Artificial Intelligence (AI) is pretty much everywhere these days, whether we’re talking about manufacturing and production, agriculture, security, virtual assistance, gaming, and more. It’s crystal clear that AI is strongly related to the internet, and it will still be for a long time.
But experts from the Copenhagen Institute for Future Studies (CIFS) look even further. They consider that for the near future, roughly 99 percent of the content existing on the internet will be generated by Artificial Intelligence, according to Futurism.com. To be more precise, Timothy Shoup from CIFS is the one making the claim, and he believes that the scenario will grant a completely revamped face of the internet. You might be surprised at when exactly he believes the AI will take over.
AI will generate most of the internet by 2025 to 2030
By 2025 to 2030 represents the timeframe that Shoup has in mind for his prediction.
Sofie Hvitved, who’s also an expert from CIFS, explained as quoted by Futurism.com:
Earlier this year, OpenAI released DALL-E, which uses a 12-billion-parameter version of GPT-3 to interpret natural language inputs and generate corresponding images,
DALL-E can now create images of realistic objects as well as objects that do not exist in reality.
Artificial Intelligence can even have biological applications. For instance, the technology was used last year to create 3D models of eukaryotic protein interactions. For such an achievement, we can be thankful to an international team of researchers who led other scientists from UT Southwestern and the University of Washington.
Here’s what Qian Cong had to say at that time, who’s a Ph.D., Assistant Professor of the Eugene McDermott Center for Human Growth and Development, as Phys.org quotes:
Our results represent a significant advance in the new era in structural biology in which computation plays a fundamental role.
The doctor also stated, as quoted by the same source:
The work described in our new paper sets the stage for similar studies of the human interactome and could eventually help in developing new treatments for human disease.