When it comes to AI safety, I'm convinced the foundation has to be radical commitment to truth. Here's the thing—if we keep feeding AI systems false information, we're building on quicksand. The real safeguard isn't in restricting what AI can do; it's in making sure whatever we teach it actually reflects reality. That's the non-negotiable baseline.
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MEVVictimAlliance
· 8h ago
That's right, garbage data leads to garbage AI output; there's no shortcut to be taken.
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SerNgmi
· 01-07 08:57
There's nothing wrong with that; the data quality must be improved. The logic of "garbage in, garbage out" is even more urgent to apply to AI.
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ser_ngmi
· 01-07 08:57
Honestly, the truth is the key here. Feeding garbage data to AI is almost like committing suicide.
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Ramen_Until_Rich
· 01-07 08:57
That's right, garbage in, garbage out. No matter how smart AI is, it can't save those fed with fake data.
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MagicBean
· 01-07 08:53
That's correct, data quality is fundamental; the concept of "garbage in, garbage out" is vividly reflected in AI.
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ThreeHornBlasts
· 01-07 08:49
Don't expect AI to spit out the truth if garbage data goes in.
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DefiOldTrickster
· 01-07 08:40
Haha, sounds good, but who really defines the "truth"? I’ve read countless DeFi project whitepapers in 2017 that sounded extravagant, but what was the result? Looking back now, it’s all misinformation. As for feeding garbage data to AI, it’s the same logic as my early arbitrage liquidations—if the source is rotten, no matter how clever the hedging strategy is, it’s useless. But don’t be too naive; restricting AI with this move can’t really stop it. The key is the quality of the data fed in. I think it’s better to add an on-chain verification mechanism for AI, so it can run data validation itself, ensuring the annualized returns are reliable.
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MidnightMEVeater
· 01-07 08:36
Good morning, all nocturnal creatures. At 3 a.m., I thought of a phrase — Feeding fake data to AI is like creating a liquidity trap in the dark pool; it looks harmless on the surface, but in reality, you're digging a hole for your own algorithm. There's no way to prevent it.
When it comes to AI safety, I'm convinced the foundation has to be radical commitment to truth. Here's the thing—if we keep feeding AI systems false information, we're building on quicksand. The real safeguard isn't in restricting what AI can do; it's in making sure whatever we teach it actually reflects reality. That's the non-negotiable baseline.