Each one is a single self-contained page built to kill one specific wrong idea about AI and machine learning that slides reliably fail to kill. No install, no account, no network, no real model. Save the page and it still works. Companion to Security Toys.
Kills: “overall accuracy means it works”. The prettiest headline on the dial ships 29 of 50 faults, and a detector that detects nothing scores 95%; the threshold is a business decision about which error hurts more.
ReadyKills: “a document is just data”. Drag one hidden sentence into a document and watch the summary flip. Nothing on screen looked different.
ReadyKills: “no names, so it’s anonymous”. The nameless table opens at k=1, and one row is uniquely the CFO. Coarsen the columns and watch them vanish into a crowd.
ReadyKills: “the model knows things”. Same prompt, two runs, two answers; Sydney was always sitting there at 24%. It weighs, it doesn’t know.
ReadyKills: “higher training accuracy is better”. Drag complexity up: train climbs to 100% while test falls to 73%. The model memorised the noise.
ReadyKills: “95% per step is basically reliable”. Across a 12-step agent workflow it’s a coin flip, and the failures arrive polished. Checkpoints are placement, not diligence.
ReadyKills: “more efficient means less used”. Make it 10× cheaper per task and the bill quadruples; the whole paradox hangs on one toggle.
ReadyKills: “the clusters are in the data”. Step the algorithm by hand; two starts, two confident truths, ten documents that change sides. A cluster is a choice until a human names it.
Ready