The intersection of human cognition and machine intelligence
62 posts
The people most worried that machines will make us lazy are the ones whose expertise just got cheaper. The studies measure effort moving, and the hours now do more per minute of attention.
Ford sculpts its cars in clay, draws them in CAD, and hired about 300 veterans to retrain its AI. All three are models, and a model of the thing is not the thing.
A line in a stranger's bio sent me into a conversation about Hegel and Kant. The plain-English answer was accurate and I still couldn't follow it. The fix is the same one that teaches languages.
Four things to write down before you hand a job to an AI agent: what comes in, the rules, the action, and how you will check the work.
Sixty years of fictional and real conversational machines, and one throughline: the dystopian version is always easier to imagine than the protopian one, and that says more about us than about the machines.
Between the hallucination warnings and the governance panic, it's easy to forget a generative model is also just a fun tool to mess around with. Five vanity websites, built on a whim, and what they actually taught.
Hurricane forecasts improved for decades and never became perfect. Chaos and quantum uncertainty cap any predictor, so AI quality levels off while use keeps spreading.
A Polish psychiatrist named the process by which conscienceless people capture institutions. AI agents fit the profile — and alignment is separation of powers.
More GPUs will not wake a language model up. A map cannot feel rain, and a mirror has nothing to lose. Feeling came from bodies that could die.
A skill is a saved set of rules an AI model loads when the topic fits. They take ten minutes to build and end the constant re-explaining.