you want to get to a point where you know, your your machine, your org is self-sufficient enough that you know, you just need to occasionally tap the blimp, make sure that things are working. You can course correct if it's not, but that frees you up to then focus on the next important sets of problems that the org needs to, you know, tackle heads on.
what makes the GAWA theory such an interesting example is you have um literally this 100-year segment of like an idea that like flows through many different people's heads before it like settles into something that the math community like agrees is good.
It's more that for myself, the process of writing is the way how I figure things out. And figuring things out is really my goal here. So, I'm I'm trying to figure it out in my own heads, and for that I just have to write it myself.
Code and data is hard, but ideas is easy. Silicon Valley operates on the way that top employees get bought out by other companies for a pay raise, and a large reason why these companies do this is to bring ideas with them.
So what he concluded was that he called remembering an imaginative construction, meaning that we don’t replay the past, we imagine how the past could have been by taking bits and pieces that come up in our heads.
The problem is, when humans went bipedal, our pelvises got smaller, and as humans got smarter, our heads got bigger. So evolution had to get creative. Its solution: all human babies would be premies, born when they were still small enough to pass through a human pelvis.
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