Research · Engineering · Writing

Hugo Latapie

Intelligence, technology,
and what we do with them.

I’m a researcher, engineer, and the founder of Taijitu AI. My work connects a practical question—how to make intelligence useful—with a human one: how to create more understanding, agency, and possibility.

Selected work

Research meets
the world.

The work that stays with me is work that has to hold up outside a demonstration: in infrastructure, in changing environments, and in the hands of people who depend on it.

NDS / DIRECTV

Engineering at scale

CTO and VP of Engineering at NDS, following my work as Senior Director at DIRECTV. Technical leadership across conditional access, countermeasures, and secure smartcard systems.

Cisco / Operational AI

Signals with consequences

Led video-analytics work for road-risk analysis in Sydney and wildlife protection at Sabi Sands in South Africa—taking sensing and intelligence into real operating environments.

Cisco / Deep Vision

Research others can build on

Created Cisco Deep Vision, an open-source computer-vision and multimodal-intelligence platform, turning research into reusable working technology.

Selected research

Intelligence
that holds up.

Common sense, adaptation, reliability, and grounded action under uncertainty. These are recurring questions in my research, not separate from the practical question of usefulness.

2026 / Preprint

The Reliability Asymptote

Why capability alone is not enough, and how verification effort shapes the economics of dependable outcomes.

2026 / Preprint

Sane General Intelligence

Grounding, corrigibility, and bounded behavior for intelligence operating under uncertainty.

Explore the Common Sense AI research community

Essays & perspective

Beyond the technology.

What do our systems reward? Where does attention go? And how do we turn technical possibility into a better human experience? Writing gives me room to explore those questions.

Browse all essays

Now

Building at
Taijitu AI®.

Explore Taijitu AI

As founder and CEO of Taijitu AI, I’m working to make AI reliably useful: through AOCA, model reliability and efficiency research, and digital product engineering.

The aim is dependable results at a cost that makes sense. More broadly, I’m interested in human–AI collaboration that builds shared understanding and strengthens agency, rather than simply consuming more of our attention.

Get in touch