naturalgradient
Joined 9 years ago
Joined 9 years ago
I said their reporting on EUROPEAN politics ("politics here") copies points from the far left (e.g. all mass migration is unquestionably good, parties against it must be right wing populists if not racists, etc).
I think their reporting on campus politics, identity politics is also far left, but other than that their stance on Iraq war etc is more Hillary-left than traditional 'left'. It's pointless semantics though, outrage mode is already engaged in this thread and it will probably soon turn into a dumpster fire.
Someone cannot just be wrong or inaccurate, they must be the enemy ('right rant'), and culture wars demand I first clarify I am on 'the right side of the issues' before saying anything. The more objective people think they are, the blinder towards their own bias. Of course I am biased too, but what people engage with in my post is the 'far left' comment on European politics instead of the actual point.
My point was that the NYT engages in culture war because it sells. I can agree with many issues on the NYT but still observe that and be annoyed by it, but that does not matter in tribalistic discourse.
https://www.vox.com/2016/4/21/11451378/smug-american-liberal...
Nothing could be further from the truth. I think the most recent Sarah Jeong controversy and virtually all reporting on migration, feminism, campus politics etc shows this. Mind you this is from a European perspective where I see almost all reporting about politics here as copying off talking points from the far left.
This is the true genius of their marketing though: They are actually as polarized as any other source in the culture war, but market themselves to an audience that likes to think of themselves as rational, objective, sensible.
So surely there must be differentiation on whether any given job or emergency can affect your standard of living significantly.
I would categorically reject any collaborations with FB as an academic in ML.
They complain that Maps at new prices would be more than the cost of their infrastructure, when actually their entire startup revolves around this data, and 5k to be able to use an amazing piece of high tech software that is ahead of the competition is..peanuts.
No matter what other business interests and strategies Google follows, there is no right to using such valuable tech for less than the monthly salary of an engineer. I find this incredible entitled.
No mention of all the ongoing work in learning from demonstrations, or more generally incorporating any off-policy knowledge. Vague speculations about the philosophy of model free learning. Not really worth the read (as someone working in RL).