What happens when AI doesn’t just live in text and screens, but begins to reason and act in the physical world?
Adeel Zaman, CTO and Co-Founder of DOZR, has spent his career moving from deep learning research to startups, scaling companies and tackling cold-start problems with machine learning. Now, backed by the HF0 residency, his focus is on "Embodied Intelligence" and how foundation models can learn physical tasks, adapt through feedback, and interact with humans in real time.
In this conversation, Daniel and Adeel explore why embodied AGI may be a prerequisite for true general intelligence, how voice interaction could change human-machine collaboration, and what it means to give individuals, not just big labs, the ability to teach and shape their own AI models.
🔑 What You'll Learn in This Episode
- ✅ Why embodied intelligence could be a prerequisite for reliable long-horizon agents and true "AGI"
- ✅ How real-time "reasoning out loud" can change human-robot collaboration on job sites
- ✅ Why reinforcement learning from language feedback is key when rewards aren't cleanly verifiable
- ✅ The case for individually owned AIs vs. globally shared weights
🔗 Resources & Links
- 📄 Google DeepMind’s RT-2 research overview: https://robotics-transformer2.github.io
- 🤝 Connect with Adeel on LinkedIn: https://www.linkedin.com/in/adeelzam/
- 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus
- 👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus
💬 Inspired by the idea of embodied AI? Share this episode with someone else who would be interested in the conversation!
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