Scoring internet points that can be converted into CV line items and promotion package paragraphs is vastly better than squandering it all for a quick dunk.
You can use AI as a shortcut to help you not have to think too much. And you can use AI to help you think more deeply and more rigorously. And both of those use cases have their place. But when it comes to your core job function, we primarily want the second one, right?
I've never liked Spotlight on macOS, and previously I used Alfred as a replacement. However, now I've discovered Raycast. Raycast is my primary mode of navigating through macOS, as I've bound the keyboard shortcut to
There is no perfect SAK, but the Compact is the best SAK. And this is not a "smartest Kardashian" scenario. Over the years I have genuinely loved carrying the Compact. Adding the pocket clip and the excellent PDW scales has made it one of my most frequently carried items.
But okay, they shouldn't actually be enacting these ideas. There is a queue of ideas and there's maybe an automated scientist that comes up with ideas based on all the archive papers and GitHub repos and it funnels ideas in or researchers can contribute ideas, but it's a single queue and there is workers that pull items and they try them out.
and I think most people experience it as like flat triangles and squares in a biology textbook where it's like you know there's an arrow between like this triangle and this triangle is just like doesn't make any conceptual sense and is like confusing and annoying
And I realized it was the first one on the list and I thought, huh, I wonder if people are just picking the first one. So then then we randomized the list so everyone saw a different order of the list and now all the items were picked equally
You can shortcut like hard feelings because now you can just watch TikTok instead of actually dealing with the very difficult emotion or tension that you had with a colleague or with your partner or with your children.
language models have world knowledge and can eloquently talk about products, but are unaware of our catalog. Also, their recommendations are generic and suffer from popularity bias.
Mongols produced nothing. They could produce felt to make their tents, but they were not craftsmen. And so they had to get these items from somewhere, and it was through raiding.
What we could we could train people by saying, "Here's the recognition prime decision model. Now, you know, follow this." And that would be useless. Because of uh telling people the strategy isn't going to buy them anything. The intuition part is a reflection of the patterns they've built up through experience. And so there's no shortcut for that.
Um but nobody has done research on the positive side of these heuristics. And so, I think that's a bias on the part of the decision bias researchers that they're only looking at the down arrow. How do these heuristics get us in trouble? And they're not looking at the strength of these heuristics.
When you don’t give your team the context for the work and just pass on tasks and work items to them, you make it clear that they are simply “doers” and your job is the job of “decider.”
The data are clear that humans are really bad at taking the time to do things that are well understood to incontrovertibly reduce the risk of rare but catastrophic events.
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