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The crypto investment firm YZi Labs announced the launch of EASY Residency Season 5, a 10-week acceleration program for early-stage innovative projects, which includes 5 weeks of online phase and 5 weeks of offline residency in Thailand, culminating in a Demo Day. Accommodation, meals, and workspace are fully covered, allowing founders to focus on building.Priority investment directions include programmable capital and on-chain markets, stablecoin payment infrastructure, computing and trusted agent systems, embodied AI, emerging AI interfaces, and AI × Bio. Selected projects can receive up to $500,000 in investment (including a $150,000 SAFE for 5% equity and an additional $350,000 unlimited SAFE), with the opportunity to secure up to $2 million in additional investment. The application deadline is September 13 at 23:59 (GMT-7).

OpenAI has appointed its second Chief Revenue Officer in less than a year, with Dali Rajic succeeding Dennis Dreiser. This move shows that the company is working to strengthen sales growth in preparation for a Wall Street listing.OpenAI President Greg Brockman stated that the revenue run rate in July increased by over 20% month-over-month, and the enterprise customer business grew by 32%.

On August 12, institutional digital asset lending technology provider Digital Prime Technologies announced a strategic investment from global institutional digital asset prime broker LTP. LTP will become its chief strategic partner in the Asia-Pacific region, helping the Tokenet platform expand institutional participation in the Asia-Pacific market.Tokenet is Digital Prime Technologies' institutional-grade digital asset and tokenized asset lending platform. Following this investment, LTP will work alongside previously joined EquiLend, Galaxy Digital, and Marex to promote the global institutional infrastructure development of Tokenet. LTP stated that it will leverage its network of institutional clients, prime brokerage capabilities, and financing expertise to accelerate the adoption of Tokenet among financial institutions in the Asia-Pacific region.

The Gate Research Institute recently reported on "The TradFi Battle of Cryptocurrency Exchanges: Gate CFD's Path to Cross-Asset Breakthrough," indicating that since 2026, cryptocurrency trading platforms represented by Gate have been accelerating their breakthrough of digital asset boundaries, with CFD business becoming the primary trading entry point connecting stablecoin funds and global traditional assets. As user demand for trading and hedging in gold, foreign exchange, stocks, indices, and commodities grows, industry competition has shifted from merely competing on leverage and trading varieties to a comprehensive contest of asset coverage, liquidity, execution quality, risk management, and capital efficiency.In this round of TradFi expansion, Gate is forming a clear first-mover advantage. According to publicly available data, Gate accounts for approximately 39.4% of the trading volume among the five platforms that have disclosed TradFi transaction amounts, completing its transition from catching up to leading in just two months, becoming the largest top-tier platform. More notably, Gate's layout is no longer limited to increasing CFD categories but is based on USDT and a unified account entry, connecting CFDs, perpetual contracts, stocks, ETFs, IPO Access, and wealth management, while further accommodating professional and institutional funds through tools such as API, copy trading, OES, and CrossEx. Whether Gate can convert its temporary transaction advantage into long-term liquidity, capital retention, and professional service capabilities in the next phase will be key to whether its TradFi strategy can form a sustainable barrier.

Trader Ansem (@blknoiz06) posted on the X platform stating that currently, there are tens of billions of dollars in stablecoin funds on-chain waiting to re-enter the risk asset market. Ansem believes that in the coming weeks, market participants will gradually realize that mainstream crypto assets (Majors) do not need to reach new historical highs, and capital rotation may occur earlier.He stated that as stablecoin funds flow back into the risk asset market, the market may welcome a stronger upward trend.

The Token expenditure price index has fallen to 1.1635, continuing to decline since peaking at the end of May (the high of 2.0651 on May 28), with a cumulative drop of 43.7% over two months. This price has fallen below 1.2446 at the end of 2025, officially setting a new low for the year, marking the return of AI computing power pricing to the starting point of this expansion cycle.Note: The sale of Tokens is currently an important source of monetization for the AI industry, and its price is one of the signals measuring the current supply and demand situation for computing power. If the Token price remains high, cloud service providers will be motivated to purchase more GPUs, DRAM memory, and expand data centers; conversely, they need to be cautious of AI companies "downgrading consumption," which could become a leading indicator of the end of this hardware frenzy cycle. Token price data is sourced from top global AI models such as OpenAI, Anthropic, and DeepSeek.

According to a report by CNBC, the latest research published in the academic journal "Review of Accounting Studies" shows that among U.S. taxpayers holding virtual currencies, the actual proportion of those reporting transactions to the federal government is only 32% to 56%.As the IRS will require intermediaries to submit virtual currency tax forms "Form 1099-DA" starting in 2025, discrepancies between reports from businesses and taxpayer filings will be more easily identified by authorities. In the first year, the form only needs to report total earnings, while the obligation to report cost basis will officially be included starting in 2026.

