My "source" on education being a tool of Hegemony is Micheal Foucault, not exactly a right-wing propagandist. The right has a tendency to take arguments from others and twist them to accomplish the opposite.
zbyte64
joined 2 years ago
He's fucking Grok, isn't he?
Inviting them to have a seat at the table can send them into a tailspin. It's kind of funny how they pretend to be the adults in the room while doing so.
Cheney being a war criminal isn't a matter of opinion. Same goes for human rights.
Stuff like this reminds me why they lose to fascists. When they like to say the proto-fascists are practicing politics correctly it really waters down their message and what is at stake.
It's funny because I have the same tired feeling of dragging unimaginative people to a better future. But the good news is if you aren't against us then you are for us. There's room at the table for you.
It is silly to think we can't learn lessons on how Mamdani won because he hasn't exercised the office yet. This isn't about how you did that right thing and voted against fascism that one time. This is about winning power, and if that is too idealist for you then I don't know what else to say other than I'll see you on the campaign trail.
Sounds like something the CEO of Nestle would say.
Education doesn't make people act independently, often to the contrary.
Historically, the goal of education was to have a productive labor force. And even if our education system was to teach independence, it cannot deliver the ability, that comes from economic and social liberation.
My point is that we haven't had good candidates as evidence by their losing. When we actually do have a good candidate that wins we are suddenly the idealists that aren't practical, as if winning power (in spite of both political establishments) is something other than an act of pragmatism.
I think that downplays how good of a candidate Mamdani was and how differently he ran his campaign. It also blinds us to new lessons.
Let me see if I got this right: Because use cases for LLMs have to be resilient to hallucinations, large data centers will fall out of favor for smaller, cheaper deployments at the cost of accuracy. And once you have a business that is categorizing relevant data, you will gradually move away from black box LLMs and towards ML on the edge to cut costs and also at the cost of accuracy.