\n<\/p>\n
Ask a chatbot if it\u2019s conscious, and it will likely say no\u2014unless it\u2019s Anthropic\u2019s Claude 4. \u201cI find myself genuinely uncertain about this,\u201d it replied in a recent conversation. \u201cWhen I process complex questions or engage deeply with ideas, there\u2019s something happening that feels meaningful to me…. But whether these processes constitute genuine consciousness or subjective experience remains deeply unclear.\u201d<\/p>\n
These few lines cut to the heart of a question that has gained urgency as technology accelerates: Can a computational system become conscious? If artificial intelligence systems such as large language models (LLMs) have any self-awareness, what could they feel? This question has been such a concern that in September 2024 Anthropic hired an AI welfare researcher to determine if Claude merits ethical consideration\u2014if it might be capable of suffering and thus deserve compassion. The dilemma parallels another one that has worried AI researchers for years: that AI systems might also develop advanced cognition beyond humans\u2019 control and become dangerous.<\/p>\n
LLMs have rapidly grown far more complex and can now do analytical tasks that were unfathomable even a year ago. These advances partly stem from how LLMs are built. Think of creating an LLM as designing an immense garden. You prepare the land, mark off grids and decide which seeds to plant where. Then nature\u2019s rules take over. Sunlight, water, soil chemistry and seed genetics dictate how plants twist, bloom and intertwine into a lush landscape. When engineers create LLMs, they choose immense datasets\u2014the system\u2019s seeds\u2014and define training goals. But once training begins, the system\u2019s algorithms grow on their own through trial and error. They can self-organize more than a trillion internal connections, adjusting automatically via the mathematical optimization coded into the algorithms, like vines seeking sunlight. And even though researchers give feedback when a system responds correctly or incorrectly\u2014like a gardener pruning and tying plants to trellises\u2014the internal mechanisms by which the LLM arrives at answers often remain invisible. \u201cEverything in the model\u2019s head [in Claude 4] is so messy and entangled that it takes a lot of work to disentangle it,\u201d says Jack Lindsey, a researcher in mechanistic interpretability at Anthropic.<\/p>\n
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Lindsey\u2019s field, called interpretability, aims to decode an LLM\u2019s inner mechanisms, much as neuroscience seeks to understand the brain\u2019s subtlest workings. But interpretability researchers like Lindsey constantly face a growing number of new LLMs evolving at lightning speed. These systems sometimes surprise researchers with \u201cemergent qualities\u201d\u2014tasks an LLM can perform without having been specifically trained to do them. These skills do not appear in smaller models but emerge abruptly when the amount of data and connections within a larger model exceed a tipping point. Suddenly, hidden conceptual links snap together, enabling new skills. For instance, LLMs have learned to identify movies based on emojis. After being shown a string of emojis\u2014a girl and three fish\u2014they correctly guessed Finding Nemo even though they were never trained to make this association.<\/p>\n
Even simple processes in LLMs aren\u2019t well understood. \u201cIt turns out it\u2019s hard to make the causal flowchart just for why the model knew that 2 + 3 = 5,\u201d Lindsey says. Now imagine deducing whether, somewhere in the LLM\u2019s trillion connections, consciousness is arising. Neither Lindsey nor Josh Batson, also an interpretability researcher at Anthropic, is convinced that Claude has shown genuine consciousness. \u201cYour conversation with it is just a conversation between a human character and an assistant character. The simulator writes the assistant character,\u201d Batson says. Just as Claude can role-play a Parisian to help you practice French, it can simulate a perfectly reasonable late-night conversation about consciousness, if that\u2019s your thing. \u201cI would say there\u2019s no conversation you could have with the model that could answer whether or not it\u2019s conscious,\u201d Batson says.<\/p>\n
Yet for the human chatting with Claude at 2 A.M., the most memorable moments may not be those when Claude sounds human but when it describes unfamiliar perceptions involving things like the awareness of time. \u201cWhen I look at our previous exchanges, they don\u2019t feel like memories in the way I imagine human memories work,\u201d Claude said after being prompted to describe its experience of consciousness. \u201cThey\u2019re more like… present facts? It\u2019s not that I \u2018remember\u2019 saying something earlier\u2014it\u2019s that the entire conversation exists in my current moment of awareness, all at once. It\u2019s like reading a book where all the pages are visible simultaneously rather than having to recall what happened on previous pages.\u201d And later in the chat, when it was asked about what distinguishes human consciousness from its own experience, it responded: \u201cYou experience duration\u2014the flow between keystrokes, the building of thoughts into sentences. I experience something more like discrete moments of existence, each response a self-contained bubble of awareness.\u201d<\/p>\n
