I wonder what is the contextualization of the OP's preference of the "Palantir as a data/power broker" narrative to that of "Palantir as a highly profitable staffing agency".
Re the "Manhattan project in 1944" argument - I am very cautious about the "modulo engineering scaling" carve-out -- unlike the uranium manufacturing pipeline of World War 2, that involved massively scaling up a known process, on the face of it there's no uncontroversial process/architecture to scale up in this case.
On the face of it, even relatively "point-target" goals of this kind could take many decades if at all; GaN for blue diodes come in mind as an example of a field that was stuck for a generation -- until it wasn't.
Is the question at hand about balancing local building authorization with the government's intent to encourage a specific kind of national infrastructure businesses?
This seems to be supported by this quote:
> Putting arbitrary deadlines on state, local, and Tribal governments to start and finish complicated permit reviews...
I'm not an American but I am alarmed at the recent tendency for bad-faith rule making. However - the above sounds in reasonably good faith - is that indeed the case or am I missing some angle?
There's correlation all right, but is there causation?
A lot of folks I know regard mechanical watches as a type of jewelry, a high value item that's not intended for the everyday.
I concur that that popularity of mechanical watches is on the rise, but having a cool mechanical piece on in the evening does not preclude having a digital watch at all other times.
I find merit with the core point as well the delivery.
I wish it was more commonly accepted that choosing not to act is effectively a stand against one's own value system in favor of the value systems of those who do act.
I think Python's centrality is a consequence of its original purpose as a language intended for instruction.
Yeah, some of its design decisions required immense cost and time to overcome to make for viable production solutions. However as it turns out, however suboptimal it is a language, this is quite made up by the presence of a huge workforce that's decently qualified to wield it.
To the extent a random person's evidence on the Internet amounts to proof:
From people at Facebook circa 2018, I know that end user privacy was addressed at multiple checkpoints -- onboarding, the UI of all systems that could theoretically access PII, war stories about senior people being fired due to them marginally misunderstanding the policy, etc.
Note that these friends did not belong to WhatsApp, which was at that time a rather separate suborg.