“Generative AI is still a bit like an intoxicated graduate.” — Daniel Hulme

What happens when intelligence stops following instructions — and starts adapting?

In this episode of The AI Lyceum, Samraj speaks with Daniel Hulme, Chief AI Officer at WPP and Founder of Satalia (acquired by WPP), about adaptive intelligence, neuromorphic computing, sustainability, and Protopia — a world that gets a little better every day.

Daniel holds two PhDs — one in emergent intelligence within virtual agents, another decoding how bumblebees think and adapt. His journey spans academia, entrepreneurship, and the philosophy of consciousness.

EPISODE HIGHLIGHTS

0:00 ➤ Intro / Guest Welcome

3:40 ➤ Daniel’s journey: UCL → Satalia → WPP CAIO

6:15 ➤ What is AI? Goal-directed adaptive behaviour

8:21 ➤ Intelligence vs Consciousness

10:22 ➤ The seven “STEEPLE” singularities reshaping humanity

12:19 ➤ Ethics, intent, and “mind crime”

14:34 ➤ Conscious AI & the duty of care to machines

16:43 ➤ “If you could redo your PhD, what and why?”

17:00 ➤ Bumblebee brains, VR illusions & emergent agents

19:59 ➤ The P vs NP problem explained

21:54 ➤ Sustainability: smarter algorithms over raw energy

24:57 ➤ Neuromorphic computing & why Daniel’s betting on China

26:58 ➤ “John read a letter to Mary”: transformer context

30:30 ➤ GenAI use cases: content, perception & AI agents

33:53 ➤ The internet is poisoning AI — and AI is poisoning the internet

36:46 ➤ What Socrates would think of AI today

39:26 ➤ Ethos, Pathos, Logos — the Greek lens on truth

41:23 ➤ Philosophy, resilience & the ancient Lyceum

43:00 ➤ Protopia and the future of intelligence

MEMORABLE QUOTES

“Generative AI is still a bit like an intoxicated graduate.”

“We’ve been chasing power when we should be chasing purpose.”

KEY IDEAS DISCUSSED

➤ Why adaptation, not computation, defines real intelligence

➤ How neuromorphic computing could make AI far more efficient

➤ Why China is leading the next phase of innovation

➤ The ethics of “mind crime” and whether conscious AI deserves rights

➤ Why sustainability in AI is about smarter algorithms, not more energy

➤ How AI agents on phones could act as value-aligned personal shoppers

➤ Why humans may one day become immortal as consciousness merges with tech

➤ What the ancient Greeks would think of AI — and why The Lyceum still matters

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Hosted by Samraj Matharu — Certified AI Ethicist (Oxford) | Visiting Lecturer (Durham)

600+ members from OpenAI, DeepMind, Oxford, Google & more.

#AI #ConsciousAI #Protopia #Philosophy #Ethics #WPP #FutureOfIntelligence #Sustainability #NeuromorphicComputing #Agents #Immortality #China #AIethics #AncientGreece #TheLyceum

“Sustainable AI means using AI without destroying the planet.” – Pascal Joly

What if the next great challenge for AI isn’t bias or privacy — but energy?

In this episode of The AI Lyceum™, Samraj Matharu speaks with Pascal Joly, a Silicon Valley product leader turned sustainability advocate, to unpack the true cost of intelligence: the carbon, water, and energy footprint behind AI.

Pascal combines decades in cloud and DevOps with environmental science, helping organisations cut emissions and build greener systems — including AI Wattch, an open-source tool he built to track LLM emissions in real time with Antarctica, a climate-tech firm. Together, they explore how to balance innovation with planetary limits — and why sustainability may be AI’s defining test.

From the greenwashing vs. greenhushing debate to tools like Electricity Maps, AI Wattch, and the AI Energy Score by Hugging Face.

EPISODE HIGHLIGHTS

0:00 ➤ Introducing Pascal

3:15 ➤ What “Sustainable AI” Really Means

7:00 ➤ How AI Creates CO₂ and Water Impact

10:40 ➤ The Data Centre Energy Race

14:10 ➤ Green IT vs. GreenOps Explained

17:00 ➤ What Consumers Can Actually Do

18:30 ➤ Tools: Electricity Maps, AI Watch, CodeCarbon, AI Energy Score

22:45 ➤ Using AI for Sustainability (Climate Tech Examples)

26:00 ➤ Training vs. Inference – The True Energy Split

30:10 ➤ Making AI Development Sustainable

37:00 ➤ Greenwashing, Greenhushing & Corporate Truths

43:00 ➤ Recycling Heat and Water in Data Centres

45:30 ➤ Small Language Models & Embedded AI

49:00 ➤ The “Swiss Army Knife vs. Chef’s Knife” Analogy

52:00 ➤ Why Pascal Is Cautiously Optimistic

54:00 ➤ Audience Question: How Concerned Are You About AI’s Footprint?

