The Art and Science of Brainrot
The one thing you need to know in AI today | AI-Ready CMO
Creativity has always been the comfortable mystery of our industry. We talk about it the way medieval doctors talked about the humors: seriously, with a lot of vocabulary, and with the quiet understanding that nobody really knows what’s going on in there. You can feel when an ad works. You can argue about why at length over expensive matcha.
But quantify it? Predict it? That was for people who didn’t understand The Craft.
Well. About that.
Two weeks ago, Meta open-sourced TRIBE v2, a foundation model trained on over 1,000 hours of fMRI recordings from 720 volunteers watching movies, listening to podcasts, and reading text. Feed it a video and it predicts, second by second, how 70,000 points in a human brain would light up in response. Meta’s own research shows TRIBE v2’s predictions are often more representative of the typical neural response than any single actual fMRI scan, because real scans are noisy and the model strips the noise out. It’s a digital mirror of attention itself.
You can try it, today. It requires minimal technical knowledge, not much more than knowing where to click. And it’s free.
A marketer on X ran an already-edited UGC video through the model, saw exactly where brain engagement spiked and where it flatlined, moved the high-engagement moments earlier, cut the dead zones, and reposted. The re-edit did 221,100 views. Previous videos from the same creator were doing a small fraction of that. One pass, minimal effort. A file of predicted neural activity acting as the world’s most honest focus group.
This is the part where a think-piece like this usually pivots to “of course, the human touch still matters.” We’re not going to do that, because we don’t think it’s true for much longer.
What TRIBE v2 really represents is the moment when creativity stops being a mystery and starts being a measurable signal with a loss function. You can A/B test against a brain now.
And once you can do that, somebody will build the pipeline that does it automatically—twenty variations in, one brain-optimized winner out.
The logical endpoint is a world where the threshold of attention becomes impossibly high. Every piece of content you encounter will have been pre-screened against a model of your own neurology. The dull bits, the setup beats, the moments a human editor would have left in because they felt right—gone, because the simulated cortex didn’t light up.
Everything that survives will be optimized brainrot in the literal sense: content engineered to keep predicted neural response elevated from frame one to frame last. Good luck launching a slow-burn campaign into that feed.
We’re honestly not sure how to feel about this. It’s the most interesting thing we’ve read in weeks, and also a reasonable preview of a future we’re not particularly looking forward to. The craft we romanticized is about to get a measurement layer, and measurement layers have a way of collapsing taste into whatever the metric rewards.
But, there is a silver lining.
The skill that still isn’t quantifiable is deciding what to make in the first place: the strategic judgment about what deserves to exist.
Hold onto that one tightly.
It’s the last part of the job the brain scanner doesn’t have an opinion on yet.
— Torsten and Peter
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