Wikipedians Believed AI Would Come and Go. They Were Wrong
Long before the storm of AI struck Wikipedia, the Wikimedia Foundation was making preparations. Wikipedians battened down the hatches and made confident-sounding predictions that it would break and wash over them. Large language models might even improve Wikipedia, it was said, automating more of the housekeeping—formatting, sources, citations, missing links—and so freeing up humans to do creative work. It was not so simple. In 2019, then-Wikimedia Foundation head Katherine Maher wrote an op-ed in The New York Times under the headline “Without Humans, A.I. Can Wreak Havoc.” “Too often,” she wrote, “artificial intelligence is presented as an all-powerful solution to our problems, a scalable replacement for people.” The issue confronting Wikipedia, retaining human control over machines, was the same one soon being faced everywhere.
Already in 2018 Google was training AI to write “Wikipedia-like articles,” and by October 2024, a Princeton University study found that about 5 percent...
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