🤖 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 – TIME 100 AI 2025 honouree, 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?

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#ai #artificialintelligence #machinelearning #robotics #generativeai #futuretech #podcast

🌳 How Can AI Be Made More Sustainable?

"By 2030, we will be using 2x the energy we use right now.”

In this episode, Samraj Matharu speaks with Robert Keus, founder of GreenPT, to explore the vital intersection of AI and environmental sustainability.

Robert explains how GreenPT is creating a privacy-friendly, energy-efficient AI ecosystem – from improving data centre efficiency to educating users on more sustainable ways to interact with AI.

This conversation is essential for anyone interested in the environmental impact of AI, the future of green technology, and how we can collectively reduce AI’s carbon footprint.

Episode Highlights

0:00 ➤ Introducing GreenPT: sustainable & privacy-friendly AI

2:10 ➤ AI’s environmental footprint & supply chain

5:05 ➤ Sustainable data centres & renewable energy

7:40 ➤ Cooling AI servers: water reuse & efficiency

10:15 ➤ Why standardised sustainability metrics matter

13:05 ➤ CPU vs GPU: why GPUs consume more energy

15:10 ➤ Nvidia and the future of efficient chips

18:00 ➤ Locating data centres strategically for sustainability

20:15 ➤ The AI landscape in 2050: a greener future

23:05 ➤ Question for the audience: have you ever thought about sustainability and AI?

26:00 ➤ Everyday user behaviour that makes AI greener

29:00 ➤ Prompt Zero: efficient prompt engineering for lower energy use

32:39 ➤ Closing thoughts & wrap-up

Key Questions Answered

• What is GreenPT’s mission in making AI sustainable and privacy-friendly?
• How do sustainable data centres work, and why are they so important?
• What’s the difference between CPUs and GPUs, and why are GPUs more energy-hungry?
• How can user behaviour and prompt design help cut AI’s energy use?
• What does the future of AI sustainability look like, and what role will major tech companies play?

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🧠 Is AI Super-Intelligent — and when will it become super-intelligent?

“𝗪𝗲 𝗼𝘃𝗲𝗿𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲 𝘁𝗵𝗲 𝘀𝗵𝗼𝗿𝘁-𝘁𝗲𝗿𝗺 𝗶𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗮𝗻𝗱 𝘂𝗻𝗱𝗲𝗿𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲 𝗶𝘁𝘀 𝗹𝗼𝗻𝗴-𝘁𝗲𝗿𝗺 𝗶𝗺𝗽𝗮𝗰𝘁. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘁𝗮𝗸𝗲𝘀 𝗹𝗼𝗻𝗴𝗲𝗿 𝘁𝗼 𝗴𝗲𝘁 𝗲𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝘁𝗵𝗮𝗻 𝘄𝗲 𝘁𝗵𝗶𝗻𝗸, 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗵𝘂𝗺𝗮𝗻𝘀 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲 𝗶𝗻𝗲𝗿𝘁𝗶𝗮 𝘁𝗼 𝘁𝗵𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀.”

In this episode of The AI Lyceum Podcast, Samraj Matharu speaks with Calum Chace — Oxford-educated philosopher, best-selling AI author, global keynote speaker, and co-founder of Conscium — to explore the most profound questions about AI, consciousness, and the future of humanity.

Calum shares a unique perspective on AI’s extraordinary promise and its deepest risks. From neuromorphic computing to the ethics of “mind crime,” this conversation is essential for anyone curious about superintelligence, AI ethics, and how society can prepare for the AI revolution.

🔥 Featured in this episode

0:00 ➤ The journey from philosophy to AI

2:45 ➤ The crucial difference between intelligence vs. consciousness

6:10 ➤ Why “mind crime” is a serious ethical challenge for future AI

10:30 ➤ How neuromorphic computing could slash AI’s energy use

15:50 ➤ The “Four C’s” of superintelligence

21:20 ➤ Merging with machines: is it humanity’s best path forward?

26:00 ➤ Urgent short-term risks: disinformation, deepfakes, privacy

30:15 ➤ Responsible AI adoption for CEOs and business leaders

35:40 ➤ Reshaping the workforce: redeploying talent in the age of automation

40:00 ➤ The rise of AI agents and self-driving vehicles

💡 Questions we answer

• What first drew Calum from journalism into AI?
• Why does detecting AI consciousness matter — and what does “mind crime” mean?
• How can businesses adopt AI responsibly without falling for hype?
• Will AI agents and self-driving cars reshape our daily lives?

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In this episode of The AI Lyceum Podcast, Samraj Matharu speaks with Peter Morgan — Head Tutor on AI executive programmes at the University of Oxford and founder of Deep Learning Partnership — to tackle one of today’s biggest questions: Is AI conscious?

❓ Questions we answer in this episode:

• What’s the difference between everyday AI and Generative AI like ChatGPT?
• Why did ChatGPT explode in popularity so quickly?
• Could AI ever become truly intelligent or self-aware?
• What guardrails and safety measures are needed to keep AI under control?
• How do AI systems affect the planet through energy use and “AI supply chains”?
• What does the future hold — could AI cure diseases, extend life, or even reshape humanity?

Peter also shares his personal journey — from cloud computing architect to leading Oxford tutor — and gives an insider’s view of how AI is being taught, tested, and challenged at the highest level.

If you’ve ever wondered whether AI can really think, this episode will give you the insights you need.

#ai #openai #chatgpt