The case for testing tech claims against predictions, not presumed motives

A commentator argues that science and tech coverage should look for ways a claim could be wrong rather than assume a speaker’s possible motives make it false. They urge journalists to revisit predictions by AI figures and politicians—and examine mistakes in their own reporting.