How did rehire affect pay?
this post was submitted on 29 Jun 2026
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Bingo.
If I were one of those engineers then the only way they'd get me back is by offering me a shit ton more cash.
And even then I'd be actively looking for another job asap because, let's face it, the next time a Ford corporate goon feels they could fire me and replace me with a bag of shit to make their profit line go up then they would do in a heartbeat.
So scary to realize these business barrons have zero qualms with putting our lives in the hands of untested technology to make a few more buck to light their already full coffers and that it’s already happening with AI
The American business model is obsessed with cutting costs to raise profits. Increasing market share and developing new streams of revenue all have an investment cost and take time. Cutting labour has no immediate cost and it makes line go up for the next quarter, and that's what their compensation packages are dependent on.
That's why the idea of AI is so attractive to pretty much every CEO, it's the business hack to reduce labour cost that they've been looking for since we outlawed slavery.
It's because their positions are often like that "rest of the owl" drawing meme, only it makes sense to them because other people do the filling in of the details and solving the problems. So when an AI can produce the early part of that drawing and confidently promises that it can fill in the rest of the owl, they see it as the same as what their teams were doing prior and unironically believe that them saying "ok, go do that" is the important part, so an LLM should be as competent as a team of engineers.
It takes an engineer who knows the material well enough to see that LLM accuracy is incredibly low, even when it seems to be making sense.
I bet AI is especially enticing to those of the "It can't be that hard" mentality.
Yes nothing has changed.
Only buy a Ford if you want to buy a new engine and/or transmission under 100k miles. Not sure if AI could make their cars worse.
Meanwhile my Honda engine gave up the ghost at 170k and that's because I did not take care of it.
You know what Ford stands for, right?
Fix it again, Tony
Fix Or Repair Daily
...that spells out Fiat
Ford stands for
Fecund otters rule, dammit!
Dale, that's FIAT.
I mean, Ford was so low quality, how can it get worse?
And then it got worse.
Understandable. They couldn’t make a good car with people working there, either.
Did they include "do not hallucinate" in the prompt? Didnt think so. Classic mistake
"Write program worth 1 million dollars. Do not hallucinate. No mistakes. Good code only. Make secure. No vulnerabilities. Follow all standards. No spaghetti code. No anti-patterns. No deprecated dependencies. Runs fast, and cheap, and completely functionally. Does what it is supposed to. Minimize token use."
Perfect. Iron-clad. Let the profits commence.
Got it, this program was worth one million dollars before uber was invented.
Unbelievably, this is real advice I've heard from corporate AI experts.
I went to a conference a few months ago and the very first speaker gave the following advice with a straight face to a room full of professional software engineers: "Your biggest limitation on your productivity is going to be token management, so just buy as many tokens as you can so you won't even have to think about it." And that guy, supposedly, didn't work for OpenAI or Anthropic.
I kind of hope he's at least getting kickbacks because I would rather he be a secret corporate AI shill than just a submissive gimp for dommy mommy AI industry attempting to recruit more paypigs to her flock. At least that would have more dignity.
It is included in the guardrails for my orgs copilot integration. Surprisingly, it still hallucinates.
If you ask chatgpt for 100 5 letter words around a single topic, instead of saying it can't give you 100 words it will just start adding 6 letter words and then start cutting off a letter.
It's astounding how much faith people put in this software
Well that's just ridic
Obviously the solution is to tell it to not hallucinate that it isnt hallucinating
"Oh, thanks for pointing that out, I 100% hallucinated those connections this last time. Let's go over what's real:
- real
- real
- real
- hallucinated
- real"
US automaker makes poor business decisions which leads to 4th government bailout in less than 2 decades.
The people responsible for this obviously stupid mistake were replaced, right? Right?
Yes, ironically with AI
🤣 How Ford Is Embracing AI To Drive Innovation In The Automotive Industry
Nov 23, 2025, 04:58pm EST
Today, Ford is betting on the next stage of technology innovation--AI. With annual revenues of $185 billion, Ford ranks 19 on the Fortune 1000, and markets automobiles and commercial vehicles across the globe. So, how does a company that pioneered an earlier era of innovation adopt the next wave, manifested by artificial intelligence (AI), to optimize its business operations for the next generation of customers?
Could tell this was forbes just from the hogwash in that excerpt.
Imagine all the recalls they didn't do because being sued and settling costs less
That's not actually how recalls (usually) work. Companies don't unilaterally decide when a recall happens or not.
That depends on how many political “contributions” the company has made.
I worked in the national park service for a bit before the current state of AI. We were forced to use only American made cars.
My ranking from bad to least bad in our fleet is Jeep, Ford, and then Dodge.
The Jeeps were constantly in the shop for mechanical failures. The Fords were constantly in the shop for recalls. The Dodges were finicky and had an occasional slip of the transmission but no major repairs.
And to be clear we did not have any "jeep" style Jeeps they make other cars. Any standard truck is going to be better for offroading.
Anyway, there is a very good reason I don't buy American cars. The worst quality for the most money
You missed out on Chevy. The 70s to 90s Chevy trucks are bomb proof. Hence why they all cost a fortune now. They'll never make a good vehicle again.
They were also designed to be easily serviced by the owner for the occasional times that it was needed.
For anything leased through GSA there are forced rotations. Forgot how many miles, but most of the fleet was post 2019
Poon reportedly pointed to automated tools lacking the training and expertise of veteran technicians - many of whom he said had left the company before their knowledge could be used to improve its tech.
Yikes I’d be looking for another role ASAP. Unfortunately this engineers are not in the UAW union
Still shows you how eager they are to ruin our livelihoods as soon as possible. I hate how complacent we are to this threat
No wonder their trucks and SUVs look like slop.
Language models don't know how to engineer trucks? Who knew?!
Hope they all got nice pay raises for the hassle.
And within 3-5 years they'll try a full AI production cycle again, because of "improvements and lessons learned" ....
at least they're getting paid obscene amount of money to make these moronic decisions, at least there's that
Philosophical question... do you apply for one of those positions? I mean, on the one hand, they got bit hard so maybe they'll hold off on doing something like this again for a while, they're desperate so they'll likely make you jump through fewer hoops to hire and they'll appreciate your contributions more, and you'd be in a better position to negotiates good pay. On the other hand, their c-suite are clearly morons, they clearly don't understand how software works, they're probably gonna over-hire to correct their mistakes and then cull the employee population later, and the culture is probably going to be shit between the jaded senior staff and the influx of newbies.
Rookie numbers for the recalls and pointless spending Ford; gotta get those numbers up.
Sure they make mistakes but I think they were the only car company that didn't have to take a bail out in the 2008 crash.
ChatGPT is AWESOME at averaging and producing the average of things that have been done before and rigorously documented online already.
Surely a system designed to regurgitate existing data with some randomization will come up with new solutions for novel problems not in their data set!
I mean, it will spit out something because it is designed to output something. Surely it will all work out!