Programming

I suspect it mostly relates how much code base there is on internet about the topic. For instance if you make it use a niche library, it is quite common that it makes up methods that don't exist in that library but exists in related libraries. When I point this out, it also hallucinates saying "It was removed after version bla". I also may not be using the most cutting edge LLM (mix of freely available and open source ones).

The other day I asked it whether if there is a python library that can do linear algebra over F2, for which it pointed me to the correct direction (Galois) but when I asked it examples of how to do certain stuff it just came up with wrong functions over and over again:

In the end it probably was still faster than google searching this but all of these errors happened one after the other in the span of five minutes, so yeah. If I recall correctly, some of its claims about these namespaces, versions etc were also hallucinated. For instance vstack also does not exist in Galois but it does exist in a very popular package called numpy that can do regular linear algebra (and which this package also uses behind the scenes).