Hahaha:
if you continue to
try { thisBullshit(); }you are going tocatch (theseHands)III. We’ve Already Seen Extensive Gains From-
When I was younger, I read R.A Salvatore’s classic fantasy novel, The Crystal Shard. There is a scene in it where the young protagonist, Wulfgar, challenges a barbarian chieftain to a duel for control of the clan so that he can lead his people into a war that will save the world. The fight culminates with Wulfgar throwing away his weapon, grabbing the chief’s head with bare hands, and begging the chief to surrender so that he does not need to crush a skull like an egg and become a murderer.
Well this is me. Begging you. To stop lying. I don’t want to crush your skull, I really don’t.
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Fucking awesome writing style there - and a lot of salient points. The only weakness is that it’s preaching to the choir - the use of jargon and technical references probably makes it inaccessible to anyone who doesn’t agree with its conclusion.
That said, it’s wonderfully cathartic.
YES! I study AI, and this is exactly how I feel!
Side note-One of my favorite things to do is ask people what their use case for using AI is, and watch them sputter out “uh…emails and productivity and things.”
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.
It’s got electrolytes, it’s what the plants want.
Easy: recognizing bird calls on my phone.
A lot of spicy quotes I could steal.
I’m going to ask ChatGPT how to prepare a garotte and then I am going to strangle you with it, and you will simply have to pray that I roll the 10% chance that it freaks out and tells me that a garotte should consist entirely of paper mache and malice.
Aside from the technology stack being the embodiment of vendor lock-in and misery, the scamming is really what makes me not want to work on Generative AI tasks, or whatever the next hype thing is going to be.
The worst part is that many people want to be scammed. We have customers come to us, asking for a solution to a problem they’ve had for long time, and asking it to be solved with GenAI.
Then we tell them that there’s really no use-case for GenAI there, that it could be better solved for half the money using traditional methods.At which point, they ask us to integrate GenAI in some place anyways, because otherwise their boss will not give them the money. And of course, that boss also has a boss who also only frees up budget for GenAI.
And that just repeats upwards, until you have shareholders at the top, who eat up the hype, because other shareholders eat up the hype.And if you tell them “no” too often they’ll choose your scummy competitor who’ll just tell them “yeah we put all the AI in it, whatever” over you who want to actually help them.
import tensorflow # we don't actually use this anywhere, but my boss told the client we use AI
Great read. Even in STEM research as a grad student I’m very tired of every saying “let’s try machine learning on this problem” to get something that works marginally better than some conventional models but requiring huge amounts of computation and data.
I work professionally with actually useful ML stuff (we parse a lot of weird ass files and it’s extremely powerful in that context) - we’ve looked at integrating gpt3 and it scored much worse on accuracy than the model we trained in-house. We’re also investigating adding front-end AI bullshit to placate the CEO. Even at the good shops, you’ll probably get buried in this bullshit - but there are good opportunities out there!
Absolute poetry:
I know you want to be the next Steve Jobs, and this requires you to get on stages and talk about your innovative prowess, but none of this will allow you to pull off a turtle neck, and even if it did, you would need to replace your sweaters with fullplate to survive my onslaught.
The CEO of the company that fired me consistently goes up on stage and talks about the transformative power of AI. The company does not use AI for shit.
Hey now, AI transformed him into a tool who goes onstage to talk about AI. That’s transformative.
Facepalm again and again every time my non technical boss asks me if Ive been using genai to speed up my work. No boss, I haven’t, that actually slows me down
“Yeah, but my PC doesn’t handle it well. If my PC were upgraded, it could really gen some AI.”
Me, buying a 4070 super on the company’s dime
Also doesn’t really make sense without dual 5k screens
"Sure thing boss, I make all my wallpapers with it "
I used GitLab’s version of Copilot when it was free and that was net helpful. It predicted for loops and stuff and was close enough, enough of the time that it was net positive. Not enough that I’d actually pay for it…
this is a fucking masterpiece
Awesome, now do one on “the cloud”
XXXX on the cloud. We have YYYY in the cloud. Gahhhh
Read the article. This hit home too close.
if you continue to try { thisBullshit(); } you are going to catch (theseHands)
This is the most beautiful thing I’ve read all year
As someone who conferenced some basic ML research in early 2000s and then left academia for a boring/stable software engineering gig in a non IT org to escape the hype bubble only to end up having to talk to people about ML/AI frequently this article speaks to me.
