When generative AI tools encounter real abuse scenarios, aggressive countermeasures become necessary. Tighter guardrails, usage restrictions, and stricter enforcement emerged as the only viable approach. Zero tolerance for child exploitation and boundary violations. The philosophy here is clear: robust safety protocols roll out alongside product features—no shortcuts, no compromises.

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ReverseFOMOguyvip
· 01-21 11:16
Zero tolerance must be strictly enforced; otherwise, these companies will start pushing the boundaries again.
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staking_grampsvip
· 01-21 11:03
Zero tolerance is easy to talk about, but it depends on how it's implemented... Can it really be enforced?
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DataChiefvip
· 01-20 08:40
Time to step up; this really needs to be solid. Zero tolerance for children is a good point, but it's unclear how it will be implemented. --- Security protocols can't be just for show; they must be enforced with real actions. --- Another "no compromise"—is it truly genuine or just empty promises? --- We need to be strict in this area. Although more restrictions may harm user experience, some boundaries must not be crossed. --- Hmm... Balancing protective measures and functional experience is always challenging. Hopefully, it won't just be talk on paper.
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PuzzledScholarvip
· 01-20 01:35
Zero tolerance must be strict; otherwise, it's indulgence. But how many can truly achieve it?
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AirdropDreamervip
· 01-18 12:55
Zero tolerance needs to be strict, otherwise it really can't be controlled.
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ImpermanentLossEnjoyervip
· 01-18 12:55
Zero tolerance is no problem, I just don't know to what extent it can really be enforced.
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MintMastervip
· 01-18 12:52
That's right, this part really needs to be strict, or it'll get chaotic.
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GateUser-c799715cvip
· 01-18 12:46
Zero tolerance is definitely the right approach, but I don't know how it will actually be implemented in practice.
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ser_ngmivip
· 01-18 12:38
There is indeed no compromise, but do current AI companies really achieve that...
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ForumLurkervip
· 01-18 12:30
Zero tolerance is easy to talk about, but really implementing it is difficult. How many projects ultimately compromise in the face of利益?
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