{"id":3789,"date":"2026-09-15T09:10:37","date_gmt":"2026-09-15T08:10:37","guid":{"rendered":"https:\/\/titacosta.com\/?p=3789"},"modified":"2026-09-15T09:10:37","modified_gmt":"2026-09-15T08:10:37","slug":"newsletter-when-ai-starts-improving-itself-tue-15-sep-2026","status":"publish","type":"post","link":"https:\/\/titacosta.com\/index.php\/2026\/09\/15\/newsletter-when-ai-starts-improving-itself-tue-15-sep-2026\/","title":{"rendered":"Newsletter &#8211; When AI Starts Improving Itself &#8211; Tue 15 Sep 2026"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">This week I look at the unsettling possibility of AI learning to improve itself \u2014 and what that could mean for our future.<br>The visual gallery takes a different direction, exploring Fauvism through bold colour, expressive forms and freedom from realism.<br>Two very different subjects brought together in one newsletter: the future of intelligence and the enduring pleasure of colour.<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong><a href=\"https:\/\/titacosta.substack.com\/p\/when-ai-starts-improving-itself?r=2id6g5&amp;utm_campaign=post&amp;utm_medium=web&amp;showWelcomeOnShare=true\">When AI Starts Improving Itself<\/a><\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"574\" src=\"https:\/\/titacosta.com\/wp-content\/uploads\/2026\/09\/titacostaai_a_set_table._watercolor._a_drawing_-ar_169_-pro_df66ca71-11aa-4aa7-b62b-a7ab7b57096f_1-1024x574.png\" alt=\"\" class=\"wp-image-3790\" style=\"aspect-ratio:1.7839445426693097;width:467px;height:auto\" srcset=\"https:\/\/titacosta.com\/wp-content\/uploads\/2026\/09\/titacostaai_a_set_table._watercolor._a_drawing_-ar_169_-pro_df66ca71-11aa-4aa7-b62b-a7ab7b57096f_1-1024x574.png 1024w, https:\/\/titacosta.com\/wp-content\/uploads\/2026\/09\/titacostaai_a_set_table._watercolor._a_drawing_-ar_169_-pro_df66ca71-11aa-4aa7-b62b-a7ab7b57096f_1-300x168.png 300w, https:\/\/titacosta.com\/wp-content\/uploads\/2026\/09\/titacostaai_a_set_table._watercolor._a_drawing_-ar_169_-pro_df66ca71-11aa-4aa7-b62b-a7ab7b57096f_1-768x430.png 768w, https:\/\/titacosta.com\/wp-content\/uploads\/2026\/09\/titacostaai_a_set_table._watercolor._a_drawing_-ar_169_-pro_df66ca71-11aa-4aa7-b62b-a7ab7b57096f_1.png 1456w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>This week I look at the unsettling possibility of AI learning to improve itself \u2014 and what that could mean [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3790,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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