Get Ready to Relearn How to Use the Internet


This year has brought new things in artificial intelligence, which I have tried to keep up with, but many people do not appreciate what the future brings. I often hear comments like, “Those are great graphics, graphic designers should work with them,” or, “GPT-3 is cool, it’s easier to manipulate on posters.” .Then they finish by saying: “But it won’t change my life.”

This misconception is likely to be proven wrong – and soon, as AI is about to change our entire information processing system. You need to learn how to use the internet again.

The basic design of a consumer website hasn’t changed much in the last 10 years. Facebook, Google and Twitter have seen their first impressions. The web browser keeps its important role. The video has increased significantly, but it does not represent a significant change in how things work.

Change is coming. Consider Twitter, which I use every morning to gather information about the world. In less than two years from now, I’ll probably be talking to my computer, explaining my topics of interest, and the power of AI will spit back a Twitter remix for me, in a readable format that suits my needs. .

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AI will not only respond but act. Maybe tell me, “Today you should read about Russia and the changes in the UK government.” Or I might say, “Please today,” and that wish is granted.

I can ask, “What are my friends doing?” and I have a good collection of web services and media services. Or I can ask the AI ​​for information in other languages, which are not translated incorrectly. You don’t often use Google, you just ask your question to the AI ​​and you get an answer, in voice mode for your trip if you want. If your friends like certain videos or articles from news stories, they may be sent to you.

In short, many important internet services will be affected by AI. This will create a new kind of user experience.

Basic services may not be lost. People will continue to Google things, and people will read and write on their Facebook pages. But the move is more direct to the AI ​​aggregator. This idea is starting: When was the last time you asked Google for directions? They’re online, of course, but if you’re like me, you use Google Maps and GPS directly. You have moved to the data aggregator.

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Or consider blogs, which may have risen between 2001 and 2012. Then Twitter and Facebook became the aggregators of blog content. There are many blogs, but many people access them directly through aggregators. Now that process is happening again – because the current compilers are compiled and organized, by the machine’s intelligent methods.

The world of ideas will turn upside down. Many public intellectuals are promoting themselves on Twitter and other social media, but those opportunities are dwindling. There will be a new skill – announce yourself to the AI ​​- which is invisible.

It remains to be seen how the AIs select and rate the content below, and what types of packages users prefer (with images or the author?). As users like the answer, new intermediates will be removed. Why should a think tank bother to publish a policy statement, if it is to be composed of short notes without being seen? In general, those who are happy to publish content with little credit, such as Wikipedia editors, can gain influence.

And what about competition within AI itself? A powerful AI is more likely to tell the basics, ensure continuous development and maintain a healthy knowledge ecosystem to harvest. In a more competitive AI sector, by contrast, there is the danger of cannibalizing the information but not being satisfied with the right credit, because the free-wheeling problem can start.

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The other question is who will reap the benefits from these innovations – the new AI companies, the big old tech companies, or the internet users? It’s impossible to see, but some analysts are confused about the new AI teams.

Of course, this is just a human opinion. If you don’t agree, in a few years you will be able to ask new AI engineers what they think.

More from Bloomberg Opinion:

• Google’s AI videos point to a machine-made future: Parmy Olson

• Medicines are almost always available. Thanks to AI: Lisa Jarvis

• AI Answered My Screenplay. Can He Break Hollywood?: Trung Phan

This column does not reflect the views of the editorial board or Bloomberg LP or its owners.

Tyler Cowen is a Bloomberg Opinion columnist. He is a professor of economics at George Mason University and writes for the Marginal Revolution blog. He is the author of “Talent: How to Identify Energizers, Creatives, and Achievers Around the World.”

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