i mean, just ask DeepSeek on a clean slate to tell about Beijin.
this post was submitted on 16 Mar 2025
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What's that?
its the capital city of China :D
you know, where something happend on a specific square in the specific year of 1984.
You missed the g.
That would be 4 june 1989, not 9 june 1984 sir ;)
My life is a lie :o
Thanks for the correction.
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(2 replies)
Try Octal.
HAHAHA! When I tried it, it started answering it, but quit and showed me the OOS message instead...
Is this real? On account of how LLMs tokenize their input, this can actually be a pretty tricky task for them to accomplish. This is also the reason why it's hard for them to count the amount of 'R's in the word 'Strawberry'.
The LLM doesn't have to innately implement filtering. You can use a more traditional and concrete filtering strategy on top. So you sneak something problematic by in the prompt and it's too clever to be caught by the input filter, but then on the output the filter can catch that the prompt tricked the LLM into generating something undesired. Another comment specified they tried this and it started to work but then suddenly it seemingly shut out the reply in the middle, presumably the minute the LLM spit something at a more traditional filter and that shut it down.
I think I've seen this sort of approach has been applied to largely mask embarassing answers that become memes, or to detect input known not to work, and to shut it down or redirect it to a better facility (e.g. redirecting math to wolfram alpha).
It’s probably deepseek r1, which is a “reasoning” model so basically it has sub-models doing things like running computation while the “supervisor” part of the model “talks to them” and relays back the approach. Trying to imitate the way humans think. That being said, models are getting “agentic” meaning they have the ability to run software tools against what you send them, and while it’s obviously being super hyped up by all the tech bro accellerationists, it is likely where LLMs and the like are headed, for better or for worse.
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I was told there would be no math