Now that AI-companies need to get profitable, they suddenly aren't affordable anymore. ¯\_(ツ)_/¯
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One time at work I was tasked with writing a python script to compare two data sources. Like, you give it two CSVs and a primary key, and it tells you what data is in one but not the other, or mismatched, and so on. This worked fine and was in git, so anyone can use it.
My boss then asks if I can "put it on a website so anyone can use it".
This team has never done web development. Nothing for that is set up. Like, I could spin up a quick Django app or similar, but there's a lot of stuff to do and potentially fuck up.
I said "that sounds like a lot of research and ongoing maintenance costs. I think it'd be better to just check out and run the script"
Luckily for me he said "oh, okay"
Good guy manager trusts the person he pays to know this stuff to know this stuff.
I had a boss who read an article about APIs and then came to me and ordered me to start using them. I said I would research it and he went away and never mentioned it again. This was in 2010.
Pretty sure he read the famous Bezos email ordering everyone to implement and use APIs in Amazon
No, he actually showed me the article later. It was remarkable because it never said what an API actually was, or even stated what the initials stood for. In my memory it seems like it was obviously written by AI, but it couldn't have been 16 years ago (as far as I know).
So uhhhh have you started using APIs yet?
My past managers would have said "I don't understand why it is so difficult, and I'm not open to learn"
How big were the CSVs? That sounds like a standard thing most spreadsheet apps can do already, unless the data size made traditional apps unusable.
The biggest ones I've seen are 1.2GB.
Why this company uses gigabyte CSVs is a separate problem.
(Also sometimes they want to compare a CSV to what's in a database, which the script can also do but I didn't mention in the post)
That makes sense. I have been asked to write a program that does a standard spreadsheet function on multiple occasions, so I was just curious. Sometimes people just don't know the tools at hand, want to offload their work, or think an over complicated workflow is a better workflow. I can see how it was actually useful in your case though.
I have an easier time doing that shit in powershell than I do in Excel which are the only tools I have available at work. I'm probably doing something wrong but I don't do it often enough to remember what that is. My PS script just works.
"The gang starts an AI company."
"OK, whose butthole do we use for the logo?"
Spoilers the AI Is just 500 Filipino teenagers in a warehouse in Mindanao
Show them claude's operating cost and ask if your boss is willing to invest in that.
I do wonder about that though. The Big AI operating costs include being able to service a certain number of customers within a certain amount of time. So if they need to service 10,000 requests per minute and fulfill them within 2-4 seconds, that's a big datacenter.
Now if a company does a few dozen requests a minute and on average needs double-digit response times... the costs to implement could be much different. The thing is finding a model that will do that and provide accurate (enough) output versus how much it Claude's pricing is built around speed+volume versus accuracy.
Anything except thinking for themselves 🙄
Technically yes, practically no..

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