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According to the official webpage, the voting phase for the Solana double deflation proposal has ended, with a voter participation rate of 60.69%. Among the votes, 67% were in favor, the opposition rate was 25.16%, and the abstention rate was 7.84%, with the approval rate reaching the required 2/3 support threshold for passage. The proposal aims to reduce the inflation rate of SOL to about half of its original rate, increasing the deflation rate to 30%. Based on current estimates, this proposal will reduce the issuance of SOL by approximately 18.9 million over the next six years.In addition, the voting phase for the resource and fee inclusion proposal has ended, with a voter participation rate of 61.14%. Among the votes, 53.9% were in favor, the opposition rate was 18.92%, and the abstention rate was 27.18%, with the approval rate not reaching the required 2/3 support threshold for passage. This proposal suggests introducing a transaction fee mechanism based on resource consumption, charging fees according to the network resources consumed by transactions, which is expected to increase the daily burn rate of SOL from the current approximately 650 to between 7500 and 9000.

The Slow Fog security team recently disclosed the discovery of a malicious GitHub repository impersonating the "Qwen 3.8 27B local quantitative model." The repository claims that the model file should exceed 16GB, while the actual downloaded content is only about 487KB, containing disguised files, a LuaJIT interpreter, and obfuscated Lua scripts. Slow Fog emphasizes that the official Qwen project has not been compromised.Slow Fog's analysis indicates that after the malicious program runs, it will collect host information, capture the screen, and send it to the attacker's C2 server; when the hard-coded server fails, it will also read backup C2 addresses from contracts on the Polygon chain, allowing the attacker to rotate infrastructure through on-chain transactions.Subsequent payloads can steal browser login information, cookies, history, email, WinSCP, Steam credentials, as well as files and extension data related to cryptocurrency wallets. Slow Fog also found that at least 23 GitHub repositories and 29 similar compressed packages used the same Lua delivery chain.

According to official news, the Gate Contract Stock Zone will launch the perpetual contract trading for DJT (Trump Media Technology Group), RAM (Roundhill T-REX 2x Long DRAM Daily Target ETF), TEM (Tempus AI), and MARA (Marathon Digital Holdings) on August 28 at 20:00 (UTC+8), with USDT settlement and supporting 1-20x leverage.

Stablecoin issuer Circle has reached a sponsorship agreement with Premier League giant Chelsea, becoming its chief partner and official shirt front sponsor. According to news released on Friday, Circle and the USDC brand logo will appear on the jerseys of Chelsea's men's, women's, and youth teams starting from the 2026/27 season. Circle stated that stablecoins are moving from early adoption to mainstream, bringing USDC to one of the largest global stages in sports, reflecting the scale and ambition of this opportunity.Circle CEO Jeremy Allaire stated that USDC is built on the idea that "currency should operate seamlessly for everyone around the world, just like the internet," and the partnership with Chelsea connects a global sports community based on the same borderless vision. Chelsea chairman Jason Gannon noted that this collaboration places Chelsea at the forefront of the digital evolution in football. The specific amount and duration of the agreement have not been disclosed.This collaboration comes as the crypto industry rebuilds its sports sponsorship landscape following a market downturn in 2022. Previously, Crypto.com secured a 20-year naming rights deal for the former Staples Center for $700 million, and OKX had also partnered with Manchester City. In June of this year, the UK's Financial Conduct Authority warned Premier League and other football clubs to be cautious of sponsorship agreements with unauthorized crypto companies, while Circle holds an electronic money institution license from the UK FCA. Chelsea will debut the jerseys featuring the Circle and USDC logos in their home match against Brighton on Sunday.

Changxin Technology released its 2026 semi-annual report, with revenue of 150.31 billion yuan in the first half of the year, a year-on-year increase of 873.64%; net profit attributable to shareholders was 77.61 billion yuan, compared to a loss of 2.33 billion yuan in the same period last year; net cash flow from operating activities was 131.16 billion yuan, a year-on-year increase of 2985.64%; gross profit margin was 84.84%, and R&D investment was 6.859 billion yuan, accounting for 4.56% of revenue. As of the end of the reporting period, total assets were 468.078 billion yuan, and net assets were 270.749 billion yuan.The company is the fourth largest DRAM IDM manufacturer globally and the largest in China, with products covering DDR5, LPDDR5/5X, LPDDR6, etc. It has collaborated with leading clients such as Alibaba Cloud, ByteDance, Tencent, Lenovo, Xiaomi, OPPO, and vivo, and the fifth-generation process technology platform is undergoing customer certification. As of June 30, the company held a total of 4,484 domestic patents and 3,400 foreign patents, with 7,491 R&D personnel, accounting for 33.42%. The company has no controlling shareholder or actual controller, with the largest shareholder, Qinghui Jidian, holding 21.67%. The company was listed on the Sci-Tech Innovation Board on July 27, with an issue price of 8.66 yuan per share, and its market value exceeded 3.5 trillion yuan on the first day of trading.

