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This does surprise me, because you'd think that even if they crank up the filter's sensitivity at the expense of specificity, an LLM company wouldn't simply design a filter that triggers on keywords in a completely unrelated context.
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Smart classifiers are slow and susceptible to jailbreaking themselves, dumb classifiers are fast but dumb so they need to be either overzealous or useless. Same story as with Gemini's guardrails.
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Can you share an example? I've been happily using Fable this afternoon and it just seems like the usual upgrade so far with no interruption to my (fairly standard) SWENG problems.
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Basically anything that could potentially make money besides software work seems to be banned.

Software work has actual competitors, and the biggest hypemakers for Anthropic are part of this group so it makes sense to allow it despite them losing money from it.

I've got experience in medicine and finance so I've tried even the mildest biology/medicine and it doesn't give anything, math heavy finance seems to be included in the cybersecurity?

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