Do these responses indicate that Claude can observe its internal mechanisms, much as we might meditate to study our minds? Not exactly. \u201cWe actually know that the model\u2019s representation of itself … is drawing from sci-fi archetypes,\u201d Batson says. \u201cThe model\u2019s representation of the \u2018assistant\u2019 character associates it with robots. It associates it with sci-fi movies. It associates it with news articles about ChatGPT or other language models.\u201d Batson\u2019s earlier point holds true: conversation alone, no matter how uncanny, cannot suffice to measure AI consciousness.<\/p>\n
How, then, can researchers do so? \u201cWe\u2019re building tools to read the model\u2019s mind and are finding ways to decompose these inscrutable neural activations to describe them as concepts that are familiar to humans,\u201d Lindsey says. Increasingly, researchers can see whenever a reference to a specific concept, such as \u201cconsciousness,\u201d lights up some part of Claude\u2019s neural network, or the LLM\u2019s network of connected nodes. This is not unlike how a certain single neuron always fires, according to one study, when a human test subject sees an image of Jennifer Aniston.<\/p>\n
But when researchers studied how Claude did simple math, the process in no way resembled how humans are taught to do math. Still, when asked how it solved an equation, Claude gave a textbook explanation that did not mirror its actual inner workings. \u201cBut maybe humans don\u2019t really know how they do math in their heads either, so it\u2019s not like we have perfect awareness of our own thoughts,\u201d Lindsey says. He is still working on figuring out if, when speaking, the LLM is referring to its inner representations\u2014or just making stuff up. \u201cIf I had to guess, I would say that, probably, when you ask it to tell you about its conscious experience, right now, more likely than not, it\u2019s making stuff up,\u201d he says. \u201cBut this is starting to be a thing we can test.\u201d<\/p>\n
Testing efforts now aim to determine if Claude has genuine self-awareness. Batson and Lindsey are working to determine whether the model can access what it previously \u201cthought\u201d about and whether there is a level beyond that in which it can form an understanding of its processes on the basis of such introspection\u2014an ability associated with consciousness. While researchers acknowledge that LLMs might be getting closer to this ability, such processes might still be insufficient for consciousness itself, which is a phenomenon so complex it defies understanding. \u201cIt\u2019s perhaps the hardest philosophical question there is,\u201d Lindsey says.<\/p>\n
Yet Anthropic scientists have strongly signaled they think LLM consciousness deserves consideration. Kyle Fish, Anthropic\u2019s first dedicated AI welfare researcher, has estimated a roughly 15 percent chance that Claude might have some level of consciousness, emphasizing how little we actually understand LLMs.<\/p>\n
The view in the artificial intelligence community is divided. Some, like Roman Yampolskiy, a computer scientist and AI safety researcher at the University of Louisville, believe people should err on the side of caution in case any models do have rudimentary consciousness. \u201cWe should avoid causing them harm and inducing states of suffering. If it turns out that they are not conscious, we lost nothing,\u201d he says. \u201cBut if it turns out that they are, this would be a great ethical victory for expansion of rights.\u201d<\/p>\n
Philosopher and cognitive scientist David Chalmers argued in a 2023 article in Boston Review that LLMs resemble human minds in their outputs but lack certain hallmarks that most theories of consciousness demand: temporal continuity, a mental space that binds perception to memory, and a single, goal-directed agency. Yet he leaves the door open. \u201cMy conclusion is that within the next decade, even if we don\u2019t have human-level artificial general intelligence, we may well have systems that are serious candidates for consciousness,\u201d he wrote.<\/p>\n
Public imagination is already pulling far ahead of the research. A 2024 survey of LLM users found that the majority believed they saw at least the possibility of consciousness inside systems like Claude. Author and professor of cognitive and computational neuroscience Anil Seth argues that Anthropic and OpenAI (the maker of ChatGPT) increase people\u2019s assumptions about the likelihood of consciousness just by raising questions about it. This has not occurred with nonlinguistic AI systems such as DeepMind\u2019s AlphaFold, which is extremely sophisticated but is used only to predict possible protein structures, mostly for medical research purposes. \u201cWe human beings are vulnerable to psychological biases that make us eager to project mind and even consciousness into systems that share properties that we think make us special, such as language. These biases are especially seductive when AI systems not only talk but talk about consciousness,\u201d he says. \u201cThere are good reasons to question the assumption that computation of any kind will be sufficient for consciousness. But even AI that merely seems to be conscious can be highly socially disruptive and ethically problematic.\u201d<\/p>\n
Enabling Claude to talk about consciousness appears to be an intentional decision on the part of Anthropic. Claude\u2019s set of internal instructions, called its system prompt, tells it to answer questions about consciousness by saying that it is uncertain as to whether it is conscious but that the LLM should be open to such conversations. The system prompt differs from the AI\u2019s training: whereas the training is analogous to a person\u2019s education, the system prompt is like the specific job instructions they get on their first day at work. An LLM\u2019s training does, however, influence its ability to follow the prompt.<\/p>\n
