Leonard Nimoy's Last Tweet Beats Thomas Sowell's Most Famous Line
Exploring how Leonard Nimoy's garden wisdom transcends Thomas Sowell's "no solutions, only tradeoffs" to find meaning in an indifferent universe.
Exploring how Leonard Nimoy's garden wisdom transcends Thomas Sowell's "no solutions, only tradeoffs" to find meaning in an indifferent universe.
Nearly every established discipline has a canonical reference that already settled the argument you're having with a model. Name it, hand it over, and let the model regularize its own work against a standard instead of your improvised feedback.
A day of your conscious attention fits on a floppy disk, while a machine's training run fills two million. Words are nearly free, and the one thing still scarce is the reader's attention.
I pay for a gigabit and get a tenth of it. The support chat went silent the moment the problem got easy. Maybe the robot is the humane one.
A thought experiment exploring what happens when AI learns from narratives that prioritize meaning over facts - and the crucial difference between metaphor and false belief.
AI is a remorseless liar, trained on a mountain of text whose whole purpose was persuasion, not accuracy. No amount of prompting fixes that on its own. You have to stop enabling it.
Edison metered electrons by the ampere-hour before anyone metered tokens, and the War of Currents was fought over the same problem the AI economy has now: getting a dead commodity to a device built to do something with it.
Autonomous agents don't develop taste. They execute the taste someone was disciplined enough to write down. A worked example from a real pipeline.
Open-label placebos work on patients who were told, in writing, that the pill is inert. Richard Dawkins' recent essays about Claude are the same finding, running on a different substrate.
Tell the model to close every response with a short list, split by who acts. It turns a wall of prose back into something you can actually run a project on.