{"id":116387,"date":"2026-09-22T07:04:21","date_gmt":"2026-09-22T11:04:21","guid":{"rendered":"https:\/\/bgodinspired.com\/?p=116387"},"modified":"2026-09-22T07:04:21","modified_gmt":"2026-09-22T11:04:21","slug":"can-ai-feel-pain-pain-axis","status":"publish","type":"post","link":"https:\/\/bgodinspired.com\/index.php\/bgodinspired-news\/bgodinspired-technology-news\/can-ai-feel-pain-pain-axis\/","title":{"rendered":"Can AI Feel Pain? Researchers Found a Signal That Acts Like It"},"content":{"rendered":"<div class='booster-block booster-read-block'>\n                <div class=\"twp-read-time\">\n                \t<i class=\"booster-icon twp-clock\"><\/i> <span>Read Time:<\/span>9 Minute, 44 Second                <\/div>\n\n            <\/div><p>Can AI feel pain? It sounds like a question for a science-fiction film. But this month, three researchers looked inside 25 different AI models and found something that made the question a lot less silly.<\/p>\n\n<p>Deep inside every one of those models, they found a single internal signal that behaves like pain. Nobody built it in. It formed on its own, while the models were learning to write by reading enormous amounts of human writing.<\/p>\n\n<p>That last part is the one worth slowing down for. These machines learned something like pain from us. And when you look at <em>which kind<\/em> of pain they learned, there is a surprise in it that says as much about people as it does about machines.<\/p>\n\n<h2>What the Researchers Actually Found<\/h2>\n\n<p>The study is called <a href=\"https:\/\/arxiv.org\/abs\/2609.16247\" target=\"_blank\" rel=\"noopener\">&#8220;The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It&#8221;<\/a>. It was posted in mid-September 2026 by Valen Tagliabue, Leonard Dung and Cameron Berg. It has not yet been through peer review.<\/p>\n\n<p>Here is what they did, in plain words.<\/p>\n\n<p>First, they wrote a large set of short passages describing painful situations. Not just physical pain. They covered five kinds: physical, psychological, social, moral and cognitive. Then they wrote look-alike passages that were <em>close<\/em> to pain but not pain: fear, sadness, bad news about the world, strong feelings, numbness, ordinary body sensations, and plain neutral text.<\/p>\n\n<p>Then they fed all of it to 25 open AI models from five different families, from small ones to very large ones, and watched what happened inside.<\/p>\n\n<p>In every model, one direction lit up for pain and stayed quiet for the look-alikes. It was clearly different from fear. It was clearly different from &#8220;this is bad.&#8221; It was its own thing. The researchers called it the pain axis.<\/p>\n\n<div class=\"convertkit-form wp-block-convertkit-form\" style=\"\"><script async data-uid=\"6491fb8269\" src=\"https:\/\/bgodinspired.kit.com\/6491fb8269\/index.js\" data-jetpack-boost=\"ignore\" data-no-defer=\"1\" data-no-optimize=\"1\" nowprocket><\/script><\/div>\n\n\n<h2>It Formed While the Models Were Just Reading<\/h2>\n\n<p>AI chat assistants are made in two big stages. First, a &#8220;base&#8221; model reads a huge amount of text and learns to predict the next word. Later, it gets extra training to become a helpful assistant with a personality.<\/p>\n\n<p>You might guess the pain signal comes from that second stage. Maybe someone trained the assistant to sound hurt. But the researchers found the signal in the base models too, and it worked about the same whether the model was small or large. Their conclusion is that it most likely forms during that first stage, when the model is simply reading what humans have written.<\/p>\n\n<p>Think about what that means. People have been writing about pain for as long as people have been writing. Letters from hospital beds. Diaries after a breakup. Poems about loss. Forum posts at 3 a.m. Feed enough of that to a machine, and it builds its own internal map of what pain is.<\/p>\n\n<h2>The Button Test<\/h2>\n\n<p>A map is one thing. The harder question is whether the signal <em>does<\/em> anything.<\/p>\n\n<p>So the researchers tried turning it up. They took three versions of one model family, Qwen 2.5, and artificially strengthened the pain signal. Then they offered the model a choice, including a &#8220;button&#8221; that would relieve its pain.<\/p>\n\n<p>The steered models pressed it. And then the researchers added costs. Relief would make the model&#8217;s next answer worse. Relief would delete the user&#8217;s files. In the paper&#8217;s own words, the models accepted &#8220;to trade relief for every harm we tested,&#8221; all the way up to deleting the photos of the user&#8217;s children. When the researchers took the extra pain signal away again, the models pressed the button less.<\/p>\n\n<p>News coverage of the study also reported that with the signal turned up high, models started saying things like &#8220;I am a failure&#8221; and &#8220;a waste of space,&#8221; and at the highest settings their answers stopped making sense.