Graduate Student Uses Claude to Build AI Image Detection Experiment
A graduate student at The New School in New York has built a research experiment called InPixelsWeTrust.org in collaboration with Claude to study how people judge visual evidence online. The experiment focuses on understanding how certainty and accuracy diverge when evaluating images, particularly with the growing prevalence of synthetic media.
Experiment Details
The experiment follows a simple structure:
- Users get 6 rounds of testing
- For each round, they have 10 seconds to decide whether an image is real or AI-generated
- After each decision, users rate how confident they felt
The entire process takes under 2 minutes and is completely anonymous with no personal data collected. The researcher is seeking participation from a wide range of respondents beyond academic circles.
Technical Implementation
According to the source, Claude was involved at every stage of development:
- Front-end code and responsive design
- Data pipeline that sends all results to a Google Sheet for analysis
The researcher noted that Claude was "awesome to work with" throughout the collaboration. The website serves as a practical example of how AI coding assistants can be used to build complete web applications for research purposes, from user interface to data collection infrastructure.
📖 Read the full source: r/ClaudeAI
👀 See Also
Using Kimi K2.6 to Properly Uninstall macOS Apps by Finding Hidden App Directories
A developer describes using Kimi K2.6 to automatically find and delete macOS app directories, including hidden ~/.appname and ~/Library/Application Support files, with a custom agent that edits its base knowledge to improve the process.
Garlic Farmer Builds 19K-Line AI Agent System on Android Phone
A Korean garlic farmer has built a 19,260-line Python AI agent system called 'garlic-agent' that runs entirely on an Android phone using Termux. The system rotates between multiple AI providers, saves context in SQLite, and uses a manual copy-paste workflow for development.
Developer Builds Habit Tracker App with Claude AI, Earns First Revenue
A developer with no programming background used Claude Code to build a Matrix-themed habit tracker app with 47,000+ lines of code, generating $25 in revenue from 6 paying users in the first week of marketing.
A Prompt Pipeline Demonstrates Meta-Programming Properties
A developer built a four-stage prompt pipeline for an Electron app that structurally resembles a programming language, featuring typed contracts, control flow, and automatic documentation. The system fixed 17 bugs and refactored 1,218 lines of code in one day.