This bubble’s hate is pretty front-loaded though.
Dotcom was, well, a useful thing. I guess valuations were nuts, but it looks like the hate was mostly the enshittified aftermath that would come.
Crypto is a series of bubbles trying to prop up flavored pyramid schemes for a neat niche concept, but people largely figured that out after they popped.
Machine Learning is a long running, useful field, but ever since ChatGPT caught investors eyes, the cart has felt so far ahead of the horse. The hate started, and got polarized, waaay before the bubble popping.
peoplebeproblems@midwest.social 7 months ago
So… I actually proposed a use case for NLP and LLMs in 2017. I don’t actually know if it was used.
But the usecase was generating large sets of fake data that looked real enough for performance testing enterprise sized data transformations. That way we could skip a large portion of the risk associated with using actual customer data. We wouldn’t have to generate the data beforehand, we could validate logic with it, and we could just plop it in the replica non-prodiction environment.
At the time we didn’t have any LLMs. So it didn’t go anywhere. But it’s always funny when I see all this “LLMs can do x” because I always think about how my proposal was to use it… For fake data.