Darknet Diaries cover image

Darknet Diaries

147: Tornado

Jul 2, 2024
Geoff White, an investigative journalist and author known for his work on organized crime and technology, dives into the thrilling world of cryptocurrency heists. He details the monumental $625 million theft from Axie Infinity and the challenges faced in laundering the stolen crypto. The conversation also unpacks the controversial Tornado Cash, a tool for privacy that raises ethical questions about accountability and surveillance. With insights from his book "Rinsed," Geoff highlights the evolving landscape of digital crime and its far-reaching implications.
01:25:33

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The significant challenges faced by digital assets in determining ownership and control in the online realm.
  • The legal dilemmas surrounding Tornado Cash, highlighting the intricate balance between privacy protection and potential misuse for money laundering.

Deep dives

The Intriguing Theft of Artwork from the Isabella Stewart Gardner Museum

An artwork, not much larger than a regular paper and worth millions, was stolen from the Isabella Stewart Gardner Museum. The heist, which occurred in 1990, remains unsolved despite a $10 million reward. The stolen art, valued at $500 million, was the largest single art theft in history. Despite its size and value, the stolen artwork's significance raises questions about the monetary worth of art.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode