The singularity, explained

In one sentence: the singularity is a hypothesis, a prediction some people make, that machines might one day become smart enough to design even smarter machines, setting off change so fast that the world afterwards is hard to imagine. It hasn't happened. Whether it ever will is disputed.

Where the word comes from

In physics, a "singularity" is a point where the usual rules stop giving sensible answers, as at the centre of a black hole. Applied to technology, it suggests a point beyond which prediction becomes impossible.

Three founding ideas

1. The "intelligence explosion" (I. J. Good, 1965). The British mathematician I. J. Good, who worked with Alan Turing, described an "ultraintelligent machine" that could surpass any human at any intellectual task. Because designing machines is itself an intellectual task, such a machine could design better machines, leading to "an 'intelligence explosion'". Good called it "the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control." That final condition, if we can keep it under control, is the seed of today's safety debate. (Quoted in Vinge, 1993.)

2. Vernor Vinge (1993). The mathematician and science-fiction author Vernor Vinge gave the idea its modern name in a paper for a NASA-supported symposium (VISION-21, March 1993). He wrote:

"Within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will be ended."

He added: "I'll be surprised if this event occurs before 2005 or after 2030." Vinge was not simply cheerleading. He discussed critics' arguments, considered a scenario in which hardware progress stalls, and proposed "Intelligence Amplification", using computers to make humans smarter, as an alternative path (Vinge, "The Coming Technological Singularity"). → Tracker: CR-K19, CR-K20

3. Ray Kurzweil (2005, 2024). The inventor and futurist Ray Kurzweil popularised the idea with The Singularity Is Near (2005) and its sequel The Singularity Is Nearer (June 2024). He has consistently predicted:

human-level AI by 2029;
the singularity, a "millionfold" expansion of intelligence as humans merge with AI, by 2045.

His argument rests on what he calls the "law of accelerating returns": the observation that computing price-performance has improved exponentially for decades (Guardian interview, 29 Jun 2024, search-verified). → CR-T08

The idea today: "gentle" rather than sudden?

Some industry leaders now describe a slower, more manageable version. In "The Gentle Singularity" (10 June 2025), OpenAI's Sam Altman wrote that "we are past the event horizon; the takeoff has started", but described the change as gradual enough that daily life mostly continues, with "wonders" becoming routine (blog.samaltman.com). Critics note that this is a company leader describing his own industry's trajectory. Supporters say it is a useful corrective to the "sudden explosion" image. → CR-K03

How the predictions have fared (as of 28 Sep 2026)

Prediction	Target	Status	Notes
Vinge: means to create superhuman intelligence "within thirty years" (i.e. by 2023)	2023	Missed (disputed)	No system is generally recognised as superhuman across the board. The International AI Safety Report 2026 describes capabilities as "jagged". Some argue the "means" now exist in part. See CR-K19.
Vinge: singularity no later than 2030	2030	Not yet	Four years remain.
Kurzweil: human-level AI by 2029	2029	Not yet	There is no agreed test for "human-level". The largest researcher survey gives a 50% chance of machines outperforming humans at every task only by 2047 (Grace et al.).
Kurzweil: singularity by 2045	2045	Not yet

The main critiques

The "complexity brake" (Paul Allen, 2011). Microsoft co-founder Paul Allen and Mark Greaves argued that the deeper science probes the brain, the more complexity it finds, so progress towards human-level understanding slows rather than accelerates. "By the end of the century," they wrote, "we believe, we will still be wondering if the singularity is near" (MIT Technology Review, 12 Oct 2011, search-verified). → CR-K21
Diminishing returns (Toby Walsh, 2017). The AI researcher Toby Walsh set out several reasons a runaway explosion might never happen. Among them: self-improvement might yield smaller gains each round, and the problems to be solved might get harder faster than intelligence grows. He still allowed that superhuman AI might arrive in coming decades (AI Magazine, 2017, search-verified).
"Intelligence" isn't one dial. Narayanan and Kapoor argue that "superintelligence", as usually imagined, is incoherent. Capability in the real world depends on data, experimentation, institutions and physical limits, not just raw reasoning power (AI as Normal Technology, 2025).
Exponential trends end. Growth curves in technology often flatten. Marcus notes that scaling "laws" are "observations that might not hold forever", much like Moore's law (Nautilus, 2022).

And the defence

Supporters reply that critics have repeatedly underestimated AI progress, and that measurable trends, such as METR's finding that task length doubled roughly every seven months over six years (METR, 2025), are consistent with rapid change continuing. They also point out that a singularity doesn't require copying the human brain, only building systems that can do the work of research.

What would have to happen for a singularity to occur

Step	What would need to be true	Indicators to watch
1. AI does AI research	Systems can reliably carry out long, novel research projects with little human help	METR-style task horizons reaching weeks or months; labs reporting AI-authored research advances
2. Improvements compound	Each generation's improvements make the next faster to achieve, not slower	Shrinking time between major capability jumps, confirmed independently
3. No hard bottleneck	Compute, energy, data and physical experiments don't cap progress	Energy and chip supply keeping pace (IEA); success without new real-world data
4. Society lets it run	Deployment isn't slowed by regulation, safety thresholds or public choice	Policy decisions; safety frameworks triggering pauses

What this means for you

The singularity is a thought-provoking idea with a mixed track record. Its first dated prediction has passed without it arriving, and its later dates are still ahead. Serious people argue both sides. Nothing in your daily life needs to change because of it. It is worth understanding because it shapes how some technology leaders think, and because its original author's caveat, "provided that the machine is docile enough to tell us how to keep it under control", is still the right question.