a cybernetic machine can nail the task and completely miss the job. coding makes this very very easy to see because the tasks are so legible (and verifiable!): write the function, migrate the API, fix the tests.
what you did if you were really successful as a PM is you got promoted into being a director and then all of a sudden it was like don't be hands-on anymore. Your goal goal is just to coach and guide. And so, we took all of our A players and then promoted them out of doing things.
It's not always pleasant. It's not a pat you on the head and you're going to be fine. It's a It's a don't like no, you're screwing this up. Go try this thing. Tell me how that works. Oh, you didn't try the thing. Oh, you don't want to work on this? Okay, we're done. Quite uncompromising. uh I say coaches are are there to identify and induce productive discomfort
When you lose a game now as opposed to surfacing your blunders and your like horrible stuff that you did, we flip it on its head. And so we show you your brilliant moves, your best moves. And we have coach say something encouraging. You know, losing just part of learning like keep it up, that type of thing. That change alone was pretty dramatic for us. It grew game reviews by 25%, subscriptions by 20%
The dating app does not make money from you finding a life partner—it needs you to keep looking, so the app provider can hold on to you as a recurring customer. These companies actually get rewarded by delivering the opposite of what they promise.
Science journalist Jacob Ward warns about a future in which AI technology forms a tight cybernetic feedback loop with the biases ingrained into the human brain, pushing our day-to-day existence in frightening directions. It's sort of like a version of The Terminator in which Danny Kahneman plays a starring role. As longtime readers and listeners of mine know, a big theme in my techno-criticism is the under-appreciated degree to which technologies exert powerful, unintended consequences on our personhood and culture, so Ward's warning hits a sweet spot with me.
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