Depends where you are, for instance in the US yes you need to subtract it, if in the UK then no you don't (as has already been mentioned its already been subtracted).when counting carbs for Diabetes , do you subtract the fiber ?
Thanks for that clarification. It never dawned on me that it would be different.Depends where you are, for instance in the US yes you need to subtract it, if in the UK then no you don't (as has already been mentioned its already been subtracted).
For other countries you would need to find out whether it has or hasnt already
I agree on ChatGPT I have been testing it since it came out. I write code and in that arena it wrote entire programs in minutes that would have taken me day. I always trust but verify. Thanks for the tip on the spelling, I will keep that in mind in the future.The hint is in the spelling.
You need to subtract the fiber (US spelling). You do not need to subtract fibre (UK spelling).
Talking to a friend who is a journalist, you need to be careful with ChatGPT. It does get one or two facts wrong.
Purely out of curiosity (not to submit to a newspaper), my friend tried writing an article on he latest ranking for a local school using ChatGOT, It said the schools was "Outstanding" when it was not.
Not just the fibre/carbs issue: they also use different measurement systems for blood glucose values, compared to the UK, and often omit the units used, being usually unaware that many other countries don't do what the US does.Thanks for that clarification. It never dawned on me that it would be different.
A bit off topic , but my understanding is that any artificial intelligence gizmo can only be as accurate/complete as the original data it's fed and so works with....I agree on ChatGPT I have been testing it since it came out. I write code and in that arena it wrote entire programs in minutes that would have taken me day. I always trust but verify. Thanks for the tip on the spelling, I will keep that in mind in the future.
AKA "garbage in garbage out", abbreviated to, and as I learned it: "GIGO". and which as far as I'm concerned doesn't necessarily just apply to computer data....On the subject of artificial intelligence, everyone used to have total faith in computers, to give accurate answers as they could not be wrong. The expression to explain obvious mistakes was.
s%^t in, s%^T out.
If the original programmed data was wrong, the calculation would be right, but the answer totally wrong.
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