Terence Tao proposes "artificial general cleverness" as a more honest label for what AI actually does
Renowned mathematician Terence Tao has proposed a new way to think about AI capabilities. On Mastodon, Tao questions whether true "artificial general intelligence" (AGI) is actually achievable with current AI tools. His alternative: "artificial general cleverness" (AGC).
According to Tao, "general cleverness" means the ability to solve complex problems using partly improvised methods. These solutions might be random, rely on raw computing power, or draw from training data. That makes them something other than true "intelligence," but they can still succeed at many tasks, especially when strict testing procedures filter out incorrect results, he says.
"This results in the somewhat unintuitive combination of a technology that can be very useful and impressive, while simultaneously being fundamentally unsatisfying and disappointing."
Terence Tao
In humans, cleverness and intelligence are linked, but in AI they're decoupled, Tao argues. The mathematician has recently spoken positively about how AI has sped up his own work.
AI News Without the Hype – Curated by Humans
As a THE DECODER subscriber, you get ad-free reading, our weekly AI newsletter, the exclusive "AI Radar" Frontier Report 6× per year, access to comments, and our complete archive.
Subscribe nowAI news without the hype
Curated by humans.
- More than 16% discount.
- Read without distractions – no Google ads.
- Access to comments and community discussions.
- Weekly AI newsletter.
- 6 times a year: “AI Radar” – deep dives on key AI topics.
- Up to 25 % off on KI Pro online events.
- Access to our full ten-year archive.
- Get the latest AI news from The Decoder.