They See Your Photos
An online tool that claims to show what tech companies can infer from your photos is drawing scrutiny for producing wildly inaccurate, stereotype‑driven profiles while still nailing basics like race, age, and sometimes location via EXIF data or visual cues. Commenters see it as part marketing stunt, part fearmongering: technically weak and “horoscope‑like” on specifics, yet still a useful reminder that platforms may mine photo libraries to infer income, politics, religion, and biases—even if those inferences are wrong. Several note that the real concern isn’t precision today, but how such flawed profiling could be combined with other data and used for ad targeting or opaque decisions about individuals.
Perceived Accuracy and Behavior
- Most users report the tool is wildly inaccurate beyond obvious visual facts (age band, race, clothing, rough setting).
- Personality traits, income, religion, politics, sexuality, and “biases” are often incorrect, contradictory, or mutually inconsistent across runs.
- Same photo uploaded twice can yield different personality and bias profiles; different photos of same person can yield opposite traits.
- Many liken it to horoscopes, astrology, or Mad Libs: vague, generic, sometimes accidentally resonant, but not systematically reliable.
Geolocation and EXIF Debate
- Several users saw surprisingly precise location guesses (e.g., specific landmarks), which some attribute to EXIF metadata.
- Others stripped EXIF and still got good or at least plausible geolocation, suggesting visual geoguessing from background cues.
- Some users, however, saw completely wrong countries or cities, especially for nature scenes.
Bias, Stereotyping, and Harmful Inferences
- Outputs frequently lean on demographic stereotypes: race, age, clothing, and setting strongly drive assumptions about income, religion, political affiliation, and even criminality or substance abuse.
- Many examples show offensive or absurd attributions (e.g., casteism, racism, addictions, low self-esteem, specific party alignments) with no visible justification.
- Sexual orientation is usually defaulted to heterosexual; queer couples or individuals are misclassified.
- Users characterize it as a “stereotype machine,” with repeated canned labels like confirmation bias, in‑group bias, ageism, classism.
Purpose, Messaging, and Trust
- Some see the site as dishonest fear‑mongering or “rage‑bait,” exaggerating current capabilities to scare users about big tech.
- Others argue the accuracy isn’t the point: it illustrates the kinds of inferences companies might attempt and how wrong guesses could still affect people when embedded in opaque decision systems.
- There is concern it doubles as an advertisement for a competing encrypted photo service and possibly a data‑collection honeypot; several users refuse to upload real or friends’ photos.
Broader Reflections on AI Profiling
- Commenters note that existing trackers, purchase history, and browsing behavior likely provide much stronger targeting signals than such image-based psychometrics.
- Some worry that even partially accurate guesses, when combined with other data, could significantly enhance profiling.
- A minority find the demo “fascinating” or illuminating, preferring such capabilities to be visible to the public rather than hidden.