>There have been numerous criticisms[8][9][10][11] of the hype cycle, prominent among which are that it is not a cycle, that the outcome does not depend on the nature of the technology itself, that it is not scientific in nature, and that it does not reflect changes over time in the speed at which technology develops. Another is that it is limited in its application, as it prioritizes economic considerations in decision-making processes.
>An analysis of Gartner Hype Cycles since 2000[11] shows that few technologies actually travel through an identifiable hype cycle, and that in practice most of the important technologies adopted since 2000 were not identified early in their adoption cycles.
Many techies here are still in denial and are forced to not trust it as they know it hallucinates for no reason given that it has no capability of transparent reasoning - fundamental to anything that is in deep learning.
This is why many are now realizing that the hype was just a grift to get as much VC capital as possible from investors over this ‘AGI’ narrative.
The ones upset over ChatGPT hype are just worried about their over-leveraged investments into ChatGPT-wrapper companies and are confused as to why this AI snake oil is wearing off.