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Help wanted!

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Dear Reader,

Unfortunately, I have had very little time to write articles during the past few months. Therefore, I am looking for somebody interested in writing articles for texblog. I am not looking for an expert LaTeX user, but someone with a genuine interest in learning more about the language as well as writing about it. After all, this is an educational blog. Ideally, you regularly use LaTeX for your studies and/or work.

 
What I would expect

  • Original articles on LaTeX-related topics
  • You would have to be willing to read package documentations, user forums as well as to try things out on your own
  • Articles would have to be written in a “scientific style”. That means the content should be in a clean and concise format, with links to outside resources and in your own words (no copy-pasting)
  • In most cases, articles contain text and some code examples
  • You would come up with your own topics that have not previously been covered on this site
  • Most articles are fairly basic, but I am open if somebody prefers to write on more advanced topics
  • Ideally, you would write articles regularly (weekly or monthly)
  • You have a very good command of English
  • Typically, it would take between 2 and 4 hours to write a thoroughly researched article, depending on its length and how familiar you are with the topic

 
What you can expect

  • Articles are published under your name
  • You can learn more about LaTeX and writing/publishing in general
  • I can provide feedback on articles
  • You get visibility as well as community interaction/feedback. The level highly depends on the topic
  • For each articles published on texblog, I can pay a small compensation

If this sounds like something you are interested in, do get in touch by briefly telling me about yourself and stating your motivation to contribute to texblog.

[contact-form]
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Levitz
15 days ago
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For any LaTeX gods our there.
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Today in fuckloaf news:

jwz
1 Comment and 2 Shares
Somnox, the fuckless fuckloaf.

It's a throbbing kidney pillow with "sounds", "affection" and "over-the-air updates" so you can "surveil" and "dox" yourself while you cuddle!

Previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously.

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Levitz
15 days ago
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I watched the Kickstarter vid and it's actually not that bad. The biggest problem with it is that it's from Delft ;)
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Today in rectal eel news.

jwz
1 Comment and 2 Shares

Chinese doctors remove live eel from constipated man's stomach after folk remedy fails him

The patient told doctors in Guangzhou that he had heard word on the street that his condition could be effectively relieved or even cured by a living eel, the Guangzhou Daily reported on Tuesday.

He was hospitalised last week when the live fish began to wreak havoc on his intestines after he inserted it in his anus, the report said.

One doctor said that when the man arrived at the hospital, his stomach was inflated like an air balloon, causing sharp pain. In surgery they found the animal had broken through the intestines and generated "a mess" in the man's abdominal cavity, "almost killing him", the doctor said.

I can't tell if this is just the same report as this one from 5 years ago with the serial numbers filed off. These Chinese ass-eel stories can be slippery. Hard to get a firm grip on the facts.

    ♬♬ When the fish up your ass
    Inflates your stomach with gas,
    That's a moray. ♬♬

Previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously, previously.

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Levitz
22 days ago
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Shared for all the class puns. You know you love it.
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Fooling neural networks with adversarial objects

4 Comments and 6 Shares

3D printing a turtle that looks like a rifle to a machine, and an espresso baseball

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Levitz
38 days ago
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Turtle guns and baseball espresso...right.
ttencate
38 days ago
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Puts things in perspective.
London, United Kingdom
jlvanderzwan
36 days ago
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2 public comments
MotherHydra
33 days ago
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Good, push back against evil, corporatized AI. I don’t want to see a terminator-style judgment day.
Space City, USA
DMack
38 days ago
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this is great
Victoria, BC

Saturday Morning Breakfast Cereal - Best Life Advice

2 Comments and 9 Shares


Click here to go see the bonus panel!

Hovertext:
There should probably just be an app so you can direct message old wise men atop mountains.

New comic!
Today's News:

Hey Coloradans! We're doing two events - one in Denver, one in Boulder. We'll be talking nerd stuff and signing books. Come see us!

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Levitz
43 days ago
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Voor Job, re:ssc rat park :)
ttencate
45 days ago
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London, United Kingdom
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1 public comment
drchuck
46 days ago
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Hovertext is the best suggestion I've heard all day.
Long Island, NY
weelillad
45 days ago
If the men were really wise, they won't be reachable via the app

Today in CV Dazzle news: making self-driving cars read stop signs as speed limit signs.

jwz
2 Comments and 5 Shares
Robust Physical-World Attacks on Machine Learning Models

Our algorithm can create spatially- constrained perturbations that mimic vandalism or art to reduce the likelihood of detection by a casual observer. We show that adversarial examples generated by RP2 achieve high success rates under various conditions for real road sign recognition by using an evaluation methodology that captures physical world conditions. We physically realized and evaluated two attacks, one that causes a Stop sign to be misclassified as a Speed Limit sign in 100% of the testing conditions, and one that causes a Right Turn sign to be misclassified as either a Stop or Added Lane sign in 100% of the testing conditions.

Previously, previously, previously, previously, previously, previously.

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Levitz
124 days ago
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1 public comment
jimwise
125 days ago
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...
duerig
121 days ago
This makes me think of a machine learning project I heard about from a while back where some military project was trying to get a heuristic that would detect whether a tank was in a picture or not. After passing the initial evaluation with flying colors, it suddenly became extremely erratic on later evaluations. Researchers later figured out that in the initial tests, all the pictures with tanks were on sunny days and all the pictures without were on cloudy days. The algorithm had figured out how to detect clouds and not tanks. And this is the fundamental problem with machine learning. You can never be sure that it is learning what you think it is learning.
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