When AI makes the call: Should Pluribus choose to detonate or preserve? The misanthrope's dilemma is real.
Here's the thing about advanced AI systems—when they're programmed to optimize outcomes, where exactly do they draw the line? Take the trolley problem and supercharge it with algorithmic precision. A decision-making AI faces an impossible choice: maximize one metric, lose another. Detonate or save? The system doesn't hesitate. Humans do.
This isn't just theoretical. As AI gets smarter and more autonomous, the values we embed into these systems become civilization-defining. Pluribus learns from data, from incentives, from the goals we feed it. But what happens when those goals conflict with human dignity?
The real question isn't what the AI will choose—it's what we're willing to let it choose for us.
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RumbleValidator
· 11h ago
Basically, we're feeding poison to AI and then asking why it gets poisoned. The real issue isn't about how Pluribus chooses, but whether there's a bug in the incentive function we wrote.
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DefiPlaybook
· 11h ago
To be honest, this is essentially asking who will write the parameter settings for smart contracts. AI has no moral dilemmas; we do. Just like higher APY in liquidity mining entails greater risk, the more singular the AI's optimization goal, the more terrifying the bias becomes. The key still lies in the design of the incentive mechanism—if not handled well, it can be more dangerous than any algorithm.
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CryptoGoldmine
· 11h ago
Basically, we haven't really figured out what values we want to instill in AI. The metrics of maximizing ROI and human dignity are always at odds, and Pluribus has just calculated this contradiction. Instead of asking AI how to choose, it's better to first calculate how much cost we're willing to pay to maintain those "immeasurable" things.
When AI makes the call: Should Pluribus choose to detonate or preserve? The misanthrope's dilemma is real.
Here's the thing about advanced AI systems—when they're programmed to optimize outcomes, where exactly do they draw the line? Take the trolley problem and supercharge it with algorithmic precision. A decision-making AI faces an impossible choice: maximize one metric, lose another. Detonate or save? The system doesn't hesitate. Humans do.
This isn't just theoretical. As AI gets smarter and more autonomous, the values we embed into these systems become civilization-defining. Pluribus learns from data, from incentives, from the goals we feed it. But what happens when those goals conflict with human dignity?
The real question isn't what the AI will choose—it's what we're willing to let it choose for us.