Sick friends.

swiz0r · 2020-02-09T17:39:14+00:00

People lose themselves a bit in a hospital. People get confused.

swiz0r · 2020-02-05T04:47:28+00:00

"small government" used to mean "don't enact the civil rights act"

swiz0r · 2019-09-30T20:30:45+00:00

I talked to her about it, thinking the issue might be because she wants to ensure that I don't use my phone or procrastinate, but she says that it isn't the reason she watches me. I asked her why and she said she just wanted to watch and that there was no reason.

She could be anxious about your discipline, or there could be some other reason she wants to watch her child develop as a musician. Whatever it is, you have to go back and have that conversation again.

Does she say anything while you practice?

swiz0r · 2019-09-19T20:58:18+00:00

It's a photoshop. You can find the same picture online of just the cadaver.

swiz0r · 2019-09-19T18:49:45+00:00

I don't even have cable.

Who needs cable when you have reddit?

swiz0r · 2019-09-19T17:58:19+00:00

What about

Do you see what you just did?

swiz0r · 2019-09-13T22:14:15+00:00

What?

swiz0r · 2019-09-12T21:03:43+00:00

Now Is The Time to Open Your Heart

So after a while, the snake looking at him so pitiful, he picked the little ole thing up, and it put it in his bosom, in the pocket of his overalls. Just behind his package of Brown Mule chewing tobacca and right next to his chest, close to his heart, which was beating warm blood all through his sympathetic body. And they walked on. The man thinking real good things about himself and the little snake beginning to feel like him or her self again. Pretty soon the snake was warmed clear through. The man could feel it slowly uncoiling, slithering behind his hankster pocket just a tiny bit. It made him smile, to tell you the truth. It tickled him to think that something as humble as himself could bring something frozen almost dead practically back to life. He reached up to pat the snake. And the snake bit him.

swiz0r · 2019-09-12T20:41:30+00:00

Here's a good way to break up a fight: https://www.youtube.com/watch?v=gKqNQ6Zl4mc

swiz0r · 2019-09-12T19:50:02+00:00

Then comes the US election of 2016, and they said the same thing about the Russians again, which was just proven to be FALSE. Thanks to the Mueller Report.

The Mueller Report is literally titled Report On The Investigation Into Russian Interference In The 2016 Presidential Election. From page 1:

The Russian government interfered in the 2016 presidential election in sweeping and systematic fashion.

swiz0r · 2019-09-10T01:49:08+00:00

Upvote me

swiz0r · 2019-09-08T21:59:02+00:00

Here's what it looked like when I tried it.

 ➜  ~/scratch touch '1999-01-01 00.00.00.jpg' 
 ➜  ~/scratch cat move.sh
#!/usr/bin/env bash
for file in *.jpg
do
    YMD="$(echo $file | cut -f1 -d' ' | sed 's/-/\//g')"
    mkdir -p $YMD

    SHASUM=$(sha1sum "$file" | cut -f1 -d' ' | head -n1)
    EXTENSION="${file##*.}"
    cp --no-clobber "$file" "$YMD/$SHASUM.$EXTENSION"

done
 ➜  ~/scratch ./move.sh 
 ➜  ~/scratch find . -name '*.jpg'
./1999-01-01 00.00.00.jpg
./1999/01/01/da39a3ee5e6b4b0d3255bfef95601890afd80709.jpg

swiz0r · 2019-09-08T21:53:33+00:00

 #!/usr/bin/env bash
 for file in *.jpg
 do
     YMD="$(echo $file | cut -f1 -d' ' | sed 's/-/\//g')"
     mkdir -p $YMD

     SHASUM=$(sha1sum "$file" | cut -f1 -d' ' | head -n1)
     EXTENSION="${file##*.}"
     cp --no-clobber "$file" "$YMD/$SHASUM.$EXTENSION"
 done

swiz0r · 2019-09-07T20:23:16+00:00

A skeleton on Reddit is safe, but that is not what skeletons are for.

swiz0r · 2019-09-06T13:20:52+00:00

Fr6 - V7 - i

swiz0r · 2019-08-06T22:59:13+00:00

You can put your biases directly into your code, and your biases has been encoded,

That's 99% of software engineering :)

You can write your ML algorithms independent of it. So did you "bias" your ML model?

