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!
Did you like the episode? You know the drill:
📌 Subscribe for more conversations with the builders shaping real-world AI.
💬 Leave a comment if this resonated.
👍 Like it if you liked it.
🫶 Thank you for watching and sharing!
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/
📰 Want the transcript and edited version?
Subscribe to Turing Post https://www.turingpost.com/subscribe
Chapters
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.
Sign up: Turing Post: https://www.turingpost.com
Follow us
Ksenia and Turing Post:
https://x.com/TheTuringPost
https://www.linkedin.com/in/ksenia-se
https://huggingface.co/Kseniase
#AI #FutureOfAI #DataBottleneck #SelfDriving #Tesla #Waymo #Robotics