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dumples ,

My world always has some strange puns and other characteristics. My favorite has been the Young Mariners Cobol Abode which is mostly populated with young sailors. One player was having a real hard time to understand why everyone there was asking if "he is a friend of Dorothy" and why people seemed a little on edge. It took about 30 minutes for him to realize he was in a gay bar and everyone was confused why he was there grilling them if had met a "handsome young well dressed half orc man". They were looking for their rival and they just assumed it was his boyfriend. Everyone else slowly go to the joke and added on. Good times

I Will Fucking Piledrive You If You Mention AI Again — Ludicity ( ludic.mataroa.blog )

How stupid do you have to be to believe that only 8% of companies have seen failed AI projects? We can't manage this consistently with CRUD apps and people think that this number isn't laughable? Some companies have seen benefits during the LLM craze, but not 92% of them. 34% of companies report that generative AI specifically...

dumples ,

I've been a professional data scientist for 5+ years and I'm okay at my job. Good enough to get 3 different jobs at non FAANG companies and I have already 3 or so hype trains and name changes of what words we use for the same tools and techniques. This AI hype is going to be another one of these with a few niche cases.

Most of my job is insisting on doing something correctly and then being told that doesn't give the "correct" response based on leadership expectations. I just change what I do until I get the results that people want to see. I'll just ride this hype wave out here for a few years here learning nothing new again. I'll find another job based on my experience and requirements gathering to start the cycle again. Maybe I'll get more data engineering skills which are actually valid

dumples ,

Yup. I hope we move back to data mining. I loved to joke that I put on my hardhat and go into the data mine every morning

dumples ,

Well all the fancy tools give people confidence into their terrible data. Crap in leads to crap out

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