The founder would only lose $100M if they both (A) had no personal tax liability in their own jurisdiction and (B) their jurisdiction lacks a double-taxation agreement with the US (such that tax paid in US defrays tax liability at home).
It is quite possible that it was tax neutral for them personally.
Cayman Islands has other costs and risks - depending upon your context.
The AI training data sets are also expensive... The cost is especially hard to estimate for data sets that are internal to businesses like Google. Especially if the model needs to be refreshed to deal with recent data.
I presume historical internal datasets remain high value, since they might be cleaner (no slop) or maybe unavailable (copyright takedowns) and companies are getting better at hiding their data from spidering.
We are taught that schooling level is related to intelligence, then we internalise that concept, then we make silly assumptions based on that concept.
Plenty of highly intelligent people don't get educated because they see through the farce, or they decide that being submissive to the system is bad, or they test poorly (e.g. dyslexic), or their intelligence has found better opportunities.
Higher education does not make you more intelligent. Nor is it a good filter/measure of intelligence. Too many people chase it for status.
I always remember one very smart lady skiting to me about aiming for B grades and manipulating lecturers since she only needed a degree to pass HR requirements. I wasn't that smart.
I try to understand my successful friends that left school at 15. Unfortunately that is a biased sample of people without higher education: they are very intelligent, effective and hard-working.
It is being trialed to prevent muscle weakness and some of those patients will have arthritis and they can be assessed for statistical improvement.
Same thing happened with GLP1
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