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What we're actually learning
about AI detection.

No vendor spin. Just data, independent research, and honest takes on what works โ€” and what doesn't โ€” in AI content detection.

Why Every AI Detector Claims 99% Accuracy (And What Independent Testing Actually Shows)

GPTZero, Originality.AI, and Copyleaks all advertise 99% accuracy. Independent researchers consistently measure 85โ€“92%. We dug into the methodology gap โ€” and found it's not just marketing spin. It's a fundamental problem with how accuracy is measured, reported, and weaponized against users.

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How to Detect AI-Generated Images in 2026

AI image generators have gotten so good that even experts struggle to tell real from fake. We cover what visual inspection still catches, where it fails at scale, how detection APIs work, and why a multimodal approach outperforms any single tool.

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How to Detect AI-Generated Voice and Deepfake Audio in 2026

Voice cloning now requires 3 seconds of audio and costs under $5/minute. We cover the deepfake audio problem, technical tells that still work, detection methods from spectral analysis to neural classifiers, and why multimodal context beats any single-tool approach.

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Multi-API Aggregation vs Single-Model Detection: Why Averaging Scores Buries the Signal

Many "multi-API" detectors just average scores across providers and call it consensus. We explain why this approach systematically reduces detection sensitivity โ€” and what aggregation should actually look like.