Over the last few years, neural networks have made a breakthrough that can be characterized as a technological singularity. New projects appear almost every week, and each new one is impressive.
Students write theses and diplomas that are indistinguishable from the real thing, simply by using algorithms. There are already applications that solve any tests. They can do anything.
While a few years ago I thought about the fate of taxi drivers who would soon be replaced by cars with autopilot, the fate of those "left behind by progress" quickly crept up on us, the creative class who will never be replaced, we have to think immediately, right?
You can oversimplify and underestimate the contribution of neural networks to the future, you can sue them for copyright (which they are trying to do), you can try to ban them.
The possible collapse of the Google search engine, which for me is synonymous with the Internet, is still ahead of us. If it's not needed, why do anything else?
The media uses algorithms to generate texts, there is already a service that generates humanoid tweets to gain popularity on Twitter itself.
Over the course of a day, a month, a year, a person's text cannot be distinguished from the neural network at all. Here we add algorithms for generating videos, photos, voices and generally all content can be generated with a few buttons without human intervention.
It's time to learn how to dig potatoes and work with plasterboard, neural networks will definitely not be able to do this job yet.
This is the end.
Depressing, right?
I myself am regularly thrown around the statement that "neural networks will leave us all jobless" and it is easy to succumb to this feeling.
But. In fact, I think this moment is still very far away or will not come at all.
Trying to slow down progress is foolish. After all, no one is giving up on the idea of autonomous cars, even though it would threaten one of the most popular professions of humanity - drivers.
Personally, I intend to ride alone as long as possible. And preferably on gasoline. But I digress.
Yes, the amount of content generated will increase exponentially in the near future. But the search results are already clogged with SEO junk, making it VERY difficult to break through and find normal content.
Neural networks will not replace search because they do not have specialized knowledge. A professional may make mistakes, but these are the mistakes of an experienced person who may be wrong but does not do so consciously. Moreover, his articles/videos are checked by an editor, colleagues watch them and everything is corrected.
The neural network and those who will use it to generate content are unlikely to think about it. Here is a fragment of text - by sending it to the website, you need to collect traffic.
This will simply reduce the quality of the materials and the level of expertise. And there will simply be even more demand for human content.
There will be (and are already appearing) 100% new professions. Those who know how to correctly set the parameters of a neural network and get normal results from it. If you think it's easy, try any image generating service to get exactly what you need. I guarantee that after an hour of trying, you will remember your favorite designer and order work from him.
No one will definitely block neural networks. Banning such algorithms means falling behind those who encourage their development.
But education won't be easy. I have huge reservations about education. Not the basic "how much does 2+2 cost" format, but what starts next.
If a neural network can write a diploma that the professor accepts and gives a satisfactory grade, the problem is not the student's, but the system's.
So why do we need this diploma at all? The purpose of much of education is not to teach, but to enable the student to follow a pattern. Not to teach thinking and problem solving, but to answer questions correctly.
I'm still shaking from the theoretical part of my driving test. Have you ever gone through this? Crazy with a month of asking questions that you end up asking automatically, almost without reading the text. And questions whose purpose is not to test knowledge, but to confuse and force you to make a mistake. How much theory does the average driver know after 6-12 months? No one passes the theory test, but everyone drives without any problems.
In my opinion, neural networks will become one of the most difficult challenges for education, because they can easily break the current "repeat, remember" paradigm.
Make a report using a neural network? Easy. Write an essay? Basic. All kinds of homework are already done by algorithms. Maybe the problem is not in the algorithm, but in the tasks themselves? Maybe the purpose of the essay is not to write 5 A4 sheets, but to analyze the topic and then tell it and draw conclusions?
I remember the culture shock at university when students couldn't repeat their own essays. They read stupidly from a piece of paper and the teachers were fine. And I am extremely grateful to my teachers who did not even allow me to read the report. Come on, explain in your own words.
Neural networks can simplify the generation of ideas, basic texts and meanings. Some specialists may actually feel strong competition and lose their job. Simply because in the current "food chain" they occupied the position of "taxi driver". Those who can think and look a little further will simply use this tool in their work.
Do you need a separate person who has been studying medicine for 10 years to tell you that you have a cold and need to take vitamins? The same therapist who regularly sees dozens of patients a day? Or maybe it will be done by an algorithm analyzing the tests, and the doctor will deal with really complex cases and use the algorithm's conclusions to work?
I am convinced that content values opinion, knowledge and personal point of view. If neural networks learn to do this, it will be full-fledged artificial intelligence, and then everyone...
The labor market and education definitely expect global changes. Steam engines were once feared and strikes were organized against them due to job losses. As a result, the scientific and technological revolution has changed the world and made it a more pleasant place to live.
If we delve into futurism, then the specter of an unconditional basic income and a change in the approach to work and working time appears.
One thing I can say for sure: You and I will not be left without a job, and life will become more pleasant.
Summary: Simple tasks will be easier to complete. Isn't that happiness?
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