Edgen Crypto·Oct 25 2025, 08:30
[1] Bank of England Probes Data Mining Lending Fueling AI Bets (https://cointelegraph.com/news/bank-of-englan ...)[2] Bank of England probes data-mining lending strategies fueling AI bets - TradingView (https://vertexaisearch.cloud.google.com/groun ...)[3] Bank of England probes data-mining lending strategies fueling AI bets | MEXC News (https://vertexaisearch.cloud.google.com/groun ...)
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Nov 07 2025, 13:10
Commonware Secures $25 Million in Funding Led by Tempo to Advance Blockchain Payments
## Executive Summary Crypto infrastructure firm **Commonware** has secured **$25 million** in a funding round led by blockchain payment project **Tempo**, aimed at accelerating the development of faster blockchain payment methods and enhancing the crypto payment ecosystem. ## The Event in Detail **Commonware**, a company focused on building "state-of-the-art" blockchain primitives for network developers, recently closed a **$25 million** funding round. This latest investment was spearheaded by **Tempo**, a Layer-1 blockchain initiative backed by **Stripe** and **Paradigm**. Tempo is designed for stablecoin-based payments, utilizing stablecoins such as **USDC** for transaction fees and supporting AI-driven "agentic payments" to mitigate crypto volatility. **Matt Huang**, managing partner of Paradigm and a Stripe board member, leads the Tempo project. Prior to this, Commonware had raised **$9 million** in a seed round co-led by **Haun Ventures** and **Dragonfly Capital**. That round saw participation from notable cryptocurrency developers including **Smokey the Bera** of BeraChain, **Zaki Manian** of Cosmos, **Sreeram Kannan** of EigenLayer, **Dan Romero** of Farcaster, and **Mert Mumtaz** of Helius. The consistent investment reflects a rising valuation for Commonware, underscoring investor confidence in its infrastructure development capabilities. ## Market Implications This funding round is poised to significantly impact the efficiency and adoption of blockchain payment processing. The cryptocurrency payment ecosystem is experiencing rapid growth, with nearly **90% of businesses** now deploying blockchain for payment processing. This trend has contributed to a global user base exceeding **560 million**. The blockchain market size is projected to reach **$32.69 billion** by **2025**, driven by the technology's ability to deliver faster, more reliable transaction settlements. Blockchain-based payment processors notably reduce settlement times, often completing payments in seconds compared to days with traditional systems, marking an **88% reduction** in settlement durations. The enhanced infrastructure from Commonware, supported by Tempo, is expected to further accelerate these efficiencies, promoting wider adoption across enterprises, as over **80% of the world's largest companies** already utilize blockchain for operational advantages. ## Expert Commentary Market sentiment regarding developments in crypto infrastructure remains broadly **bullish**, with experts anticipating a positive impact on the broader crypto payment ecosystem. Analysts at **Galaxy Research** and **PitchBook** project a substantial increase in crypto venture capital funding, with totals expected to surpass **$18 billion** in **2025**. This anticipated growth is attributed to a combination of declining interest rates, increased regulatory clarity within the digital asset space, and a renewed interest from generalist investors. ## Broader Context Commonware's focus on foundational blockchain primitives aligns with a strategic shift towards enhancing the underlying architecture of Web3. The collaboration with Tempo highlights the increasing importance of Layer-1 blockchains specifically tailored for financial applications, with a strong emphasis on stablecoins for transactional stability. This approach reflects a broader industry movement towards digitizing global financial infrastructure, where AI-driven payment solutions aim to streamline processes and reduce reliance on volatile cryptocurrencies for everyday transactions. Such developments are crucial for fostering greater corporate adoption and integrating blockchain technology into mainstream financial operations.
