Is compute the main roadblock? Or the models are not big enough for AGI?

Ulrik Hansen, president and co-founder of Encord, argues that the true bottleneck is data.

In this episode of Inference, we get into:

Why models are mostly interchangeable, but data orchestration makes or breaks real-world AI

Tesla’s compounding advantage from live human feedback vs. Waymo’s cautious rollout

Why robotics lags behind digital AI – and how feedback loops shape both

The coming split between “cheap” intelligence (facts and patterns) and “expensive” intelligence (creativity, taste, vision)

What is the new connection economy

We also discuss the risks: synthetic data eating its own tail, the trust and safety challenges that make brand more valuable than ever, and why Ulrik believes the next 10 years will bring more change than the last 50.

This is a conversation about the future of AI systems, the bottlenecks that matter, and what it means when humans and machines start sharing the same workflows. Watch it!

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Guest:

Ulrik Hansen, president and co-founder of Encord

https://www.linkedin.com/in/ulrik-stig-hansen-2658273b/

https://x.com/ulrikstighansen

https://x.com/encord_team

https://encord.com/

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Turing Post is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they’re changing how we think, work, and live.

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#AI #FutureOfAI #DataBottleneck #SelfDriving #Tesla #Waymo #Robotics

What Really Blocks AI Progress? Ulrik Hansen from Encord thinks it’s…

Inference by Turing Post