Why Playing the Game Is Slowing You Down
Be the coach, not the player. On taking the seat that directs a team of AI agents — and the practice it takes to get good at it.
Be the coach, not the player. On taking the seat that directs a team of AI agents — and the practice it takes to get good at it.
Fable burns $160/hour and the internet is scandalized. Meanwhile, a $1,000/hour attorney moves $20M around a dead child. The wrong thing is expensive.
In 2013 the talking point was coal. Now it's water. The structure of the argument is identical. So is the physics problem with it.
AI is making cognitive labor cheap. The meritocracy was built on it being scarce. Something has to give — and for once, that might be good news.
A finite brain masters only a few skills in a lifetime. Commanding a machine that learned everything is the new skill multiplier.
Spock beat a rogue AI by asking it to compute pi forever. The trick was fair — for a 1967 machine. Every gotcha since has the same expiration date.
LLMs are stateless. Every fact you give the model is re-fed as text each turn, then forgotten — the same weights answer a stranger's steak question a millisecond later.
A late friend had two sayings. The first one gets you started. The second one keeps you going. In the age of AI, the second one has gotten more useful, not less.
Most companies won't tell you when their product isn't the right tool. We will. Honest guidance on who this is built for — and who should go find something else.
The neuroscience has been clear for decades. LLMs just gave us the first working schematic of why.