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OP to me sounds more authentic and seems to have inside information. After a quick search I found a publication actually mentioning about these tools: Ford pr
by achow 3mo ago
OP to me sounds more authentic and seems to have inside information.
After a quick search I found a publication actually mentioning about these tools:
Ford previously told Business Insider that it had developed two bespoke AI-enhanced scanning tools that helped validate that cars were properly assembled before rolling off the lot. The tools, called AiTriz and MAIVs, both debuted in 2024. https://autos.yahoo.com/policy-and-environment/articles/ford-says-ai-alone-couldnt-172018472.html https://autos.yahoo.com/policy-and-environment/articles/ford...
And after doing cursory research on these tools, it is clear they are rudimentary (as compared to SOTA LLMs), they were essentially smartphone mounted on stands and doing visual checks using the camera - so OP could be very right.
https://www.businessinsider.com/ford-uses-ai-cameras-in-factories-prevent-recalls-costly-rework-2025-8 https://www.businessinsider.com/ford-uses-ai-cameras-in-fact...
- kamranjon 3mo agoA fine-tuned classifier purpose fit for a specific task can easily outperform a SOTA LLM on more modest hardware and often makes a lot more sense.
- orlp 3mo agoIf your data is sufficiently noisy or your relationship sufficiently simple a linear regression will outperform a SOTA LLM.
- scotty79 3mo agoCalculator is a great analogy for that kind of specialized models. Way better than humans (and other things) at a specific task. Can't replace humans with it. LLMs are not calculators.
- aprilthird2021 3mo agoHow can it be inside information if it's in a yahoo article? And why does OP alleging they are talking about technology A not B and you finding out they use technology A (while we all know they also use technology B as well) make OP more likely to be right? Very fallacious thinking