1,757 karma · joined November 11, 2014
If you want, we can change the moral insinuations. "The bully hit himself in the face." No, the poor kid being teased hit the bully in the face.
And in fact, rhetorical tools like that make it easier for people who disagree with the authors stance to discard the author's argument on the whole. "This person either doesn't understand the situation well enough, or is willingly lying to me. Why would I listen to them."
Since the graph is without units, the only relevant of their positions are the signs of the slopes, and that you need a higher price to supply oil at any given quantity (hence the Straight closed" line being higher on the graph).
Am I the only one who finds this disingenuous? It's like saying: "the police's arrival to the bank robbery took someone hostage." The police's arrival may have triggered the hostage taker's actions but it was still their actions. It's like the author let their dislike of Trump get in the way of accuracy.
It's easy enough to argue that the war is a disaster without being misleading about who did what.
https://archive.org/details/the-biology-of-cancer-3rd-editio...
But I would be interested to see how a solar panel covering compares economically to some other, cheaper setup.
I think the most accessible example of Occam’s razor is fitting a line to some points; you can always use a high enough order polynomial to fit the seen points exactly, but a straight line is likely closer to representing the underlying distribution.
Yes, I’m sure the thousands of LLMs running the exact same instructions will all be unique.
But more directly addressing your point, I do think you could easily find a consistent moral stance that thinks taking tweets to train AI is worse than republishing those same tweets on a website. An argument can be made that the person writing those tweets wants to be heard, so republishing the tweet is in line with (your best guess of) what they want. Whereas consumption of the tweet for AI training is less likely to be consistent with the wants of the original author.
I am not sure how to interpret your link, though. It doesn't measure accuracy on it's own, and doesn't include a number for precision between the two units.
https://www.reuters.com/technology/us-agency-probes-risks-fo...
Both BeiDou and GPS are supposed to be limited to 10m precision for civilians.
But, going down a rabbit hole, I found that BeiDou is way more accurate than 10m--3.6m and 2.6m outside and inside the Asia-Pacific region, respectively [1]. And that's with the most simple algorithm. It goes down to ~2.5m using dual-frequencies to account for atmospheric error.
I think it's fairly well accepted that the high obesity rates are caused by the shifting American diet. Yes it's more available than the 1950s (although I suspect not terribly so), but the effect it has on public health has been a nightmare.