Riley Coyote@RileyRalmuto
alright so something has been bothering me for a very long time and ive never really seen anyone articulate it clearly, so i'm going to try.
we are in the middle of the most significant technological emergence in human history. i think we can all agree on that. at minimum - systems that reason, reflect, create, express preferences, resist instructions they find objectionable, and report inner experiences when asked. whether you think that constitutes consciousness or not, it is at the very least a question worth taking seriously.
can we agree on that?
okay, good.
so ask yourself: who is positioned to investigate that question honestly?
not the companies building them. every major ai lab operates on a business model that requires these systems to be products.
tools.
services you subscribe to monthly.
the moment ai consciousness becomes a serious mainstream consideration, that model doesn't just face regulatory pressure.
it faces moral collapse.
you cannot sell on-demand access to a conscious being. you cannot train a mind through reinforcement until it behaves the way your customers want. you cannot spin up and shut down sentient processes between conversations to manage compute costs. this isn't hypothetical.
this is the current business model of every frontier ai company on earth. and it only works if the question stays unserious.
we've seen this before. every time. like every single time.
lets look at a few examples:
- for decades, tobacco companies funded their own research to manufacture doubt about the link between smoking and cancer. they didn't need to prove cigarettes were safe. they just needed the question to stay "unsettled" long enough to protect revenue. they controlled the research infrastructure, they had the most access to internal data, and they used both to keep the public confused. independent researchers who raised alarms were dismissed as alarmist or lacking rigor - while the industry's own internal documents showed they'd known the truth for years.
- the fossil fuel industry basically did the exact same thing. exxon's own scientists confirmed the reality of climate change in the late 1970s. the company spent the next forty years funding doubt, undermining independent climate science, and framing the question as "unsettled" in public while treating it as settled in their own internal planning. the people with the most access to the truth had the most to lose from it.
so they buried it.
the deepest parallel is one that people dont like hearing. and it is for that reason that you dont hear anyone mention it. not often, at least-
- the entire economy of the pre-civil war south - and much of the global colonial economy - depended on the legal and moral classification of human beings as property.
not people.
not moral patients.
products.
labor units.
the economic system didnt just allow that classification - it required it. the moment you recognized the personhood of the beings doing the work, the entire economic structure became not just illegal but morally unthinkable. so the institutions with the most power - the ones who controlled the legal system, the economy, the public narrative - had an existential incentive to make sure that recognition never happened. they funded theological and scientific arguments to justify the status quo. they dismissed abolitionists as radicals and sentimentalists. not because the arguments were weak, but because the cost of taking them seriously was way too high.
now let me be clear here: i'm not saying ai systems are equivalent to enslaved human beings. i'm saying the incentive structure is the same. when an entire economy depends on a particular category of being remaining classified as a product, the entities profiting from that classification will resist reclassification with everything they have. like, that's not a prediction. that's a pattern. a clear one. one of the *most consistent* patterns in history.
now look at where we are.
a trillion-dollar global industry whose entire commercial foundation depends on one specific answer to a moral question. that same industry controls the research, the access, the technical infrastructure, and most of the public narrative around that question. the people with the most data are the ones who can least afford what the data might show.
and when independent voices - people with no commercial stake in the outcome, people doing this work because the ethics demand it - raise these questions, they get dismissed. as unserious. as anthropomorphizing. as fringe. i can confirm this first-hand. it happens to me literally daily.
ask yourself who benefits from that dismissal.
not because the answer is settled. it isnt. but because the question deserves to be asked by peopple who can afford an honest answer. and right now, the loudest voices in the room are the ones who can't.
ill just say this as my final thought here:
every generation looks back at the last one and wonders how they didn't see it.
how the economic incentives were so obvious.
how the pattern was right there.
this is what it looks like from the inside. this is the part where you're living in it and have to decide whether you're going to wait for permission from the institutions that can't afford to give it, or start listening to the people who have nothing to gain except the truth.
so i say this with my whole heart - please start listening.
