OPINION<\/p>\n
There’s a pattern in how people talk about AI, and it’s starting to bother me.<\/strong><\/p>\n Every week a benchmark shatters. Every month a capability that was “years away” arrives early. AI coverage has become breathless incrementalism \u2014 always zooming in on what just became possible, never pausing at what remains impossible.<\/p>\n AI optimises for a target. What it cannot do is care whether the target was the right one. A lawyer who cares notices the question behind the question. A doctor who cares notices the patient’s face. AI responds to what you give it. It doesn’t have skin in the game.<\/p>\n Real-time social intelligence \u2014 reading the room, knowing now is not the moment to push \u2014 remains stubbornly difficult. Language models are trained on text. Text is what people decided to write down. It is, almost by definition, not the full picture.<\/p>\n “Text is what people decided to write down. It is, almost by definition, not the full picture.”<\/p><\/blockquote>\n When a human expert is wrong, their errors are diagnostic \u2014 they reveal assumptions and blind spots you can interrogate. AI hallucinations are confident, plausible, and structurally unrelated to the truth. Human mistakes are data. AI hallucinations are mostly noise.<\/p>\n Trust is built through accountability. A professional who gives bad advice suffers consequences. AI cannot be embarrassed. It won’t lose sleep over a bad call. The humans who sign their name at the bottom are not redundant \u2014 they are the accountability layer.<\/p>\n AI can recombine and synthesise. What it cannot do is want something that isn’t implicit in its training. The truly disruptive ideas in history came from people obsessed with problems nobody else thought worth solving. That kind of motivated originality still has a distinctly human signature.<\/p>\n The race isn’t to outrun the machine. It’s to become more deeply, irreducibly human.<\/p>\n Tags: Artificial Intelligence \u2022 Opinion \u2022 Technology & Society \u2022 192.168.1.22\/<\/p>\n","protected":false},"excerpt":{"rendered":" Everyone’s obsessed with what AI can do. I’m more interested in what it can’t \u2014 and why those gaps are where your value lives.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,23],"tags":[],"class_list":["post-9002","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-technology"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/posts\/9002","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/iamglover.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9002"}],"version-history":[{"count":1,"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/posts\/9002\/revisions"}],"predecessor-version":[{"id":9033,"href":"http:\/\/iamglover.com\/index.php?rest_route=\/wp\/v2\/posts\/9002\/revisions\/9033"}],"wp:attachment":[{"href":"http:\/\/iamglover.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9002"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/iamglover.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9002"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/iamglover.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9002"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}1. Care About the Outcome<\/h2>\n
2. Navigate a Room<\/h2>\n
3. Be Wrong in a Useful Way<\/h2>\n
4. Have a Reputation to Protect<\/h2>\n
5. Want Something New<\/h2>\n
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