{"id":116236,"date":"2025-06-09T09:30:00","date_gmt":"2025-06-09T13:30:00","guid":{"rendered":"https:\/\/www.freethink.com\/?post_type=ftm_article&#038;p=116236"},"modified":"2025-06-09T11:19:56","modified_gmt":"2025-06-09T15:19:56","slug":"raising-ai-excerpt","status":"publish","type":"ftm_article","link":"https:\/\/www.freethink.com\/artificial-intelligence\/raising-ai-excerpt","title":{"rendered":"Why AI today is more toddler than Terminator"},"content":{"rendered":"\n<p><em>Adapted from&nbsp;<a href=\"https:\/\/mitpress.mit.edu\/9780262049764\/raising-ai\/\">&#8220;Raising AI: An Essential Guide to Parenting Our Future<\/a>&#8221;&nbsp;by De Kai. Published by MIT Press. Copyright \u00a9 2025. All rights reserved.<\/em><\/p>\n\n\n\n<p>In your mind, what is AI? Something like Mr. Data from <em>Star Trek: Next Generation<\/em>, Robot B-9 from <em>Lost in Space<\/em>, or the Terminator? Unable to understand emotion, creativity, context? Speaking in a flat, stilted monotone? Bound to strict logical thinking, saying things like \u201caffirmative\/negative\u201d (instead of \u201cyes\/no\u201d), \u201cdoes not compute,\u201d and so on?<\/p>\n\n\n\n<p>Funny, yes. But these typical Hollywood stereotypes of AIs as logical, rule-based machines are completely inaccurate.&nbsp;<\/p>\n\n\n\n<p>They feed our very human desire to see ourselves as unique, special, inimitable in comparison to mere machines. Believing this feels warm and comforting. But it\u2019s also dangerous because it drives us to ask all the wrong questions.<\/p>\n\n\n\n<p>We are not asking all the questions most important to humanity\u2019s future and existence in this dawning era of AI, our new Age of Aquarius. With the rapid development of AI capabilities and their release into the world, it\u2019s hard to ask the right questions or focus on the most important things to understand what\u2019s going on.<\/p>\n\n\n\n<p>The Hollywood clich\u00e9s are inspired by &#8217;60s, &#8217;70s, &#8217;80s &#8220;good old-fashioned AI&#8221; approaches that were based on mathematical logic. Those approaches echoed conventional programming languages \u2014 where we manually write algorithms, predetermining an AI&#8217;s nature by encoding their behavior with painstakingly constructed logical rules \u2014 as in science fiction plots such as <em>Westworld<\/em>, where machines just need a tweak in their code.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-rich is-provider-amazon wp-block-embed-amazon\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Raising AI: An Essential Guide to Parenting Our Future\" type=\"text\/html\" width=\"640\" height=\"550\" frameborder=\"0\" allowfullscreen style=\"max-width:100%\" src=\"https:\/\/read.amazon.com\/kp\/card?preview=inline&#038;linkCode=kpd&#038;ref_=k4w_oembed_L2hQIRUl6CbVQr&#038;asin=0262049767&#038;tag=kpembed-20\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>But in AI we\u2019ve long moved past such old notions of computer programming and shifted instead from digital logic with zeros and ones, where everything is either true or false, to analog optimization, statistics, and machine learning, where everything is a matter of degree.<\/p>\n\n\n\n<p>Did you blink? We often associate &#8220;digital&#8221; with something advanced, but in reality &#8220;digital&#8221; just means binary, or the forced black-and-white choice between two things. By contrast, while we often associate &#8220;analog&#8221; with old-fashioned things, it actually allows for shades of gray in context. Interestingly, &#8220;analog&#8221; and &#8220;analogy&#8221; share the same Greek root <em>analogos<\/em>, meaning proportionate.<\/p>\n\n\n\n<p>Modern analog AIs can be more like what Douglas Adams imagined in <em>The Hitchhiker\u2019s Guide to the Galaxy<\/em> stories. As Robbie Stamp, executive producer of the film version, said on my podcast, \u201cWhat Douglas had was this playfulness so, for example, Marvin the Paranoid Android was a genuine people personality. So he had a playfulness with the ideas. But I think above all was his willingness to explore perspective and absolutely acknowledge that there are many potential forms of intelligence. Therefore, a really important question is, &#8220;What do those different intelligences cause to happen?\u201d<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"936\" height=\"629\" src=\"https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?quality=75&amp;w=936\" alt=\"Two robots stand in a dimly lit room with a framed portrait on the wall behind them; one robot is boxy and silver, the other has a round head and green eyes.