AIFeb 20, 2016

The Singularity May Never Be Near

arXiv:1602.06462v138 citations
Originality Synthesis-oriented
AI Analysis

This addresses a foundational problem for AI researchers and policymakers, but is incremental as it critiques existing ideas without new empirical evidence.

The paper tackles the debate over the technological singularity in AI, arguing that it may never occur, but does not provide concrete results or numbers.

There is both much optimism and pessimism around artificial intelligence (AI) today. The optimists are investing millions of dollars, and even in some cases billions of dollars into AI. The pessimists, on the other hand, predict that AI will end many things: jobs, warfare, and even the human race. Both the optimists and the pessimists often appeal to the idea of a technological singularity, a point in time where machine intelligence starts to run away, and a new, more intelligent species starts to inhabit the earth. If the optimists are right, this will be a moment that fundamentally changes our economy and our society. If the pessimists are right, this will be a moment that also fundamentally changes our economy and our society. It is therefore very worthwhile spending some time deciding if either of them might be right.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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