
Summary
College football season kicks off with a unique twist as Hilton introduces a "superstition concierge" service, catering to fans' quirky rituals. From rooms that align with lucky numbers to ensuring jerseys remain unwashed for good luck, Hilton aims to enhance the game day experience through its unmatched hospitality.
The conversation shifts to the Consumer Electronics Show (CES) in Las Vegas, where emerging technologies are showcased. The hosts explore various innovations, including AI-driven robots, holographic devices, and AI influencers. They highlight the potential of AI in everyday life, discussing how these technologies can improve convenience and efficiency, such as AI bartenders and smart home companions.
The discussion also touches on the implications of AI in the medical field, suggesting that while AI may assist in diagnostics and procedures, the human element in patient care remains crucial. As the hosts contemplate the future of technology, they express excitement for advancements in AI wearables and home assistants, while also acknowledging the psychological impacts of increased reliance on technology. The episode concludes with reflections on the balance between technological progress and human connection.
Show Notes
🐙 Lunch & Learn: AI Influencers, Robot Bees, & Other Cool AI Things----------------------------------------------------🤖 Sign up here to get accompanying workbooks, summaries, and notifs for future lunch & learns: https://www.lonelyoctopus.com/email-signup✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c:🐙 Lonely Octopus: https://www.lonelyoctopus.com/ Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects!🔗Affiliates ======================== My SQL for data science interviews course (10 full interviews): https://365datascience.com/learn-sql-for-data-science-interviews/https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ======================== 📷 camera: https://amzn.to/3LHbi7N 🎤 mic: https://amzn.to/3LqoFJb 🔭 tripod: https://amzn.to/3DkjGHe 💡 lights: https://amzn.to/3LmOhqk📲Socials ======================== instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🤯Study with Tina ======================== Study with Tina channel: https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar: https://bit.ly/3wvPzHB🎥Other videos you might be interested in ======================== How I consistently study with a full time job: https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈⬛🐈⬛About me ======================== Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!📧Contact ======================== youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: [email protected]======================== Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go.Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.
---------- Keywords: coding tips, gpt models, tina huang, open source ai, programming, self study, llm comparison, tech career Learn more about your ad choices. Visit megaphone.fm/adchoices
More from Tina Huang
Which LLM Is The Best? Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizing outcomes. In fact, she firmly avoids doing extra work to reach her goals - one of the many reasons she loves AI. Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --------------------------------
Watch this video before applying to Georgia Tech OMSCS
How to Completely Transform Your Life in 6 Months (the butterfly effect 🦋)
My UPenn MCIT Experience I just graduated - yay! In this video, I talk about my on campus Masters in Computer and Information Technology (MCIT) experience at the University of Pennsylvania (UPenn). I go into details about the classes, internships, full-time jobs, and admissions. Please feel free to reach out to me for more information and/or feedback! Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. -----