Nov 07 2025, 12:32
Crypto Tracing Leads to Arrest in Global Child Abuse Network Takedown
## Executive Summary Law enforcement agencies from the United States, Germany, and Brazil, in collaboration with blockchain analytics firm **TRM Labs**, successfully dismantled a global child abuse network. This operation culminated in the arrest of a Peruvian national in Brazil, identified as the alleged administrator of the network. The investigation heavily relied on sophisticated crypto tracing techniques to uncover illicit financial pathways, despite the perpetrator's attempts to obscure transactions through various digital means. This case highlights the evolving capabilities of blockchain forensics in combating serious online crime. ## The Event in Detail A Peruvian national was apprehended in Brazil following a **TRM Labs**-led crypto-tracing operation. The individual was allegedly linked to German-hosted dark web child sexual abuse material (CSAM) networks. These platforms had amassed over **350,000 users** globally, distributing more than **21,000 illicit videos**, amounting to approximately **660 hours** of content and nearly **900,000 views**. Memberships for accessing this material were offered for as little as **$10**. The suspect employed various methods to conceal the financial trail, including the use of mixers, numerous wallets, and third-party accounts, while operating under fake identities. However, **TRM Labs'** analysis successfully connected fragmented digital identities and identified shared blockchain infrastructure linking the old and new platforms used by the network. Investigators traced payments from customers through intermediaries to final cash-outs at Brazilian crypto exchanges, providing critical evidence for the arrest. ## Market Implications This high-profile takedown demonstrates the increasing efficacy of blockchain intelligence in law enforcement operations. The transparency inherent in public blockchains, despite attempts at obfuscation, proved to be a critical asset for investigators. As **TRM Labs' Ari Redbord** noted, "By following the money, investigators were able to connect fragmented digital identities." The incident is expected to intensify the ongoing regulatory scrutiny of crypto privacy tools, such as mixers and certain privacy-focused cryptocurrencies. While tools like **Samourai Wallet** and **Tornado Cash** face enforcement actions, projects like **Zcash** are navigating a path toward regulatory flexibility with optional privacy models. The case may strengthen calls for enhanced due diligence from stablecoin issuers and associated entities (**USDT**, **USDC**, **DAI**) to detect and act against sanctions evasion and other illicit activities. Regulators are anticipated to demand greater ecosystem monitoring capabilities and the ability to detect red flags using blockchain analytics. ## Expert Commentary Law enforcement and financial intelligence units are expected to leverage blockchain analytics increasingly to combat illicit financial activity. The ability to trace funds, even through complex schemes involving multiple wallets and mixers, underscores a paradigm shift in digital forensics. This development places further pressure on cryptocurrency projects and exchanges to bolster their compliance frameworks and collaborate with authorities to prevent misuse of their platforms. ## Broader Context This operation exemplifies a growing trend where the transparent nature of blockchain technology, when combined with advanced analytics, becomes a potent tool against criminal enterprises. While some perceive privacy coins and mixers as enabling illicit activities, this case illustrates that comprehensive tracing can still yield results. The ongoing challenge for the Web3 ecosystem will be to balance innovation and user privacy with the imperative to prevent and prosecute financial crimes. The regulatory landscape will likely continue to evolve, with an emphasis on balancing privacy principles with robust anti-money laundering (AML) and counter-terrorist financing (CTF) measures, potentially shaping the development and adoption of both privacy-enhanced and transparent digital assets.
Nov 07 2025, 12:08
Columbia Study Reveals 25% Wash Trading on Polymarket
## Executive Summary Columbia University researchers have reported that approximately 25% of **Polymarket**'s trading volume over the past three years was due to wash trading, prompting platform acknowledgement and calls for enhanced market integrity measures. ## The Event in Detail A new study from Columbia Business School, led by Professor Yash Kanoria, indicates that a significant portion of trading activity on the decentralized prediction market **Polymarket** has been artificially inflated. The research, conducted over the past three years, attributes approximately 25% of all transactions on the platform to "wash trading." This practice involves a single entity simultaneously buying and selling an asset to create misleading volume metrics without actual change in ownership. The study further disaggregated the extent of wash trading across different market categories on **Polymarket**. Sports markets exhibited the highest manipulation, with 45% of their all-time volume identified as wash trading. Election markets followed at 17%, politics at 12%, and crypto-related markets showed the lowest impact, with only 3% of their volume attributed to wash trading. Despite these findings, **Polymarket** experienced a surge in activity in October, attracting over 477,000 active traders—a 48% increase from the previous month—and total trading volume surpassing $3 billion. ## Market Implications The revelation of substantial wash trading on **Polymarket** carries potential implications for investor confidence in decentralized prediction markets and could intensify regulatory scrutiny. While the study clarifies that the platform itself was not directly responsible for the wash trading, researchers suggest its design might have inadvertently enabled the manipulation. The findings could lead to a broader reevaluation of transparency and integrity mechanisms within the Web3 ecosystem, particularly for platforms that rely on reported trading volumes as a measure of activity or liquidity. **Polymarket** has acknowledged the study's findings, describing the situation as "unprecedented." A spokesperson for the platform stated a commitment to "build up systems, monitoring, and more to make sure this doesn't repeat itself," indicating an intent to implement robust safeguards. However, **Polymarket**, supported by **UMA**, has confirmed that past markets were resolved according to established protocols, and users will not be reimbursed for any previous market outcomes, despite some user backlash. ## Expert Commentary Professor Yash Kanoria and his team from Columbia Business School conducted the analysis, highlighting the prevalence of wash trading across various market categories on **Polymarket**. Their research provides specific data points, such as the 45% wash trading volume in sports markets and the 3% in crypto-related markets, offering a granular view of where such activities are most concentrated. The researchers noted that while **Polymarket** was not directly implicated in initiating the wash trades, the platform's structure potentially facilitated their occurrence.