In this episode of AI-Curious, we explore a side of AI that rarely gets the spotlight: Large Geospatial Models (LGMs). You’ve heard of LLMs — now meet their real-world counterpart. LGMs could power everything from autonomous vehicles and urban planning to smarter first-response systems and industrial logistics.

We speak with Bill Lakeland, CEO of Spexi, a company building a decentralized fleet of self-flying drones that are actively mapping the planet — one 25-acre hex at a time. We dig into how these drones collect fresh, high-res data; how that data is authenticated and standardized; and how it could enable a new generation of real-world AI applications.

Along the way, we discuss:

• (5:00) What LGMs are, and how they differ from LLMs

• (13:07) Why real-time geospatial data is crucial for first responders

• (20:33) How drones fit into the LGM landscape

• (25:12) How Spexi’s autonomous drone “specxagons” work

• (31:43) Why their aerial data is 900x more detailed than Google Earth

• (36:26) How they’re addressing privacy, regulation, and standardization

• (40:02) What happens after the footage is collected — and how it’s turned into insights

• (45:35) The future integration of LGMs and LLMs

• (48:00) Speculative futures: how LGMs could change everyday life

If you’re curious about AI in the physical world — not just on screens — this is a conversation you won’t want to miss.

Spexi:

https://www.spexi.com/

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In this episode of AI-Curious, we speak with Sarah Franklin, CEO of Lattice and former CMO of Salesforce, about how business leaders are adapting to the rapid rise of AI in the workplace. We explore what it means to lead during a time of disruption, how AI agents and digital workers are already being deployed across organizations, and why the biggest challenge is often not the tech—but the mindset.

Sarah shares her perspective on where AI is delivering real value today, from HR to sales to internal knowledge management, and she offers a candid take on how leaders can navigate change while maintaining trust, transparency, and human-centric values.

We also dive into the future: digital twins, avatar-led meetings, and what it might mean to lead a team that includes both humans and AI agents.

TOPICS & TIMESTAMPS

00:00 – Why we’re still early in understanding AI leadership

02:42 – Why past tech shifts (like cloud and mobile) don’t compare to AI

05:51 – Lattice’s mission and how AI fits into the HR stack

09:38 – Are AI agents real or still theoretical?

14:21 – Where AI agents are being used today (sales, service, HR)

20:02 – Digital twins and what leadership looks like with AI teammates

26:28 – How to address employee anxiety about AI and job security

30:19 – Sarah’s favorite personal and professional use cases for AI

34:59 – Prompting frameworks and why specificity matters

38:43 – A forecast for the future of AI and HR

Lattice

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What happens when an AI student enrolls in university? In this episode of AI-Curious, we explore the fascinating case of Flynn, an AI-artist and the first AI to be admitted as a student at the University of Applied Arts Vienna. We speak with Chiara Kristler, one of Flynn’s co-creators, and Anika Meier, the curator of The Second-Guess: Body Anxiety in the Age of AI, where Flynn makes its artistic debut.

Flynn is more than just an AI chatbot—it engages in conversations, generates art, and even passed a verbal university admissions interview. But its presence raises big questions: Can AI be creative? How does AI challenge human artists? What does an AI student mean for the future of education?

We discuss:

• (00:00) Introduction to Flynn and why this is a breakthrough moment for AI

• (03:15) How Flynn was created and what makes it different from other AI agents

• (07:55) The university admissions process and how Flynn passed the interview

• (12:30) Can AI actually be creative, or is it just mimicking human artists?

• (18:04) The tension between AI and human artists—competition or collaboration?

• (24:22) AI fatigue, digital exhaustion, and the ethics of AI in creative spaces

Flynn’s journey raises deep questions about AI, creativity, and human identity. Join us for a thought-provoking conversation on what happens when machines start learning alongside us.

🔗 Talk to Flynn: https://i-am-flynn.web.app/

Flynn's

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