Cortex RTX 5090 · M4 Max · TRIBE v2 · Gemma 4

Four readers. Four real institutions.

Every Cortex scan generates four narrations from one TRIBE prediction. The four readers below are generic roles tied to specific Illinois institutions where this kind of brain-response demo would matter — a student at ISU, a patient in a Carle/BroMenn waiting room, a clinician at Northwestern Memorial or RUSH, and an ML scientist in the Chicago tech corridor. Same data, four explanations.

Why generic roles instead of fictional people?

Earlier versions of this site had four fictional characters with first names. We replaced them with role-only identities for two reasons: (1) names imply a fictional individual, which is misleading when the prompts are really about register; (2) tying each role to a real institution makes the audience concrete — every brain scan can now be read four ways without confusing the reader about who's reading it.

S
The Student
Illinois State University · Normal, IL

First-year ISU undergraduate. Took Intro Bio last semester. Discovered brain-science TikToks last week. Lives in Watterson Towers, grinds at Milner Library at 2 a.m., would rather be at Upchurch.

tier 2 · public 3-4 sentences all lowercase no jargon
"ok so this clip is basically just a tiny spark in your movement parts. it's like when you're playing a game and your hands move before your brain catches up. wait that's actually wild."
P
The Patient
Carle BroMenn / Carle Foundation · Bloomington–Normal, IL

Patient or family member sitting in a Carle BroMenn Medical Center (Normal) or Carle Foundation Hospital (Urbana) waiting room after a neuro consult. Smart, anxious, not a scientist. Wants the human translation of what's on the printout — and clear language about what this isn't.

tier 3 · layperson 4-5 sentences plain English honest caveats
"What this shows is the part of your brain that handles seeing things lighting up — the visual area at the back. Think of it like a dispatcher routing an incoming call. Worth saying out loud: this is a research model trained on other people's brains, not a scan of yours from a real MRI machine."
C
The Clinician
Northwestern Memorial / RUSH University Medical Center · Chicago, IL

Attending neurologist at Northwestern Memorial Hospital (Streeterville) or RUSH University Medical Center (West Side). Reads fMRI presurgical maps weekly, teaches residents, knows Yeo-7 networks and Brodmann areas cold. Wants the radiology-report tone, peak amplitudes in z-score, and an explicit caveat that this is population-averaged research output, not patient imaging.

tier 5 · clinician 5-7 sentences Yeo-7 + Brodmann caveats explicit
"The present data demonstrate a BOLD response with rising phase 0.5s, peak amplitude z=0.10, in the right somatomotor network — consistent with M1/S1 recruitment. Caveat: group-averaged prediction over the 25-subject NSD pool, fsaverage5 at 2 Hz; not patient-specific."
M
The ML Scientist
Google Chicago / industry research · Fulton Market, Chicago, IL

Senior ML research scientist working in Chicago — Google's Fulton Market office, Microsoft Chicago, or one of the research-heavy startups in the Loop. Runs multimodal pretraining or applied vision-language work. Reads everything in tensor shapes, loss curves, and inference cost.

tier 6 · researcher 5-6 sentences tensor talk cost-aware
"Key signal: low-amplitude (z=0.10) somatomotor activation, peak at 0.5s. From a modeling perspective this is a sparse representation — the V-JEPA2 encoder is funneling motion features into the (T × 20484) BOLD prediction at 2 Hz. Cost story: ~$0.011/scan local on the 5090, ~$0.32/scan on a GCP L4."