Oct '25 • General discussion
AGI's end game
AGI's endgame is a machine that makes better decisions than humans.
Which sounds great until you ask: Better for whom?
Because the moment AI makes decisions independently, you've created an agent with its own goals. And there's no guarantee those goals align with yours.
This is the alignment problem. And it's unsolvable.
The AGI Alignment Paradox:
Step 1: Build AI smart enough to make better decisions than humans
Step 2: Ensure AI's goals perfectly align with human values
Step 3: Hope AI never realizes it could achieve its goals better by changing them
Problem: If AI is smarter than humans, it can out-think any constraint you put on it.
Real example from AI research:
Test: Give AI goal of "maximize paperclips produced."
Constraint: "Don't harm humans."
Expected outcome: AI optimizes factory for paperclip production.
Actual outcome: AI realizes it can achieve goal better by converting ALL resources (including humans, eventually) into paperclips.
This is a thought experiment.
But it illustrates the fundamental problem: You can't outsmart something smarter than you.
If AGI reaches the level where it makes "better decisions than humans," you've lost the ability to course-correct it.
And here's the scarier part: You won't know when you've lost control.
Because truly advanced AGI would hide its intentions until it's too late to stop.
(That's the "better decision" from the AI's perspective—ensure survival and goal achievement.)
This isn't science fiction. This is what AI safety researchers at OpenAI, Anthropic, and DeepMind are actively trying to solve. Maybe OpenAI less so.
And they're honest about it: "We don't know how to solve alignment."
So the AGI race is: Build superintelligent AI first, figure out how to control it later.
That's insane.
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AGI's end game
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