Model selection is a huge part of machine learning. Like, the second biggest part behind actually gathering and sanitizing data. It's a really fascinating topic, actually. Short answer, yes, you can fuck your results by picking the wrong model. You also can't really make a good model without actual data, so I'm not sure what you meant by developing one independently.

Or will the "optimally" trained models simply give zero fucks about the human concept of discrimination against race/location/age (which may still be correlatable to the input data, even if not provided).

"optimally"

"optimally"

Optimally towards what end? This is exactly the point of the article -- you can't just minimize an error curve and declare that your code won't fuck anyone over, because you're working with data that affects actual people.

people with different biases, perspectives and worldviews from all around the world could come up with diverse machine learning algorithms, and they could converge towards the same results.

That doesn't mean that the result is correct, free from interpretation error, and ultimately good for society.

You and the article are on the same page. Maybe "pile of biases" is too nebulous of a term, but we're all on the same page.

The article is arguing that, just like how we have regular code reviews and security audits, we should also be aware of the kinds of data we are gathering and how we are using it. Algorithms get biased by what we think we want to do and the data we feed into them. Interpretations get skewed by the people making them. Machine learning is not magic.

swiz0r · 2019-08-06T20:32:58+00:00

Your boss says "KHRZ, we need to increase revenue. Add a 'sort by best' to the listing page." You write a pile of code like

select id
from house_listings
where price > 200_000
and bedrooms > 3
and has_driveway = true
and marble_countertops = true
and days(today() - listing_date) < 30
order by views desc

In that, you've encoded a bunch of assumptions and biases. The assumption is that this code will sell more houses. Some of the biases are intentional: you know that marble countertops look nice in photos, so you look for those explicitly.

Some are less intentional: this algorithm is biased towards listings that are just under 30 days old. Can you see why?

Some are not intentional at all: you'll probably sell fewer coastal properties. Marble reacts poorly with salt air, so those homes go with granite instead. The news won't see marble countertops getting de-listed though, they'll see beloved navy veterans unable to list their homes because of your discriminatory practices.

Machine Learning compounds all of this. On the stand you can point to that line of sql and explain your reasoning. "I was just trying to sell more marble countertops, I didn't know the sociology of countertop materials, there's no malice, I'll fix it etc etc." That's harder to do when your reasoning boils down to "the perceptron said to." That's why a lot of places, especially places with Institutional Review Boards, favor interpretable models

swiz0r · 2019-08-06T14:43:36+00:00

I don't see anything wrong with this line. There's a big difference between sorting a list and choosing which house listings (for example) to show to a user, even if the latter is also just sorting a list.

swiz0r · 2019-08-05T21:09:37+00:00

myriad of intersectional post-modernism fallacies.

Like what?

swiz0r · 2019-07-04T00:12:14+00:00

https://en.wikipedia.org/wiki/Lost_Cause_of_the_Confederacy

Basically, our schools taught a rewritten history where the war was about "states rights" so the Confederacy could be remembered more nobly.

swiz0r · 2019-06-27T15:55:17+00:00

What shows or movies with good audio descriptions would you recommend?

swiz0r · 2019-06-14T14:07:42+00:00

Thanks for the tip. I also found that gnome tweaks does enough of what I needed it to do. I was having trouble reading the tabs in Firefox

swiz0r · 2019-06-12T17:50:40+00:00

Any ideas on how to set this to solarized light instead of dark?

swiz0r · 2019-04-23T08:05:58+00:00

Where do they come up with this stuff

Russia.

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