Sign up to save your podcasts
Or
Share #4 - Can Robots Learn? TIME 100 Prof. Benjamin Rosman on AI, Robotics & Intelligence
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
#4 - Can Robots Learn? TIME 100 Prof. Benjamin Rosman on AI, Robotics & Intelligence
🤖 Can Robots Learn How to Learn?
“If we could have infinite intelligence, what would we do with it?” — Prof. Benjamin Rosman
In this episode, Samraj Matharu speaks with Prof. Benjamin Rosman – who is one of TIME Magazine's 100 Most Influential People in AI 2025, Google-award winning, Professor of Machine Learning & Robotics at the University of Witwatersrand, and Director of the RAIL Lab.
Benjamin shares his journey from robotics into AI research and explains how his lab is pioneering agents that can learn how to learn. Together, we explore curiosity-driven learning, multi-agent systems, and the future of general intelligence. This conversation is essential for anyone interested in the philosophy of intelligence, building adaptive robots, and the long-term implications of AI.
EPISODE HIGHLIGHTS (46:20)
0:00 ➤ Introduction & Benjamin’s journey into robotics and AI
3:15 ➤ Why intelligence is always context-dependent
7:40 ➤ Agents that “learn how to learn”
12:05 ➤ Curiosity & intrinsic motivation in AI
17:20 ➤ Aligning human values with intelligent agents
23:10 ➤ Robotics: when intelligence meets the physical world
28:35 ➤ Multi-agent systems and coordination
34:00 ➤ AI in Africa: opportunities & challenges
39:15 ➤ Long-term visions for general intelligence
44:00 ➤ Advice for the next generation of AI researchers
46:00 ➤ Closing thoughts & wrap-up
KEY QUESTIONS ANSWERED
🤖 What does it mean for an AI system to “learn how to learn”?
🤖 Why is context so important when we talk about intelligence?
🤖 How can curiosity and intrinsic motivation be built into AI agents?
🤖 What are the challenges in aligning AI with human values?
🤖 What role will robotics and multi-agent systems play in AI’s future?
SUBSCRIBE to The AI Lyceum for more deep dives into AI, ethics, and the future of work.
CONNECT
Linktree → https://linktr.ee/TheAILyceum
Website → https://theailyceum.com
Instagram → https://instagram.com/TheAILyceum
LinkedIn Company Page → https://www.linkedin.com/company/108295902
Join the LinkedIn Community → https://www.linkedin.com/groups/13322112
20% OFF University of Oxford Executive Programmes → https://theailyceum.com
#ai #artificialintelligence #machinelearning #robotics #generativeai #futuretech #podcast
View all episodes
By Samraj Matharu🤖 Can Robots Learn How to Learn?
“If we could have infinite intelligence, what would we do with it?” — Prof. Benjamin Rosman
In this episode, Samraj Matharu speaks with Prof. Benjamin Rosman – who is one of TIME Magazine's 100 Most Influential People in AI 2025, Google-award winning, Professor of Machine Learning & Robotics at the University of Witwatersrand, and Director of the RAIL Lab.
Benjamin shares his journey from robotics into AI research and explains how his lab is pioneering agents that can learn how to learn. Together, we explore curiosity-driven learning, multi-agent systems, and the future of general intelligence. This conversation is essential for anyone interested in the philosophy of intelligence, building adaptive robots, and the long-term implications of AI.
EPISODE HIGHLIGHTS (46:20)
0:00 ➤ Introduction & Benjamin’s journey into robotics and AI
3:15 ➤ Why intelligence is always context-dependent
7:40 ➤ Agents that “learn how to learn”
12:05 ➤ Curiosity & intrinsic motivation in AI
17:20 ➤ Aligning human values with intelligent agents
23:10 ➤ Robotics: when intelligence meets the physical world
28:35 ➤ Multi-agent systems and coordination
34:00 ➤ AI in Africa: opportunities & challenges
39:15 ➤ Long-term visions for general intelligence
44:00 ➤ Advice for the next generation of AI researchers
46:00 ➤ Closing thoughts & wrap-up
KEY QUESTIONS ANSWERED
🤖 What does it mean for an AI system to “learn how to learn”?
🤖 Why is context so important when we talk about intelligence?
🤖 How can curiosity and intrinsic motivation be built into AI agents?
🤖 What are the challenges in aligning AI with human values?
🤖 What role will robotics and multi-agent systems play in AI’s future?
SUBSCRIBE to The AI Lyceum for more deep dives into AI, ethics, and the future of work.
CONNECT
Linktree → https://linktr.ee/TheAILyceum
Website → https://theailyceum.com
Instagram → https://instagram.com/TheAILyceum
LinkedIn Company Page → https://www.linkedin.com/company/108295902
Join the LinkedIn Community → https://www.linkedin.com/groups/13322112
20% OFF University of Oxford Executive Programmes → https://theailyceum.com
#ai #artificialintelligence #machinelearning #robotics #generativeai #futuretech #podcast