Recently, a client asked me the following: If I had to explain the AI industry in one go, what would you give me? This had to be explained in a high-level, very intuitive way for anyone who’s not quite as deep into AI as I am to follow.

In particular, answer the following:

1. What needs to be known across the entire value chain?
2. In this very dynamic industry, what is constant?
3. What bets is the industry making
4. What does the future hold?

In this piece, we’re doing just that. It’s my longest article ever, but I’ve genuinely never packed more information and insights into a single piece. Ever. It was a hustle (I honestly don’t know when I decided it was a good idea to put so much effort into something that can be purchased for $20/month, but I guess I really dislike doing things halfway). — Read More

Humanity, created by God in all its grandeur, is today facing a pivotal choice: either to construct a new Tower of Babel or to build the city in which God and humanity dwell together. Each generation inherits the task of shaping its own era, of guiding history to become a place where the dignity of every person is safeguarded, justice is promoted and fraternity is made possible. Yet every era also runs the risk of creating an inhumane and more unjust world. Whenever humanity is in danger of marring its true identity, we Christians lift our eyes to the Incarnate God, knowing that it is “only in the mystery of the Word made flesh that the mystery of humanity truly becomes clear.” [1] In Jesus Christ, this humanity in its grandeur becomes the Way, the Truth and the Life, opening the path for each of us to grow toward fullness. — Read More

#artificial-intelligence

The five papers that shape how every working AI engineer in 2026 thinks — what each one actually said, why it still matters, and what to read once you’ve read it.

… Five papers and one essay. Read them in this order, and the rest of the field becomes legible. —  Read More

Daniel Kokotajlo is the founder of the AI Futures Project and the lead author of the influential AI 2027 report: a detailed, narrative prediction of the next few years of AI development, culminating in the rise of superhuman agents capable of wresting control from humanity.

But AI 2027 wasn’t his first foray into long-form prediction. In August of 2021, Daniel wrote an essay called “What 2026 Looks Like.” This essay came out before the launch of ChatGPT, let alone the explosion of AI across the global economy. Now that it’s 2026, I thought it was time to evaluate Daniel’s predictions — and it brings me no joy to say that they are frighteningly accurate. — Read More

Today’s neural networks feel almost magical.
They write, see, reason, and talk to us like nothing before.

But all of this traces back to one extremely simple machine.

When this machine appeared in the late 1950s, it quietly changed how people thought about intelligence. — Read More

The only guide you’ll ever need to master AI and LLMs.

I’ve been wanting to make this for a while now, but the project’s been pushed constantly due to research deadlines.

But here you are: the one-stop guide to modern AI research. — Read More

New from Coca-Cola® Creations, look into the year 3000 with Coca-Cola® Y3000 – the first limited-edition Coke flavor from the future. Created to show us an optimistic vision of what’s to come, where humanity and technology are more connected than ever. For the first time, Coca-Cola® Y3000 was co-created with artificial intelligence to help bring the flavor of tomorrow to Coke fans. Taste the Future now. Coca-Cola® Y3000 will be available for a limited time only, so pick up a Coca-Cola® Y3000 and get a glimpse into the future world. ​ — Read More

Pumping the brakes on artificial intelligence could be the best thing we ever do for humanity.

“Computers need to be accountable to machines,” a top Microsoft executive told a roomful of reporters in Washington, DC, on February 10, three days after the company launched its new AI-powered Bing search engine.

Everyone laughed.

“Sorry! Computers need to be accountable to people!” he said, and then made sure to clarify, “That was not a Freudian slip.”

Slip or not, the laughter in the room betrayed a latent anxiety. Progress in artificial intelligence has been moving so unbelievably fast lately that the question is becoming unavoidable: How long until AI dominates our world to the point where we’re answering to it rather than it answering to us? Read More

Artificial intelligence is as revolutionary as mobile phones and the Internet.

In my lifetime, I’ve seen two demonstrations of technology that struck me as revolutionary.

The first time was in 1980, when I was introduced to a graphical user interface—the forerunner of every modern operating system, including Windows. I sat with the person who had shown me the demo, a brilliant programmer named Charles Simonyi, and we immediately started brainstorming about all the things we could do with such a user-friendly approach to computing. Charles eventually joined Microsoft, Windows became the backbone of Microsoft, and the thinking we did after that demo helped set the company’s agenda for the next 15 years.

The second big surprise came just last year. I’d been meeting with the team from OpenAI since 2016 and was impressed by their steady progress. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. Make it capable of answering questions that it hasn’t been specifically trained for. (I picked AP Bio because the test is more than a simple regurgitation of scientific facts—it asks you to think critically about biology.) If you can do that, I said, then you’ll have made a true breakthrough.

I thought the challenge would keep them busy for two or three years. They finished it in just a few months. Read More