/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
Tech news intelligence API
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

days · browse · Enter similar · o open

A test of five AI-image detection tools finds they tend to struggle with altered and low-quality images and sometimes fail even when an image is obviously fake

New York Times

Discussion

  • @gfiorelli1 Gianluca Fiorelli on x
    Fantastic articles by the @nytimes with tons of tests showing how AI generated images can pass (or not) an “AI generated test”, and what happens in case of real images: https://www.nytimes.com/... h/t @seostratega
  • @ndiakopoulos Nicholas Diakopoulos on x
    This article frames the challenge as classifying images as “real” or “fake” but that's the wrong way to think about using AI here. We need AI systems with interfaces that explain to forensic analysts what features are indicative of fakeness or realness: https://www.nytimes.com/..…