AI-generated videos to maximally drive a target brain region
AI researchers have built “digital twins” of human visual brain regions and used them to evolve short AI‑generated videos that maximally activate specific areas, such as those responding to faces, motion or patterns. Commenters see clear scientific value for mapping brain function and potentially improving treatments or surgical planning, but are overwhelmingly worried about commercialization: ultra-optimized ads, addictive content, personalized propaganda and porn that exploit neural “superstimuli.” Others question how accurate such brain models can really be with today’s coarse imaging tools, arguing that current results are more modest than the Black Mirror–style scenarios being invoked.
Perceived Risks and Ethical Concerns
- Many see this as a step toward “cognitohazards” and visual superstimuli that could harm or reshape minds.
- Fears center on “row-hammering” brain regions, overworking circuits like stress does, and long-term unknown effects on mood, desire, and agency.
- Some argue this crosses a moral line: knowingly building tools to hijack neural circuitry for non-consensual influence.
- A few liken researchers to historical cases of morally blind scientists and call for much stricter ethics/IRB scrutiny in CS and neuroscience.
Advertising, Addiction, and Manipulation
- Dominant concern: adtech and social platforms using this to auto‑generate maximally addictive, individually optimized content (short‑form video, gambling, porn, kids’ content).
- Seen as a continuation of A/B‑tested fast food, children’s TV, and current feeds—just far more precise and automated.
- Several expect creators to be removed from the loop to keep all value with platforms.
Speculative and Sci‑Fi Analogies
- Thread is full of comparisons: BLIT, Snow Crash, Infinite Jest’s lethal entertainment, Blade Runner’s mood organ, Ludovico Technique, Hypnotoad, horror‑game lab logs.
- These are used both as warnings and as critiques of “Black Mirror panic.”
Technical Understanding and Skepticism
- Supportive commenters emphasize: this is a research tool. A digital twin (encoding model) is trained on fMRI responses to videos, then used to search for new videos that maximally activate chosen visual regions.
- Others are skeptical: fMRI is coarse, voxelwise models assume independence, and the paper (as described) optimizes only in the model, with limited shown validation in real brains.
- Some note the example videos look like unremarkable patterns or screen savers, not magical mind control.
Potential Beneficial Uses
- Proposed positive applications: mapping function before brain surgery, seizure intervention planning, neurorehabilitation, understanding visual areas, possibly better mental‑health treatments.
- A minority suggests “brain massage” or relaxation uses, but others counter that brains need rest, not more stimulation.
Technology, Incentives, and Regulation
- Recurrent theme: the problem isn’t the technique itself but capitalist incentives that push toward addiction, propaganda, and exploitation.
- Suggestions range from strong regulation or bans on mass use, to calls for a STEM “Hippocratic oath,” to personal digital abstinence; some are pessimistic any of these will be sufficient.