Auteur/autrice : Alberto

Key takeawaysOn June 14, 2025, Vietnam’s National Assembly approved the Law on Digital Technology Industry, effective Jan. 1, 2026.Vietnam’s crypto regulation is part of a broader effort to meet FATF standards after being gray-listed in 2023 due to AML/CFT deficiencies.The law distinguishes between crypto assets (e.g., Bitcoin, Ether) and virtual assets (non-financial digital items), excluding CBDCs and securities.The law mandates identity checks, transaction monitoring and reporting obligations to detect and prevent digital asset fraud, addressing enforcement gaps.On June 14, 2025, Vietnam’s National Assembly passed the Law on Digital Technology Industry, signaling a significant shift in how the country manages digital…

Singapore-based cloud Bitcoin miner BitFuFu has logged its most significant production month for the year, attributed to an expanded mining fleet. BitFuFu said on Monday it mined 445 Bitcoin in June, representing an 11.3% month-over-month increase for the firm. It said that 387 Bitcoin (BTC) came from cloud mining and 58 from self-mining.Leo Lu, chairman and CEO of BitFuFu, said June has been its “most productive month of 2025,” which he attributes to the “continued expansion of our mining fleet.”In January, BitFuFu said it had signed a two-year agreement with mining hardware giant Bitmain to purchase up to 80,000 Bitcoin miners. BitFuFu…

Most people use the weekend to unwind, not Jack Dorsey, CEO of Bitcoin tech firm Block and former CEO of what was then Twitter. Dorsey spent this past weekend building a messaging app that exclusively communicates via Bluetooth. “My weekend project: to learn about Bluetooth mesh networks, relays, and store and forward models, message encryption […]

An analyst has pointed out three key resistance levels for Dogecoin that could be to keep an eye on, based on on-chain data. Dogecoin URPD Shows These Price Levels Stand Out In a new post on X, analyst Ali Martinez has shared DOGE levels that could be important resistance boundaries. The levels in question correspond to major supply walls on the Dogecoin UTXO Realized Price Distribution (URPD). The URPD is an on-chain indicator from the analytics firm Glassnode that tells us about the total amount of the memecoin’s supply that was last purchased at the different price levels that it…

Friends, As the year of the Merge ends, we wanted to share updates from many of the Ethereum gardeners and EF-supported teams that achieved long sought accomplishments, both big and small, alongside the rest of the ecosystem in 2022. We all have a lot to be thankful for, from the new communities we’ve come to know, to having each other through it all! As always, this roundup series focuses on EF-supported teams whose members are working to grow and improve Ethereum as a whole. Included in this edition are updates from many teams highlighted in the previous report, and other…

Image Credit: Jeffrey Lau Macau authorities have initiated a public consultation process regarding a proposed comprehensive ban on all forms of gambling advertising. The move marks a significant regulatory development in one of the world’s most prominent gaming jurisdictions, as officials seek to address concerns about the social impact of gambling promotions and the protection of vulnerable populations. Keep Reading New Zealand unveils landmark online casino licensing regime with 15 permits up for grabs Portugal’s online gambling market sees first revenue dip in nearly three years The consultation, announced by Macau’s government, is designed to gather feedback from the public,…

Aayush Jindal, a luminary in the world of financial markets, whose expertise spans over 15 illustrious years in the realms of Forex and cryptocurrency trading. Renowned for his unparalleled proficiency in providing technical analysis, Aayush is a trusted advisor and senior market expert to investors worldwide, guiding them through the intricate landscapes of modern finance with his keen insights and astute chart analysis. From a young age, Aayush exhibited a natural aptitude for deciphering complex systems and unraveling patterns. Fueled by an insatiable curiosity for understanding market dynamics, he embarked on a journey that would lead him to become one…

The US Securities and Exchange Commission has accepted Trump Media’s application for a Bitcoin and Ethereum exchange-traded fund, starting the clock for the agency to approve or reject the proposed fund. The ETF proposes offering investors exposure to Bitcoin (BTC) and Ether (ETH) through shares listed on NYSE Arca backed by the crypto assets, with 75% allocated to Bitcoin and 25% to Ether, according to the filing. Foris DAX Trust Company, doing business as Crypto.com, will act as the custodian, and asset management firm Yorkville America Digital will act as the fund’s sponsor.  The filing comes amid a flood of other crypto ETF…

Today, CleanSpark, Inc. (Nasdaq: CLSK) announced it mined 685 bitcoin in June 2025, generating over $61 million in revenue from 578 BTC sold at an average price of $105,860. This surpassed the month’s volume weighted average price (VWAP) by $446. Introducing $CLSK’s June Bitcoin mining update as of June 30, 2025: *Bitcoin produced in June: 685*Operational hashrate: 50.0 EH/s**First Bitcoin miner to achieve milestone entirely through fully self-operated infrastructure ⭐️**9.6% month-over-month increase 💫*Average… pic.twitter.com/cJsQ50rAcB— CleanSpark Inc. (@CleanSpark_Inc) July 7, 2025 “Our initial strategies went live, and we are seeing positive proof of concept results in our actively managed spot sales program and derivative overlay,” stated the…

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.While an accounting firm’s LLM might excel at summarizing financial reports, that same model could fail unexpectedly if tasked with predicting market trends or identifying fraudulent transactions.To make LLMs more adaptable, MIT researchers investigated how a certain training technique can be strategically deployed to boost a model’s performance on unfamiliar, difficult problems.They show that test-time training, a method that involves temporarily updating some of a model’s inner workings during deployment, can lead to a sixfold improvement in accuracy. The…