{"schema_version":"onlylabs.public_signal.v1","title":"Microsoft Repo: microsoft/MNW","description":"Microsoft repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/0dfe1061-a7ac-40d6-9563-3d117282398f","json_url":"https://onlylabs.fyi/signals/0dfe1061-a7ac-40d6-9563-3d117282398f/signal.json","generated_at":"2026-06-27T00:36:36.098Z","evidence_latest_fetched_at":"2026-06-22T07:04:24.374675+00:00","signal_first_seen_at":"2026-06-22T07:00:31.308446+00:00","org":{"slug":"microsoft","name":"Microsoft","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/microsoft","dossier_json_url":"https://onlylabs.fyi/labs/microsoft/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/0dfe1061-a7ac-40d6-9563-3d117282398f","signal_json":"https://onlylabs.fyi/signals/0dfe1061-a7ac-40d6-9563-3d117282398f/signal.json","source":"https://github.com/microsoft/MNW","lab_dossier":"https://onlylabs.fyi/labs/microsoft","lab_dossier_json":"https://onlylabs.fyi/labs/microsoft/dossier.json","analysis":"https://onlylabs.fyi/analysis/microsoft","analysis_json":"https://onlylabs.fyi/analysis/microsoft/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/microsoft/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Microsoft published microsoft/MNW. This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo microsoft/MNW · Low traction (17 stars), routine repository.. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","signal_desk":"repos","source_context":{"source_url":"https://github.com/microsoft/MNW","source_host":"github.com","occurred_at":"2025-11-20T22:45:49+00:00","first_seen_at":"2026-06-22T07:00:31.308446+00:00","date_source":"source","context":null},"context_markers":[{"label":"Lab","value":"Microsoft","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"microsoft/MNW","source":"source"},{"label":"Stars","value":"17","source":"traction"},{"label":"Notability","value":"Low traction (17 stars), routine repository.","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Data pipeline","source":"evidence"},{"label":"Watch 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has source host github.com."},{"subject":"microsoft/MNW","predicate":"has repository","object":"microsoft/MNW","text":"microsoft/MNW has repository microsoft/MNW."},{"subject":"microsoft/MNW","predicate":"has stars","object":"17","text":"microsoft/MNW has stars 17."},{"subject":"microsoft/MNW","predicate":"has notability","object":"Low traction (17 stars), routine repository.","text":"microsoft/MNW has notability Low traction (17 stars), routine repository.."},{"subject":"microsoft/MNW","predicate":"has watch term","object":"Eval methodology","text":"microsoft/MNW has watch term Eval methodology."},{"subject":"microsoft/MNW","predicate":"has watch term","object":"Data pipeline","text":"microsoft/MNW has watch term Data pipeline."}]},"intelligence":{"signal_desk":"repos","answer":"Microsoft published microsoft/MNW. This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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We updated our dataset! - [spring update April 2026] 🆕 **NEW!** You can now browse and take a peek at our dataset on the navigator: https://microsoft.github.io/MNW/ 👋 Welcome to MNW Benchmark Dataset This repository contains the MNW dataset (*Microsoft-Northwestern-Witness*) and/or associated code for benchmarking AI-detection models across images, video, and audio. :warning: Notice **This dataset is intended for evaluation purposes and cannot be used for training or for commercial purposes.** Why do we need a new benchmark? The detection of AI generated media and deepfake has been an active area of research for almost a decade. But in the past few years, a new paradigm has emerged with the diffusion architecture, showing impressive achievements in audio, image and video generation. Previous approaches to detection are now obsolete and the detection scene must re-invent itself. 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