 Matt’s early interests, working in biology, overcoming frustrations with math, now in the tech space. </p><p class="" style="white-space:pre-wrap;">00:45:10 Early internet memories: DC++, dorm networks, IRC, and the suite mate with a terabyte of adult videos. </p><p class="" style="white-space:pre-wrap;">00:48:28 What is intelligence? Consciousness? </p><p class="" style="white-space:pre-wrap;">00:55:46 Human-like AIs, Sci-fi parallels: Ex Machina, Cylons. </p><p class="" style="white-space:pre-wrap;">01:03:25 Defining AI, machine learning (ML), natural language processing (NLP) in simple terms. </p><p class="" style="white-space:pre-wrap;">01:07:32 Explaining LLMs </p><p class="" style="white-space:pre-wrap;">01:15:02 How to survive in an AI-driven world. </p><p class="" style="white-space:pre-wrap;">01:33:26 What are weights in AI. Current risks in AI: the weights used by humans to create malicious AI, jailbreaks, security threats. Potential existential risks (à la Terminator, The Matrix, etc…). </p><p class="" style="white-space:pre-wrap;">01:43:44 Language Corner:</p><p class="" style="white-space:pre-wrap;">Japanese: 進化（shinka）- evolution </p><p class="" style="white-space:pre-wrap;">English (GenAlpha slang): glazed - favored, skibidi - weird, odd </p><p class="" style="white-space:pre-wrap;">Taunting phrases: Japanese - そーそーみーみー (sō sō mī mī), にゃー (nyah) cat sound. English - nananabooboo (trademarked by Matt’s daughter) Spanish - Lero lero, candelero (sucks to be you) </p><p class="" style="white-space:pre-wrap;">01:48:28 Staying balanced: marathon experiences, running, indoor soccer, Kung Fu forms (horse bench). Closing remarks. </p><p class="" style="white-space:pre-wrap;">Article/Movies/Show referenced: </p><p class="" style="white-space:pre-wrap;">- Ted Chiang’s “Why A.I. Isn’t Going to Make Art”: <a href="https://www.newyorker.com/culture/the-weekend-essay/why-ai-isnt-going-to-make-art">https://www.newyorker.com/culture/the-weekend-essay/why-ai-isnt-going-to-make-art</a> </p><p class="" style="white-space:pre-wrap;">- Ex Machina: <a href="https://www.imdb.com/title/tt0470752/">https://www.imdb.com/title/tt0470752/</a> </p><p class="" style="white-space:pre-wrap;">- Her: <a href="https://www.imdb.com/title/tt1798709/">https://www.imdb.com/title/tt1798709/</a> </p><p class="" style="white-space:pre-wrap;">- The Matrix: <a href="https://www.imdb.com/title/tt0133093/">https://www.imdb.com/title/tt0133093/</a> </p><p class="" style="white-space:pre-wrap;">- Terminator: <a href="https://www.imdb.com/title/tt0088247/">https://www.imdb.com/title/tt0088247/</a> </p><p class="" style="white-space:pre-wrap;">- Battlestar Galactica: <a href="https://www.imdb.com/title/tt0407362/">https://www.imdb.com/title/tt0407362/</a> </p><p class="" style="white-space:pre-wrap;">Note about the transcript/subtitles: AI transcription (Adobe Premiere) was used, so there may be errors.</p><p class="" style="white-space:pre-wrap;">—</p><p class="" style="white-space:pre-wrap;">Follow and connect with us on:</p><p class="" style="white-space:pre-wrap;">YouTube: <a href="https://www.youtube.com/@yinyoungpodcast" target="_blank">https://www.youtube.com/@yinyoungpodcast</a></p><p class="" style="white-space:pre-wrap;">Instagram: <a href="https://www.instagram.com/yinyoungpodcast" target="_blank">https://www.instagram.com/yinyoungpodcast</a></p><p class="" style="white-space:pre-wrap;">Facebook:<a href="https://www.facebook.com/yinyoungpodcast" target="_blank"> https://www.facebook.com/yinyoungpodcast</a></p><p class="" style="white-space:pre-wrap;">If you enjoyed this episode, please like and subscribe. It helps us continue doing this podcast and reach more people. Thank you!</p><p class="" style="white-space:pre-wrap;">Inquiries: yinyoungpodcast[at]gmail.com</p>
