Well color me impressed.
Well color me impressed.
That’s so weird. You can stare at a pixel and go “yep that’s red”. Zoom in, still red. Zoom more, BOOM IT’S BLACK!
Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005)
Now I kinda want to read On Bullshit
That would have been fine for me too. I don’t own the API, so I can only speak from a consumer perspective in saying: I don’t want a HTTP 200 if my request didn’t succeed.
Oh yeah, they never explain the slowing down part huh? But they also seem to be self propelled somehow since they are zipping all over the place and slamming into particles inside of our particle accelerators.
I got pulled into a meeting with a team from AWS. I was told they were looking to implement a new solution, so I had to explain in detail how our data lake and data warehouse solution worked. I showed them how we pull data from all these different sources, how we have different integration patterns, etc.
At the end of my presentation, I asked “does that give you what you guys need? Or do I need to go into any more detail about anything specific? I don’t know what you all are actually building, so I’d be happy to provide more detail where you need it.”
Their response was “yeah that was all great info. We’re looking to build an app using AI and ML that allows you to run the business with a click of a button.”
I’m glad it was a remote meeting without cameras, because I literally face palmed. They didn’t have an actual use case or problem they were trying to solve. They were literally just selling a solution built on AI and ML. They didn’t know what it was gonna do, but by God they were committed to selling it.
You’re not small you’re just really well folded
Basically a plot point for Three Body Problem
Lol I’d say you’re lucky that it was only 3-4 hours!
Now that you mention it, I have no clue! There’s no exhaust fan on mine. It definitely works though, so I assume the people that made it are smarter than me.
Brontosaurus because Land Before Time was the shit
The problem I ran into was the response returned a JSON body, but then had an “error” attribute that was returned in it that had the error details. So we were parsing the JSON and loading elements into our database. We were hitting the API passing in a datetime of when the last success job was run, so basically saying “give me everything that’s changed since I last called you.”
So yeah, eventually we noticed we were missing small chunks of data. It turned out that every time the API errored out, we’d get a valid JSON response that contained the error message, but it didn’t have the attributes we were looking for. So didn’t load anything, but updated our timestamp to say when our last successful call was.
Huge pain in the ass to troubleshoot, because the missing data was scattered with no distinguiable pattern.
This legitimately happened to me a few months ago. A vendor API was returning HTTP 200 with the error details embedded in the JSON response. It was a pain in the ass to troubleshoot.
Wait… So can you milk a dolphin?
Usually I’d say you gotta end that with a /s. But I think the 7 way orgy should be enough.
Are you telling me that if you step on an ant and crush it, you can smell it?! Wtf is going on in this thread??
It cracks me up how thorough this post is with pages and pages of instructions, links, and pictures. But nowhere in the post does it say what a smart mailbox is or does.
I am confident that is not correct, but every time I zoom in to test it, my brain explodes and I can’t tell.