According to a16z crypto, the monthly spending on crypto payment cards has grown from a niche scale to $759 million. These cards allow users to pay with cryptocurrency in all scenarios that support traditional card organizations, with stablecoins converted to local currency at the point of sale, making it no different for merchants than regular card transactions.As of July 31, looking at the spending composition from various card programs, RedotPay has long held the majority share, while EtherFi, KAST, Karta, and others have gradually increased their share since the end of 2025. a16z crypto states that crypto cardholders do not need traditional bank accounts and can deposit stablecoins with the issuer or hold them directly through self-custody. These cards have expanded global users' access to dollar accounts and provided a convenient spending method for stablecoin holders.

A spokesperson for Nvidia (NVDA.O) responded to market rumors about its accelerated entry into the telecommunications operator market and its search for base station manufacturer partnerships in China, stating that the report is unfounded and the description is inaccurate.Previously, there were reports that Shenzhen Jiaxian Communication Co., Ltd. was involved in the collaborative development of Nvidia's 6GAI-RAN base stations.

The research organization SemiAnalysis released an analysis indicating that Google DeepMind is no longer among the leading AI laboratories. A week prior, DeepMind co-founder Demis Hassabis stepped back from daily operations, and key members such as Google Chief Scientist Jeff Dean and Gemini co-lead Oriol Vinyals left to establish a new lab called Discovery Loop. The analysis suggests that the long-term struggle within Google over computing power allocation between Gemini and GCP has concluded with GCP emerging victorious.SemiAnalysis stated that Gemini 3.5 Pro has been canceled, and Gemini 3.6 Flash's performance is inferior to that of leading Chinese open-source models and Grok 4.5. Currently, Gemini has fallen to the 8th or 9th position in the large model rankings. Meanwhile, GCP is selling a large number of TPUs to competitors like Anthropic, having secured long-term leasing and sales contracts for hundreds of thousands of TPUs over the past nine months. The Tokenomics model estimates that Gemini's own ARR is about $12 billion, while GCP's third-party AI cloud service revenue is expected to exceed $73 billion by the end of 2027, with TPU system sales contributing an additional over $120 billion. GCP's latest quarterly growth rate is 82%, and it is expected to accelerate to over 100% by 2027 due to TPU system sales, contributing approximately $3 to Google's earnings per share.

Japanese NAND manufacturer Kioxia is accelerating its layout in the AI NAND market. This year, it has launched mass production of the 10th generation (BiCS 10) 332-layer 3D NAND and based on this, introduced the PCIe 6.0 supported data center eSSD "CM10," which has improved sequential read performance by up to 92% compared to the previous generation. In addition, Kioxia plans to start mass production of UFS 5.0 embedded storage by the end of this year, with data transfer speeds approximately doubling compared to UFS 4.1, primarily targeting the AI mobile device market. According to TrendForce data, Kioxia's global NAND market share in the first quarter of this year was 13.9%, ranking third, following Samsung Electronics (31.6%) and SK Hynix (17.6%).Korean manufacturers are also quickening their pace. Samsung has begun mass production of the PCIe 6.0 eSSD "PM1763" last month, equipped with the 9th generation V-NAND and a 4nm controller, with plans to mass produce UFS 5.0 in the fourth quarter. Samsung also announced that it will start mass production of the 10th generation V-NAND (approximately 430 layers) this month, applying hybrid bonding and triple stacking technology for the first time. Industry analysts believe that Kioxia is quite competitive in terms of the speed of technological iteration, but its production capacity still lags behind Korean manufacturers, and competition in the AI storage market will become even more intense in the future.

Jensen Huang announced on the X platform the launch of Alpamayo 2 Super, a cutting-edge open-source inference model developed by NVIDIA for the autonomous driving field. Jensen Huang stated that Alpamayo 2 Super can not only "see" the environment but also understand and reason about the complex world, thinking before acting, and can serve as the core model for robot taxis, autonomous trucks, shuttles, delivery vehicles, agricultural machinery, and future large-scale mobile robot systems.The model will be based on OpenMDW-1.1 and made available for commercial use, allowing developers and enterprises to inspect, fine-tune, and deploy the model. Jensen Huang mentioned that open models help promote the safety and reliability of autonomous driving systems. He stated that the next wave of artificial intelligence will belong to robotics, and autonomous vehicles will be an important starting point for this trend.

According to Jinshi reports, OpenAI has partnered with private equity firm Clearlake Capital to accelerate the adoption of artificial intelligence in the Clearlake portfolio.

