They Said My Tesla Was Running on Coal
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.
Artificial intelligence, machine learning, and neural networks
107 posts
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.
The neuroscience has been clear for decades. LLMs just gave us the first working schematic of why.
Before we debate AI governance, we should reckon with the test case already in evidence. We had the tools. We didn't use them. Here's why.
AI governance has one advantage the ancients didn't: you can turn it off. What that buys us — and why 'it's not conscious' is shakier ground than it sounds.
AI alignment isn't a new technical challenge. It's the oldest governance problem civilization has ever faced — now running at 100% sociopath base rate.