Startup founders have a reputation for overconfidence, but this is just sample bias; the arrogant ones are also the loudest. Even now most good startups underrate themselves, so it really helps to encourage them.
Roast quality and color can have a big impact on perceived cup score and buying decisions, so if you are serious about choosing the right green for your company, it is a good idea to do your own sample roasting, using a system that yields your preferred roast level consistently.
But, what's not been successful is learning about uh biology and biological change. And one big reason for that has been that the sample sizes have been too small.
Mojito Island is a mirage. It always was. There is no retirement for ambitious people. There is no just sitting back on the beach and sipping a mojito for what? For two weeks before you go damn crazy and wanna get back into the action?
Their words now
I think that's the other big misconception that some people have about wealth is that they conceive of it as some sort of checkpoint. Like once you've made it, then you can just kick back in leisure as though that was happiness.
and so I don't think TSMC would kick out Apple. I think Apple will become a smaller and smaller and smaller percentage of TSMC's revenue and therefore be less relevant for TSMC to cater to their demands.
all of the samples you get from models are silently collapsed. They're silently, this is not obvious if you look at any individual example of it. They occupy a very tiny manifold of the possible space of um sort of thoughts about content.
and so I think this is interesting just modernization learning that especially if you work on a premium product try to have your free product be a reflection of like everything that your product can offer you. Obviously, to an extent, there's some costs involved with some of the paid features and things like that, but it generally will pay it for itself if you're able to put your best foot forward um and go do that.
If you look at the most recent evidence on this issue, they found that post-1990, aging economies became richer. Not the other way around, which was true for the pre-1990 sample. And the reason is that these aging societies much more rapidly adopted new technologies, automation that actually helped the entire economy.
There's the first law of thermodynamics, which is just about the different forms of energy. Then there's the second law, which is about when you use that energy, Kardashev wasn't thinking about the second law. If you get all that energy and you use it, there is waste heat. You don't get to use it all.
These are important principles, but they ignore the problems of sustainability, inequity, and bias. In addition, the emphasis is usually on the immediate issues, not the long-term impact. In other words, they describe the way we did things in the past, not the issues in this book, and not the way we need to do things in the future.
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