KEY QUESTIONS ANSWERED

➤ What does “sustainable AI” really mean in practice?

➤ How do AI models create carbon and water emissions?

➤ Which tools can measure AI’s energy footprint in real time?

➤ What’s the difference between greenwashing and greenhushing?

➤ Why are small language models (SLMs) key to efficiency?

➤ Can AI itself help solve the climate crisis — or is that wishful thinking?

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Hosted by Samraj Matharu — Certified AI Ethicist (Oxford) | Visiting Lecturer (Durham) 400+ members from OpenAI, DeepMind, Oxford, Google, and more.

#AI #SustainableAI #GreenIT #GreenOps #EthicalAI #ClimateTech #AIWatch #ElectricityMaps #SmallLanguageModels #HuggingFace #DataCenters #ResponsibleAI #MachineLearning #AIResearch #AITransparency #EnergyEfficiency #GreenComputing #FutureOfAI #TheAILyceum #Podcast

💬 “We must learn not just faster, but better — unlearning the old while emotionally preparing for the new.” — David Wood

What can the smartphone revolution teach us about the AI era?

David Wood — futurist, author of 12 books, and co-founder of Symbian, the operating system that powered over half the world’s smartphones before iOS and Android — joins Samraj Matharu to explore how humanity can steer the rise of AI responsibly.

As Chair of London Futurists (9,000+ members) and one of T3 Magazine’s “100 Most Influential People in Technology,” David draws on decades of experience at the intersection of hardware, software, and ethics to discuss how AI could lead us toward what he calls “sustainable super-abundance.”

EPISODE HIGHLIGHTS (MM:SS)

0:00 ➤ Intro & Guest Welcome

2:40 ➤ From Symbian to AI: Lessons from the Smartphone Revolution

6:50 ➤ Will We Still Need Phones? The Next Interface Shift

10:10 ➤ How Companies Can Adapt to Exponential Change

13:00 ➤ Collaboration Before Competition: Wisdom from Symbian

14:20 ➤ The Ethics of AI & Existential Risk

17:30 ➤ From Evolution to Super-Abundance: AI’s Transformative Potential

20:50 ➤ Nanotech, Biotech & Cognitech – The Three Frontiers

24:40 ➤ Virtual Worlds, Learning & The Future of Consciousness

30:10 ➤ Global Governance & Avoiding an AI “Dark Age”

50:10 ➤ What Success Looks Like in 2040

52:30 ➤ Should Machines Become Conscious?

54:10 ➤ Audience Question — “What’s holding you back from being more morally ambitious?”

KEY QUESTIONS ANSWERED

➤ What lessons from the smartphone era apply to AI today?

➤ How can organisations adapt to exponential change and avoid the innovator’s dilemma?

➤ What does “sustainable super-abundance” mean — and how do we reach it?

➤ How can we govern AI globally and ethically?

➤ Should AI ever become conscious?

SUBSCRIBE to The AI Lyceum™ — exploring the ethical, business, and technical sides of intelligence.

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🙏 What does it take to design AI that earns - and deserves - our trust?

“Prompt engineering is a bug” - Claudio Pinhanez

In this episode, Samraj Matharu speaks with Claudio Pinhanez, Principal Scientist at IBM Research Brazil, about building AI systems that are transparent, consistent, and human-centred. With 40 years of experience across computer science and design, Claudio shares lessons from the early days of AI, explores how language models shape user trust, and reflects on why humility and honesty should guide the next era of intelligent systems.

A grounded and forward-looking discussion on how to make AI worthy of human confidence.

EPISODE HIGHLIGHTS

0:00 ➤ Introducing Claudio Pinhanez (IBM Research Brazil, HCI + NLP)

3:00 ➤ Lessons from 40 years in AI — from expert systems to LLMs

10:30 ➤ Designing for transparency and trust

15:40 ➤ “Prompt engineering is a bug” — improving consistency

20:10 ➤ Human-in-the-loop systems and responsible design

30:00 ➤ Platforms, adoption, and the real-world impact of AI

40:00 ➤ Biological futures: new ways to think about intelligence

47:00 ➤ Closing thoughts & audience question

KEY QUESTIONS ANSWERED

➤ What makes AI transparent and trustworthy?

➤ Why does interface design matter as much as model design?

➤ How can humans and machines collaborate effectively?

➤ What can we learn from decades of AI evolution?

➤ Do you think this technology should be used for any important decision in your life?

SUBSCRIBE to The AI Lyceum™ for more deep dives into AI, ethics, and the future of work.

