Comment by tokai
2 years ago
I for one does not miss having "big data" being mentioned in every meeting, talk, memo, etc. Sure it's AI now, but even that doesn't become as annoying and misunderstood as the big data fad was.
2 years ago
I for one does not miss having "big data" being mentioned in every meeting, talk, memo, etc. Sure it's AI now, but even that doesn't become as annoying and misunderstood as the big data fad was.
It's all cycle. Remember when XML was the future ?
Money quote from https://www.bitecode.dev/p/hype-cycles:
> geeks think they are rational beings, while they are completely influenced by buzz, marketing, and their emotions. Even more so than the average person, because they believe they are less susceptible to it than normies, so they have a blind spot.
Here I am seated in meetings discussing MACH architectures and serverless, while thinking about "The Network is the Computer" in Sun's manuals.
First time I hear about MACH. Is the name because of the Mach OS?
(The top reference I get for it is a spam-site that is trying to hype the name and sell a domain.)
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This made me remember the amazing “parable of the languages” that had XML as the main antagonist of the story. We need an AI update for this one.
https://burningbird.net/the-parable-of-the-languages/
> but even that doesn't become as annoying and misunderstood as the big data fad was.
Must be nostalgia. AI is much, much worse. And, even more importantly, not only it is a annoying buzzword, it is already threatening lives (see the mushroom guide written by AI) and democracies (see the "singing Modi" and "New Hampshire Officials to Investigate A.I. Robocalls").
Also both OpenAI and Anthrophic argued if licenses were required to train LLMs on copyrighted content, today’s general-purpose AI tools simply could not exist.
This might be naive, but I agree that AI hype will never be as annoying as Big Data hype.
At least 90% when people mention wanting to use AI for something, I can at least see why they think AI will help them (even if I think it will be challenging in practice).
99% of the time when people talk about big data it is complete bullshit.
AI is arguably the most well known MapReduce that we have, today, though
We need bigger big data (tm) to feed our Ai.