I think you should take into consideration the fact that AI researchers spend much more time analysing errors and studying failure modes, hypothesising about ca

I think you should take into consideration the fact that AI researchers spend much more time analysing errors and studying failure modes, hypothesising about causes, because that is their f job. They might come out as pessimists because of it, but that's only because of so many times they got confirmation before. Laypeople spend a few hours playing with the models and think they already understood their limitations. At the present moment there is no AI model that can successfully execute critical tasks completely autonomously. That is a limitation that is confirmed over all the fields, modalities and applications. Many articles in the press simply ignore it, and extrapolate absurd timelines over the near future. The problem is that solving that last 1% gets exponentially harder.