Today's trippy, brain-stimulating episode features Varun Godbole, a former Google Gemini LLM researcher who’s turned his attention to the future implications of the crazy-fast-moving exponential moment we're in.

Varun:

Spent the past decade doing Deep Learning research at Google, across pure and applied research projects.
For example, he was co-first author of a Nature paper where a neural network beat expert radiologists at detecting tumors.
Also co-authored the Deep Learning Tuning Playbook (that has nearly 30,000 stars on GitHub!) and, more recently, the LLM Prompt Tuning Playbook.
He's worked on engineering LLMs so that they generate code and most recently spent a few years as a core member of the Gemini team at Google.
Holds a degree in Computer Science as well as in Electrical and Electronic Engineering from The University of Western Australia.

Varun mostly keeps today’s episode high-level so it should appeal to anyone who, like me, is trying to wrap their head around how vastly different society could be in a few years or decades as a result of abundant intelligence.

In today’s episode, Varun details:

How human relationship therapy has helped him master A.I. prompt engineering.
Why focusing on A.I. agents so much today might be the wrong approach — and what we should focus on instead.
How the commoditization of knowledge could make wisdom the key differentiator in tomorrow's economy.
Why the future may belong to "full-stack employees" rather than traditional specialized roles.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.