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)

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