Astronomers at the University of Warwick just announced that an AI pipeline named RAVEN dug through four years of NASA TESS observations and pulled out 31 brand new planets, plus more than 100 confirmed worlds in total, plus around 1,000 fresh candidates that nobody had spotted yet. The data had been sitting in NASA archives the entire time. Humans missed them. The AI found them. And the part nobody is saying out loud is the funny one: the bot is also more honest about what it does not know. The study was published on May 3 in Monthly Notices of the Royal Astronomical Society, three papers at once. RAVEN scanned 2.2 million stars looking for the tiny dip in brightness that happens when a planet crosses in front of its host. Spotting one is easy. Proving the dip is actually a planet and not a binary star, a sunspot, or an instrument glitch is the hard part. Most pipelines handle one slice of that workflow. RAVEN handles the whole thing in one shot.…