Pangram CEO Warns Bots Top 50% of Traffic as Detector Claims 1-in-10,000 False Positives
Updated
Updated · derekthompson.org · Sep 1
Pangram CEO Warns Bots Top 50% of Traffic as Detector Claims 1-in-10,000 False Positives
2 articles · Updated · derekthompson.org · Sep 1
Summary
Max Spero said bot traffic has already passed 50% of internet activity and could reach 99%, arguing Pangram was built to counter AI-generated spam, fake reviews and misinformation.
Pangram classifies text as AI, mixed or human by comparing known human writing with model-generated counterparts, and Spero said a University of Chicago study found zero false positives across nearly 2,000 human texts.
Platform-specific studies cited by Spero found 41% of LinkedIn long-form posts and 29% of Twitter posts over 250 words were AI-generated, with nearly 40% of the web AI-made in May last year.
Spero said Pangram still produces about one false positive per 10,000 human texts—dozens daily at scale—while defending public use of the tool as a check on incentives pushing publishers and users toward AI output.
He argued Pangram's edge against OpenAI, Anthropic or Google is independence as a third-party referee, even as larger labs pursue watermarking and other built-in detection tools.