a recognition that AI is powerful (and will reshape power relations among humans) but that the consequences will flow messily through multiple complex processes that we really need to start mapping and understanding
And the other question is if you tie emotion to the the conscious experience of emotion, that is you equate you conflate emotions with feelings. Well, then you're not studying emotions, you're studying consciousness.
Clean Code is another standard recommendation, but that one wasn't for me. There are useful design principles in there worth studying, but the book as a whole is too narrow and a bit too dogmatic for my taste. Your mileage might vary.
Superlogical will begin by shipping a terminal multiplexer. I'm pouring my years of experience building a terminal and studying the potential and limitations of other multiplexers into something new, powerful, and, of course, fast.
His narrative of the development of decision-making research over the past half-century is rich with personal anecdotes, gentle humor, continuous learning, and profound humility about how prone we all are to misjudge and misunderstand risks.
And so you kind of end up in this this bad equilibrium where everybody kind of knows that it's a bad equilibrium, but like nobody wants to break out. And I I felt like, okay, well, if I just hopefully come out and say like, look guys, let's all recognize that we're in a bad equilibrium and let's move to this different equilibrium where we're we're plotting things with an X-axis
rather than studying the specific diseases we think that by trying to understand inflammation more broadly that will make it so that other companies that can then use these tools can work on specific therapies.
I think the the whole industry bends towards youth for that reason and because it's a hustle business like there there's there's always a rock you haven't looked under and you know age brings children and homes and and and other requirements you get tied to and responsibilities and you're just not able to go spend 80 hours a week studying YouTube like you just can't.
The only lasting path to satisfaction, happiness, skin in the game, maximizing learning, is to really study everybody's game, define your own, and then play it to the best of your ability.
I I think this is golden age of humanity right now. It's the I think it's the end of the beginning. And and so I think we will um I think people in 1,000 years will um study these times uh the way we are studying um Cicero's times of the end of the Roman Republic
I'm now fairly pessimistic about ambitious interpretability (i.e. complete reverse-engineering), and I'm excited about model biology (studying qualitative high-level properties of models) and applied interpretability (rigorously doing useful things with interp).
I don't say that he did this because of some ideological reason. Just like he didn't outlaw the kidnapping of women for ideological reasons. He didn't come to it through studying ideas of moral right. He came to it through practical experience of life.
I think for me, the frontier in modern physics, where the new physics lies is not in high energy particle physics, it’s not in quantum gravity, it’s not in any of these sort of traditionally sold, “This is going to be the newest deepest insight we have into the nature of reality.” It is going to be in studying the problems of life and intelligence and the things that are sort of also our current existential crises as a civilization or a culture that’s going through an existential trauma of inventing technologies that we don’t understand right now.
Cultural psychology, studying emotions through the lens of culture. Your emotions are created by your culture. You should not be too sure that you share the emotional experiences of individuals from other cultures. Culture and emotion make each other up. Great insights!
The phenomena of greatest scientific interest on Mars (gullies, recurrent slope lineae, intermittent methane sources, and underground water) will all be off-limits to astronauts.
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.
A wonderfully dark novel, structured loosely around a series of recipes. You won't learn any new culinary tricks, but you'll be drawn into the wicked plotting of Tarquin Winot as he spins his schemes with considerable savoir faire . The first book I recommend to people I think highly of.
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