Normalising by mass is a poor way to assess food's protein content since different foods have greatly different water contents. E.g. beef jerky has much higher protein per 100g than beef largely because it's dried (admittedly, probably also because they use leaner cuts)
I think the AI bubble may have some interesting parallels with the dot com bubble ~25 years ago.
The internet was revolutionary and transformed the global economy. However, most of the internet companies at the time were garbage and were given money because people were blinded by the hype. At the end of the day, we were left with a handful of viable companies that went on to great things and a lot of embarrassed investors
If I know what my data look like, I can choose an order of summation that reduces the error. I wouldn't want the compiler by default to assume associativity and introduce bugs. There's a reason this reordering is disabled by default
Can you explain this 'common sense'? I was under the impression that Tether was in the business of taking USD (with the promise of returning it) and earning interest on that USD without paying any interest on it. If that's true, it sounds like a dream business to me