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Once again the hype of artificial intelligence has broken in the news. This time under the name of GPT-3, the successor of GPT-2 (of course), a model that is so large and so powerful that is making people think we finally made AGI, artificial general intelligence, possible (AGI is the kind of stuff that charlatans like Ben Goertzel keep claiming since a decade already). For those who are new to the topic, GPT-2 was a model in the NLP (Natural Language Processing) field of research that can generate text from an input sample. Basically, given a bunch of words or a structured sentence in English or another language, it will continue generating text that is consistent with the input. However, the way such a model is trained is not magic nor mysterious at all.

A conversation I had with one of my teachers in ninth grade still comes back to me occasionally. We were discussing how to interact with people, and how to do so without coming off as an arrogant asshole. This was certainly an issue that warranted discussing. She knew I liked programming, and suggested approaching it as a problem that needed solving. At some point, she suggested the business jargon of "solutions", having heard that from somebody in the tech industry.

Sign in to report inappropriate content. In this video I'm telling you why AI is not taking over our jobs.

Artificial intelligence isn't just helping you work more effectively... it can help you find work, too. Source{d} is running a job service that matches programmers with employers by using a "deep neural network" to scan open source code for relevant qualities. And it's not just about understanding whether or not you can write well in a given language, either. The AI can even look for coding styles that match the methods of a given company, so you may land a position simply by fitting in more gracefully than anyone else. Of course, the approach doesn't rely exclusively on algorithms.