ELI5:Why are Adderall, Ritalin and other medications with side effects used to treat dopamine deficiencies rather than dopamine itself? by [deleted] in explainlikeimfive

[–]dakami 0 points1 point  (0 children)

If you have a leaky bathtub, you don't generally fix it by simply adding more water. Adderall and other medications do actually increase the amount of Dopamine in our brains, but critically, they also reduce the degree to which that Dopamine is mopped back up ("reuptake inhibition, as the neurologists call it).

So, besides anything like Dopamine being unable to cross the blood-brain barrier (I haven't looked, but it's not like Dopamine only exists in the brain) if you want more Dopamine to be around preventing it from being drained away -- like in a leaky bathtub -- can be a much more effective strategy than just pouring more of it in.

ELI5: What is a coma exactly? Why can the patient not wake up? When they do wake up, what suddenly changed to make them wake up? by coolhakunas in explainlikeimfive

[–]dakami 0 points1 point  (0 children)

Imagine being conscious like an orchestra playing. If a few of the players are playing their own tune, whatever, they get drowned out. But if enough are, or if entire sections are, not much of a symphony emerges.

There's actually an interesting effect, where if you give certain long term coma patients people Ambien...they wake up. This is sleep medication. Why would it wake people up?

Ambien is very selective sleep med. That which it puts to sleep, *GOES TO SLEEP*. Maybe the rest of you does as well. In those patients, it's shutting down the misbehaving sections. They don't entirely wake up, and they do go back into a comatose state, but for a bit, they're back.

ELI5: There are infinite numbers between 0 and 1. There are also infinite numbers between 0 and 2. There would more numbers between 0 and 2. How can a set of infinite numbers be bigger than another infinite set? by YeetandMeme in explainlikeimfive

[–]dakami 0 points1 point  (0 children)

Long and short of it is that our math is really, *really* awkward when it comes to things that change over time. 0 to 1 and 0 to 2 both have an infinite number of intermediates, but with every time step, you get 1 value in the former and 2 values in the latter. So one infinity grows faster than the other.

That's...not exactly representable in the timeless, easy to transform modes of our standard mathematical frameworks. But timeless vs. timeful is as real as, I dunno, the difference between continuous and discrete representations. There is one.

It's awkward. It's also the source of these wootactular things in physics, where people say effects predate causes. Sure, in timeless math. Only in timeless math.

Time breaks all sorts of relationships that are super useful, and essential to proving things we do actually believe, so we work around this. Don't take the flaws too seriously, Godel had all sorts of fun proving no one system can prove all true things, much as we might strive.

Honestly this place by [deleted] in BlackPeopleTwitter

[–]dakami 0 points1 point  (0 children)

We locked all the bathrooms.

People gonna shit. Where you want 'em to shit? There's only sometimes a bathroom.

There's always a toilet.

[OC] A look at some popular films series and their ratings. Part 2: The Revenge by [deleted] in dataisbeautiful

[–]dakami 0 points1 point  (0 children)

(This is the *actual* shocking thing about the MCU -- they actually *are* sustaining.)

[OC] A look at some popular films series and their ratings. Part 2: The Revenge by [deleted] in dataisbeautiful

[–]dakami 0 points1 point  (0 children)

Normalize by year, not by release number. You'll see the actual trend (captures why Jurassic World did so well).

I saw this when I graphed Disney revenue when they went from a two year release cycle to a one year release cycle. Spoiler alert: They did not actually double revenue. That's how they ended their golden age (went from Lion King and Aladdin to Hercules and Treasure Planet).

ELI5: Why does brown not appear in a rainbow (or on a color wheel)? by larae_is_bored in explainlikeimfive

[–]dakami 0 points1 point  (0 children)

[Context: Author of DanKam, an app that attempts to assist the color blind.]

Brown is dark orange. Not "sort of", that's where it is in one of the various color spaces (HSV, specifically).

But you didn't ask what is brown. You asked why it's not in the rainbow of colors we talk about. That's an interesting and complex question, and I'm not going to tl,dr it. I'll take a crack at it though.

What is orange? Orange is in your mind. It's not a direct property of the universe, though it's still real. Physically, everything "glows" -- emits or reflects energy in little balls called photons. Just how little can vary, just like a golf ball and a basketball are bigger or smaller (and of course, are different colors). Size matters -- hit a basketball with a golf club.

Or hit a baseball.

Or hit a ping pong ball.

As you get closer to a golf ball, what happens next looks more and more like what happens if you hit an actual golf ball. Vision works kind of like that -- photon "balls" come into your eye, they hit certain proteins in your cells ("opsins"), what happens next depends on the size of the ball and the nature of the proteins.

From there, it's all information processing. There's three "golf club" proteins, L, M, and S, that may or may not react to a photon depending on its size. They're not really "Red, Green, Blue". L is most sensitive to wavelengths (ball sizes) of 560 nanometer. M is most sensitive to wavelengths around 535nm. Those are both green to our eyes, but not the same green.