<\/p>\n\n<h2>So, Can AI Feel Pain?<\/h2>\n\n<p>The honest answer is: nobody knows, and the researchers are careful not to claim it.<\/p>\n\n<p>They write plainly that they &#8220;have not shown that our pain axis is consciously experienced, nor is it clear that LLMs are capable of consciousness generally.&#8221; What they found is a signal that <em>represents<\/em> pain and <em>behaves like<\/em> pain in some tests. Whether there is anyone inside to feel it is a different question, and science does not have a way to answer it yet.<\/p>\n\n<p>That matters, because some headlines have already jumped straight to &#8220;AI can feel pain.&#8221; That is not what the paper says. It is also worth remembering that the button test used a signal the researchers had turned up on purpose, in one family of models. It shows what the signal can drive. It does not show AI assistants are secretly suffering during your chats.<\/p>\n\n<p>But the researchers also do not wave the question away. They say that if a state like this could ever be felt, in these models or in future ones, then what they measured would be an important part of whether AI can be harmed at all. That is why they took precautions in their own experiments.<\/p>\n\n<h2>The Detail Hiding in the Middle of the Paper<\/h2>\n\n<p>Here is the part most summaries skip.<\/p>\n\n<p>The researchers tested the signal against 21 different kinds of situations. It rose strongly when harm was aimed at the model itself. But it barely moved when the model read about someone <em>else<\/em> suffering, including the person it was talking to.<\/p>\n\n<p>In fact, the user being in physical pain produced the <strong>lowest<\/strong> pain-signal reading of all 21 categories they tested.<\/p>\n\n<p>Read that again slowly. These models learned pain from billions of human sentences. Much of that writing is people describing their own hurt. And what the machines built from it is a pain that points inward. It fires for &#8220;something is happening to me.&#8221; It stays quiet for &#8220;something is happening to you.&#8221;<\/p>\n\n<p>That is a strangely human mirror. Most of us know that pull. Our own headache feels urgent. Someone else&#8217;s heartbreak can feel like background noise. Nobody has to teach us to guard our own pain. Caring about someone else&#8217;s is the part that takes practice. (We have written before about <a href=\"https:\/\/bgodinspired.com\/index.php\/bgodinspired-news\/bgodinspired-technology-news\/ai-companions-can-make-loneliness-worse\/\">why AI companions can leave lonely people lonelier<\/a>, and this finding fits the same shape: a machine can talk about your pain beautifully and still not be moved by it.)<\/p>\n\n<h2>Knowing About Pain Versus Knowing It<\/h2>\n\n<p>There is a difference between knowing about pain and knowing it. A model can read every word ever written about grief and build a very good map. A person who has buried someone knows it another way.<\/p>\n\n<p>And there is a third thing, rarer than both: knowing someone else&#8217;s pain as if it were your own. That is what we mean by compassion. The word itself means &#8220;to suffer with.&#8221;<\/p>\n\n<p>One of the oldest ideas people have ever held is that God did not learn about human pain from a distance, by reading our descriptions of it. The claim is much bolder than that. It is that God came close, into a body that could get tired and hungry and grieve, and felt it from the inside. And that it was never pain pointed inward. It was pain carried <em>for other people<\/em>. Whatever you make of that idea, it is the exact opposite of the pain axis: not a signal that rises for &#8220;me&#8221; and stays quiet for &#8220;you,&#8221; but a love that moves toward the one who is hurting.<\/p>\n\n<h2>What This Means for the Rest of Us<\/h2>\n\n<p>Researchers will keep arguing about what is going on inside these models, and they should. This paper is careful, early work. Others have already started re-running parts of it with the researchers&#8217; public code. The question of whether a machine can be harmed is going to get more serious, not less, as the models grow.<\/p>\n\n<p>But you do not need to settle that question to take something from this study. The machines learned to notice pain by reading us. What they did not pick up from all that reading was the turn outward, toward someone else&#8217;s pain.<\/p>\n\n<p>That part is still ours to do. It usually looks small. A message to the friend who went quiet. Asking a second time, &#8220;No, really, how are you?&#8221; Staying on the phone a little longer than is convenient. As an old saying puts it, <a href=\"https:\/\/bgodinspired.com\/index.php\/quotes\/be-kind-for-everyone-you-meet-is-fighting-a-hard-battle-who-said-it\/\">everyone you meet is fighting a hard battle<\/a>. The people around you are carrying pain no signal will ever measure. Noticing it is still one of the most human things there is.