Once we have computers that can think like humans, there'll be people saying 'oh, it's not real "understanding", it's just generating speech that matches things it's heard in the past with some added style', not realizing that the same also applies to human writers.
As long as the bar keeps rising and we've found business applications, there will be no AI winter.
No redefinition, and using proper distinctions takes nothing away from the accomplishments made in the field. We don't even have anything close to a scientific understanding of awareness or consciousness. Being able to create machines actually possessing awareness seems fairly far off.
Being able to create machines that can simulate the qualities of a conscious being, doesn't seem so far off. I suspect when we get there the data will point to there being a qualitative difference between real consciousness and simulated. Commercial interests, and likely government bureaucracy will have a vested interest drowning out such ideas, though.
The bar hasn't moved. We've just begun aiming at different targets. That we succeed in hitting the more modest ones only makes sense.
The meanings people ascribe to those terms nowadays are very diverse and distant from the original hypotheses. Sometimes language evolves usefully so that expression is easier and ideas can be conveyed more accurately, but I'm afraid when it comes to "strong" and "weak" AI, another, more damaging kind of semantic drift has taken place that has muddied and debased the original ideas.
Those terms are victims of the hype surrounding AI. I suspect this is part of why the field has trouble being taken seriously.
[0] https://ai.stackexchange.com/questions/74/what-is-the-differ...
You seem to be thinking about artificial general intelligence, which is much more difficult to achieve.
Twenty years ago, that kind of work ran into a brick wall. But neural networks were still useful. Enter Machine Learning, and it borrowing the term "AI." But Artificial Intelligence, for many, always meant the dream of building R. Daneel Olivaw, or R2D2.
There's often much more information required (prior communication history of the involved parties, previous activities in other chats, etc.).
Using automated systems like GPT-3 would simply lead to people switching to different languages (not in the literal sense, but using creative metaphors and inventing new slang).
Pre-canned "AI" is unable to adapt and learn and I doubt that any form of AGI (if even possible without embodiment) that isn't capable of real-time online learning and adapting would be up to the task.