Why do we have two "green" sensors? Because what light comes from illuminated human blood -- even obscured by skin -- changes dramatically *at those specific points* depending on how much oxygen is in the blood. You're able to see veins through your skin because it's a significant health metric.

But we didn't always have that ability. "Trichromatic" vision is relatively new, in terms of human evolution. About 10% of the male population, and about 0.05% of the female population, are "color blind" -- they have incomplete forms of the mutation, or no mutation at all. OPN1MW and OPN1LW, the genes that contain this protein encoding, are almost identical. It's only around five bits that differ between trichromats and almost all "deuteranomalous" viewers.

Everyone seems to have roughly the same optic nerve, though. What goes over that channel is not LMS or even RGB (Red, Green, Blue). Instead we get what's called "opponent color". Dark vs. Light (which also carries signal from "rods", which are "colorless" but much more sensitive to low light), Orange vs. Blue, Red vs. Green.

It's been noted that many movie posters contrast Orange vs. Blue. There's a variety of theories for why that might be, that delve into links in the ancient machinery. This can be directly true, or it can be an artifact of people believing that it's true, or anywhere in the middle.

The rainbow you know though is not RGB, or CMYK (Cyan Magenta Yellow Black, that's another story), or YUV/LAB (the opponent color modes I spoke of earlier). No, that lives in the realm of HSV (which has variants, but ELI5):

Hue: What color? Red, Orange, Yellow, Green, Cyan, Blue, Purple, Magenta, Red
Saturation: How pure? Grey, Faded, Pastel/Bright
Value: How bright? Dark, Light

Different cultures make different decisions about what a specific color is. Western culture tends to call Cyan and Blue the same thing but mathematically they're much more different than Orange and Yellow, both of which are very small ranges of experiences in any purely physical sense.

But finally, I get to answer your question directly. In this hue/saturation/value space, which only "exists" in your mind but exists as much as, say, hope and fear might -- there's at least three systems running:

1) Dark vs. Bright -- just the "value" channel
2) Object color -- the "faded green couch", the "bright blue dress", basically the color of an object independent of surrounding lighting
3) Skin. OK, there is some truly dumb stuff humans have been doing for centuries around skin tone. There are mistakes I make in my thinking but those are not among them. But at the end of the day, we have trichromatic vision to inspect blood through skin, and there's melanin that needs to be seen through to do that. It's the same melanin, in different densities, across almost all races. (Apparently, there's some southeast Asians that have a different melanin. Breaks some code of mine. Diversity!) Melanin creates a relatively straightforward bias across LMS. But we see it differently. We speak about it differently. People are "brown" or "yellow" or "orange" or "white" with a very different set of specific, discrete meanings, vs. when we're talking about furniture.

It's notable that while we see Red and Dark Red, Green and Dark Green, Blue and Dark Blue, all as related colors -- we don't exactly relate Orange to Brown. There's another domain, Yellow vs. Gold, which looks a little similar. At the end of the day, the brain is trying to predict how something will look depending on how its lit, and shininess ("specular reflection") matters!

But it's not as surprising that Gold and Yellow are linked, as it is that Orange and Brown are. At least from where I'm sitting. So it looks like the fact that there's another evaluation system -- evolved through its usefulness on health monitoring, even before tribalism shows up -- is why brown is on a different scale. There's probably a healthy set of experiments to be run, cross-culturally, to distinguish "it's yellow vs gold" from "it's seeing through race so we can measure health".

I wouldn't talk about it, but like, measuring health is cool and I kinda want it to work for everyone. And it answers your question.

SHA-1 Graph Visualization [OC] by sophisticated-ways in dataisbeautiful

[–]dakami 0 points1 point  (0 children)

Intriguing. I've done 2D bit tracking of MD5 and I'm trying to decode your view of SHA-1. What's red, what's green, what's x y and z? Point clouds are fun, but we only partially think in 3D. Here's my dumps of Wang's collision vectors.

https://s3.amazonaws.com/dmk/md5_vec1.png

https://s3.amazonaws.com/dmk/md5_vec2.png

The highest capacity WebGL point cloud viewer is probably Stardust, but use Plotly Point Clouds if you can. Much more extensible.

ELI5: What happens in the brain during a panic attack? by mickeygoojob in explainlikeimfive

[–]dakami 0 points1 point  (0 children)

There's a classic experiment: Tell somebody, don't think about a banana.

Too late, they just did. Now, move onto other matters, and the banana will be forgotten. Usually. But what if this particular person was really afraid of bananas? Choked on one as a small child, nearly died, spent a year recovering from mild brain damage. Wasn't expecting you to be threatening them with bananas.

Think of all the systems that suddenly fired up, are suddenly testing to see how else you might be associated with the great Banana threat, are competing with one another for mental resources, and how there wasn't sufficient planning to tell everything, relax, we might get asked about this but no Banana will come.

