There were more than one system proven to "cheat" through biased training materials.
One model used to tell duck and chicken apart because it was trained with pictures of ducks in the water and chicken on a sandy ground, if I remember correctly.
Since multiple medical image recognition systems are in development, I can't imagine they're all ~~this faulty~~ trained with unsuitable materials.
mustbe3to20signs
I'm fully aware that those are different machine learning models but instead of focussing on LLMs with only limited use for mankind, advancing on Image Recognition models would have been much better.
AI models can outmatch most oncologists and radiologists in recognition of early tumor stages in MRI and CT scans.
Further developing this strength could lead to earlier diagnosis with less-invasive methods saving not only countless live and prolonging the remaining quality life time for the individual but also save a shit ton of money.
He is taking a time out with a friend in an involuntary hotel room.
Even at this price point isn't it more economic and sustainable to emulate a RISC-V device with already owned hardware. Especially since it's so low powered.
Remember the Cars movies? That's the dystopia leading to a man made world inhabited by sentient Cars /s
You can always try out some premade blocking lists as someone who knows way better than both of us has probably already encountered the same problem.
You can also try to use wildcards with your blocking list as some ad and tracking companies add random alphanumeric characters to their URLs to circumvent blocking.
For optics only:
Use uBlock Origin, choose the object picker and remove the banner.
For real blocking: Use uBlock Origin and block the Google domains as suggested in another answer.
If NewPipe and it's forks are not for you, you could try Grayjay.