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Ripple
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Ripple Helps Build Real-Time Crypto Crime Response System

by admin August 22, 2025


Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

Ripple has signed on as a founding member of the Beacon network, a system built to spot and stop crypto theft as it happens.

It’s a move that puts a big-name company behind a new, automated method for tracking stolen funds. Short answer: it tries to catch criminals before they cash out.

Beacon Offers Real-Time Alerts

According to TRM Labs, the Beacon network watches flagged addresses and follows funds as they move from wallet to wallet and across different blockchains.

The system sends real-time alerts to exchanges and financial firms when suspicious coins approach points where they might be cashed out.

That means transfers can be noticed 24/7, and alerts arrive before funds leave an exchange. It’s not just a fancy tracker; it is made to act as an early warning system for companies that can freeze assets quickly.

Ripple is proud to be a founding member of @trmlabs’ Beacon Network — a first-of-its-kind real-time crypto crime response network.

Working with industry & law enforcement, Beacon helps stop illicit funds before they exit the blockchain.

Learn more: https://t.co/6Yp7IpY6Dd https://t.co/EQ0b9yFkks

— Ripple (@Ripple) August 20, 2025

Major Exchanges Join In

Reports have disclosed that several major platforms are already on board. Ripple, the San Francisco-based payments firm, sits alongside OKX, Crypto.com, and Anchorage Digital as inaugural members.

TRM Labs also secured cooperation from Binance, Coinbase, and Kraken to share the real-time status of flagged addresses. The more firms that share information, the harder it becomes for launderers to slip through the gaps.

This kind of cooperation speeds up investigations and gives law enforcement a better shot at recovering stolen coins.

Total crypto market cap currently at $3.81 trillion. Chart: TradingView

Real-World Pressure Test: The Bybit Heist

According to reports about the February hack on Bybit, a gang tied to North Korea’s Lazarus Group made off with about $1.5 billion.

That case shows why Beacon’s approach matters. Hackers used cross-chain tactics and quick movement to wash funds.

When time is on the side of the thieves, freezing assets later often comes too late. Beacon aims to change that by alerting exchanges while the trail is still fresh.

Gaps Remain Around Stablecoins

Not everyone is a participant yet. TRM Labs did not list stablecoin issuers Tether and Circle among the initial collaborators. That’s important because stablecoins move a lot of stolen value and can be the vehicle for quick exits.

If major stablecoin issuers don’t link into the system, criminals may still find ways to route funds through liquidity pools and corners of the market that aren’t watching. This is a weakness Beacon will need to close if it wants real effectiveness.

Featured image from Unsplash, chart from TradingView

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.





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August 22, 2025 0 comments
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Google's Big Leap Forward for Real-Time Translations Is Deepfaking Your Voice
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Google’s Big Leap Forward for Real-Time Translations Is Deepfaking Your Voice

by admin August 20, 2025


I can’t count the number of times I’ve been promised the Next Big Thing in app-enabled translation. Since the dawn of Google Translate, it’s felt like tech companies (not just Google, but Samsung and Apple, too) have been teasing a future where speech can be translated instantaneously, allowing for near-seamless communication between people from *sarcastic SpongeBob voice* across the world. But the truth is, that future, however enticing on paper, hasn’t exactly panned out.

As incredible as apps have gotten at translating speech and text with a fairly high degree of accuracy, they haven’t quite risen to the speed and cadence of real-life conversations. Designing a translation tool that can keep pace with our mouths (like, actually talking) isn’t an easy feat. We talk fast, and we expect even faster responses, which makes live translation less of a marathon than a sprint, or I guess more accurately, a sprint that could be a marathon in length.

Given that long promise of snappy, useful, real-time translation, I’m conditioned to roll an eye or two when live translate enters into a keynote, which is exactly what I did during Google’s annual Pixel hardware event. This year, though, that eye roll might not be warranted. At its Made by Google keynote, Google showcased a feature that not only translates your speech in real time, but also deepfakes your actual voice (also in near real time) so that the person on the other end can hear you speaking in their native language. And yes, it works in the inverse, too. That’s right, just two deepfakes talking to each other; nothing to see here, folks.

And the extra wild part is Google was so confident in its new live translation feature that it offered up a live demo, which, I’m not going to lie… it kind of nailed? Gizmodo’s Senior Editor, Consumer Tech, Raymond Wong, captured the whole thing live at Google’s keynote. For your viewing pleasure, Jimmy Fallon’s voice deepfaked into Spanish:

Wow, Jimmy Fallon’s voice was translated—deepfaked—into Spanish on Pixel 10… and it worked fast and accurately. Even getting inflections correct. This is the quiet game-changing AI feature… translations pic.twitter.com/SAXeowCXpE

— Ray Wong (@raywongy) August 20, 2025

I was also watching along from home during this segment, and my partner, who’s Spanish-speaking and bilingual, confirmed that Google’s new AI translate feature seemed to ace the assignment, inflections and all. Don’t get me wrong, I still want to test those translation features for myself, but from the looks of it, Google is off to a pretty amazing start here.

Powering those translation abilities is Gemini Nano, a compact version of Google’s increasingly iterated-upon large language model and the Pixel 10’s Tensor G5 chip. Google says its Nano model and the translation feature are run on-device in this case, which means that nothing—including your calls—gets teleported to the cloud while you’re translating. That makes its new feature less icky, and I say “less” in this case because let’s be honest, this thing is still deepfaking your voice.

Truthfully, if Google’s new translation feature wasn’t happening on-device, I might be a little worried. As cool as it is, the thought of having a facsimile of your voice stored on a server somewhere is a bad one, given the fact that people use biometrics for all sorts of important digital security, banking included. And in a way, on-device or not, the feature is still creepy. Apparently we’re at the stage of instantaneous voice deepfakes. Just imagine what AI can do with a little bit of time and training.

But more than anything, I’m impressed by what Google showed off today, especially as someone who’s watched tech companies overpromise on translation features for years at this point. It’s still too early to declare that Google has hit the Holy Grail of real-time translation, but for once, I’m left thinking that the idea of seamless, phone-enabled translations has actually taken a major leap forward. So, consider my eye roll officially rescinded, Google.





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August 20, 2025 0 comments
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