You forgot multi-spectral. That means single hires images for a lot of frequency ranges, which is better than a single color image, which merges together all frequencies at once.
In the end the accuracy of detections, false-positives, false-negatives wins. And this not comparable to this certain car company which refuses to use proper sensors. we also do infrared, 3d pointclouds to get the angle at each pixel, and thermal imaging.
another neighbor of us is doing real-time imaging for face detection, which is the industry leader world-wide. They can install a lot of cheap cams in football stadiums and give you a list of all 80.000 people, when they have access to the government passport/driver license photo database. they have. but they cannot detect virus infections as we can do. nor bacterial infections. only if they do something illegal. who threw a bengal fire or started a fight.
I sometimes see content on social media encouraging people to sound more native or improve their accent. But IMO it's perfectly ok to have an accent, as long as the speech meets some baseline of intelligibility. (So Victor needs to work on "long" but not "days".) I've even come across people who are trying to mimick a native accent but lose intelligibility, where they'd sound better with their foreign accent. (An example I've seen is a native Spanish speaker trying to imitate the American accent's intervocalic T and D, and I don't understand them. A Spanish /t/ or /d/ would be different from most English language accents, but be way more understandable.)
2. OpenAI has admitted that GPT‑4o showed “sycophancy” traits and has since rolled them back (see https://openai.com/index/sycophancy-in-gpt-4o/).