In a new essay, Terence Tao warns that AI could push mathematics into a crisis on par with the foundational upheaval around 1900. What's being tested this time isn't mathematical truth but the values of the field: what counts as a contribution, what gets rewarded, and who did the work. His rule of thumb: a proof that no human can explain should be considered incomplete.<br /> The article Terence Tao says AI could trigger math's biggest crisis since Gödel appeared first on The Decoder. [...]
Mathematician Terence Tao describes how AI could reshape math research by enabling division of labor for the first time. Until now, researchers had to master every step themselves, from framing proble [...]
Terence Tao says OpenAI's GPT-5.2 Pro has solved an open Erdős problem largely on its own for the first time. He calls it a milestone but warns against reading too much into it. For Tao, the mor [...]
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 achievab [...]
Terence Tao compares AI's impact on mathematics to the automobile's effect on cities: new technology needs new infrastructure, or it just clogs the old roads. His analysis applies far beyond [...]
With the Darwin-Gödel Machine (DGM), Sakana AI introduces an AI system that can iteratively improve itself through self-modification and open-ended exploration. Early results look promising, but the [...]
A research group at King Abdullah University of Science and Technology (KAUST) has unveiled the Huxley-Gödel Machine (HGM), an AI agent that can evolve by rewriting and improving its own code.<br [...]
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]