I find takes like this very strange. Whether or not it gives the correct information, it's clearly not designed to give false information to factual queries.
The design of it is based on the intention of the people creating it, not the actual outcome, and it's pretty clear from all available information, plus a general understanding of incentives, that it's designed to be as accurate as possible, even if it does make errors.
Humans update their model of the world as they receive new information.
LLMs have static weights, therefore they cannot not have a concept of truth. If the world changes, they insist on the information that was in their training data. There is nothing that forces an LLM to follow reality.
The design of it is based on the intention of the people creating it, not the actual outcome, and it's pretty clear from all available information, plus a general understanding of incentives, that it's designed to be as accurate as possible, even if it does make errors.