Thanks for the response! And absolutely a fair point about reading the article. I wasn't really trying to look for ways that the vaccines do damage, given that the risks of covid seem to clearly be higher. Just wanted to check if I understood the implication correctly. Thanks again!
Yeah, for context I'm fully vaccinated and not trying to create distrust of the mRNA vaccines. Just curious because that seems like a pretty bad thing. It makes sense that this would only happen while the spike proteins are actually present in your body. Thanks for the response!
I didn't read the article, but my very basic understanding of mRNA vaccines is that they cause your own cells to produce the spike protein so that your immune system can learn to attack it without actually having the virus present. Does this finding imply that the vaccine would also inhibit DNA damage repair? Or is it more like, in combination with the virus, the spike protein inhibits DNA repair?
What plotting library were you using? The "first plot of the day" is a bit slow for me, but certainly it doesn't take minutes. I just opened a fresh repl and "using PyPlot" took a little over 5 seconds, and the first plot took around 1.2 seconds. Plots after that are around 0.001 seconds.
Granted, if you were plotting in a small script, I guess every run would take about 7 seconds to get the plotting functionality.
I haven't read the article, but there have been a number of games that I found personally helpful. It's not that they're helpful because they provide an escape from real life and its problems. Instead, they can be a source of meaningful dialogue about common problems, and they can help us to see that we are not isolated and that our troubles are not as impossibly unique as they might feel. After a quick skim, I haven't played any of the games in the article, but two games that made a fairly large impact for me were Celeste and OwlBoy.
I'm a little confused by this. If the chromecast didn't know my wifi password, how could it connect to google to receive any information / configuration? Mostly commenting because I want to know if there's some cool mechanism for getting around that! Thanks!
Just guessing, but it could be that they are claiming that 200 million unique videos are recommended on a given day, with the number of unique videos being a proxy for how diverse they are. Perhaps before some of their recent changes, the number of unique videos was smaller. (Who can say for sure, though)
I whole-heartedly agree. This is one of the reasons I think that education about AI and ML is important (and, on the flip side, I also think that it wouldn't hurt to educate AI and ML researchers/engineers about humanist issues so that they can participate in non-technical debate).
I don't mean to be super negative, but because of the general tone early in the article and some sloppy notation, I never finished reading. I think the goal of an article like this should be to give a high-level intuitive explanation for some technical result, rather than sounding smart or complicated.
First, it is a little weird to me to talk about "old-school ML" as learning maps from inputs to hidden features. That seems neither old, nor very representative of the field of Machine Learning as a whole. It's also weird to say that RBMs and other deep learning algorithms are formulated using classical statistical mechanics. Moreover, implying that this scary-sounding formulation is the reason they are interesting seems like an attempt at sounding smart. Typically there are many ways to motivate and derive different algorithms, and it is /useful/ to acknowledge the multiple viewpoints because they often give different insights.
Second, the section about flow maps and fixed points seems to make a mess out of the notation by either being unclear or disagreeing with standard notation. What is meant by the notation "f(X) -> X"? Presumably this means something like f is a function that maps elements of the set X to elements in the set X. More standard notation for this would be something like "f: X -> X". Perhaps it means that the image of the set X under the function f is again the set X. But does that require that f be a surjective function? Confusingly, it also looks like the function f might be required to be the identity function, but given the context this is clearly not the intended interpretation.
When defining the fixed point, it seems that it would be more natural to say that x is a fixed point of f if f(x) = x. That is, x is fixed or unmoved by the function f. It turns out that for contractions (and some other functions, too), that the sequence f(x), f(f(x)), f(f(f(x))), and so on is guaranteed to converge to a unique fixed point of f. The notation f^n typically refers to the function f being applied n times, which is not the usage in the article. In the article, f^1, f^2, and so on are all identical copies of the function f. Using the standard notation, the definition of f_infty would be f_infty(x) = lim_{n -> infty} f^n(x). And, in the case of a contraction, the Banach fixed point theorem gives that f_infty is well-defined, and there exists a unique x_fix in X so that f_infty(x) = x_fix for all x in X (i.e., iterating f repeatedly converges to a unique fixed point x_fix of the function f).
These things do not necessarily mean that the article is uninteresting or uninformative or even technically incorrect. But if the author didn't take the time to make the simple things clear, then I'm not sure that I want to read the rest.