What Science Says About... The Singularity: The Evidence-First Guide to the Unexplained

A machine smart enough to improve itself - is that a scientific possibility, or a myth borrowed from science fiction?

For sixty years, serious mathematicians and computer scientists have taken seriously the idea that artificial intelligence could trigger a runaway intelligence explosion - a moment when machines improve themselves faster than humans can follow.

What Science Says About... The Singularity traces this argument from its origins to the newest evidence, revealing surprising limits to scaling laws, sharp expert disagreement, and a persistent gap between theory and proof.

Inside, you'll discover:
- Why a 1965 mathematical argument still shapes today's AI safety debates
- How scaling laws reveal both stunning progress and hidden limits
- Why experts' extinction-risk estimates span from near zero to near certain

Part of the What Science Says About... series, where evidence always outweighs hype.

Read it, and decide for yourself what the evidence supports.