A brief history of AI and why some AI researchers believe the technology they have built is sentient or conscious despite no evidence
Robots can't think or feel, despite what the researchers who build them want to believe. — As the sun set over Maury Island, just south of Seattle …
Context & Ripple Effects
This New York Times feature lands at the center of a running argument inside the field itself: builders who claim their systems are sentient versus critics who say the claim has no evidentiary basis. The counterpoint arrived later in TIME's argument that LLMs lack the physiological states needed for sensations like hunger or pain, so subjective experience is off the table for them — a direct rebuttal to the belief this piece documents.
The piece also sits atop a longer-standing governance vacuum: as far back as 2021, researchers were warning that ethical oversight in AI falls mostly to peer reviewers rather than dedicated institutions, unlike other scientific fields. The sentience debate is what happens when that thin oversight layer meets systems powerful enough to make their own creators uncertain about what they have built.
First-order effects
- Researchers making sentience claims now face a public credibility test against critics like TIME's physiological-states argument, splitting the field's public voice between believers and skeptics.
Second-order effects
- The absence of formal review structures — flagged by researchers worried about ethical oversight falling to peer reviewers — pushes the burden of adjudicating these claims onto journalists and individual scientists rather than institutions.
Third-order effects
- If builder beliefs keep outrunning evidence while regulatory frameworks lag, as security researchers noted in interviews about AI's destructive potential, the field's self-policing norm hardens into the de facto standard for deciding what these systems are — with no external arbiter.
The trend: As AI capability claims accelerate faster than evidence or regulation, disputes over machine consciousness are becoming the visible symptom of a field governing itself through researcher opinion rather than institutional oversight.