dfdydx

5 ms·

1.
by dfdydx 10d ago
Yet buildings from the 20s and 30s, after the apparent death of all skilled craftsmen made it impossible, used elaborate ornament eg art deco.
2.
by dfdydx 15d ago
It's +4°C (from the average global temperature). The glacier itself won't be at 4°C.
3.
by dfdydx 16d ago
This isn't a rebuttal of any of your point but to give a precision, the City of Paris is absurdly small, most of the Paris Area is "suburbs". The US equivalent would be if NYC was only Manhattan, and places like Brooklyn were
4.
by dfdydx 18d ago
There are two different things: - was item X in the training data - did the inclusion of X in the training data lead to Y I understand why the second is hard, but why is the first one hard?
5.
by dfdydx 18d ago
Well you could search for elements similar to the proof / problem in the training data, even if it's de-identified, right? OpenAI can probably do better than Ctrl-f "Navier Stokes".
6.
by dfdydx 20d ago
I don't understand the one country vs all of Europe - given a fixed population, being united in a single country surely makes everything a bit more efficient than being split in many small countries? India is much bigger than "all
7.
by dfdydx 21d ago
I'd wager they're not binary (absent/present) issues but have many dimensions and a continuum of possible values and thus "climate change makes this problem worse or different" is something new. Random example: htt
8.
by dfdydx 21d ago
Aren't those "other problems" somewhat affected by climate change though?
9.
by dfdydx 21d ago
What was the fossil fuel industry plan to massively shrink the fossil fuel industry exactly?
10.
by dfdydx 23d ago
Where was it meant to grow up?
11.
by dfdydx 24d ago
Are number sequences a language?
12.
by dfdydx 24d ago
I guess it depends were you live, but in $HOMECOUNTRY, politicians also talk about wage levels (esp. their evolution vs inflation), etc.
13.
by dfdydx 24d ago
The ILO definition is comparable across countries
14.
by dfdydx 24d ago
Yes, but they're models of _language_ - words in, words out. The fact that they're embedded to vectors does not change this.
15.
by dfdydx 24d ago
Where do you live? Most countries use labour force surveys, it's orthogonal to registration to unemployment agencies.
16.
by dfdydx 24d ago
I don't understand the issue with saying that someone who is employed is ... employed. If the claim is that a single number (the unemployment rate) does not capture all the high dimensional features of society & work, then well of
17.
by dfdydx 25d ago
Not all transformers are _language_ models - the sequences of tokens don't have to be sequences of words.
18.
by dfdydx 1mo ago
Wasn't much of the population too poor to buy most stuff, back in the day? It seems to have worked out fine for, say, European Aristocrats c. 1400s-1700s.
19.
by dfdydx 2mo ago
One big difference I observed between the US and $HOMECOUNTRY is that US colleges require a lot of courses with little credit, so a normal college year is N courses x K credits per courses, N large, K small. In $HOMECOUNTRY it is typically
20.
by dfdydx 2mo ago
Wouldn't that just change the shape of the pareto frontier? It stops at some point (when marginal utility becomes negative) - but this is not special, they typically stop at 0 as well.