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🧠 How Can Marketers Use AI — Without Losing the Human Touch?

“What I would like to ask for our industry is to stop asking what AI can do and start asking what we can do with AI.” — Antonis Kocheilas

In this episode, Samraj Matharu speaks with Antonis Kocheilas, Global Chief Transformation Officer of one of the world’s leading advertising agencies – Ogilvy – to explore how AI is reshaping creativity, strategy, and storytelling.

Antonis shares how marketing is entering a new era — where automation, data, and human intuition must coexist. Together they unpack how brands can apply AI responsibly, preserve emotional storytelling, and lead in a world run by intelligent systems.

This conversation is essential for anyone shaping the future of marketing, creativity, or leadership in the age of AI.

EPISODE HIGHLIGHTS

0:00 ➤ Introducing Antonis Kocheilas

2:10 ➤ What AI really means for marketing today

7:30 ➤ Human creativity vs machine efficiency

12:00 ➤ Adapting to AI tools and automation

17:10 ➤ Building brands with purpose in the age of algorithms

22:20 ➤ The marketer’s role in the next 10 years

30:40 ➤ Why storytelling will always matter

36:50 ➤ Balancing data, emotion and trust

43:20 ➤ Advice for future marketing leaders

49:10 ➤ Final suggestion from Antonis

KEY QUESTIONS ANSWERED

➤ How should marketers use AI intelligently — not just efficiently?

➤ What does AI mean for creativity and brand storytelling?

➤ How can leaders balance data with emotion and trust?

➤ What skills will define the next generation of marketers?

➤ How do we stay human in an algorithmic age?

SUBSCRIBE to The AI Lyceum™ for more deep dives into AI, ethics and the future of work.

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#ai #marketing #creativity #artificialintelligence #futureofwork #innovation #advertising #podcast

🤖 WHAT WOULD YOU WANT AN AI AGENT TO BUY FOR YOU?

In this episode of The AI Lyceum Podcast, Samraj Matharu speaks with James Bentley — Director of AI Strategy at Awin (ex-Adobe ML) — to unpack how autonomous agents, real-time search, and ledger-based attribution could reshape the commercial internet.

James shares lessons from two decades in digital advertising, from early ML forecasting at Adobe to today’s LLM-powered discovery. Together, we dive into agent marketplaces, SEO for LLMs, tokenised value exchange, ethics (EU AI Act), security (agent traps), and the sustainability costs of “thinking” models.

FEATURED IN THIS EPISODE

0:00 ➤ Introducing James

3:14 ➤ Paris AI engineer conference: why 2025 feels different

13:53 ➤ James’s background (Adobe → Awin) & role leading AI strategy

17:15 ➤ Virtual Agent Economies (DeepMind): what they are, why they matter

18:16 ➤ The new discovery stack: chat assistants vs classic search

20:32 ➤ How LLM usage is changing the ad-funded web

23:01 ➤ Real-time search as GenAI’s backbone (and why recency wins)

29:07 ➤ SEO for LLMs/AI overviews: signals, retrieval, and ranking layers

31:52 ➤ Ads inside chat: message-level bidding, brand representation

33:03 ➤ Agent Mode & chain-of-thought: reverse-engineering referral paths

33:55 ➤ Brand lift inside assistants: pre/post without traditional ads?

39:40 ➤ Ethics & competition: transparency, accountability, EU AI Act

52:50 ➤ Token economies & blockchains: verifiable attribution and reputation

58:00 ➤ Agent traps & cryptographic signing: securing agent workflows

1:02:02 ➤ Sustainability: data centres, energy limits, and cost controls

1:02:09 ➤ Audience Q: What would you want an AI agent to buy for you?

QUESTIONS ANSWERED ➤ How will agents transact value online — and who gets paid? ➤ What can brands do now to appear in AI answers (LLM-SEO)? ➤ Will assistants add new ad formats (and how would they measure lift)? ➤ How do tokens/ledgers fix today’s broken attribution? ➤ What are “agent traps” and how do we defend against them? ➤ Can AI grow while staying sustainable — and what should marketers track?

SUBSCRIBE to The AI Lyceum for more deep dives into AI, ethics, and the future of work.

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#AI #AgenticInternet #VirtualAgents #VirtualAgentEconomies #AIAdvertising #Attribution #TokenEconomy #Blockchain #DigitalIdentity #EUAIAct #AIEthics #LLMSEO #Search #GenerativeAI #Sustainability

🤖 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.

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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?

Subscribe to The AI Lyceum for more deep dives into AI, ethics, and the future of work.

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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?

📌 Subscribe to The AI Lyceum for more deep dives into AI, ethics, and the future of work.

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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