On the Edge: The Art of Risking Everything

The Connections That Turned a Precocious Teen Into the Fallen ‘Nostradamus of AI’

A 24-year-old investor hailed as a visionary attracted billions—before turning into Wall Street’s latest cautionary tale.

Guy Who Sucks At Being A Person Sees Huge Potential In AI

SAN MATEO, CA—After spending the past three decades of his life being totally unable and unwilling to engage in any meaningful way with the world around him, James Parker, a local guy who sucks at being a person, told reporters Thursday that he saw huge potential in AI. “While it’s still in its early phase, artificial intelligence will one day accomplish things that humans could have never even dreamed of doing,” said Parker, who, by all accounts, has never stretched himself to do something he found difficult; has never created anything truly original; and, deep down, has absolutely zero understanding of what makes things good, enjoyable, or rewarding. “Just yesterday, I asked an AI program to write an entire sci-fi novel for me, and [as someone who will die an empty shell of a man who wasted his life doing nothing for the world and, perhaps, should never have been born] I was super impressed. Soon, humans won’t need to do anything at all! Awesome.” At press time, Parker added that as someone whose contributions to society would almost certainly be measured cumulatively as a net loss, he also saw great potential in the future of the metaverse.

Is Big Tech's AI Gamble Starting to Look Riskier? - Slashdot

The Washington Post looks at giant tech companies "feeding every available dollar into the cash-incinerating maw of AI machines." They warn "Tech superstars that once had oodles of cash left over at the end of each year are now flipping into the red..." [While optimists expect] huge corporate p...

Up the Stack: How AI’s Escape From the Commodity Trap Risks Enterprise Lock-in

Critics and boosters are both looking in the wrong place

Episode 5: Metaphors for AI, with Shannon Vallor

This week, Adam talks with Shannon Vallor, a philosopher of AI, about the metaphors we use to talk about AI and ourselves. They also dunk on libertarians and San Francisco billboards, and consider what kind of hope we can have for the future of technology.Messages:  • Support the show at patreon.com/DreamingAgainstTheMachine  • Follow us on Bluesky and Instagram  • Subscribe to the show wherever you get your podcasts!  • Check out other great podcasts from Multitude like Wow if TrueAbout the show:Dreaming Against the Machine is a podcast about envisioning a realistic and hopeful future. Each week, the show’s host, journalist and astrophysicist Dr. Adam Becker, will have an earnest (and entertaining!) conversation with a guest about possible futures, seen through the lenses of history, science, and culture. In a world where tech oligarchs and their power fantasies are driving visions of the future, Dreaming Against the Machine aims to take back the terms of the public conversation about what our world can and should be.

British mathematician hands OpenClaw agent a credit card

: Professor Fry's AI experiment shows light and dark sides of agentic tech

Why the man behind 'The Hater's Guide to the AI Bubble' thinks Wall Street's hottest trade will go bust

March 2026 Global Dialogues Survey | Windfall Trust

Here’s what the world had to say about the AI economy

AI Researchers On AI Risk

I first became interested in AI risk back around 2007. At the time, most people’s response to the topic was “Haha, come back when anyone believes this besides random Internet crackpots.…

The State Of The $1.7 Trillion AI Bubble: The End Of Thinking

Writing is thinking and thinking is understanding. Like understanding that the AI bubble has been around for a long time and that it's better to call it the data bubble.

Premium: What If...We're In An AI Bubble? (Part 1)

Every day I read some sort of wrongheaded extrapolation about the future of AI — that today’s models are somehow indicative of AGI creating a “permanent underclass” of people that stops people from building software companies, or really doing any kind of job on the computer: Hyperbolic? Perhaps. But even

Why We Fear AI: On the Interpretation of Nightmares — Common Notions Press

Industry insiders Hagen Blix and Ingeborg Glimmer dive into the dark, twisted world of AI to demystify the many nightmares we have about it. They combine expertise in cognitive science and machine learning with political and economic analyses to cut through the hype and technobabble to show how fear