How do I get a detection result for an image?

You can submit an image to the platform and receive a verdict from thousands of verified humans. Results are accessible on the web, through RSS, or directly from the API.

Is this just a game, or can I use it as a service?

It works as both: you can play a game where you guess whether images are AI and track your score, or integrate it as a service via API or RSS for detecting images programmatically.

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Crowd-Sourced AI Image Detection Launches as Game and API

Hacker News3h ago

Key takeaway

A new platform has launched that crowdsources AI image detection by having thousands of verified humans decide whether submitted images are AI-generated or real, with results delivered via web, RSS, or API. Unlike automated detection tools, it relies on transparent human judgment rather than proprietary algorithms.

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3 Key Points

What happened
A new platform has launched that uses crowd-sourced human judgment to detect whether images are AI-generated or real. Users can submit images and receive verdicts from thousands of people, accessible via web, RSS, or API, rather than relying on automated classification systems.
Why it matters
As photorealistic AI images become harder to distinguish from real photographs, transparent human verification offers an alternative to black-box automated detectors. This crowd-based approach may appeal to businesses and developers who want verifiable, human-reviewed answers rather than opaque algorithmic scores.
What to watch
The platform packages detection as both a game (where users guess and track their score) and a service (API and RSS access), making AI detection engagement-based and accessible to developers.

Context & Analysis

The platform addresses a real friction point in the current AI landscape: the difficulty of reliably detecting photorealistic AI-generated images and the opacity of automated detection systems. By packaging detection as crowd-sourced human judgment rather than a black-box classifier, it trades scalability for transparency—users get a verdict they can understand ("thousands of eyes decide") rather than a confidence score from an automated model. The dual packaging as both a game and an API suggests the creator is testing multiple distribution channels: engagement-driven adoption for individuals, and API access for developers and businesses that need programmatic detection.

This model reflects growing skepticism about the reliability of purely algorithmic approaches to content authenticity. For a non-technical audience, the key implication is that human-verified detection may offer more trustworthiness than automated alternatives, though at the possible cost of speed or scale. The platform's reliance on "verified humans" suggests some quality-control mechanism, though the body does not detail how that verification works.

FAQ

How do I get a detection result for an image?: You can submit an image to the platform and receive a verdict from thousands of verified humans. Results are accessible on the web, through RSS, or directly from the API.
Is this just a game, or can I use it as a service?: It works as both: you can play a game where you guess whether images are AI and track your score, or integrate it as a service via API or RSS for detecting images programmatically.

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