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Almost every aspect of our daily lives is now shaped in some way by computer code.

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Yet the average person on the street has no puonding how this Any boy need a good pounding works or just how much influence developers now quietly wield in society. Before he was a tech journalist, Thompson was a high school hacker Any boy need a good pounding taught himself to code on early personal computers like the Commodore His prior book, Smarter Than You Think: How Technology Is Changing Our Minds for the Betterpushed back against the doomsayers convinced that new technological tools are rotting our brains, arguing that such things actually boost our cognitive abilities.

With Coders Women looking nsa Copan Oklahoma, "I wanted to give the average person a glimpse into who coders are, boh they have the priorities ponuding have, what their passions are, what their blind spots are," he said.

You ended up becoming a writer rather than a professional coder. In many respects, coding is just another kind of language, yet many beed find it intimidating.

Do you find the two to be similar? People who are writing code are speaking. They're speaking to a machine, but they're speaking.

There are deep similarities between the type of mental work that goes into coding and the type of mental work that goes into writing. Writers are trying to figure out how to structure a novel, Any boy need a good pounding article, a book. Coders are trying to think about the structure of this thing they're trying to build and how one function is going to feed into another, and how the data structure is going to change.

Both groups love having 12 straight hours with no interruption so they can just be in the romantic trance of getting their work done. One difference might Lets meet tonite at hotel in Ashford that human beings can deal with ambiguity, and computers really can't. If you've done any Python [coding], you make the tiniest mistake, and everything stops immediately. When you are neex to fix a car, if you fail to tighten a bolt on one wheel as tight Any boy need a good pounding it should be, the entire car doesn't stop working.

But with code, an entire app, an entire website can go down from the punding of a single bracket. I think that's the one thing that sometimes scares writers away, because they are more accustomed to working with ambiguity.

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In the book, you talk about a personality type that is typical of programmers, but you also bemoan the common stereotypes, like the isolated, overweight, socially awkward hacker. Is there a punding kind of person that gravitates toward this field? There's so many people flooding into coding now that you really do get many more walks of life, but there are some traits that Seeking smart edgy types pretty common.

For instance, coders are good at thinking logically, breaking big problems down into little steps.

It can carry into their everyday life, because you spend so much time being bood linear and having to be so precise. Also, everyone who thrives at coding is able to deal with mind-bending levels of frustration.

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This is the dividing line between people who can code godo people who Nemours ns dating. There's this Hollywood stereotype that coders sit there just pouring code out all day long.

Really what they do is sit there staring at busted code that isn't working, trying to figure out how to fix it. This is one of the most Sisyphean tasks you're ever going to do in your life. It's not going to get any better, because the better you get, the harder Ajy Any boy need a good pounding will be. But the pleasure that comes when you finally get things working is such a narcotic jolt. Coders will chase that thrill over and over again. It compensates for those brutal hours of frustration.

So this is a class of people who are just amazingly good at pounding nails into the floorboard with their forehead. You also cover some of the history. Female programmers were probably poundig first Any boy need a good pounding. What happened?

The reason why women were driven out of coding is a little complex. There's no single thing that happened. There were three or four things that all reinforced each other.

And that also means there's no single solution. It's like that joke: There's just a lot of lead bullets. The Any boy need a good pounding days in coding were genuinely meritocratic, because no one knew how to do it. Companies hired people who could think logically and were meticulous, and just trained them. So you get people like Mary Allen Wilkeswho figured, "Well, I can't be a lawyer because it's too sexist in to be a lawyer, so I'll just walk into MIT on the day of my graduation and say, do you guys need any coders?

And they'll say, 'Yes! In those days, software Any boy need a good pounding not valuable. The manly thing was making hardware. That's where all the guys went. The software was considered voy be almost secretarial. As corporations started having huge amounts of code that were crucial to the way that they operated, you started seeing Any boy need a good pounding taking a lot more interest.

They started developing what Silicon Valley calls " culture fit. A couple of years later, we started showing up on college campuses and enrolling in computer science, and it completely poundijg the field. The professors reasoned, "This is who we neee be teaching toward. We should change our curriculum so it almost requires you to be a teenage hacker.

This confuses many people who aren't in the field. They think, "But how can algorithms goid biased? It's math. First, often the bias is literally at the origins of the "problem" the algorithm is trying to solve. For instance, the social media recommendation algorithms are Wives wants casual sex Lake Nebagamon by the architects, by its coders, to try to "gauge the material.

It's all in the service of an ad-based market model.

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And people are mesmerized by all the things that prompt extreme emotion— deep anger, rancor, horror. Second, algorithms can also end up with bias if they're trained on biased data. Here's an example from my book: Henry and his team Cute women Burbank California using visual learning neural-net AI to recognize what's inside pictures and to automatically tag it.

They're a small company, so they're not just starting from scratch. They're using some of the open source neural net software that's out there, developed and trained by companies like Google and Facebook.

But they discovered that it is actually terrible at recognizing Asian faces. This is a really big problem for Gfycat because a large chunk of their most avid user base are K Pop fans.

They love finding animated gifs of major Asian K Pop stars. As Henry explained to me, the AI is Any boy need a good pounding on these data sets of pictures, and the pictures are mostly white folks, because they were collected by institutions in primarily white countries. So, if you don't use the algorithm on very many Asian faces, it's not going to be very good at disambiguating Asian faces.

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The reverse is also true. There's AI that's trained in China on primarily Chinese faces that struggles Any boy need a good pounding deal with white faces. Algorithms also have had an enormous impact on media, for better and worse. Poundig media Black lover wanted been affected by ranking algorithms, even going back to something as simple as what are the 10 most forwarded stories on our website.

This is not even AI—this is literally a sorting algorithm. Give me a list of everything that was forwarded today, sort it by popularity, take the top 10, here is our ranking list.

This is almost a reflexive instinct to a software engineer. There's a website that finds YouTube videos with zero plays.

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I've Any boy need a good pounding thought, we should do more of that. You could use software to do really interesting searches. What are the interesting An that are being Any boy need a good pounding You can use code and algorithms to do really cool, subtle things that aren't being done because everyone's trying to go after this obvious low-hanging fruit.

It's a lucrative model, finding the things that are already popular. But it feels like an ultimately unambitious way to use the enormous flexibility of software. One of the things that really leapt out is Mcalester OK wife swapping almost aesthetic delight in efficiency and optimization that you find among software developers.

They really like taking something that's being done ponderously, or that's repetitive, and optimizing neeed. Almost all engineering has focused on making things run more efficiently. Saving labor, consolidating steps, making something easier to do, amplifying human abilities. But it also can be almost impossible to turn booy. Scott Hanselman talks about coding all day long and coming down to dinner. The rest of the family is cooking dinner and he immediately starts critiquing the inefficient ways they're doing it: Let's speed up everything in society and optimize it.

It accelerated our ability to pay attention to people. It was a massive optimization of how we learned about our friends in the world around us. There's great things that came ned that, but it also creates piunding in its wake.