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This ‘lost episode’ of Turpentine VC with investor Elad Gil was recorded at a unique moment in time (September 2022) — before ChatGPT, Claude and Perplexity launched. Drawing from his experiences at Google, Elad discusses early ML systems, the open source debate, NVIDIA, labor markets, and AI alignment and shares some behind the scenes anecdotes. — 🙏 Help shape our show by taking our quick listener survey at https://bit.ly/TurpentinePulse — SPONSORS: 📑 Discover Carta, the innovative end-to-end accounting platform revolutionizing private fund management with streamlined operations and on-demand insights. Experience the new standard at https://carta.com/investors. 🤲🏼 GiveWell spends 50,000 hours every year doing deep-dives into different charitable programs to try to find the ways to do the most good for your dollar. GiveWell has now spent over 17 years researching charitable organizations and only directs funding to a few of the HIGHEST-IMPACT opportunities they’ve found. Visit https://www.givewell.org to find out more or make a donation. (Select PODCAST and enter Econ 102 at checkout to support our show.) 💥 Head to Squad to access global engineering without the headache and at a fraction of the cost: head to https://choosesquad.com/ and mention “Turpentine” to skip the waitlist. — LINKS: Attention Is All You Need: https://proceedings.neurips.cc/paper_... AI Revolution - Transformers and Large Language Models (LLMs): https://blog.eladgil.com/p/ai-revolut... Elad’s website: https://eladgil.com/ High Growth Handbook by Elad Gil: https://growth.eladgil.com/ | https://www.amazon.com/High-Growth-Ha... — FOLLOW: @eladgil @eriktorenberg @TurpentineVC — TIMESTAMPS: (00:00) Intro (00:50) Elad Gil's early AI insights (01:25) The evolution of AI and machine learning (02:48) The rise of AI startups (05:15) Transformers and their impact (07:53) Open source vs. closed source AI (10:43) AI ethics and global perspectives (11:39) Sponsors: Carta | GiveWell (13:51) Business models in AI (21:47) AI and crypto: a convergence? (23:28) Future AI use cases (24:25) Machine learning's first impact (25:21) AI in consumer and B2B sectors (25:49) Challenges in AI adoption for enterprises (27:09) Sponsor: Squad (28:40) The role of AI in creative fields (29:43) The future of human and machine collaboration (31:02) AI's influence on social media and deepfakes (33:23) Science vs. engineering in AI development (40:54) The future of AI platforms and companies (43:15) Wrap