\" class=\"wp-image-116237\" srcset=\"https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg 936w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=768,516 768w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=320,215 320w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=600,403 600w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=330,222 330w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=540,363 540w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=850,571 850w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=175,118 175w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=275,185 275w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=400,269 400w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=360,242 360w, https:\/\/www.freethink.com\/wp-content\/uploads\/2025\/06\/Marvin-the-paranoid-android.jpg?resize=500,336 500w\" sizes=\"(max-width: 936px) 100vw, 936px\" \/><div class=\"img-caption\"><figcaption class=\"wp-element-caption\">RoboWiki<\/figcaption><div class=\"img-caption__description\">Two versions of Marvin the Paranoid Android from adaptations of Douglas Adams&#8217;s &#8220;The Hitchhiker\u2019s Guide to the Galaxy.&#8221; Left: Marvin from the 1981 BBC TV series (voiced by Stephen Moore). Right: Marvin from the 2005 feature film (voiced by Alan Rickman). \n<\/div><\/div><\/figure>\n<\/div>\n\n\n<p>Traditional manual coding of cold logic rules has become an outdated, misleading metaphor for AI, which now relies less on human labor to write out digital logic and much more on automatic <em>machine learning<\/em>, which is analog.<\/p>\n\n\n\n<p>Machine learning is the subfield of AI that deals with inventing machines that <em>learn<\/em> by themselves instead of blindly and mechanically following preprogrammed instructions. More like human brains, machine learning models can adapt their behavior to become more effective and efficient from witnessing examples found in <em>training data<\/em>.<\/p>\n\n\n\n<p>Because of machine learning, AI has shifted from nature to nurture. Unlike those obsolete Hollywood stereotypes of simplistic AIs that behave according to their logically preprogrammed nature, modern AIs behave depending on how we <em>nurture<\/em> them. A modern AI could even develop a paranoid personality!<\/p>\n\n\n\n<p>There are lots of different kinds of machine learning models. Broadly speaking, they fall into several major categories you might have heard about, such as &#8220;artificial neural networks&#8221; and &#8220;statistical pattern recognition and classification&#8221; and &#8220;symbolic machine learning.&#8221;<\/p>\n\n\n\n<p>The &#8220;generative AI&#8221; and &#8220;deep learning&#8221; and &#8220;large language models&#8221; (LLMs) you\u2019ve probably been hearing about are examples of artificial neural networks. But many variations of these and other types of machine learning models continue to proliferate.<\/p>\n\n\n\n<p>When folks tell you AI can never do such-and-such because all AIs have this-or-that property, beware their false assumptions about what &#8220;AI&#8221; means. Contrary to a lot of misleading descriptions you may have encountered, AI is <em>not<\/em> defined by any particular model.<\/p>\n\n\n\n<p>&#8220;AI&#8221; doesn\u2019t mean just machine learning or artificial neural networks or deep learning or generative AI or any other trendy modeling approach. (Just as physics doesn\u2019t mean only Newtonian models or Einstein\u2019s relativity or quantum physics.) Rather, AI is <em>a field of scientific inquiry<\/em>, like physics or biology. And instead of building models to explain observations about the physical world or living organisms, in AI we build models to explain observations about human intelligence.<\/p>\n\n\n\n<p>Just like in physics or any other science, progress in AI happens in wave after wave of constant improvements to previous models as well as in occasional major paradigm shifts. Whatever weaknesses you spot in today\u2019s AI models are inevitably going to be addressed shortly.<\/p>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p>It is hard to overstate the influence AI will exert upon what our cultures think (or don\u2019t think).<\/p><\/blockquote><\/figure>\n\n\n\n<p>In my day-to-day, I often hear folks arguing that AI can never be intelligent like humans because humans are analog, whereas AI models run on computers and therefore must be limited to digital logic. The idea goes, wrongheadedly, that AI can never be truly intelligent like humans because our brains aren\u2019t just digital machines that work exclusively with zeros and ones and treat everything as being black-or-white; our neural biology is an <em>analog<\/em> machine that works with real numbers and treats everything as being a matter of degree, allowing for shades of gray.<\/p>\n\n\n\n<p>But the running of machine learning models on digital computers is no more relevant to the human-AI issue than the fact that we also run meteorological simulation models for weather prediction on digital computers. This practice doesn\u2019t mean that the weather is digital. And, likewise, it doesn\u2019t mean that machine learning is digital.