Conspiracies aside, there are a lot of reasons for this. Reducing liabilities. Responding to complaints. The "Shiny new thing" effect reducing over time.
This is going to be the biggest problem with general AI chat systems in the future, inconsistency. Often, they are too complex to know precisely how they work. Small tweaks will break some use cases while improving others. As more complexity is added to fix the next series of bugs, the systems will become less effective overall while user's have their workflows broken then mysteriously fixed.
From the end-users perspective, consumers will lose trust and move on.
This is going to be the biggest problem with general AI chat systems in the future, inconsistency. Often, they are too complex to know precisely how they work. Small tweaks will break some use cases while improving others. As more complexity is added to fix the next series of bugs, the systems will become less effective overall while user's have their workflows broken then mysteriously fixed.
From the end-users perspective, consumers will lose trust and move on.