More like palate destroyer.

Models aren't trained based on what people search though, it's usually done beforehand with a large set of training data (chatGPT might also use the thumbs up/down though for training). It's more likely they're trying to avoid liability and controversy.

The study doesn't say, but I'm wondering if since it's an observational study, they estimated total mg of caffeine per day and divided by 100 to get cups. But it's weird that they specify Italian espresso specifically and you're right that an espresso shot has about 60-65mg so it would be about 1.5 shots per cup.

What does it mean if I have no variants detected? The report says I'm likely to consume less caffeine, which makes me think I would be a slow metabolizer but is that not the case?

Edit: The report says they're treating a cup as 100mg of caffeine from Italian espresso.

It's hard to find an authoritative source, but from googling it seems like a "standard cup" is indeed 8oz of coffee and it contains about 95mg of caffeine.

The FDA also says 8oz but 80-100mg caffeine.

Buy it use it break it fix it...

Yeah, the study also mentions this as a possible factor:

"Moreover, healthier persons are more likely to marry, while less healthy individuals are more likely to either remain single or become separated, divorced, or widowed"

This is just my educated guess from reading the article, but it sounds like there's some fast but simple circuitry that just listens for sounds from the ear and fills a buffer, timestamping each sound as it goes. Then periodically the buffer gets dumped into a larger portion of the brain that recognizes meaning. If the brain had each sound dumped individually in order it would be much less efficient. So this is just an optimization so it can understand more speech faster by batching the sounds? If so, this is kinda like how a computer network batches data into packets instead of sending 1's and 0's one at a time.