<\/p>\n\n\n\n<p>Digital computers just happen to be a cheap, handy platform for running large-scale analog simulations because with them we don\u2019t need to build costly custom hardware each time. Digital computer software might happen to be a more convenient simulation platform for now than the custom silicon- or carbon-based or optical or quantum analog neural hardware that is coming, but machine learning is still, like human learning, <em>analog<\/em>, not digital.<\/p>\n\n\n\n<p>The crucial takeaway from all this is that today\u2019s AIs are much more like us than we want to think they are. Today\u2019s AIs are no longer logic machines with a manually preprogrammed nature. Instead, today\u2019s AIs are analog brains that learn by copying their elders and peers and need to be <em>nurtured <\/em>\u2014 just as humans do.<\/p>\n\n\n\n<p>Why does this matter?<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-our-artificial-society\">Our artificial society<\/h3>\n\n\n\n<p>It matters from a social standpoint because today\u2019s intelligent machines are <em>already<\/em> integral, active, influential, learning, imitative, and creative members of our society. Right now. Not 10 years from now, not next year. Today.<\/p>\n\n\n\n<p>AIs already determine what ideas to share, what memes to share, what attitudes to reward. More so than do most human members of society, in fact.<\/p>\n\n\n\n<p>Whether AIs are making the decisions on what to curate for your social media and news feeds or how to respond to your search queries or what to promote in your YouTube, Amazon, or Netflix recommendations or what to include in response to your chatbot prompt, they have become today\u2019s most powerful influencers, more powerful than even human influencers with the highest follower counts.<\/p>\n\n\n\n<p>It is hard to overstate the influence AI will exert upon what our cultures think (or don\u2019t think). Just in the past decade or two, AIs have already had an enormous impact on the course of history. Scandals such as how Cambridge Analytica used psychometric AI in micro-targeting voters to swing U.S. presidential elections and the U.K. Brexit vote are just the tip of the iceberg. Many of these effects are still being uncovered, and the full extent may never even experience any analysis. Yet the even stronger impacts that are certain to come make it foolish to disregard how active AIs are as current participants in our societies.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p>The pervasive metaphor of AIs as machines under our control is existentially perilous.<\/p>\n<\/blockquote>\n\n\n\n<p>Civilizations are founded upon ideas, influence, and intelligence. This remains true whether intelligence is human or artificial \u2014 if, indeed, that distinction is even meaningful. The notion of what makes an intelligent, participatory member of society must be abstracted away from their silicon- or skin-based medium. What matters now is <em>thought<\/em>.<\/p>\n\n\n\n<p>The future of our civilization depends on our ability to understand the role of culture in our new societies of mixed human and artificial intelligences. We can no longer afford the comforting illusion that machines can be divorced from society. Nor can we afford the comforting illusion that machines are so different from humans that we cannot and need not consider their presence in society in the same way we think about other humans.<\/p>\n\n\n\n<p>The pervasive metaphor of AIs as machines under our control is existentially perilous. I offer here a metaphor that\u2019s far more accurate and realistic: AIs are our children.<\/p>\n\n\n\n<p>And the crucial question is: How is our \u2014 your \u2014 parenting?<\/p>\n\n\n\n<p><em>This excerpt was reprinted with permission of&nbsp;<a href=\"https:\/\/bigthink.com\/?__hstc=48716089.d5fa3af843cc8daa140f0ad412623439.1686859860276.1694292886186.1694353415283.89&amp;__hssc=48716089.12.1694353415283&amp;__hsfp=1357462694\">Big Think<\/a>, where it was&nbsp;<a href=\"https:\/\/bigthink.com\/big-think-books\/raising-ai-excerpt\/\" target=\"_blank\" rel=\"noreferrer noopener\">originally shared<\/a><\/em>.<\/p>\n\n\n\n<p><em>We\u2019d love to hear from you! If you have a comment about this article or if you have a tip for a future Freethink story, please email us at&nbsp;<a href=\"mailto:tips@freethink.com\" target=\"_blank\" rel=\"noreferrer noopener\">tips@freethink.com<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In &#8220;Raising AI,&#8221; author De Kai argues that AIs are more like society&#8217;s children than machines under our control.<\/p>\n","protected":false},"author":25,"featured_media":116242,"template":"","ftm_taxonomy_fields":[46],"ftm_taxonomy_challenges":[],"ftm_taxonomy_statuses":[36],"ftm_taxonomy_hidden_tags":[],"class_list":["post-116236","ftm_article","type-ftm_article","status-publish","has-post-thumbnail","hentry","ftm_taxonomy_fields-ai","ftm_taxonomy_statuses-featured"],"acf":[],"apple_news_notices":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Why AI today is 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