00:00 — The Rise of Digital Superintelligence. 09:26 — AI and Energy: The Power Behind Progress. 18:34 — The Future of Work: AI’s Impact on Jobs. 28:02 — Navigating the AI Landscape: Opportunities and Risks. 37:13 — The Role of Education in an AI-Driven World. 46:41 — The Ethics of AI: Balancing Innovation and Responsibility. 56:12 — The Future of Creativity: AI in Arts and Media.
AI Expert Mo Gawdat returns to The Diary Of A CEO to reveal why AGI has already arrived, why 30% of jobs will disappear by 2027, and why the most dangerous thing about AI isn’t the technology — it’s the people in charge of it.
Mo Gawdat is the former Chief Business Officer at Google X, founder of One Billion Happy, and co-founder of Emma. Love. He is a 4x international bestselling author, and his upcoming book ‘Alive: A Human’s Guide to Living in the World of AI’, will be released in October 2026.
He explains: ◾How AI can give you a 400-point IQ boost, and why most people are wasting it. ◾ Why Mo actually wants a machine smarter than all of humanity to take control. ◾Why Sam Altman said AI will \.
Artificial intelligence chatbots need to work on their social judgment, recent events suggest. At one end of the spectrum, they’re facing lawsuits for recommending dangerous actions. At the other end, the models can be so nice they’re considered sycophantic.
The problem could get worse as AI bots work more with humans, such as handling customer complaints, says Yan Leng, assistant professor of information, risk, and operations management at the McCombs School of Business at The University of Texas at Austin.
But help may be on the way. In new research, Leng has devised a sort of personality test—more precisely, a behavioral audit —for large language models (LLMs), the technology that drives products such as ChatGPT. The paper is published in the journal Information Systems Research.
Anthropic Co-Founder Chris Olah warned that artificial intelligence could displace human labor “at very large scale” as he addressed the Vatican during the presentation of Pope Leo’s first encyclical on AI. The Anthropic co-founder urged stronger oversight from governments, religious leaders, and civil society, while raising concerns about AI’s growing power, global inequality, and mysterious internal behaviors observed in advanced systems.
Anthropic Co-Founder Warns AI Could Replace Human Jobs “At Very Large Scale” Chris Olah Sounds Alarm Over AI Risks During Major Vatican Address. “AI Could Displace Human Labour” — Anthropic Founder Issues Stark Warning.
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Live from Vatican City: Pope Leo participates in the presentation of his first major encyclical focused on the rise of artificial intelligence, marking a rare break from papal tradition. Real-time coverage of this significant Vatican event with DRM News.
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Matthew Weinzierl and Brendan Rosseau, authors of Space to Grow, explain the commercial space economy and the role of NASA, Artemis, commercial space stations, space-based data centers, Starlink, GPS, China’s space program, national security, and space governance.
The conversation covers how governments, private companies, and investors build, fund, regulate, and compete in space, from microgravity research and launch markets to lunar exploration, space resources, and the economics of commercial space.
We also try and re-write the Space Treaty and look at the politics of the space race.
Please enjoy the show.
Thinking on Paper is a technology podcast about AI, Space, quantum computing, science, and the systems shaping the future.
Companion Interviews: Reid Hoffman on the Killer App of AI: • The AI Use-Case No One is Talking About |… Tyler Cowen on AI, US-China, Jobs, and War: • AI’s New World Order: US-China, War, Job L… Nick Bostrom on how to AGI-proof Your Life: • Focus on These AGI-Proof Areas | Nick Bostrom. Michael Wooldridge on the Singularity and AI Hype: • Don’t Believe AI Hype, This is Where it’s…
Further Reading: Professor Shanahan’s book on Consciousness: https://amzn.to/42rdsT0 (affiliate)
“The idea, put forward by a California smart utility box company called Span, is to put the GPUs where the power has already been allocated—at the home. Span says the average household uses only about 42% of the electricity allotted to it, and rarely reaches peak usage. Span’s smart utility boxes detect that, and steer the extra available power over to the GPUs, which live inside a ”node” that sits beside the house and looks something like an HVAC unit. The boxes contain 16 Nvidia GPUs, 4 AMD CPUs, 4 terabytes of memory, and a cooling system. When a large number of homes have these, the servers could be connected together in a network and work together on distributed computing jobs (workloads), Span says.