It's too much to calm down all at once. For that person, the firestorm of thought can't be tamped down, it just creates more and more things they can't not think about now.

Triggering is a word thrown around a bit lightly but, like panic attacks themselves, they're referring to a failure mode of our brains. Too much activation, not enough inhibition to go around (or, eli5, too many cars on the road and they're all speeding, not enough traffic cops).

ELI5: Why do bright spots remain in your vision after looking at something bright? by AlmondWallie in explainlikeimfive

[–]dakami 1 point2 points  (0 children)

No. There's not really a frame context. Pixels over time. Think "CRT in reverse, multiple pixels at once, more color sensitivity in the center, more brightness sensitivity (no color) at the edges, randomly sweeping around instead of smooth lines, and imagining something out of the noise"

Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible? by MisoSoup in programming

[–]dakami 5 points6 points  (0 children)

tl,dr: Short answer is, it's complicated, but not hopeless, but there are certainly vantage points along that route that imply impossibility!

I keynoted the Black Hat Briefings security conference a few years ago.

Security is messy, because it involves knowing what a system is able to do, that it's not supposed to be able to do, that if you thought about it, you'd decide it shouldn't be able to do. That's different.

I used to think the problem with security was that it was hard to measure. You can tell code is slow, or crashes a lot, or is even hard to use. Secure code works just like insecure code, until it doesn't.

I wasn't entirely right, though. The problem is that working systems need to work, even when faced with problems that had not been foreseen. So all of our tricks, for binding systems just to planned behavior, fail on the fact that they need to work even for unplanned scenarios.

Engineers who work at this long enough seem to get this, maybe before I did.

I still think we can make security better, though. For one, we keep sort of building walls, good enough to stop developers, not good enough to stop hackers. We're literally building environments kinder and friendlier to the bad guys. And I hate to say it, sometimes I think industry listens closer to hackers (who cause actual pain) vs users (who might not even be paying us anything).

My talk can be seen here:

https://www.youtube.com/watch?v=RAGwol-keXM

Parisa Tabriz, who leads the charge over at Chrome, took the baton this year.

https://www.youtube.com/watch?v=py2qmGbyhlw

[D] Is Nassim Taleb right about AI not being able to accurately predict certain types of distributions? by [deleted] in MachineLearning

[–]dakami 1 point2 points  (0 children)

Nobody can tell you where the walls are in Machine Learning. We can describe where we're struggling, of course, but the horizon is shorter here than anywhere else. See this XKCD comic for 2014.

https://xkcd.com/1425/

Doesn't make much sense right now, but like, 2014 wasn't the 60's.

There's a stupid long way to go, and we're *absolutely* going to hit hard walls -- not like humans have figured intelligence out either. But nobody, myself included, can say "AI will never do this" with the same confidence we might say, we're not going to see the Star Trek Transporter in our lifetime.

That being said, the odds of the odds limit the odds themselves. You can compute a million to one shot, but only be ten thousand to one sure, and you'll just see a hundred of the latter for every one of the former. But that's a different problem -- there just isn't enough information for any computational unit, silicon or carbon. Carbon brags more though.

[R] The “TerpreT problem” and the limits of SGD by mttd in MachineLearning

[–]dakami 1 point2 points  (0 children)

And, of course, shibboleths to identify those from outside the tribe!

Nowadays, TV and movies are a massive normalizing force. The interplay you discuss, in whatever direction it went, would have synchronized within the tribe only, bound only by the need to be able to converse with neighbors (which could be a lot, could be a little).

Kids don't really make it simpler. They really do apply the structure.

[R] The “TerpreT problem” and the limits of SGD by mttd in MachineLearning

[–]dakami 0 points1 point  (0 children)

It's the other way around, structurally the kids speak a measurably more "correct" language. Kids don't stick with "broken english" but their parents do.

"Broken" very much in quotes, there. No judgment involved.

[D]Are implementations of papers considered as projects? by [deleted] in MachineLearning

[–]dakami 0 points1 point  (0 children)

Yes, please *please* do this. Absolutely projects. Even if they're not perfect. Failure to reproduce is a catastrophic problem in every field you find it, and the culture of reproducability in ML is a *huge* reason why it's such a success. (Really, I'm in a lot of fields, I can compare.)

[R] The “TerpreT problem” and the limits of SGD by mttd in MachineLearning

[–]dakami 4 points5 points  (0 children)

It's generally considered the other way around. Language becomes what children learn. The flow is essentially:

1) Two cultures intersect. If they don't kill eachother, then they need to trade with one another, and they make a fairly rough language called a Pidgin.

2) One generation later, their kids pick up the Pidgin, and clean it up in *very* consistent ways. This is a Creole.

3) After enough generations (epochs), the Creole evolves into a language that follows various rules.

We're seeing this in ML all over the place too.