1. As I said before, we've long since reached diminishing returns on models. We simply don't have enough compute or training data left to make them dramatically better.
2. This is only true if it actually pans out, which is still an unknown question.
3. Just... not using it? It has to justify its existence. If it's not of benefit vs. the cost then why bother.
4. The public hates AI. The proliferation of "AI slop" makes people despise the technology wholesale.
2. Sure, depends on #1. But the incentive is undeniable.
3. It has. Do you think people are using Claude Code in incredible numbers for no reason?
4. The public and businesses are adopting AI en masse. It's incredibly useful. Demand is skyrocketing. I don't think you could show that negative public sentiment has been sufficient to stop this, any more than negative sentiment about TVs, headphones, bicycles, etc (which was significant).
With the exception of #1, I feel like you're arguing that things won't happen, where the numbers show they've already have happened and are accelerating.