Get Ready to Relearn How to Use the Internet


This year has brought a lot of innovation in artificial intelligence, which I have tried to achieve, but too many people still do not understand what is coming. I often hear comments like “It’s graphics, graphic designers will work on it” or “GPT-3 is cool, it will be easier to cheat on the board”. And then they end up saying, “But it won’t change my life.”

This view is likely to be proven wrong — and soon, as AI becomes part of our entire data architecture. Learn how to use the internet again.

The core architecture of the consumer internet has not changed much in the last 10 years. Facebook, Google and Twitter are recognized versions of their predecessors. It retains the central function of the browser. You see that he has risen in rank, but it hardly represents a major change in the way things are done.

Change is coming. Consider Twitter, which I use every morning to gather information about the world. Less than two years from now, maybe I’ll be talking at my computer, sketching out my topics of interest, and some version of AI will send me a Twitter remix, readable and tailored to my needs.

AI will also be not only docile but active. Maybe he will tell me, “Today you really need to read about Russia and the changes in the UK government.” Or I will say, “More serendipity today, I will love,” and that will be given.

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I might even ask “what are my friends?” and I would receive useful services in the media. Or I could ask the AI ​​to provide content in various foreign languages, all translated flawlessly. You don’t use Google more often than not, you ask your question to an AI and you get an answer, in the form of an audio exchange if you will. If your friends are particularly interested in certain video clips or new stories, they would be more likely to send them to you.

In short, many of today’s internet services will be mediated by AI. This will basically create a new user type.

It is likely that the underlying services will disappear. People still Google things, and people read and write Facebook pages. But more will move directly to the AI ​​aggregator. This dynamic has already happened: When was the last time you asked Google for directions? They are online, of course, but if you’re like me, you just use Google maps and GPS directly. You have access to the information aggregator.

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Or consider blogs that can be dated between 2001 and 2012. Then Twitter and Facebook became aggregators of blog content. There are still many blogs, but many access them directly through aggregators. And that process is about to take another step – because today’s aggregators themselves will be aggregated and managed by super-smart forms of machine intelligence.

The world of ideas will be turned upside down. Many public intellectuals are committed to promoting Twitter and other social media, and reducing opportunities. It will be a new technique — self-promoting AI — of an as yet unknown nature.

It remains to be seen how AIs select and trust the underlying content, and what types of files users use (with or without author images?). As long as users choose to respond, the extra messages will still be thrown away. What do you think the pool will bring trouble to the project reference, if they are to be added which are essentially short notes with no express transposition to be added? In general, those who are happy with a little trust content, such as the editors of Wikipedia, can achieve authority.

And what about the competition in AI itself? Dominant AI is more likely to underlie the sources, to ensure that content generation continues and to maintain a healthy information ecosystem to harvest it. In a more competitive AI sector, on the other hand, there is a risk of cannibalizing the content but not rebuilding it with due confidence, as the problem could kick in as a free rider.

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Another question is, who will reap the benefits of these innovations – the new AI companies, the older tech companies, or internet users? It’s too early to know, but some analysts are buzzing about new AI companies.

Of course, this is just one opinion. If you disagree, in a few years you will be able to find new AI machines that think.

More from Bloomberg Opinion:

• Google AI Videos point to machine-generated Future: Parmy Olson

• Discovery of drugs is faster. Thanks to AI: Lisa Jarvis

• AI Panned My Screenplay. Hollywood?: Trung Phan

This column does not necessarily reflect the opinion of the editorial board or Bloomberg LP and 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. It’s a Force of Talent: How to Identify Energizers, Creatives, and Winners Around the World.

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