It might be astonishing, but this is fundamentally how word embedding works, by modelling the co-distribution of words/ expressions. You know the "nudge, nudge, you know what I mean" Python sketch? Try appending "if you know what I mean" to the end of random sentences.
Funny. I've used triumphant LoTR music once to overcome my terrible fear of heights. I was climbing mount Kathadin with friends (including passing along "Knife Edge "), and the humming/singing out loud this music (+imagining a chopper-camera shooting from above) has completely effaced my fear. Possibly being called "Legolas" during middle-school and high-school helped, too.
It was to be expected-- Someone had already created a "hierarchy Tags" addon: https://ankiweb.net/shared/info/1089921461
I haven't used it myself, but a comment there said "Simple, nice, and easy."
This is an idea I had only toyed with but have yet to try in practice, but one can create meta-cards for non-data learning. Instead of creating cards that demand an answer, create cards that demand a drill, or a drill with a specific success outcome. I find it a bit hard to find "the best example" for this, perhaps because the spectrum of learnable-skills is so broad, but just for the sake of illustration: if you're learning to paint, you can have "draw a still object", "draw a portrait", "practice color", "prac...
This is not quite a "tech-tree" dependency structure, but you can use tags to stratify your cards and always review them in sequence from basic to dependent (i.e., first clear out the "basic" cards, then "intermediate", then "expert"). Even if the grouping is arbitrary, I think you can go a long way with it. If your data is expected to be very large and/or have a predictable structure, you can always go for a "multiple-pyramid" structure, i.e, have "fruits basic" < "fruits advanced" &...
Just to comment on the last bit: It seems odd to me that you stress the "3 weeks BARE minimum" and the "crossing point at 3 to 6 months" as a con, while you have used SRS for three years. Given that SRS is used for retention, and assuming that 6 months is the "crossing point", one would think that after three years of consistent SRS use you'd reap a very nice yield.
I know it's a metaphoric language, but it seems additionally ironic that the "BARE minimum" you stress equals to your frequency of exams, while you disfav...
Being new to this whole area, I can't say I have preference for anything, and I cannot imagine how any programming paradigm is related to its capabilities and potential. Where I stand I rather be given a (paradigmatic, if you will) direction, rather than recommended a specific programming language given a programming paradigm of choice. But as I understand, what you say is that if one opts for going for Haskell, he'd be better off going for F# instead?
I was thinking in a similar direction. From a biological perspective, computation seems to be a costly activity --- if you just think of the metabolic demand the brain puts on the human being. I assumed that it is very different with computer, however. I thought that the main cost of computation for computers, nowadays, is in size, rather than energy. I might be wrong, but I assumed that even with laptops the monitor is a significant battery drainer in comparison to the actual computer. (sorry, mainly thinking out loud. I better read this and related posts more carefully. I'm glad to see the restriction on computations per amount of time, which I thought was unbounded here).
PS.
I. Probably doesn't add much to the consideration of language of choice, but I thought I might as well as add it: In my conceptualization of the game, the constitution of each agent is more than the "behavioral sheet" --- there are properties of several types that constitute an interface with the environment, and affect the way the agent comes into interaction with other individuals and the environment at large (mainly the former).
II. I'm speaking here of learning programming languages as if it was as easy as buying eggs at the corner store,...
Hey,
Sounds very cool, promising and enticing. I do have a technical question for you (or anybody else, naturally).
I was wondering how "intentional" the choice of Haskell was? Was it chosen mainly because it seemed the best fitting programming language out of all familiar ones, or due to existing knowledge/proficiency at it at the time of formulation of the bot-world idea? How did cost/utility come into play here?
My inquiry is for purely practical, not theoretical purposes--- I’m looking for an advice. In the summer two years ago I was reading a...
I can't comment on the size (so LW is growing?), but I have a tingling memory that long time ago (several years back) people did post LW quotes. Since LW doesn't exist that long I suppose it was the case in its inception. I can't say for sure, but actually Eugine's post seems to suggest that as well; otherwise it wouldn't have been "creeping into". Either way, should be easy to check. I do, too, think it is worthwhile to put LW quotes. I remember (I do!) reading those and being led to read the original articles whence they came.
I suppose there were studies of placebo effect - which I haven't read - but just a thought: Could it be that placebo treatment induces the placebo effect not only by making the patients believe they perceive a positive effect, but by actually changing their behavior? Of course it depends on the treated problem, but placebo surely raises the patients' expectation of getting better and thus raises their motivation to help themselves (according to the procrastination equation).
Do you know about any research that relates this to the "anti-" case of this? That is, how expectancy, "value", delay and impulsiveness affects evaluation of risk and potential future punishment and how it affects one's behavior under that evaluation?
I wonder how this can be applied to action one might perform that is shunned by society, such as crime. Perhaps it's basically the same case (we incorporate the risk and adverse effects to the value and expectancy), but it seems that there are two stages in such cases which make it more com...
I wish to expand on your conclusions and look for their limits. It might be more relevant to the "Go Try Things" post, but it being a kind of series of posts, I suppose it makes sense most to comment here.
So, data collection is good. But aside of getting one better at some area in which one tries to reach expertise or improvement, data collection is also good for discovering almost totally new facets of reality, territory that is outside the map's margins.
Data collection bring to light not only known unknowns, but unknown unknowns too. There's a ...
Wouldn't doing that (instead of writing up the whole argument in a full text) make you feel as if you've already achieved the materialization of the idea, hence reducing your motivation to write it in the future (which might lead to never actually writing the text)?
A "class for fun" implies that grade shouldn't matter to the participants, so, allegedly, the two different grading schemes wouldn't affect the participants' behavior.
But things (such as motivation) change as a person who did pottery for fun at home, goes to do pottery for fun in a class, don't they?
Assuming you're familiar with both, which one do you think works better? RescueTime or ManicTime?
Anki also allows to tag cards, so instead of splitting your data bases to different decks, you can split them to different tags on a single deck. This way you can review them all together, as well as review specific tags if the need rises.
So it's not really about the laws themselves (being "mindless" or "mind") as it's the context in which the guessing/researching is done. Guessing a a natural law known by a person in front of you is different than discovering it anew by yourself.
What's the difference between one's mind laws and mindless "natural" laws?
It seems to me you use wrong wording. In contrary to the epistemic rationalist, the instrumental rationalist does not "gain" any "utility" from changing his beliefs. He is gaining utility from changing his action. Since he can either prepare or not prepare for a meteoritic catastrophe and not "half prepare", I think the numbers you should choose are 0 and 1 and not 0 and 0.5. I'm not entirely sure what different numbers it will yield, but I think it's worth mentioning.
I admit that I've learned about the KL divergence just now and through the wiki-link, and that my math in general is not so profound. But as it's not about calculation but about the reasoning behind the calculation, I suppose I can have my word:
The wiki-entry mentions that
Typically P represents the "true" distribution of data, observations, or a precise calculated theoretical distribution. The measure Q typically represents a theory, model, description, or approximation of P.
So P here is 10^-18 and Q is either 0 or 0.5.
What your epistemic ra...
Regarding the bar charts. Understanding that 100 nokens were sampled at each radius and supposing that at least some of the output was mutually exclusive, how come both themes, "group membership" and "group nonmembership" have full bars on the low radii?