A **bitcoin wallet dormant since 2013** has suddenly moved **500 BTC, worth $31.3 million**, sparking speculation of a security-driven migration following the **Coldcard hardware wallet hack**. The transaction, flagged by on-chain tracker Whale Alert, is part of a broader wave of old coins shifting on-chain in the same narrow window.

## A Wake-Up Call for Long-Dormant Holders

The wallet labeled 18TExP, inactive for 12.7 years, transferred its entire stash on Monday. When the coins last moved, they were worth roughly $500,000. Now, they're worth over $31 million. While moving coins doesn't inherently reveal intent, the timing is telling.

Blockchain sleuth Lookonchain noted on X: "Wallet 18TExP, holding 500 BTC ($31.27M), transferred all 500 BTC to a new wallet 1 hour ago after over 12 years of inactivity. The owner may have moved the funds to a new wallet due to security concerns following the Coldcard hack."

## The Coldcard Hack Fallout

Since July 30, attackers have drained thousands of BTC from Coldcard-generated wallets, exploiting a flaw dating back to March 2021. According to Galaxy researchers, total damage has reached approximately **$130 million in BTC**. The hack has dented confidence in self-custody safety, leading some investors to move funds back to exchanges.

## Not an Isolated Incident

Data from CryptoQuant reveals a clear spike in old-coin movements. Coins dormant for **10 years or longer** saw roughly 935 BTC move on Aug. 3, the largest single-day total since March 20. Meanwhile, coins dormant for 5-7 years saw a much larger spike, with **6,388 BTC moving on July 31**.

While old coins move for various reasons—estate transfers, exchange consolidations, custodial migrations—the clustering of large, long-dormant movements immediately following the Coldcard incident suggests holders are proactively migrating funds for security reasons.

As the situation unfolds, the crypto community watches closely to see if this trend continues, potentially signaling a shift in how long-term holders approach self-custody in an era of increasing threats.

A dormant bitcoin wallet holding $31 million moved for the first time since 2013, amid a wave of old coins shifting on-chain following the Coldcard hardware wallet hack.

12-Year-Old Bitcoin Wallet Moves $31M Amid Coldcard Hack Panic

A groundbreaking study has revealed a staggering problem in cancer research: an AI model has flagged over 250,000 studies as potentially fake. This discovery is reshaping the scientific community's approach to peer review, turning it into a high-tech arms race.

## The Scale of the Problem

Researchers at Queensland University of Technology (QUT), led by biostatistician Adrian Barnett, developed a **BERT-based 'scientific spam filter'** to screen 2.6 million cancer studies published between 1999 and 2024. The AI, trained on 2,202 retracted papers linked to paper mills, identified **261,245 papers (9.87%)** with suspicious writing patterns.

The problem is growing: the proportion of flagged papers rose from **1% in the early 2000s to over 16% by 2022**. Certain cancer types are more affected, with gastric cancer at 22%, bone cancer at 21%, and liver cancer at 20%.

## Industrial-Scale Fake Research

Paper mills, companies that sell fake or low-quality studies, are producing research on an industrial scale. Barnett warns that the problem is likely larger than detected, as the AI only catches specific templates. More sophisticated fakes could slip through.

## AI vs. AI: The New Peer Review

Three scientific journals are already testing this AI screening technology. The system achieved **91% accuracy** in identifying suspicious papers, but the fight is now one AI against another. As fake research becomes more advanced, editors must deploy increasingly sophisticated tools to protect the integrity of science.

## Real-World Impact

The stakes are high: fabricated studies can mislead clinical trials, drug development, and patient care. By catching fake research early, this AI could save lives and accelerate genuine medical progress.

AI flagged 261,245 cancer studies as possibly fake, pushing journals to deploy AI tools to strengthen peer review.

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