Ethereum Institutional has completed its ecosystem funding round, led by BitMine, SharpLink, and Ethereum co-founders.

Beating AI Express, as more consumers start using Apple computers to create and run AI agents, Apple (AAPL.O) has unveiled new Mac Mini and Mac Studio models, equipped with upgraded chips and other AI-focused improvements. In its Tuesday announcement, Apple highlighted that its iPhone and Mac chips include dedicated components called Neural Engines for running AI models, plus a RAM architecture that eliminates partial memory bottlenecks. The new Mac Mini comes in two variants: M6 and M5 Pro, with starting prices of 6,999 yuan and 12,999 yuan respectively in China. Apple is positioning this device as a desktop PC ideal for "all-day agent computing", noting it can stay on a desk running AI agents long-term. The M6 is Apple’s first 2nm M-series chip, with both CPU and GPU boosted to 12 cores, and each GPU core now adds a neural network accelerator for the first time. Its AI performance reaches up to 4 times that of the M4 version. Memory starts at 16GB, maxing at 32GB, with bandwidth lifted to 170GB/s. Apple says LM Studio’s large language model prompt processing speed is up to 4.8 times faster than the M4. The pricier M5 Pro variant supports up to 64GB of unified memory and 307GB/s bandwidth, and Apple explicitly states it is suitable for long-term AI agent operation. Both models also get upgraded Wi-Fi 7, Bluetooth 6, and a 2.5Gb Ethernet port, with an official launch on September 22. Pricing has climbed significantly: the M4 Mac Mini launched in 2024 at just 4,499 yuan, rose to 5,999 yuan this year, and the new model now starts at 6,999 yuan.

According to market data from BIT (Bit.com), US stocks opened with all three major indices trading higher: the Dow Jones Industrial Average rose 0.36%, the S&P 500 gained 0.35%, and the Nasdaq climbed 0.65%. Storage-related stocks rebounded, with SanDisk (SNDK.O) up around 3% and SK Hynix (SKHY.O) rising roughly 3%. Alibaba (BABA.N) fell 0.6%, while Jack Ma and Joseph Tsai have successively increased their holdings.

Blockchain analytics firm Chainalysis has partnered with crypto industry institutions including Binance and Coinbase, along with global law enforcement agencies, to launch Operation Lighthouse, a multi-day investigation targeting networks involved in child sexual abuse material (CSAM). The operation is based at the U.S. National Cyber Forensics & Training Alliance (NCFTA) in New York, and collaborates with Europol, the Australian Federal Police, the Royal Canadian Mounted Police, the UK’s National Crime Agency, and other bodies, tracking related funds and digital identities through blockchain intelligence. Chainalysis stated that the investigation covered over 29,000 cryptocurrency addresses and digital identity markers, more than 100 relevant forums and online hubs, generating over 14,000 investigative leads. Suspects involved are spread across 125 countries and regions, with some previously registered as sex offenders. Gavin Sather, Binance’s Senior Project Manager for Anti-Child Sexual Exploitation, noted that blockchain’s inherent transparency makes it harder for criminals to remain hidden long-term when committing related crimes using crypto assets. An Europol official called on financial services, payment systems, social media, and internet platforms to strengthen collaboration to combat online child sexual exploitation crimes.

Beating AI News Flash: Fidelity Digital Assets’ latest research indicates AI agents are evolving from assisting financial tasks to directly engaging in financial markets. In the future, these agents may autonomously execute trades, arrange loans, manage investment portfolios, and process payments with limited human intervention. Fidelity identifies trading, lending, and asset management as the sectors likely to be impacted first. While payments boast massive transaction volumes, their low profit margins may not translate into equivalent economic value for infrastructure providers. The research also warns that the surge in AI-driven trading activity does not guarantee sustained value for all financial platforms. As AI agents independently seek lower costs and better execution across platforms, the truly competitive players will likely be those with deep liquidity, reliable data, clearing capabilities, and robust user networks. Fidelity further points out that as AI cuts the cost of financial software development, code itself may gradually become commoditized, while network effects—including liquidity, user base, trust, and regulatory compliance—will grow in importance. Additionally, large-scale autonomous trading by AI agents will spawn new inter-machine financial activities, such as purchasing computing power, data, and digital services, which will raise higher requirements for identity authentication, asset permissions, payment settlement, and auditable execution. Industry insiders believe that in the future, financial institutions will not only use AI as an internal efficiency tool, but also treat AI agents as new financial clients. Infrastructure that can deliver secure identities, real-time data, deep liquidity, and verifiable execution capabilities may emerge as a critical value-capturing layer in the AI-powered financial era.

The Canadian government will unveil its countermeasures against the latest U.S. tariff measures on local time Tuesday. Canadian Finance Minister and other senior officials will hold a press conference in Ottawa. Earlier, the U.S. imposed a 50% tariff on a large number of Canadian goods starting Saturday, following the breakdown of bilateral trade negotiations. Canadian Prime Minister Mark Carney had previously said Canada was prepared to take "tit-for-tat" countermeasures, but on Monday noted that given the U.S. economy is far larger than Canada's, the final plan may adopt more targeted measures rather than full reciprocal tariff hikes. Carney stated that the conditions the U.S. side put forward in the final stage of negotiations were "unfair and not in the economic interest". Meanwhile, rhetoric between the U.S. and Canada has continued to escalate. Ontario Premier Doug Ford publicly criticized Trump, who warned that Canada would face "even worse consequences" if it did not "comply". Trump further escalated his rhetoric on Tuesday, even threatening to rename Lake Ontario "Lake America". Markets are closely watching the specific scope of Canada's countermeasures, especially in core trade sectors such as automobiles, steel, aluminum and others. If the two sides continue to expand the coverage of tariffs, U.S.-Canada trade relations may further deteriorate, adding pressure to North American supply chains and inflation.

Despite the S&P 500 index falling 0.92% over the past five trading days, the Vanguard VOO ETF, which tracks the S&P 500 index, still drew around $4.3 billion in inflows. Year-to-date, VOO has accumulated approximately $69 billion in cumulative net inflows, ranking as the world’s top ETF by capital inflows, and on June 2, it became the first ETF to surpass $1 trillion in net asset value. Currently, VOO’s top 10 holdings account for roughly 37.6% of the fund’s assets, with NVIDIA and Apple making up about 7.55% and 7.05% respectively, giving the fund high exposure to large-cap tech stocks. NVIDIA is set to release its fiscal 2027 second-quarter results on August 26; market projections put its revenue at around $91.85 billion, while the company’s guidance is $91 billion ±2%. Apple will see a CEO handover on September 1, with John Ternus succeeding Tim Cook. The report notes that VOO’s sustained inflows this year reflect investors’ "buy the dip, hold long-term" strategy, though NVIDIA’s AI demand and Apple’s management transition could be key factors affecting VOO’s short-term performance. If NVIDIA’s earnings signal a slowdown in AI spending, or Apple’s CEO transition sparks concerns over its AI strategy, services business and capital allocation, VOO’s highly concentrated structure may amplify related volatility.