AI

the danger isn’t that AI will deceive us in some dramatic, sci-fi way. The danger is that AI will make deception so cheap and so ubiquitous that we might stop trying to figure out what is true. Not because we are fooled, but because we are exhausted.

“Humans of tomorrow will be AI orchestrators” is like saying, in the 90s, “Workers of tomorrow will be computer operators.” That would have seemed crazy, since most people didn’t yet see the need for having an email account. But it turned out to be a fact. Everyone has a computer on their desk or in their hand and they couldn’t do their job without... See more

Showing off your portfolio of bespoke Claude Code projects and looking at others’ portfolios is a new social activity that has already acquired the quality of campy tedium we associate with people in the 70s subjecting each other to slide shows of unremarkable vacations. Or people in the 80s and 90s inflicting VHS home videos on each other.

What it produces is something like hypomania: a state where your productive capacity genuinely increases. You’re not imagining that you’re getting more done, you actually are, but your evaluative faculty is unaccustomed to this mode of creation. You lose the ability to distinguish between “this is good” and “I feel good making this.” Everything... See more

Say what you want about Elon Musk, but he was absolutely correct that Twitter was carrying a ton of needless employees. This reckoning was coming, and “AI” is just a convenient scapegoat.

Voice is asymmetric. Speaking is high bandwidth. But listening is low bandwidth.

The flex isn’t what you’ve accomplished anymore. It’s what’s working while you’re sitting here not working.

Through extensive experimentation across diverse puzzles, we show that frontier LRMs face a complete accuracy collapse beyond certain complexities. Moreover, they exhibit a counter-intuitive scaling limit: their reasoning effort increases with problem complexity up to a point, then declines despite having an adequate token budget. By comparing LRMs

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