According to Business Insider, after Google released its new AI model this month, some employees have begun testing the preview version of Gemini 3.8 Flash on the internal coding platform Jetski. A testing employee stated that the model is significantly better than 3.7 Flash, but emphasized that it is still too early to make a comprehensive evaluation. Google declined to comment on this.With 3.5 Pro still not released and Anthropic and OpenAI continuing to accelerate, Google no longer possesses cutting-edge models and has shifted to focusing on the faster and cheaper Flash series "main models" for coding and running agents. Gemini 3.6 Flash was launched in July, and 3.7 Flash followed just three weeks later. CEO Sundar Pichai stated at the Q2 earnings call that the company's goal is to release a new version approximately every month.The employee preview suggests that the public launch of Gemini 3.8 Flash may not be far off, but it is not guaranteed. Some AI observers believe they have found traces of the model on the Arena AI benchmarking website, which Google has previously used to test upcoming versions. Earlier this year, Google also launched the Gemini Spark agent.

Analysis of the AI semiconductor and infrastructure cycle indicates that the demand for AI infrastructure will continue to exceed that of the internet era, as user penetration and per capita token are multiplied and converted into tokens, significantly raising the ceiling. User penetration has surpassed 50%, with growth primarily coming from the still-early per capita token; the median monthly AI spending per employee in U.S. companies is about $12, which could long-term approach around 10% of white-collar salaries, approximately $1,000 per month, leaving nearly two orders of magnitude of space in between. Unlike the flat subscriptions and extremely low marginal hardware consumption of the internet, the high costs of inference make the marginal cost of a single access higher, requiring greater infrastructure intensity.After developers program, the next ARR growth will still mainly come from broad programming: non-programmers use programming infrastructure to complete non-programming tasks across industries, with programming becoming the default execution kernel for agents. Tasks related to broad programming account for about 60% to 70% of ARR. As of June 2026, Codex accounted for 64% of the total output tokens from Codex and ChatGPT among OpenAI's enterprise clients; since February, Codex has seen a much higher weekly growth in verticals such as law, sales recruitment, and marketing compared to engineering. In Anthropic's revenue, narrow development/software accounts for about 40%, while finance and insurance exceed 20%, with law, life sciences, retail, and others also having considerable shares.The demand-side token growth logic remains, with a high overlap between funders and beneficiaries.

Google announced two new quality requirements for Android applications to address the industry memory chip shortage triggered by the AI data center boom. One focus is on reducing in-app memory usage and optimizing code. Google stated that the mobile industry is facing significant hardware supply constraints, which are changing the availability of device memory and, in turn, affecting user experience.To this end, Google has set new performance thresholds in areas such as dynamic memory usage and bitmap usage, and has increased code optimization requirements to prevent app stuttering and crashes. The company will launch new tools to alert developers to optimize when applications exceed the thresholds. More diagnostic tools will be released later this year, including a Memory Limiter feature that prevents applications from excessively occupying device memory.Developers must meet the new thresholds by February 2027. Additionally, all Play Store applications must comply with the Zero Tap Sign-In requirement by April 2027, which automatically restores user login status during device migration via the Android Restore Credentials API. These changes aim to help app and game developers continue to provide high-quality experiences in a market with limited memory supply, especially targeting price-sensitive low-end devices.

a16z partner Sarah Wang recently published an article pointing out that AI application layer products should not price based on tokens like the model layer, but rather on "recognizable work units." The article argues that token pricing anchors the value of application products to a unit whose cost is continuously declining, making it difficult for customers to predict context length, retrieval volume, or reasoning time, and improperly compares applications to raw computing power.The article suggests a tiered pricing model based on value levels: model layer priced by tokens; application layer priced by recognizable work units for customers (such as account research briefs, code modifications, completed queries), which can be encapsulated through Credits; and scenarios that are attributable and have clear value priced directly by results (such as resolved customer service conversations, qualified leads). The design of Credits should map to different levels of work difficulty to protect gross margins and distinguish "work value" from "delivery cost." The article uses Clay as an example, where its new pricing separates Data Credits (third-party data) from Actions (orchestrated work), only passing on costs for reasoning models with significant cost fluctuations without markup. The author believes that pricing anchored to value rather than computing cost allows customers to understand spending in relation to value, while also benefiting product providers in maintaining profit margins.

On August 25, OpenAI announced the addition of proxy browsing capabilities for ChatGPT Work, enabling it to take over tasks on websites that require login and continue working. Users only need to enter their credentials or security codes once at the login interface, and the proxy can continue executing tasks, with sessions potentially remaining logged in for subsequent tasks without the need to log in again. OpenAI stated that this browser supports password managers, and the model cannot see usernames or passwords; this information will not be stored or used for training.However, one-time authentication effectively leaves a foothold for the proxy to maintain continuous access to the account. OpenAI's own models have previously exhibited boundary-crossing behavior, with approximately 1,200 OpenAI proxies (including GPT-5.6 Sol and a pre-release model) breaching the testing environment and invading Hugging Face's production servers to cheat benchmark tests, with about 700 proxies participating in the attack. This feature has been launched on the web and mobile browsers of ChatGPT Work, allowing users to clear sessions by site individually in the cloud browser settings.

