Rapid progress in artificial intelligence (AI) is prompting people to question what the fundamental limits of the technology are. Increasingly, a topic once consigned to science fiction — the notion of a superintelligent AI — is now being considered seriously by scientists and experts alike.
The idea that machines might one day match or even surpass human intelligence has a long history. But the pace of progress in AI over recent decades has given renewed urgency to the topic, particularly since the release of powerful large language models (LLMs) by companies like OpenAI, Google and Anthropic, among others.
Experts have wildly differing views on how feasible this idea of "artificial super intelligence" (ASI) is and when it might appear, but some suggest that such hyper-capable machines are just around the corner. What’s certain is that if, and when, ASI does emerge, it will have enormous implications for humanity’s future.
"I believe we would enter a new era of automated scientific discoveries, vastly accelerated economic growth, longevity, and novel entertainment experiences," Tim Rocktäschel, professor of AI at University College London and a principal scientist at Google DeepMind told Live Science, providing a personal opinion rather than Google DeepMind's official position. However, he also cautioned: "As with any significant technology in history, there is potential risk."
What is artificial superintelligence (ASI)?
Traditionally, AI research has focused on replicating specific capabilities that intelligent beings exhibit. These include things like the ability to visually analyze a scene, parse language or navigate an environment. In some of these narrow domains AI has already achieved superhuman performance, Rocktäschel said, most notably in games like go and chess.
The stretch goal for the field, however, has always been to replicate the more general form of intelligence seen in animals and humans that combines many such capabilities. This concept has gone by several names over the years, including “strong AI” or “universal AI”, but today it is most commonly called artificial general intelligence (AGI).
"For a long time, AGI has been a far away north star for AI research," Rocktäschel said. "However, with the advent of foundation models [another term for LLMs] we now have AI that can pass a broad range of university entrance exams and participate in international math and coding competitions."
Website: International Research Awards on Computer Vision
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