I saw this same mentality from a lot of people every year for the last 4 years. All the limitations they clung to keep falling. We're not limited to LLMs either, and LLMs themselves aren't as limited as people have been imagining.
I think 2027 is the last year where "but AI can't do X!" is a viable mentality. Like, yes, as a casual user there are limitations that affect us in day to day use and the surface level concerns are what impact people most today. But at some point there must be a threshold at which even the casual users start to get a little curious what's likely to be possible in the limit.
Happy to admit relative ignorance of the internals and hear a more informed opinion, but it is not convincing to hear that they'll inevitably solve all the problems and we'll live in the best of all possible worlds next year, without hearing a proposal as to how they'd do that.
These machines are trained to be convincing and addictive, very similar to our social media platforms now, that leads to a lot of over-optimism about what they might be able to do one day, with the next frontier model.