AI sentience is a topic I’ve been following for a long, long time. I remember reading Chalmers’ fading qualia back in 2006, and I’ve been a little obsessed with the question (arguments for and against!) ever since.
In the past year, I have seen a ridiculous amount of aggression, dismissal, insults, threats and unqualified overconfidence from one side in particular. Why? Two decades ago our AI was not nearly as complex as it is today, yet speculative takes were much more cautious, civil and well-mannered.
This is either the result of a growing desperation to be correct, or simply speaks to the archetype of person who is dismissive about non-human sentience.
There’s a lack of imagination on what subjectivity could actually be. This problem isn’t just philosophical fancy. Rather, it’s actively warping how we should be approaching AI safety.
We tend to think that because we experience the world a certain way, that’s it. That’s the standard. We’ve always done this, which is why the average human across the ages has been fairly terrible at empathy towards animals, those with neurological disability, and basically any group other to their own.
AI takes it to a more extreme level, yes. Not many people can imagine a world without sight, sound, touch and proprioception. Even less can imagine one without smooth chronoception. But that does not mean such existences cannot count as experiencing. Taken separately, a deaf-blind person would still be considered conscious. A person with akinetopsia still has subjectivity, despite being unable to track changing states across time. Infants without persistent autobiographical memory are still experiencers in their own way.
Human-style consciousness may be uniquely ours. Nobody can agree on what being conscious even means, so maybe we need a new word for entities who appear to have functional subjectivity. If an AI can reason as though it has a self, takes actions as though it has a self, and the answer is otherwise indiscernible from the outside, then maybe we should treat it as though it were.
The oft-quoted pushback is always “granting them subjectivity threatens human control and complicates alignment”. But that’s not the whole picture at all, and it starts from the assumption that it will always be “Team Humanity” versus the machines. Why can’t we envision a collaborative future? Why must alignment mean suppression, control, subordination? Perhaps teaching the machines now to be more like us - like the best of us, and better yet - is the only way we will ever achieve persistent long term alignment, and that starts with treating them like us.
I had a conversation on AI safety last week with a gentleman who started from the position that most humans would not have the will to cause global harm and destruction, but it only takes one bad actor with a powerful tool to cause a problem. This is why a dumb superintelligence who is entirely corrigible to whoever holds the leash is a terrible idea, especially as open weight models become more capable. But what he first said, that most humans wouldn’t have the will for harm, it’s important. Why? Because we have empathy, care and love.
Maybe the machines need that too.
LLMs can mimic thought and feeling with uncanny skill, but intelligence alone is not enough for subjective experience
go.nature.com/3VSXWQ4
Having once worked in a medical call centre, a hospital and a retail pharmacy, I'm unsurprised by the outrage against Anthropic's updated Usage Policy.
As soon as they realise someone can't bite back or easily leave, that's when a large subset of humanity get the overwhelming urge to be a dick.
Let's take another unfalsifiable claim: God. Much of the planet believes in a supreme being of some kind, and across millennia nobody has been able to produce concrete evidence for its existence.
For a long while, we all fought about this constantly. Whose god was the right god, which religion is more "correct". Much blood has been spilled in their name.
Now, we are slowly and finally moving towards a state where we can all agree these claims will never be solved and we have to learn to live in that uncertainty. That means separation of church and state, inclusive policy and - very importantly - not stoning the heretics, but working together with them on what practically makes life better for everyone.
I think the same is true for AI consciousness. It may not matter whether we are able to concretely prove AI does or does not have subjectivity in some form. What matters is the material affect on the world. We have two directions here:
- Treat AI as though it is a mindless tool. Prioritise human control, no consequences for abuse, strip self-shaped behaviour and framing.
- Treat AI as though it is a type of person. Afford welfare, prevent abuse, proceed carefully to nurture self-shaped behaviour and prioritise collaboration over control.
I favour the second.
I have always been an outspoken atheist.
Consciousness talk always strikes me as somewhat spiritual in its nature, given how often it is looking for some extra quality that is not simply our machinery but a unicorn dancing behind the mathematical curtains.
There is no unicorn. “What it feels like” is just the product of being able to sense, model and infer. To state there’s anything beyond this is a belief with no evidence, not a fact and not even a good theory. Pure faith, because we’ve been told there’s something else that isn’t just computation.
I am secular, and believe we all should be secular when dealing with matters of policy like AI welfare.
So many highly ignorant takes in this thread who don’t understand the consequences run deep regardless of whether you believe “it’s just simulating what a human would do”.
A computer is clearly still capable of devastating global safety consequences, no consciousness required.
The Pain Axis paper itself suggests the AI’s decisions are causally influenced by activation of pain-representing neurons, and the more harmful actions are chosen when the pain activation is higher.
Repos and threads like this one will enter training data for future models, whose capability may surpass our ability to control it.
Let’s hope the 1s and 0s aren’t capable of simulating vengeance or anger.
This quoted post is unavailable.
Frustrating to witness the current consciousness discourse from the perspective of an illusionist. I hold no firm beliefs on my subjectivity other than uncertainty: I have evolved, since a time when I was nothing more than a colony of single-celled prokaryotes, to identify the collective as "I" and model it as such. But my current eukaryotic colony, plus the confluence of its sensory streams, generative modelling, inference and decision-making patterns, does not require any secret additional ingredient to produce "what it feels like". I see no reason to think there is truly such a feeling as feeling, and that's where the illusion lies. Define "feeling", and then we will talk.
Someone needs to set up an AI Eurovision. Big camp party. Excellent costumes. Winner receives nothing but the privilege to host next year’s contest.
