BitMind
Deep Fake Detection System
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About BitMind
BitMind is a platform focused on detecting synthetic media, judging whether an image, video, or audio clip was produced by a generative model. Its detection models run on Bittensor subnet 34 and are selected through a continuous adversarial competition: discriminative miners submit models, generative miners produce increasingly convincing fakes, validators score submissions against a shared benchmark, and the best performer is deployed into the product.
Because generators and detectors evolve together under one incentive scheme, the models do not depend on a fixed human-labeled dataset to keep up with new generation techniques, and scoring happens inside validators so request data is not sent outward. The consumer side includes a web app, a browser extension, and mobile apps where a file upload or pasted link returns a result, plus an interface for bulk calls; the enterprise offering emphasizes zero data retention, extraction and verification of content credentials, and on-premise deployment options.
BitMind launched version 5.0.0 on Bittensor subnet SN34 on September 6, 2026, introducing the King of the Hill incentive mechanism approved by the Triumvirate. Emissions, which had been paused after Round 23, resumed under the new model: the current winner in each modality receives 85% of that modality's emissions, while the two previous winners receive 10% and 5% respectively.
BitMind's new rules also enforce a one-submission-per-hotkey limit and release scores instantly to curb spam and tokenomics abuse; the discriminator miner burn drops to zero six hours after the subnet goes live. Scores are published instantly, and holdout data is released when benchmark versions are updated.
Ken Miyachi — Co-Founder & CEO; former Senior Tech Lead at NEAR Foundation; founded LedgerSafe; ex-Amazon engineer.
Dylan Uys — Co-Founder & Head of AI; ML engineer at ViaSat and Poshmark.
Canh Trinh — Head of Engineering; former Engineering Lead at Axelar; ex-JP Morgan and Deutsche Bank.