Ah come on. AI algorithms 1) have passed the turing test, then, indeed, we make the turing test more difficult. (I would argue that if you give an accurate de

Ah come on. AI algorithms 1) have passed the turing test, then, indeed, we make the turing test more difficult. (I would argue that if you give an accurate definition of a Turing test, namely "convince, on occasion, a human that you're human", that Eliza passed it in the 1960s) 2) several industries depend on their programs passing some sort of turing test every single day (ie. outsmarting humans directly, or outsmarting "are you a human" tests, automated or no). Examples : HFT (and HFT-like industries, like loan appraisal, credit validation, insurance brokering, ...), Spamming, police chatbots ("Lolita", a US version and "Sweetie", a British equivalent), Anti-spam, anti-HFT companies (who, for example, execute share buybacks for large companies), important parts of police work, ... 3) Some things are so AI-driven that nobody in their right mind still does it manually, or at least it is globally agreed that doing things manually results in a large competitive disadvantage (e.g. shipping). 4) There are places where the replacement of humans with AI has enabled new modes of operation that can not exist without AI. UAV's being the big obvious example, but I would argue there's a better one. AI has enabled bigger ships. Most of the 50000 ton + container ships have a turn radius of 50+ kilometers. If you don't have clear vision 20 kilometers out, you cannot control these ships safely (just look for the yearly demonstration disaster of that fact in the Channel between Britain and France/Belgium). Then we started building 650000 ton ships. When it comes to planes, it's not just UAVs that cannot be controlled by humans, but several kinds of fundamentally unstable planes have started flying, the big example being flying wing aircraft. But there's plenty of others : UAVs, dynamic wing aircraft (like a bird or insect would be a good description), aircraft too light to have a human control them, ... Let's be fair here : this war was lost, a few years ago. Nobody seems interested in giving an AI a datacenter's worth of resources just to have it figure out how to benefit itself/improve itself. If someone did this, for a few years an algorithm could learn to quite literally be a human.