The current data on language-neutral AI-hard tests (analogous to Winograd Schema Challenge (save the textual representation) reasonably concludes that the current AI apparatus cannot sustainably achieve a human-level score (92% or above) on the FLIP-like tests as are used by Idena Network. FLIP creation by humans probably offers more protection from any of the bots and AI recognition schemes available as of now. Let's see what the future brings in this yet unknown realm.