Most of the chatbots in the news today are trained on public data (often including copyrighted data). But it doesn’t have to be that way. What if you had a chatbot that could access all of your personal or company data, but hosted locally so that all the data was secure and private? You could ask it all sorts of interesting questions about that data, run helpful reports, and tease out important trends or do in-depth analysis that would be very difficult for a human to do. Basically, there are lots of uses for AI beyond ChatGPT, Gemini and Claude – and done in ways that preserve the privacy of your data and queries. Today we’ll discuss how we can do AI better with the CEO and Founder of Empathy AI, Angel Maldonado.

Interview Notes

Empathy AI home page: Empathy.ai
Manifesto: https://empathy.ai/manifesto/
Molly vs the Machines: MollyVsTheMachines.com
The New Age of Ethical Commerce: https://www.youtube.com/watch?v=C_4d4outlFQ
Reddit LocaLLM: https://www.reddit.com/r/LocalLLM/
Also: https://www.reddit.com/r/LocalLLaMA/
Charlie Bridge: https://charliebridge.com/
Proton’s Lumo: https://lumo.proton.me
Project Gutenberg w/ Empathy.ai: https://projectgutenberg.empathy.ai/library/discover
Standard eBooks: https://standardebooks.org/
Calibre (free ebook manager): https://calibre-ebook.com/

Further Info

My book: https://fdsd.me/book
My newsletter: https://fdsd.me/newsletter
Support the mission: https://fdsd.me/support
Give the gift of privacy and security: https://fdsd.me/coupons
Get your Firewalls Don’t Stop Dragons Merch! https://fdsd.me/merch

0:00:18: Intro
0:03:17: Lingo
0:04:12: Why did you start Empathy.ai?
0:08:10: How should we interact with LLMs?
0:13:53: How will AI change the future of work?
0:20:49: Can we limit AI resource usage?
0:30:30: How can we make agentic AI safer?
0:39:19: How do we keep LLM sessions private?
0:47:55: What are the benefits & risks of AI?
0:50:01: What will the world be like for kids today?
0:56:29: How should a layman learn about AI?
1:00:12: What’s next for you and Empathy?
1:01:32: Wrap-up
1:05:34: Patron podcast preview
1:06:29: Looking ahead

Interview Notes

Further Info

Table of Contents