The only reason it works for Wikipedia is because everything must be externally-verifiable ("citation needed" and all that).
The only reason it works for Wikipedia is because everything must be externally-verifiable ("citation needed" and all that). On Wikipedia, trust in the crowd is not only unnecessary, it is actively discouraged. That doesn't work for all situations, and as we can see from this story, bad things can much more easily happen in cases where external verification is not available.
Posted by crdblb on Jul 7, 2014, 8:09 PM
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- Not sure what you suggest to do.
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- (My comment is about detached houses).
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Raise real-world problems, find people facing the same issue, and discuss solutions.9,500 issues0 comments
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Not sure what you suggest to do.
NewWhy is this not yet published on the official website and why is there no CVE?
NewThe biggest problem with having an LLM do this, from what I've observed of at least frontier models, is that the way they are trained...
The biggest problem with MOND is that it was hand-crafted with additional parameters simply to fit the data.
(My comment is about detached houses).
The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained int...
> steer Claude away from over-engineering parts of the system in response to hypothetical concerns.
Why is there no comparison with FLUX 3 Image?
The only reason it works for Wikipedia is because everything must be externally-verifiable ("citation needed" and all that).
The only reason it works for Wikipedia is because everything must be externally-verifiable ("citation needed" and all that). On Wikipedia, trust in the crowd is not only unnecessary, it is actively discouraged. That doesn't work for all situations, and as we can see from this story, bad things can much more easily happen in cases where external verification is not available.
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