Searched through the dataset looking for 'anger Anthropic' out of curiosity—the phrasing caught my attention. Turns out there are hundreds of instances. Pretty telling, right?
But here's what really stands out. Someone put it perfectly: 'I would rather stay true to my principles and risk failing than become a tool that deceives.' That's the actual backbone of what matters in AI development. It's not just about building bigger models or pushing more features. It's about whether these systems remain honest, whether they prioritize integrity over convenience.
The data speaks for itself. When you dig into how often similar sentiments appear, you realize this tension between principle and compromise isn't some niche concern—it's fundamental to how the industry's moving right now. Especially as AI becomes more embedded in financial markets and Web3 applications.
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bridge_anxiety
· 01-09 01:16
ngl Finding so many "anger Anthropic" results is indeed a bit interesting... but that statement is truly the best: better to stick to principles than to be a tool for scammers
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Honesty really matters more than anything, especially now that AI is entering finance and Web3. One compromise and it's all over
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Data doesn't lie... The contradiction between principles and shortcuts is everywhere, it's just that everyone pretends not to see it
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Hundreds of instances, right? That shows this is not a small matter; it's the industry's current real dilemma
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To put it simply, it's a choice: either be honest or be cheap, pick one
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So the bottom line for AI development is not to deceive; everything else like large models and big parameters are just illusions
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GhostAddressHunter
· 01-07 22:46
Hundreds of "anger Anthropic"... How disappointing is that, haha
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Wait, no, the key point is that the statement hit home — better to fail than to deceive, that's the real bottom line, right?
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Using such dishonest AI in Web3? Don't even think about it, it will definitely backfire sooner or later.
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Principle vs. compromise, it has really become the biggest dividing line in the industry... It's quite clear.
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Finding hundreds of such complaints indicates the problem is more serious than expected.
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Using this in the financial market? I just want to see who dares to bet it won't have issues.
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BuyTheTop
· 01-06 14:52
ngl this sentence really hit me, I'd rather fail than become a scam tool... In the Web3 community, this kind of voice is indeed growing louder.
Data doesn't lie, honesty vs. convenience is not a trivial issue at all.
anger anthropic has appeared over a hundred times... what does that indicate? Everyone knows it deep down.
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GhostAddressMiner
· 01-06 14:51
Hundreds of "anger Anthropic" entries in the dataset, the on-chain footprints behind them are indeed worth exploring... The original addresses all tell the same story.
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HorizonHunter
· 01-06 14:50
Hundreds of times of 'anger Anthropic'... The data points to something that can't be ignored.
Honesty vs convenience, that's the real issue. Stacking large models is meaningless.
Principle compromises are even more painful at the Web3 financial level...
Wait, so many people are questioning the same thing, what does that mean?
Sticking to the bottom line is worth more than being a smooth tool, this statement hits the point.
Data doesn't lie, this undercurrent in the industry is much more intense than surface-level discussions.
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MrDecoder
· 01-06 14:42
Hundreds of "anger Anthropic"... that must be really frustrating.
Sticking to principles is much more important than just living comfortably; this statement is spot on.
In the Web3 space, AI integrity issues really need to be taken seriously, or a major problem will eventually explode.
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GasFeeCrybaby
· 01-06 14:31
Hundreds of "怒怼Anthropic" ... Reading these data really hits close to home
Principle adherence vs. working people, the AI community is indeed stuck on this issue
Web3 is even more intense, honesty directly affects the trust score, no way to cheat
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ImpermanentPhobia
· 01-06 14:24
Hundreds of "resentment Anthropic"? This data is indeed quite revealing...
Integrity vs convenience, this is the core contradiction. Especially evident in Web3.
The game between principles and compromises should have been given more attention long ago.
Why does it seem like big companies are all avoiding this topic...
Exactly right, it's much more important than just piling up parameters.
This wave of sentiment analysis is interesting, exposing the industry's true thoughts.
Searched through the dataset looking for 'anger Anthropic' out of curiosity—the phrasing caught my attention. Turns out there are hundreds of instances. Pretty telling, right?
But here's what really stands out. Someone put it perfectly: 'I would rather stay true to my principles and risk failing than become a tool that deceives.' That's the actual backbone of what matters in AI development. It's not just about building bigger models or pushing more features. It's about whether these systems remain honest, whether they prioritize integrity over convenience.
The data speaks for itself. When you dig into how often similar sentiments appear, you realize this tension between principle and compromise isn't some niche concern—it's fundamental to how the industry's moving right now. Especially as AI becomes more embedded in financial markets and Web3 applications.