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

CryptoNews Podcast

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

CryptoNews Podcast
•December 18, 2025•30 min
0
CryptoNews Podcast•Dec 18, 2025

Key Takeaways

  • •Deepfake detection market accelerating due to hyper‑realistic AI tools.
  • •BitMind uses BitTensor subnet to crowdsource detection models.
  • •AI‑generated receipts cause significant corporate expense fraud.
  • •Scammers employ long‑term deepfake voice/video attacks on crypto deals.
  • •Ethical AI content generation relies on watermarking and C2PA standards.

Pulse Analysis

The episode opens with a stark reminder that generative AI tools like Nano Banana and Sora have pushed deepfake fidelity to a point where even seasoned digital natives struggle to tell real from synthetic. Ken Miyachi explains how BitMind tackles this arms race by running an open‑source competition on the BitTensor subnet, incentivizing a global pool of developers to produce ever‑more accurate multimodal detection models for images, video, and audio. This decentralized approach shortens the data‑to‑model pipeline, allowing rapid response to emerging threats while keeping the technology transparent and community‑driven.

Beyond the technical showcase, the conversation dives into concrete business risks. BitMind’s enterprise API and white‑label solutions are already being deployed to flag AI‑generated receipts, a problem that currently accounts for roughly 14 % of expense‑report fraud and threatens corporate cash flows at scale. The hosts also detail sophisticated crypto‑scam vectors: deepfake voice and video impersonations that persist for months, hijacked Telegram accounts, and AI‑crafted phishing content that can manipulate high‑value transactions. By integrating detection directly into communication tools, companies can mitigate these attacks before they reach financial systems, reinforcing a critical layer of cybersecurity.

Looking ahead, Miyachi stresses that trust in digital information hinges on ethical AI practices. BitMind embeds C2PA watermarks into generated content, enabling provenance tracking and reinforcing user confidence. The decentralized model of BitTensor exemplifies how the crypto ethos can safeguard AI development, distributing power away from a handful of megacorpors. For business leaders and investors, the takeaway is clear: adopting robust deepfake detection and watermarking now is essential to protect brand integrity, financial assets, and the broader social contract as generative AI continues its exponential growth.

Episode Description

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: www.bitmind.ai

Instagram: instagram.com/bitmindlabs

Ken Jon Miyachi

X: @kenjonmiyachi

LinkedIn: Ken Jon Miyachi


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