AI · October 14, 2026

Also published in Português (Brasil), Polski

Cheap predictions and expensive verification drive fear of artificial intelligence

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Laura Ockel / Unsplash

A recent discussion highlighted the widening gap between the low cost of generating code and the high cost of owning it. The author noted that reports from Veracode specifically illustrate this divergence in expenses. A new perspective suggests that the next line item on the ledger arrives not for code but for predictions. While forecasting artificial intelligence has always been inexpensive, ranging from science fiction to anxieties about automation, the technology removed the final price barrier associated with packaging information.

A plausible note containing figures and an expert tone can now be mass-produced for mere token costs. However, verification remains costly because it requires finding the original source and determining who paid for the research. Many commentators argued that verification also becomes cheaper, yet this holds true only for code which possesses an independent anchor independent of model opinion.

Predictions lack such an anchor because no test fails if promised outcomes do not occur and no one pays for errors. Consequently, it appears that producing irresponsibility is as cheap as producing text.