“Mistakenly, we thought that by just introducing artificial intelligence and adjusting the design requirements that we had, that that would produce a high-quality product,” said Charles Poon, VP of vehicle hardware engineering, in a briefing this week with reporters.
Time for another edition of “stupid or liar”
“Mistakenly, we thought that by just introducing artificial intelligence and adjusting the design requirements that we had, that that would produce a high-quality product,” said Charles Poon, VP of vehicle hardware engineering
ROFL that was not a mistake. They all knew what would happen.
yup, they just got caught doing it.
“We’re moving from that find-and-fix mentality to preventing issues before they occur,” […]
Funny that the introduction of AI in software development generally means a shift into the other direction. As John Ousterhout called it, “debugging a system into existence”.
Can’t blame AI for the fact that I know of at least 2 Ford transit vans whose turbo blew within 6 months 5 years ago, and a ranger with oil leaks
The only thing keeping ford in business here in Australia (other than the mustang), are the yobbos who want to believe Chy-na is producing bad cars still.
They’ve been producing crap for decades
They set the gas line like 3" above the turbo exhaust on the first Gen escape apparently not the 1st Gen but yeah (that doesn’t even have a turbo 🤦🏼♀️)
Can’t blame AI for the fact that I know of at least 2 Ford transit vans whose turbo blew within 6 months 5 years ago, and a ranger with oil leaks
I made an interesting observation - I see small oil leaks more frequently than when I made my driving license in 1988. In both cases, living in an European suburb. No idea why … perhaps it is because people have more cars and drive less? Or changes in car design and construction?
The ranger with oil leaks I think was burning oil. It needed regular oil refilling until it was fixed.
My jeep is also hot garbage too
Years ago I worked at an ISP tgat went through a merger. They decided they were going to outsource customer service to another company.
We all got nice severances and 3 months prior notice where we basically didn’t work because all calls were being routed to the new call center and we were just backup. What a great 3 months. We had card tourneys, spun up the companies old game servers and ran minecraft (alpha) on them, lots of fun.
Get laid off, fast forward a year and the outsource company has taken an 86% approval ratimg down to the low 30s.
They hired a lot of us back to completely rebuild the service department. I was tier 1 and got a 76% raise. I imagine others got better.
I bet the executives who made the decision gave themselves a bonus and are still working there despite the monumental blunder.
Executives fail upwards.
HAHAHAHA
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People forget that AI models are great prediction systems, but as such the make very interesting blunders. If you are generating an essay, summarizing a meeting or just making cat memes that level of precision is acceptable. But I don’t see AI replacing human in anything that requires exactitude, predictability or intuition.
they arnt even that great at predicting, just better at summarizing info they gathered, but unable to verify if the sources are actually true or not.
People don’t forget. They simply don’t care.
According to Poon, some of the company’s most experienced personnel left before all of their accumulated knowledge could be fully transferred into Ford’s automated systems. That necessitated bringing back some of those employees to retrain those systems…
See this, nothing was learned by these slop-shits. Their take away wasn’t humans-with-experience > than slop-bots. It was, unfortunately, ‘we didn’t extract enough knowledge from the humans that helped build our company before tossing as many humans away as possible. Once we’ve extracted enough, we’ll try again.’
Fuck you poon and co.
even if they can “put all the knowledge” in the LLM, its unlikely the thing would even be able to use it effectively without the same engineers anyways.
Funny how the capitalist narrative is that the CEO types “deserve” all they get because they worked hard and “built the company”, but employee’s that’ve been equally there for it’s hardship and growth, actually with their hands in the mud, actually have all the practical knowledge, yet are only on an income, are tossed aside at the nearest convenience because somebody smelled a bit more money.
Some of them really can’t be arsed to give back the community and systems that allowed them to flourish in the first place can they.
Locust swarm.
Sometimes I feel so blessed working for somebody that actually values people.
Let’s hope the humans learned their lesson and won’t teach the systems.
The point the grandparent comment is making is that there is no amount of teaching that will turn an LLM into a top engineer. The technology just isn’t there yet, not until OpenAI replaces all their own engineers.
And they’re going to fire Charles Poon for fucking this up, right?
Mr.Poon is known for fucking things…
So they fired the executives responsible, right?
fire her for being caught for not OBFUSCATING THE lay offs as something else.
Lol. Probably got bonuses then celebrated for identifying the issue and fixing it.
No matter what, the parasites in the big club always fail upwards.
*Underpaying someone else to fix it.
Can we start replacing executives with AI? Big money savings there, and you don’t even need a particularly good model
The CEOs already have and are getting paid to copy paste responses.
I’d settle for regular old I
All CEOs do is mindlessly follow trends; perfect use case for AI.
Could probably get the job done with a half-decent flowchart, really.
Executives make some major mistakes but never seem to be held accountable.
Probably invested more in AI.
Mistakenly, we thought that by just introducing artificial intelligence and adjusting the design requirements that we had, that that would produce a high-quality product
That’s so low IQ, like saying “Mistakenly, we thought that by just introducing a lawn mower and adjust the landscaping requirements, that that would produce a high quality lawn.”
Hopefully those employees said, “Sure, I’ll come back, but my salary requirement is 50% more than you were paying me.”
It would be great if all the workers would agree on this collectively, rather than just one offs.
I always thought it was a joke until it happened to friends of mine. Massive layoffs, they were experts in one specific technology, they came back as consultants for a few years with a doubled salary. They were fired again later, but with a lot more money so it was worth it.
In the current job market, you know it was the other way round.
VP should be fired.
Seems like we’re entering the “find out” phase…
We definitely are in some ways, but I don’t think this applies. Just the past month I’ve seen several articles about companies doing real work on scaling back AI use, which is good. But a bigger number are still fully invested and everyone who has any say about it have such an extreme AI psychosis that the companies, and possibly themselves, won’t survive.
If only…
Firing a large group of people and re-hiring a subset at reduced rates is a standard business practice used to keep wages down. This wasn’t a mistake in policy, it was a clumsy execution.
Or perhaps a little bit of both: an inelegant way to handle a mistake.