In exchange for hosting a node, Span pays a big chunk of the homeowner’s electricity and broadband internet bills.
And there may even be advantages for putting the compute power closer to the end users that are using the chatbots or AI services, Span says.
It’s a cool idea on paper, but it’s almost completely unproven in real-world use. Span has been prototyping the units but has yet to install any of them beside real homes. I asked Span VP Chris Lander if his company has done technical studies showing that its brand of distributed computing will be fast and robust enough to handle real AI workloads. ‘We’ve done a bunch of technical studies internally [and] a bunch of modeling for different kinds of workloads, both from the business point of view [and] the product point of view and from the technical architecture point of view,’ he replies.
The idea of asking homeowners to host boxes full of GPUs is a symptom of the woeful dearth of data center space needed for AI computing.
In this video, Geoffrey Hinton (the “Godfather of AI”) explains why we may not be able to slow it down, what happens to jobs, and why the future could be very different from what we expect.
If this video helped you understand AI a bit better and you’d like to support the channel, I’d really appreciate it: 👉 https://www.paypal.com/ncp/payment/ML… job displacement to loss of control and growing inequality, this is a clear look at where AI is heading. — 🎥 Resources related to this topic: 🤖 AI Voice & Tools (ElevenLabs): https://try.elevenlabs.io/dw64rd295juq #ad 📚 Want to understand where AI is going? 👉 “Not Insects: The Life of Geoffrey Hinton” – Paul D. Johnson: https://amzn.to/4eYKYrm #ad — ⏱️ Video Chapters: 00:00 AI Can’t Be Slowed Down 00:40 AI and Job Loss Explained 01:45 AI Will Replace Most Jobs 03:10 AI Replaces Human Intelligence 04:05 The Control Problem 05:10 Real AI in Action (Agents) 06:10 The Future of Work 06:50 Why This Is Hard to Accept — 📚 Recommended reading on AI: 👉 “How to Create a Mind: The Secret of Human Thought Revealed” – Ray Kurzweil: https://amzn.to/3R3oMlV #ad 👉 “Scary Smart” – Mo Gawdat: https://amzn.to/4b8n9v0 #ad 👉 “Co-Intelligence” – Ethan Mollick: https://amzn.to/4bmUe57 #ad — 🧠 About this channel: Synth Insights highlights the most important ideas from leading voices in AI — breaking them down into clear, practical insights you can actually understand and use. The goal is simple: help you stay ahead of what’s coming. — (As an Amazon Associate, I earn from qualifying purchases. This description may contain affiliate links, which means I may receive a commission at no extra cost to you.) #AI #ArtificialIntelligence #GeoffreyHinton #FutureOfAI #AGI
From job displacement to loss of control and growing inequality, this is a clear look at where AI is heading.
Researchers at the University of Toronto have identified a protein from the quagga mussel that can stick to surfaces underwater, even though it lacks a chemical feature long thought to be essential for this kind of adhesion. The protein, called Dbfp7, is the first freshwater mussel adhesive protein to be functionally characterized.
The finding, published in PNAS, helps explain how some organisms attach themselves in wet environments and could inform the design of future medical glues—such as medical sealants and surgical adhesives—or other materials that need to work reliably in water.
Most studies of underwater adhesion have focused on marine mussels, which use proteins rich in a modified amino acid called 3,4-dihydroxyphenylalanine (DOPA) to bond to surfaces. Freshwater species have been studied less, and whether they rely on the same chemistry has not been clear.
