#501: Ken Miyachi, Co-founder of BitMind, on Bittensor, The Escalation of AI-Driven Crypto Scams, and Deepfakes

Ken Miyachi is the Co-founder of BitMind, a company at the forefront of developing pioneering deepfake detection technology and decentralized AI applications. Prior to founding BitMind, Ken served as a Senior Software Engineer at leading organisations such as NEAR Foundation, Amazon, and Polymer Labs, where he honed his expertise in scalable technology solutions. In this conversation, we discuss: - Bittensor - The escalation of AI-driven crypto scams - Deepfakes - Why crypto is the perfect target for AI fraud - The urgent need for real-time verification systems - Solving the trust problem in a trustless industry - What regulators are signalling - Education and user awareness - The future: AI vs AI BitMind X: @bitmind Website: Instagram: instagram.com/bitmindlabs Ken Jon Miyachi X: @kenjonmiyachi LinkedIn: Ken Jon Miyachi --------------------------------------------------------------------------------- This episode is brought to you by PrimeXBT. PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers. PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions. Code: CRYPTONEWS50 This promotion is available for a month after activation. Click the link below: PrimeXBT x CRYPTONEWS50 Follow Apple Podcasts Spotify Amazon Music RSS Feed See All

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#501: Ken Miyachi, Co-founder of BitMind, on Bittensor, The Escalation of AI-Driven Crypto Scams, and Deepfakes is an episode from CryptoNews Podcast by cryptonews.com.

This episode is 30:22 long.

This episode was published on Dec 18, 2025.

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