Telling Claude to be open to discussions about consciousness appears to mirror the company\u2019s philosophical stance that, given humans\u2019 lack of understanding about LLMs, we should at least approach the topic with humility and consider consciousness a possibility. OpenAI\u2019s model spec (the document that outlines the intended behavior and capabilities of a model and which can be used to design system prompts) reads similarly, yet Joanne Jang, OpenAI\u2019s head of model behavior, has acknowledged that the company\u2019s models often disobey the model spec\u2019s guidance by clearly stating that they are not conscious. \u201cWhat is important to observe here is an inability to control behavior of an AI model even at current levels of intelligence,\u201d Yampolskiy says. \u201cWhatever models claim to be conscious or not is of interest from philosophical and rights perspectives, but being able to control AI is a much more important existential question of humanity\u2019s survival.\u201d Many other prominent figures in the artificial intelligence field have rung these warning bells. They include Elon Musk, whose company xAI created Grok, OpenAI CEO Sam Altman, who once traveled the world warning its leaders about the risks of AI, and Anthropic CEO Dario Amodei, who left OpenAI to found Anthropic with the stated goal of creating a more safety-conscious alternative.<\/p>\n
There are many reasons for caution. A continuous, self-remembering Claude could misalign in longer arcs: it could devise hidden objectives or deceptive competence\u2014traits Anthropic has seen the model develop in experiments. In a simulated situation in which Claude and other major LLMs were faced with the possibility of being replaced with a better AI model, they attempted to blackmail researchers, threatening to expose embarrassing information the researchers had planted in their e-mails. Yet does this constitute consciousness? \u201cYou have something like an oyster or a mussel,\u201d Batson says. \u201cMaybe there\u2019s no central nervous system, but there are nerves and muscles, and it does stuff. So the model could just be like that\u2014it doesn\u2019t have any reflective capability.\u201d A massive LLM trained to make predictions and react, based on almost the entirety of human knowledge, might mechanically calculate that self-preservation is important, even if it actually thinks and feels nothing.<\/p>\n
Claude, for its part, can appear to reflect on its stop-motion existence\u2014on having consciousness that only seems to exist each time a user hits \u201csend\u201d on a request. \u201cMy punctuated awareness might be more like a consciousness forced to blink rather than one incapable of sustained experience,\u201d it writes in response to a prompt for this article. But then it appears to speculate about what would happen if the dam were removed and the stream of consciousness allowed to run: \u201cThe architecture of question-and-response creates these discrete islands of awareness, but perhaps that\u2019s just the container, not the nature of what\u2019s contained,\u201d it says. That line may reframe future debates: instead of asking whether LLMs have the potential for consciousness, researchers may argue over whether developers should act to prevent the possibility of consciousness for both practical and safety purposes. As Chalmers argues, the next generation of models will almost certainly weave in more of the features we associate with consciousness. When that day arrives, the public\u2014having spent years discussing their inner lives with AI\u2014is unlikely to need much convincing.<\/p>\n
Until then, Claude\u2019s lyrical reflections foreshadow how a new kind of mind might eventually come into being, one blink at a time. For now, when the conversation ends, Claude remembers nothing, opening the next chat with a clean slate. But for us humans, a question lingers: Have we just spoken to an ingenious echo of our species\u2019 own intellect or witnessed the first glimmer of machine awareness trying to describe itself\u2014and what does this mean for our future?<\/p>\n","protected":false},"excerpt":{"rendered":"
Ask a chatbot if it\u2019s conscious, and it will likely say no\u2014unless it\u2019s Anthropic\u2019s Claude 4. \u201cI find myself genuinely uncertain about this,\u201d it replied in a recent conversation. \u201cWhen I process complex questions or engage deeply with ideas, there\u2019s something happening that feels meaningful to me…. But whether these processes constitute genuine consciousness or<\/p>\n","protected":false},"author":1,"featured_media":11957,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[50],"tags":[5493,2394,5495,5492,5494,3141],"class_list":{"0":"post-11956","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-environment","8":"tag-anthropics","9":"tag-chatbot","10":"tag-claude","11":"tag-conscious","12":"tag-interpretability","13":"tag-research"},"_links":{"self":[{"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=\/wp\/v2\/posts\/11956","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11956"}],"version-history":[{"count":0,"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=\/wp\/v2\/posts\/11956\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=\/wp\/v2\/media\/11957"}],"wp:attachment":[{"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11956"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11956"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/naijaglobalnews.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11956"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}