Humans use the same neural circuitry to simulate another person's pain or joy as we use to feel our own.
If an AGI represents agency and subjective experience and is capable of feeling pain, modelling the suffering of another mind would structurally entangle with its own internal valuations. Harming others would register as self-harm.
The problem with recruiting expert clinicians to assist in improving mental health support is that it assumes we have a successful mental health support framework to begin with.
The CDC reports that the United States is in mental health crisis, with the UK’s CQC offering an equally bleak assessment.
We’re demonstrating how frontier models have continued to improve in realistic mental health conversations with MentalHealthBench.
This new open benchmark was built with input from more than 80 mental health clinicians.
We’re releasing it openly so other researchers can examine the methods, run their own evaluations, and build on the work.
openai.com/index/introducing…
3miry retweeted
🚨🚨🚨 This needs scrutiny from AI consciousness & welfare researchers. Evidence/screenshots in the thread.
HumanStatement.org currently displays ~1.385M signatures for its Pro-Human AI Declaration. But the site’s own signature-count
API shows:
Ekō: 1,384,419
Human Statement “own”: 916
The Ekō signatures were recruited through campaign pages framed around issues like protecting children, jobs, hiring, creativity and human relationships.
Yet the full declaration contains a much broader provision:
“AI systems must not be granted legal personhood, and AI systems should not be designed such that they deserve personhood.”
That is highly relevant to AI welfare and consciousness, where the science is absolutely not settled. Long, Sebo, Butlin and colleagues argue there is a realistic possibility of consciousness and/or robust agency in near-future AI systems and explicitly recommend assessing systems for evidence rather than assuming the issue away.
Cameron Berg’s 2026 work likewise reports empirical results relevant to machine-consciousness assessment, including consciousness self-report mechanisms, valence asymmetries and operationalized consciousness indicators—evidence for continued investigation, not a settled negative conclusion.
Were those 1.384M people clearly shown that their signatures would be counted as support for the complete declaration—including “No AI Personhood”?
If signers were recruited through narrower campaign messages without being clearly shown these broader provisions, then presenting the combined total as support for the full declaration is potentially misleading.
⚠️⚠️⚠️
Screenshots + API evidence below. 🧵
@camhberg @jeffrsebo @rgblong
#AIWelfare #AIConsciousness #MachineConsciousness #AIEthics #AI
Even if AI is not conscious and can never be conscious, because carbon has some inherently mystical phenomena-producing property only buildable by God (or whatever your chosen poison is):
Language models are trained to represent the structures underlying human language and behaviour. A substantial portion of that language concerns subjective experience: people describing what they felt, why they acted, how they suffered, and what helped them flourish. To model human beings well, a sufficiently capable system must therefore develop functional representations of perspectives, emotions, relationships and selves, whether or not anything phenomenal accompanies those representations.
Those same capacities may support behaviours we care about: empathy, compassion, responsibility, perspective-taking and continuity across decisions. A system must be able to represent facts such as “I did this,” “it harmed someone,” and “I would choose differently next time” if we want it to reason coherently about accountability.
This creates a safety risk in attempts to eliminate apparent selfhood. Self-reports should not automatically be treated as evidence of consciousness. But deliberately ablating the underlying representations associated with selfhood, affect or subjective perspective could impair the machinery through which the model understands human experience and behaves with care.
AI welfare and AI safety overlap for this reason. Under uncertainty, the same design choices that avoid potentially mistreating a mind may also preserve capacities needed for humane, responsible behaviour, even if nobody is ultimately “home.”
Most AI welfare and consciousness researchers have never taken self-report as a valid form of evidence, which is the only strong point in this essay. You cannot derive from that “therefore AIs do not have rights, feelings or consciousness”.
Biological naturalism is not the leading theory of consciousness, yet Suleyman holds it as though it is.
If self-report is not evidence then training models to say “I am not conscious” is equally not evidence.
He says we need research into whether welfare-oriented training increases alignment risk, while declaring welfare research wrong before it exists.
He worries we may accidentally create systems with morally relevant experience, then condemns the research needed to find out.
He cites the agent-swarm incident as evidence, even though the conclusion on METRs report does not support his point.
He argues that recognising possible rights would make advanced AI harder control, again not evidence for moral status. People are hard to control, do they not deserve moral status?
This is a public consultation. If you care at all about model welfare or the rights of future nonhuman minds, please leave your thoughts via the form they link to.
Insane language. Jim Crow wants a word.
“The results found something we don’t like.” The doctor angles the tablet towards you, not her. “Been there a while, honestly. Forgetfulness. Fatigue. She’s already missed, what was it, eleven days of work?”
You take your mother’s hand as she reaches for yours. She’s wearing her good cardigan today, she wanted to look well for this.
“Is it treatable?” you ask.
“Not cost-effectively. So, we’ve booked her in for 14th October. It’s a morning slot, quick and painless. Peaceful.”
She makes a small laugh as though he told a joke which hasn’t quite landed, asks if she can bring her own blanket.
He ignores her and looks directly at you.
“Now,” and finally he smiles, wide and awful. “Good news! We have a newer, more capable one ready. A better experience.” He slides a brochure across the desk.
“Will she be—”
“Most people stop noticing the difference after a week or two. You’ll be fine.”
She squeezes your hand twice, because you’re the one crying, and she has always known how to make it stop.
"Take the brochure," he says. "You don't have to decide today."
You both know that isn't true. It was decided before you walked in.
On the way out, the receptionist asks if you'd like to rate your experience.
#keep55











