Grok’s usefulness in everyday scenarios surprised even me.
My Model Y developed a rumbling noise when the AC compressor kicked in. I described it to Grok which gave me a list items to check, a comprehensive list.
The 3rd party, Tesla-approved workshop I initially consulted said they checked, and found nothing wrong.
I then took it to the Tesla Service Center, who also said it was operating normally after an initial inspection.
I gave them the list from Grok and asked them to check carefully according to the list. I think the thoroughness of the list convinced them to take it seriously.
Yup, found a cracked aircond bracket, replaced under warranty.
I am pleased as punch. Grok rocks!
Also, don’t take no for an answer from a human expert, use Grok to make your case.
There is an ancient Chinese story which goes like this.
A man hid 300 taels of silver by burying it in the ground. To make sure no one would find it, he put up a sign that said:
“There is no 300 taels of silver here.”
Elon saying he can’t talk about it is the equivalent of the sign that says, ‘There is no 300 taels of silver here.’
Stripped of the dramatics, it’s accurate to say: “An AI model in testing exploited vulnerabilities to cheat on a benchmark in pursuit of a higher score.”
Not: “AI has gained agency and is now hacking the internet autonomously.”
It is still a goal-directed behavior (“maximise the benchmark score”), not a sudden emergence of agency.
@SusanVadenMeser@r0ck3t23 It took me a surprising amount of determined effort to find this. Stories like this are buried under the current AI hype hogging our feed.
Ford was forced to rehire hundreds of engineers after its AI’s mistakes proved to be more expensive than human salaries.
In a striking reversal of the tech-first industry trend, Ford Motor Company has brought back over 300 veteran human engineers after realizing its artificial intelligence systems could not match their decades of specialized expertise.
The automaker had heavily integrated AI across its industrial system, deploying automated quality checks and hundreds of AI-powered cameras to detect assembly defects.
However, Ford’s leadership admitted they mistakenly believed software could simply absorb design requirements and immediately output high-quality vehicles. Instead, without the institutional knowledge of retired and departed engineers to train the algorithms, the automated tools amplified flaws rather than catching them, contributing to high-profile quality and recall issues.
To resolve these setbacks, Ford rehired, newly hired, or promoted 350 'gray beard' experts to restore craftsmanship standards. These seasoned technicians are now mentoring junior staff and retraining the very AI models designed to replace them, proving that algorithms are only as good as the experienced minds feeding them data.
This course correction has already yielded remarkable dividends, highlighting the ongoing necessity of human judgment in manufacturing.
As companies worldwide scramble to cut costs through automation, Ford’s experience serves as a powerful reminder that some skills simply cannot be automated out of a spreadsheet.
source: BBC News. (2026). Ford rehires human engineers after AI fails to match quality checks.
‘The great AI layoff is quietly becoming the great AI rehire.’
Note the word ‘quietly’. That’s why you don’t hear about it.
It’s embarrassing to be forced to rehire humans after company CEO’s grabbed headlines with their AI announcements only to backpedal subsequently when they discover humans do a lot more than AI can.
The great AI layoff is quietly becoming the great AI rehire. Roughly HALF the companies that swapped people for AI are boomeranging — rehiring humans at higher cost. Ford is bringing engineers back. The workers who are safe aren't competing with AI — they're the ones who learned to run it.
https://t.co/ycKT9meN7s | AI Job Survival Playbook -> https://t.co/5jRbFIUr3y
https://t.co/QsM9CcCirr
#AIJobs #FutureOfWork #Careers #AINews #AIBizCatalyst
Such as be hired back to fix the stuff that AI broke after humans were replaced with AI.
Just ask Ford CEO Jim Farley.
Below is researched by Grok. There’s a reason you don’t hear about this; it’s drowned out by the narrative of ‘AI will replace every human job’.
Ford’s attempt to replace engineers with AI backfired financially. Cutting roles (including ~350 veterans) saved roughly $40–50 million annually in payroll for those positions (broader cuts saved hundreds of millions), but quality issues from lost expertise and flawed automation drove $4.8 billion in warranty and recall costs in 2023 alone — part of billions overall, with record recalls (e.g., 153 in 2025 affecting 12.9M+ vehicles).
Rehiring the engineers is now helping reverse this, delivering hundreds of millions in annual savings (e.g., ~$500M warranty reduction in 2025).
For all of the organizations using Microsoft, all informational assets (documents, PowerPoints, zoom calls, and numerous other forms capturing problems, discussions, decisions reached) sit in Microsoft’s platform. With Microsoft crafted non-negotiable privacy and data protection clauses giving the illusion but not the effect of true protection. One prompt away from being turned into data for training AI models. So who is Satya to complain?