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
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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 mean, Ford was so low quality, how can it get worse?
And then it got worse.
US automaker makes poor business decisions which leads to 4th government bailout in less than 2 decades.
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
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.
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
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"
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
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.
Language models don't know how to engineer trucks? Who knew?!
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.
Rookie numbers for the recalls and pointless spending Ford; gotta get those numbers up.
Hope they all got nice pay raises for the hassle.
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.
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.
at least they're getting paid obscene amount of money to make these moronic decisions, at least there's that
And within 3-5 years they'll try a full AI production cycle again, because of "improvements and lessons learned" ....
ChatGPT is AWESOME at averaging and producing the average of things that have been done before and rigorously documented online already.