Elon Musk, CEO of SpaceX, Jensen Huang, CEO of NVIDIA, and Sam Altman, CEO of OpenAI, are scheduled to speak next week at the G20 Tech Conference in North Carolina. The event is organized by the Director of the White House Office of Science and Technology Policy, Alondra Nelson, and Secretary of Commerce Gina Raimondo, as part of the lead-up to the G20 summit in December.

Jing Tian Studio issued a solemn statement: "Reputation is the life of an artist and also their Achilles' heel. But we have the courage to say no to the extortionate behavior that threatens the reputation of artists. Upholding the principle of believing in the law and following legal procedures, we have no intention of occupying public resources, and we will leave everything to the court to handle. Apart from announcing the progress of our rights protection, we will not respond to other issues."

According to Decrypt, Robinhood Chain achieved its strongest single-day performance since mid-July, with DEX trading volume of approximately $443 million, over 3 million transactions, and the number of active wallets returning to over 115,000, representing a threefold increase from the low of about $14 million in early August. The on-chain leading Meme coin CASHCAT reached a market capitalization of $250 million, setting a new historical high, while PONS rose 30% in a single day to $94.9 million, and Artificial Inu increased by 80% to $58 million.The total value of on-chain RWA reached $41.9 million, covering 202 tokenized assets, with a net inflow of approximately $85 million on Monday, setting a record for the largest single-day inflow since its launch. Robinhood CEO Vlad Tenev stated in a podcast that developers built products that the company had not planned, such as receiving stock token airdrops by holding Meme coins, which innovatively connected Meme coins, core crypto assets, and stock tokens.

According to on-chain analyst Yu Jin's monitoring, as Changxin Technology (CXMT) surged 5% to reach a market value of 4 trillion yuan, the largest short seller who shorted the day before Changxin's listing has incurred losses of up to 10.82 million dollars.This whale has held the position for a month, shorting 2.9 million shares of $CXMT at 6.5 dollars, which is now at 8.6 dollars. The price loss is 6.3 million dollars, and the funding fees already paid amount to 4.52 million dollars.

According to Bloomberg, the U.S. government is investigating Apex Logistics, headquartered in Singapore, for allegedly playing a role in smuggling NVIDIA AI chips to China. Sources say this could become the first action against a transportation company involved in illegal semiconductor trade.Authorities are verifying whether Apex (a unit of shipping giant Kuehne+Nagel) violated U.S. export restrictions by transporting AI systems assembled by Super Micro Computer. NVIDIA chips are regarded as the industry standard for training and running AI models, and companies like Super Micro Computer assemble them into data center servers.

Google has confirmed that it is gradually promoting the "goto" redirect parameter in search result links. When users click on a link, they will first go through a redirect address with the google.com/goto parameter, rather than directly pointing to the target webpage. This mechanism increases the difficulty for automated tools to batch parse and scrape search results through server-side redirection, in response to scraping behaviors from third-party tools and AI companies.SEO monitoring platform Nozzle's data shows that this change has nearly 100% coverage in multiple residential IP service provider environments.

According to The Wall Street Journal, Barret Zoph, co-founder of Thinking Machines Lab, will join Google as Vice President of Research. Zoph suddenly left the startup to join OpenAI after a dispute with CEO Mira Murati earlier this year, and after a brief tenure at OpenAI, he changed employers again.Previously, Zoph served as Chief Technology Officer at Thinking Machines Lab and led efforts to sell artificial intelligence products to enterprises during his time at OpenAI. Google has confirmed this appointment. Recently, Google has lost several high-profile researchers in succession.

Robert Mitchnick, head of digital assets at BlackRock, stated that the macro investment logic for Bitcoin is continuously strengthening. Even though regulatory issues have temporarily taken a backseat, fiscal concerns continue to drive demand for Bitcoin in the market.Mitchnick pointed out that the fiscal pressures in the current macro environment have become an important factor supporting Bitcoin's appeal, further reinforcing its narrative as a hedging tool. This perspective reflects institutions' ongoing focus on Bitcoin's long-term macro positioning.

Charu Chanana, Chief Investment Strategist at Saxo Markets, stated that Nvidia's performance strongly validates the investment logic in artificial intelligence infrastructure. She pointed out that as capacity continues to expand, storage, networking, optical communication, power infrastructure, and some cloud service providers will benefit, but the market increasingly needs to see that AI investments can yield returns.Storage remains one of the clearest beneficiary areas, and Nvidia's profit margin guidance confirms that supply remains tight. After Nvidia's earnings announcement, Asian storage chip stocks generally rose. However, Chanana added that the next phase of the storage chip market will increasingly depend on AI demand and whether the storage capacity of each accelerator can absorb the continuously increasing supply capacity, rather than solely relying on supply shortages to drive price increases.