Aditya Naganath is an investor at Kleiner Perkins, a legendary VC firm with investments in companies such as Google, Amazon, Spotify, Doordash, Slack, Intuit, UiPath, Figma, and many more. Prior to this, he was a product manager at Google focusing on growth initiatives for the SMB monetization team within emerging markets. He has previously been in technical roles at Palantir, Twitter, and Nextdoor. He earned a patent during his time at Twitter for a technical analytics product he co-created. And he has a bachelor’s degree in Computer Science from Columbia University and an MBA from Stanford. In this episode, we cover a range of topics including: - Uses of AutoGPT - How to intervene when AutoGPT gets stuck and how to provide feedback - ChatGPT Plugins - Generative AI in the enterprise - Context windows of LLMs - What new emergent properties can be uncovered if LLMs can reason over larger context windows - LLMs for developers - AI landscape and investment opportunities Aditya's favorite book: Factfulness (Author: Hans Rosling)--------Where to find Prateek Joshi:  Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi