[simianwords]

Motte and Bailey.

From your video, it looks like your definition of hype involves a situation where eventual adoption increases above what is in the hype today.

Here's what the parent comment thinks:

> It's just a hype cycle. In my 15 years in data, I've seen around 3-4. Every time leadership get way too invested in the possibilities, and they waste tons of money on doomed efforts. A good example of the prior one was "Big Data" which was even more pointless than the current AI boom.

Obviously the parent doesn't think of hype the way you think of it because they claim that big data was pointless -- they don't see the eventual "slope of enlightenment". They think of hype cycle in the colloquial way and I was responding to that.

I see this all the time in the website and frankly the patronising "but actually hype means something else" is pointless and pedantic. I urge you to respond to words within the context and not bringing in academic definitions.

[disgruntledphd2]

I'll thank you to not put words in my mouth ;).

I think the tech is useful, but the hype is ridiculous so I expect lots of companies to have large share price declines et al when this settles.

Big data also had a good core, but all the e-commerce sites building a data lake wasted lots of money.

[simianwords]

The person I replied to put words in your mouth. You and I agree what you meant. You mean that the hype would die down and won’t come back up again. Ever. So reply to the person above who thinks you mean hype this way.

[disgruntledphd2]

Whoops. Apologies, bad sleep last night and replied in wrong thread