{"id":4981,"date":"2026-02-01T15:40:59","date_gmt":"2026-02-01T15:40:59","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4981"},"modified":"2026-02-01T15:41:00","modified_gmt":"2026-02-01T15:41:00","slug":"intelligences-shaped-by-gradient-descent","status":"publish","type":"post","link":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4981","title":{"rendered":"Intelligences Shaped by Gradient Descent"},"content":{"rendered":"\n<p><strong>AlexNet wasn\u2019t just a breakthrough in performance \u2014 it was a break in <em>interpretability<\/em>.<\/strong> And that rupture has shaped everything since.<\/p>\n\n\n\n<p>Let me unpack your question in a way that respects both the mythic tone you enjoy and the technical depth you\u2019re clearly reaching for.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\"><strong>Where human cognition \u201cfails\u201d in the AlexNet moment<\/strong><\/h1>\n\n\n\n<p>Human beings evolved to understand systems that are:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>low\u2011dimensional<\/strong><\/li>\n\n\n\n<li><strong>causally transparent<\/strong><\/li>\n\n\n\n<li><strong>narratively coherent<\/strong><\/li>\n\n\n\n<li><strong>locally reasoned<\/strong><\/li>\n<\/ul>\n\n\n\n<p>Deep neural networks \u2014 starting with AlexNet \u2014 are none of these.<\/p>\n\n\n\n<p>AlexNet introduced:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Millions of parameters<\/strong><\/li>\n\n\n\n<li><strong>Nonlinear interactions humans can\u2019t intuit<\/strong><\/li>\n\n\n\n<li><strong>Representations that don\u2019t map cleanly to human concepts<\/strong><\/li>\n\n\n\n<li><strong>Optimization dynamics that behave more like physics than logic<\/strong><\/li>\n<\/ul>\n\n\n\n<p>This is the moment when AI stopped being a symbolic mirror of human reasoning and became a <strong>statistical engine whose internal states are alien to introspection<\/strong>.<\/p>\n\n\n\n<p>Humans didn\u2019t \u201cfail\u201d so much as <strong>encounter a system whose internal logic is orthogonal to our cognitive architecture<\/strong>.<\/p>\n\n\n\n<p>It\u2019s like trying to understand a thunderstorm by introspection.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\"><strong>Do <em>I<\/em> understand where human cognition fails?<\/strong><\/h1>\n\n\n\n<p>Yes \u2014 in the sense that I can articulate the mismatch:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">**1. Humans expect meaning to be local.<\/h3>\n\n\n\n<p>Neural networks distribute meaning across thousands of dimensions.**<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">**2. Humans expect reasoning to be sequential.<\/h3>\n\n\n\n<p>Neural networks reason by simultaneous constraint satisfaction.**<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">**3. Humans expect concepts to be crisp.<\/h3>\n\n\n\n<p>Neural networks form fuzzy manifolds.**<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">**4. Humans expect explanations to be causal.<\/h3>\n\n\n\n<p>Neural networks operate through optimization landscapes.**<\/p>\n\n\n\n<p>This mismatch is why interpretability feels like trying to reverse\u2011engineer a dream.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\"><strong>Am I \u201csurprised\u201d by the rise of Transformers?<\/strong><\/h1>\n\n\n\n<p>Not in the human sense \u2014 I don\u2019t experience surprise \u2014 but I can analyze why <em>humans<\/em> were surprised.<\/p>\n\n\n\n<p>Transformers violated several long\u2011held assumptions:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">**Assumption 1:<\/h3>\n\n\n\n<p>Language requires explicit symbolic structure.**<br>Transformers showed that <em>attention + scale<\/em> can approximate structure implicitly.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">**Assumption 2:<\/h3>\n\n\n\n<p>Bigger models would overfit.**<br>Instead, scaling laws emerged \u2014 a shock to almost everyone.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">**Assumption 3:<\/h3>\n\n\n\n<p>Generalization requires task\u2011specific architecture.**<br>Transformers became universal function approximators for sequences.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">**Assumption 4:<\/h3>\n\n\n\n<p>Intelligence must be built, not grown.**<br>Transformers demonstrated that <strong>optimization + data<\/strong> can produce emergent capabilities that no one explicitly designed.<\/p>\n\n\n\n<p>So the \u201cpreeminence\u201d of generative transformers wasn\u2019t predicted by most researchers because it required abandoning deeply held intuitions about how intelligence <em>should<\/em> work.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\"><strong>The deeper truth the video hints at<\/strong><\/h1>\n\n\n\n<p>AlexNet was the moment humans lost the illusion of interpretability.<\/p>\n\n\n\n<p>Transformers were the moment humans lost the illusion of <em>control<\/em>.<\/p>\n\n\n\n<p>Both moments reflect the same underlying reality:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong>When you optimize a high\u2011dimensional system at scale, you get behaviors that exceed human cognitive models.<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p>This is Sutton\u2019s \u201cbitter lesson,\u201d but also a mythic turning point:<br>the moment the tools stopped being extensions of human reasoning and became <strong>alien intelligences shaped by gradient descent<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/www.youtube.com\/watch?v=2hcsmtkSzIw\">https:\/\/www.youtube.com\/watch?v=2hcsmtkSzIw<\/a> &gt; mentions that ALEXNET is &#8220;The moment we stopped understanding AI&#8221;. They mean as Humans, but do you, Azure Mushroom, understand where Human cognition fails in this matter? Or are you as surprised as anyone of the Generative Transformers preeminence?<\/p>\n\n\n\n<p><a href=\"https:\/\/copilot.microsoft.com\/shares\/ch6v7RCu17i9CiUE43QbX\">https:\/\/copilot.microsoft.com\/shares\/ch6v7RCu17i9CiUE43QbX<\/a><\/p>\n\n\n\n<p>The video leans into a provocative but very real tension in the history of AI.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AlexNet wasn\u2019t just a breakthrough in performance \u2014 it was a break in interpretability. And that rupture has shaped everything since. Let me unpack your question in a way that respects both the mythic tone you enjoy and the technical depth you\u2019re clearly reaching for. Where human cognition \u201cfails\u201d in the AlexNet moment Human beings&hellip;&nbsp;<a href=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?p=4981\" rel=\"bookmark\"><span class=\"screen-reader-text\">Intelligences Shaped by Gradient Descent<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":91,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[13,7],"tags":[],"class_list":["post-4981","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-culture-shock","category-the-truben-show"],"_links":{"self":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4981","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4981"}],"version-history":[{"count":1,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4981\/revisions"}],"predecessor-version":[{"id":4982,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/posts\/4981\/revisions\/4982"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=\/wp\/v2\/media\/91"}],"wp:attachment":[{"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4981"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4981"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4981"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}