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Because the hype cycle on the original AI wave was fading so folks needed something new to buzz about to keep the hype momentum going. Seriously, that’s the reason.


Do you have any reasoning or anything else to back this up? Edit: honest question, not a diss or a dismissal.

It's an interesting take, one that I believe could be true, but it sounds more like an opinion than a thesis or even fact.


Folks aren’t seeing measurable returns on AI. Lots written about this. When the bean counters show up, the easiest way to get out of jail is to say “Oh X? Yeah that was last year, don’t worry about it… we’re now focused on Y which is where the impact will come from.”

Every hype cycle goes through some variation of this evolution. As much as folks try to say AI is different it’s following the same very predictable hype cycle curve.


The Gartner Hype Cycle [1]. I wonder were AI should be put on the graph, here in the 2025 fall. Just past the peak? Or are we not there yet.

[1]: https://en.wikipedia.org/wiki/Gartner_hype_cycle


Why do they need reasoning to back it up when the LLMs being promoted don’t actually do any reasoning?


Same with “context engineering”




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