Scams, Schemes, Ruthless Cons: The Untold Story of How Jeffrey Epstein Got Rich

“Why did you do it?” Tennenbaum stammered.

Without an impressive degree or two, Epstein said, “I knew nobody would give me a chance.”

This resonated with Tennenbaum. He had benefited from his own share of second chances over the years. And so he agreed to give Epstein one as well.

It was perhaps the first example of Epstein getting caught cheating — and then avoiding punishment thanks to his uncanny ability to take advantage of those in positions of power. This would become a lifelong pattern, one that largely explains Epstein’s remarkable success at amassing wealth and, eventually, orchestrating a vast sex-trafficking operation.

→ The New York Times

Google’s ‘TPU’ chip puts OpenAI on alert and shakes Nvidia investors

The origins of Google’s TPU date back to an internal presentation in 2013 by Jeff Dean, Google’s long-serving chief scientist, following a breakthrough in using deep neural networks to improve its speech recognition systems. 

“The first slide was: Good news! Machine learning finally works,” said Jonathan Ross, a Google hardware engineer at the time. “Slide number two said: “Bad news, we can’t afford it.”

Dean calculated that if Google’s hundreds of millions of consumers used voice search for just three minutes a day, the company would have to double its data-centre footprint just to serve that function — at a cost of tens of billions of dollars. 

→ Financial Times

40 Years Later: Sade, “Promise”

But then, wrapped around the constant hum of this existing tension, is an album that isn’t necessarily about love, or even about surrender, but about giving your heart over, repeatedly, and enduring the failures that come with the exchange.

• • •

Time has stopped, and the world where loss has taken on a new and different shape has to begin. The song ends on a fade-out, a repetition that grows smaller, and smaller, and then gone. This revelation, too, isn’t for you, even if you need to hear it. Even if you need the reminder that it’s still worth running after the possibility of love. It’s still worth imagining that someone could love you. They may love you and later leave you. They may love you and then die, or you may die. You may hold their hands in a gray and unromantic hospital room, and then they’ll be gone. But at least, for a little while, you had hands for reaching, and hands that reached back.

→ Longreads

The Thinking Game

DeepMind’s journey chronicles the chase for AGI, the new fire destined to reshape civilization. From the digital sandboxes of Atari and the ancient silence of Go, its self-taught learning machines rose, proving that true general intelligence could be birthed from scratch.

As the AGI “boulder accelerates down the hill,” the film is an urgent call: the thinking game is won, but the moral stewardship of this boundless new power has just begun.

→ YouTube

Google’s AI Image Generator: No One’s Ready For This

Before / After Google’s Magic Editor

We briefly lived in an era in which the photograph was a shortcut to reality, to knowing things, to having a smoking gun. It was an extraordinarily useful tool for navigating the world around us. We are now leaping headfirst into a future in which reality is simply less knowable. The lost Library of Alexandria could have fit onto the microSD card in my Nintendo Switch, and yet the cutting edge of technology is a handheld telephone that spews lies as a fun little bonus feature. 

We are fucked.

→ The Verge