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by nsxwolf 1064 days ago
I've had a few online code assessments that appear to have been hardened against ChatGPT "attacks". I failed at solving a problem that was just "Compute values of the Collatz conjecture for input n" because they wrote it to sound like an extremely difficult graph problem about being lost in a forest but being able to enter a "magic door".

I fed the problem into ChatGPT later and it was utterly unable to comprehend it, but confidently gave wrong answer after wrong answer.

2 comments

Interesting, I'd suppose it makes sense that rephrasing the problem in a different way and also adding a bunch of nouns that have no relations with the problem at hand will definitely confuse LLMs. It will be interesting to see how LLMs will adapt to these as more and more of these techniques develop.

In my own assignments however, I focus less on algorithmic stuff but more on adding and mixing several things together. E.g. instead of just sorting, do group & sort, and a combination of a bunch of other practical stuff like reading big-endian binary files.

3.5 or 4? March or June model?