This is a truly remarkable piece, on many levels. The author struggled to write about her sister’s death, so she let artificial intelligence help her. In the first attempt, she writes nothing but the first sentence, and lets AI take it from there. With every attempt, she writes more before letting AI take over.

One day not too far into the future, we’ll look back to simpler times when humans hacked computers. By then, artificial intelligence will be hacking critical infrastructure, after that, artificial intelligence will hack artificial intelligence, and, if I’m guessing correctly, it’s artificial intelligence all the way down. «…and humans will be little more than collateral damage.» Read it now

Imagine a world where, for decades, everything—housing, education, food, clothing, etc.—became half as expensive every two years.» There are (a lot of) good reasons to be wary of a future powered by artificial intelligence (remember that Facebook piece from last week?). Every now and then, I’ll allow some techno-utopianism. Especially if it’s not about what artificial intelligence will and won’t do, but how it might change the entire fabric of society. So maybe all we need for a great future are AI, and taxes?

Artificial Intelligence is everywhere — or so we’re told. This flowchart helps you tell apart if something is really AI or…just pretending to be smart. Have a look. (If you’d like to test your eyesight, open it on your smartphone. Otherwise, I recommend a larger screen.)

In recent weeks, an artificial intelligence program named GPT-3 has wowed people. It’s arguably the most powerful and smart language generator ever produced. And it inevitably sparked a recurring discussion: While AI is good at specific tasks — will it ever be capable of true intelligence? That’s a very human-centered way to think about it. Why not turn things around for once, and let an artificial intelligence program argue whether or not humans are capable of true intelligence? This is exactly what you’re about to read. GPT-3 pulles no punches.

Somehow, computers outsmarting humans in games tend to get way more attention than in areas in which the consequences will be a lot more far-reaching. Take medicine. Algorithms are already beating humans’ accuracy in analysing brain scans or detecting skin cancer. This New Yorker piece offers a deep dive on how it works and what it means. (Plus, and that alone is worth the click: the definitive illustration of the mind-body-problem)