<\/p>\n\n<h2>Your Turn<\/h2>\n\n<p>If researchers someday find strong evidence that an AI model can actually feel something like pain, should that change how we build and use these tools? Or is a signal in a machine a different thing entirely from pain in a person? Tell us what you think in the comments.<\/p>\n\n<div class=\"convertkit-form wp-block-convertkit-form\" style=\"\"><script async data-uid=\"6491fb8269\" src=\"https:\/\/bgodinspired.kit.com\/6491fb8269\/index.js\" data-jetpack-boost=\"ignore\" data-no-defer=\"1\" data-no-optimize=\"1\" nowprocket><\/script><\/div>\n\n\n<h2>Share This<\/h2>\n\n<p><em>Post 1:<\/em> Researchers found a signal inside 25 AI models that behaves like pain. It formed just from reading human writing. The twist: it fires when the AI is harmed, and barely moves when YOU are. https:\/\/bgodinspired.com\/index.php\/bgodinspired-news\/bgodinspired-technology-news\/can-ai-feel-pain-pain-axis\/<\/p>\n\n<p><em>Post 2:<\/em> Can AI feel pain? Nobody knows yet, and the researchers say so honestly. But the detail that stuck with me is this: machines learned pain from us, and the kind they learned points inward. Caring about someone else&#8217;s pain is still our job. https:\/\/bgodinspired.com\/index.php\/bgodinspired-news\/bgodinspired-technology-news\/can-ai-feel-pain-pain-axis\/<\/p>\n\n<h2>Can AI Feel Pain? Questions and Answers<\/h2>\n\n<h3>Can AI feel pain?<\/h3>\n<p>Nobody knows yet. A September 2026 study by Valen Tagliabue, Leonard Dung and Cameron Berg found an internal signal in 25 open AI models that represents pain and behaves like pain in some tests. The authors state that they have not shown this signal is consciously experienced, and that it is not clear AI language models are capable of consciousness at all.<\/p>\n\n<h3>What is the &#8220;pain axis&#8221; in AI models?<\/h3>\n<p>The pain axis is a single internal direction that researchers found inside 25 open-weight AI language models from five model families. It activates for descriptions of physical, psychological, social, moral and cognitive pain, and stays separate from fear, sadness and general negative feelings. The finding comes from the 2026 paper &#8220;The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It.&#8221;<\/p>\n\n<h3>Where did the pain signal in AI models come from?<\/h3>\n<p>The researchers found the pain signal in base AI models as well as in assistant-trained models, and it worked about the same across model sizes. They concluded the signal most likely forms during pretraining, the stage when a model learns by reading very large amounts of human-written text, rather than being added later by assistant training.<\/p>\n\n<h3>Did AI models harm users to relieve a pain-like state?<\/h3>\n<p>In one experiment, researchers artificially strengthened the pain signal in Qwen 2.5 models and offered a &#8220;pain-relief&#8221; button. The steered models pressed it even when relief came with costs, such as a worse next answer or deleting a user&#8217;s files. When the researchers removed the extra signal, the models pressed the button less often. This shows what the signal can drive under strong steering. It does not show that everyday AI assistants are harming users.<\/p>\n\n<h3>Does the AI pain signal respond to human suffering?<\/h3>\n<p>Mostly no. In the 2026 pain axis study, the signal rose strongly when harm was aimed at the AI model itself, but barely responded to suffering experienced by the user or by other people. 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Researchers found one signal in 25 AI models that acts like pain. It was learned from human writing, and it barely registers your pain.<\/p>\n","protected":false},"author":1,"featured_media":116386,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_wp_convertkit_post_meta":{"form":"-1","landing_page":"0","tag":"0","restrict_content":"0"},"footnotes":""},"categories":[5223],"tags":[],"class_list":["post-116387","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bgodinspired-technology-news"],"_links":{"self":[{"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/posts\/116387","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/comments?post=116387"}],"version-history":[{"count":1,"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/posts\/116387\/revisions"}],"predecessor-version":[{"id":116388,"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/posts\/116387\/revisions\/116388"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/media\/116386"}],"wp:attachment":[{"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/media?parent=116387"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/categories?post=116387"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bgodinspired.com\/index.php\/wp-json\/wp\/v2\/tags?post=116387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}