All he’s saying is that as a subset of the universe, whatever words you want to apply to describe your subjective experience, apply equally to the universe, since you are part of the universe. Not sure what “special” has to do with it
I think this is supposed to be a dig at antivaxxers, I wonder if the author legitimately believes it’s a valid metaphor. Like if I advocated against private prisons and someone said “LOL this person says we should all live outside!”, the leap in logic is equally big
They don't need to know where you are, they just need to know when you checked in/out along with a business identifier. Syncing the data later when you're back online would do this fine.
I checked my history the other day and noticed some businesses missing so there probably are some bugs in the process.
I saw a “dead” comment with the following content, but I think the mods were wrong to delete it. The CCP is accurately described as the Nazis of our time. This is technically relevant to OP’s technical question.
“ The CCP are the Nazis of our time, and currently have border disputes with all of their neighbors. There's an arms race in that region because they won't respect WTO rulings.
Huawei's founder is "former" PLA, which is the CCP's military arm.
Huawei has gutted Western telecom competitors by dumping equipment on the West, which reduces tech job opportunities.
Any Huawei router is one firmware update away from giving the CCP access to your network.”
??? China has border disputes with all its neighbors? No, not even the majority of neighbors. I mean, China has a ton of neighbors. But only a handful (less than half) have disputes, and some of those disputes are quite theoretical.
> Any system that claims to work on that sort of input is almost certainly picking up socio-economic status of different races, or something similar, with no causal predictive power.
I wonder which will have more predictive power, the version where you let the AI do it’s thing or the version where you intervene to correct for things that are almost certainly wrong according to you.
An AI doesn't do "it's thing", it learns with the bias the researcher encoded in the model, and most importantly in this case, with the massive bias of the datasets.
Correcting is just steering a bias from one way to another.
But how do you measure that predictive power? Humans do have to build an evaluation set. And that evaluation set will be biased one way or the other, you cannot just pretend bias does not exist and hope for the best.
> With the first sip of science one becomes an atheist, but at the bottom of the glass God is waiting for you
- some mediocre scientist probably nobody has heard of