Toggle light / dark theme

Tech Whistleblower: You Only Have 3 Years Left Before It Hits! — Mo Gawdat

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 \.

John Nash (1928−2015)

John Nash was born on June 13, 1928, in Bluefield, West Virginia, a former coal town nestled deep in the Appalachian Mountains. As a young boy, Nash was solitary, bookish, and introverted. His father, John Sr., was a quiet engineer with an incisive mind. His mother, Virginia, also intelligent, was a former teacher who had large dreams for her son, pushing him to read at four, learn Latin, and skip a grade at school.

The first hint of John Nash’s math talent came in fourth grade, when a teacher told Virginia that the boy couldn’t do the math. Virginia laughed, well aware that her son was going down his own path to solve the simple problems. In high school, John solved his teachers’ clunky proofs in just a few elegant steps. He was one of ten nationally awarded winners of the George Westinghose Award, which provided him with a full scholarship to the Carnegie Institute of Technology. He hopped from engineering to chemistry before discovering his passion: mathematics.

He was accepted into Princeton University, which at the time was to mathematicians what Detroit was, and still is, to cars. Nash first wowed his peers with an elegantly playable board game, which his peers dubbed “Nash,” but later reached the market as Hex. He then absorbed himself in one of the sexiest math fields of the day, game theory, which described strategies in competition, whether in card games or business. His deceptively simple doctoral thesis would later re-orient the field of economics, although no one, not even Nash, predicted its potential.

Anthropic CEO Dario Amodei Talks Scaling Laws, AI Arms Races, and Radical Abundance

This video features a conversation with Dario Amadei, CEO of Anthropic, discussing the intersection of AI and economics. Viewers will gain insights into how technological innovation impacts business processes and models, the future landscape of AI companies, and the potential societal ramifications of advancements in AI technology. The main theme emphasizes the evolving dynamics between innovation and established business strategies in the AI sector, as well as the importance of understanding how these changes affect both markets and society.

Misbehaving chatbots could be kept in check with personality tests

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.

Ann Cavoukian: We have to protect privacy globally or we protect it nowhere!

I recorded this interview 13 years ago.

It should feel dated by now. It doesn’t. It feels like a prophecy.

Back in 2013, Dr. Ann Cavoukian sat down with me as the Information and Privacy Commissioner of Ontario and the mind behind Privacy by Design. She told me privacy was not dead. She told me security and freedom were not a trade-off. She told me metadata reveals more about you than the content ever could.

Then she said something I have never been able to shake:

“We have to protect privacy globally, or we protect it nowhere.”

Think about where we are now. Surveillance is the business model. Your data trains systems you will never see. The “nothing to hide” crowd got louder, and the borders she warned about got thinner. She saw all of it coming.

GreyVibe hackers use ChatGPT, Gemini to power cyberattacks

A likely Russian threat group tracked as GreyVibe has been using AI-generated lures and a rich set of custom malware tools to target entities in the military, government, civilian, and business sectors.

The cyberespionage campaign has been active since at least August 2025 and appears to align with Russian state interests, although researchers cannot confidently classify it as a nation-state operation.

Cybersecurity company WithSecure discovered the activity in January this year and determined that its focus is on Ukrainian or Ukraine-related organizations.

Stelarc on Transhumanism: We Are in a Time of Circulating Flesh!

“We are in a time of circulating flesh.”

Stelarc said that to me 13 years ago. In 2026, it reads less like art criticism and more like a status report.

He had grown an ear on his arm. He had hung himself from hooks 25 times. He had let strangers on the internet choreograph his muscles through electrical stimulation, his body remote-controlled across continents.

Most people called it spectacle. I think it was inquiry.

Because long before deepfakes, before voice cloning, before AI agents wearing our faces, was already asking the question we now cannot avoid:

Where does the body end and the network begin?

Behold the neuron, a complicated cell with a simple mission

Neurons, the uber-connected nerve cells that act as a main switchboard for the brain, are central to some incredibly complicated processes. They make it possible to think, walk, speak, and breathe. They even have built-in backup batteries to use in emergencies.

Yet the way individual neurons go about their business is surprisingly simple, according to a new Yale study.

How simple? Most of them operate entirely like tiny on-off switches.

The Commoditization of Intelligence: Why AI Aggregators Will Beat Foundation Models

Everyone is currently watching the major tech giants throw billions of dollars at the AI arms race, cheering for whichever foundation model happens to top the leaderboards this week.

It is an incredible spectacle to watch unfold, but focusing too closely on the tech itself might mean we are missing the actual business revolution happening right under our noses.

We have seen this exact economic shift before. The biggest winners of the internet era weren’t the ones who built the physical infrastructure or supplied the goods; they were the platforms that organized the supply and owned the user relationship. The same economic laws are now coming for artificial intelligence, actively turning “intelligence” into a basic, interchangeable utility.

The real value moving forward is no longer in the models themselves, but in the seamless interfaces that aggregate them. If you want to protect your business from vendor lock-in and position your team for ultimate flexibility, it is time to rethink your approach.

Read my full blog post to dive into why the future of AI belongs to the aggregators, and how your business can strategically capitalize on this shift.


We spend an enormous amount of time obsessing over the titans of the AI arms race. Every single week seems to bring a breathless new headline about OpenAI, Google, Anthropic, or Meta releasing a foundation model that edges out the competition on some obscure benchmark test. We find ourselves endlessly arguing over parameter counts, context windows, and raw reasoning capabilities, captivated by a multi-billion-dollar war unfolding in real-time.

/* */