Skip to content
Building AI That Actually Works episode artwork

Apr 15, 2025 37 min

Building AI That Actually Works

from AI-podden

In this week's episode, Ather chats with Magnus Hambleton, investor at byFounders and former data lead at Natural Cycles. Magnus has successfully applied transformers to improve fertility predictions in a medical setting. As an investor, he focuses on agentic AI and backs startups slightly ahead of what's currently possible, betting on near-future model capabilities. He remains cautious about LLMs' reliability and generalization, believing new architectures may be needed for AGI. While big tech is dominant, he sees room for startups in complex, workflow-driven applications.

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Building AI That Actually Works

0:00 37:26

No transcript yet.

Requests help us decide what to transcribe next.

Share this episode

Similar podcasts

CISO Perspectives (public) N2K Networks This season on CISO Perspectives, host Kim Jones explores some of the challenges of leading through uncertainty. We explore the complexity of the changing nature of regulation and working with the federal government, the evolution of privacy and fraud, and how emerging technologies like AI and quantum computing are changing cyber. When you don’t know what questions to ask, you’re afraid to ask, or don’t know who to ask, CISO Perspectives provides the foundation for learning in this brave new world.

Frequently asked questions

How long is this episode of AI-podden?

This episode is 37 minutes long.

When was this AI-podden episode published?

This episode was published on April 15, 2025.

Can I download this AI-podden episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.