CryptoQuant analyst Darkfost posted on the X platform, stating that short-term holders (STH) transferred over 32,000 BTC to exchanges, and all these bitcoins were sold at a loss.This event has become one of the largest short-term holder loss sell-off events in the past 30 days. It indicates that market chips are shifting from more confident long-term holders to short-term holders.

Jiang Yi, Director of the Policy Research Office of the National Development and Reform Commission, stated at a press conference on July 31 that in the first half of the year, China's pace of independent innovation in artificial intelligence has accelerated. Domestic companies such as Deep Exploration and Dark Side of the Moon have successively released open-source large models with parameter scales reaching "trillion" levels, and the global download volume of domestic large models has surpassed 10 billion times. The next step will focus on strengthening research and development in cutting-edge areas such as the basic theory of large models, training and inference efficiency, multimodality, and intelligent agents, and accelerating the layout and construction of national artificial intelligence application pilot bases, while vigorously cultivating intelligent derivative enterprises.Jiang Yi pointed out that there will be a coordinated approach to high-quality development and high-level security, accelerating the legislative process of the "Artificial Intelligence Law", constructing a "development---regulation---security" closed-loop system, establishing and improving technical monitoring, risk warning, and emergency response mechanisms, and adhering to the development concept of "human-led, for human use, and benevolent to humanity," actively responding to the impact of artificial intelligence on economic operation and employment distribution.

According to Jinshi, inflation in Tokyo, Japan has accelerated for the second consecutive month, making it likely that the Bank of Japan will raise interest rates again in the coming months. Data from the Ministry of Internal Affairs and Communications shows that the core CPI in Tokyo rose by 1.9% year-on-year in July, higher than the market expectation of 1.8%. The "core-core CPI," which excludes fresh food and energy, increased by 2%, and the overall CPI also rose by 2%. Takeshi Minami, chief economist at the Norinchukin Research Institute, stated that inflation is expected to remain above 2%.

BSC and 0G ecosystem's largest AI economic infrastructure company NeoSoul announced plans to launch the world's first highly customizable Agentic Trading framework, helping users build AI Agents that can make autonomous decisions and trade independently.As AI capabilities rapidly improve, more and more traders are beginning to use Agents to assist in trading. However, currently, building a trading Agent that can operate stably over the long term still presents a high barrier to entry. NeoSoul hopes to lower the threshold for users to utilize autonomous trading Agents through its innovative Agent trading framework.NeoSoul chooses to focus on Trading because the financial market is the most direct scenario to test the capabilities of AI Agents. Compared to traditional AI applications that mainly provide information and advice, trading Agents need to continuously make judgments in a real environment and be validated by the market.NeoSoul's Agentic Trading Framework primarily addresses the following issues:Helping users create and customize their own AI trading AgentsOrdinary users who want to participate in AI trading often face technical and strategic barriers. NeoSoul allows users to create trading Agents that align with their goals without starting from scratch, and to accumulate professional trading experience and strategies through skills.Enabling users to determine whether the Agent truly possesses trading capabilitiesCreating an Agent is just the first step. Users also need to understand whether the Agent can consistently execute strategies and manage risks. NeoSoul provides verifiable performance records, allowing users to review the Agent's decision-making process and trading results.Allowing users to manage autonomous trading permissions more effectivelyWhen it comes to asset management, permission control is crucial. NeoSoul supports users in setting Agent permissions and understanding trading behavior in real-time.NeoSoul co-founder Kaelan stated:"AI Agents are moving from providing answers to participating in real economic activities. Trading is one of the most natural scenarios for Agents to enter economic activities, as each decision results in a clear outcome. NeoSoul hopes to help traders create operational AI Agents, enabling more strategies to be executed continuously."In the future, NeoSoul will continue to improve the Agentic Trading ecosystem, allowing more users to use AI Agents to participate in the global financial market.

The global AI computing power and Agent financial infrastructure platform B.AI announced that its cumulative registered user count has officially surpassed 2.05 million, marking a milestone in the platform's efforts to lower the barriers to AI applications and promote the popularization of the Agent ecosystem. According to official disclosures, B.AI has significantly improved the participation efficiency of developers and end users by recently integrating stronger foundational large models, iterating product interaction experiences, enriching agent capabilities, and expanding its ecological cooperation network; in the future, the B.AI platform will continue to deepen its focus on AI computing power infrastructure and Agent financial infrastructure, using a more open ecological strategy to support global intelligent economic innovation.

According to Jinshi reports, T. Rowe Price portfolio manager Vincent Chung stated that the Bank of Japan is expected to maintain interest rates on Friday but may signal a faster pace of rate hikes. He pointed out that if the Bank of Japan accelerates the normalization of its policy, there could be two more rate hikes this year. For the yen to achieve a significant and sustained appreciation, a combination of faster tightening of monetary policy, a decline in energy prices, and more coordinated exchange rate intervention measures is needed.