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SpaceXAI launches the Grok 4.6 model in GitHub Copilot.

According to Bloomberg, EdgeConneX Inc., a data center operator supported by EQT, is seeking banks to provide a power cost guarantee of up to $2.5 billion to support its global data center expansion plans.EdgeConneX is negotiating a letter of credit financing arrangement with several banks, including France's Natixis and Spain's BBVA. This arrangement will help the company lock in power supply costs for its data center projects.With the rapid growth in demand for artificial intelligence training and inference, global data center construction has entered an accelerated phase, and operators are exploring new financing tools to cope with rising power procurement costs and infrastructure investment needs. EdgeConneX's request for bank support reflects that AI infrastructure companies are shifting from traditional real estate and equipment financing models to establishing new financing structures around energy supply, long-term power contracts, and other assets.In recent years, major cloud computing companies and AI infrastructure firms have increased their investments in data centers, while power supply has become a significant bottleneck constraining the expansion of AI computing power. Securing future power costs through bank credit support is becoming a new way for data center operators to obtain expansion funding.

The Ethereum staking protocol Lido DAO officially interprets the NEST (Network Economic Support Tokenomics) mechanism, which binds the protocol's revenue to the value of LDO tokens through an on-chain automated method, achieving continuous LDO buybacks. The aim is to allow LDO holders to more directly share in the protocol's growth profits. This mechanism is supported by the surplus funds of the DAO treasury. When Lido's staking business revenue exceeds the set benchmark, a portion of the excess revenue will be automatically exchanged for LDO through CoW Swap.According to the initial parameters set by Lido DAO, the NEST revenue benchmark is an annualized $40 million (approximately $109,000 daily), with 50% of the excess allocated for LDO buybacks, a daily buyback limit of $50,000, and a cumulative limit of $10 million over 365 days. Buybacks are executed daily using a permissionless on-chain process.In the initial phase of NEST, a "Treasury-only mode" will be adopted, where purchased LDO will go directly into the DAO treasury. In the future, when market conditions are favorable, the DAO can switch to LP mode through on-chain voting, using half of the funds to purchase LDO and converting the other half into wstETH to provide Curve liquidity.

According to official news, Gate has launched the AI Potential Stocks feature. This feature will scan market volume and price anomalies, major events, industry news, and related news clues through AI before each trading day, helping users quickly understand the main themes that the market may focus on that day, the relevant reasons, and the subsequent transmission direction. The AI Potential Stocks feature is the first to introduce AI research capabilities and supply chain analysis into the cryptocurrency industry market research scenario, upgrading the AI-driven pre-market investment research experience. This feature will focus on markets such as US stocks, Hong Kong stocks, and Korean stocks, selecting 2-3 stock clues that have capital verification, news support, and may not have been fully noticed yet. The content will revolve around three dimensions: "what to pay attention to, why to pay attention, and how the impact extends," helping users efficiently complete pre-market information screening.AI Potential Stocks focuses on market theme rotation, volume and price anomalies, and major news signals, helping users understand the logic behind changes in market focus rather than simply displaying popular stocks. In addition, Gate will continue to improve its push notification capabilities around AI Potential Stocks, forming a mechanism for timely pre-market summaries, major event reminders, and personalized attention updates. The AI Potential Stocks feature is now supported on Gate App v8.31.0 and above; users can access this feature through the bottom navigation bar [TradFi] - [Stocks] list; web users can enter through the market page or directly visit the feature page to use it. In the future, Gate will continuously deepen the construction of AI research capabilities, improve the AI-driven investment research analysis system, and continuously optimize event version content, major event reminders, and personalized summaries around AI Potential Stocks, gradually forming a mechanism for information delivery that combines pre-market summaries, event reminders, and user attention updates, providing users with more timely and clear market references.

Z.ai released GLM-5.3, which is based on the same foundational model as GLM-5.2, achieving capability improvements through expanded post-training. The official statement claims that GLM-5.3 has improved by 50% on the internal Z.ai Code Bench coding benchmark compared to GLM-5.2, and has reached leading levels among open models in public benchmarks such as Terminal Bench 3 and Agents' Last Exam.In terms of cybersecurity, GLM-5.3 achieved a score of 84.5% in the CyberGym vulnerability discovery test, and showed significant improvements in exploitation chain-related tests such as ExploitBench and ExploitGym compared to its predecessor.

According to Reuters, Apple has trained a large language model for the Chinese market in collaboration with Alibaba. This move is different from Apple's previous strategy of relying on third-party models.Insiders revealed that Apple's AI toolkit, Apple Intelligence, is expected to launch in China in the coming months after an iOS update.

Google has released the new generation AI model Gemini 3.7 Flash, enhancing code generation and debugging capabilities, but the flagship model Gemini 3.5 Pro still has no exact release schedule.Gemini 3.7 Flash can generate code that is closer to production environments, reducing inference costs, and supports the AI assistant Gemini Spark.Nevertheless, concerns about Google's competitiveness in AI remain, as the continuous delays of Gemini 3.5 Pro have attracted attention.

The Trump administration will revise the new artificial intelligence guidelines to expand regulation of AI models. The White House has developed a set of AI frameworks that require U.S. laboratories to undergo safety testing by the federal government before public release. In the coming months, this framework is expected to cover open-source models, which will be included in testing once their capabilities reach the same level as Anthropic's Mythos-level models and OpenAI's GPT-5.6.

According to sources, Google co-founder Sergey Brin has urged employees in recent months to focus on bringing the Gemini model back to the forefront of artificial intelligence.

The B.AI platform is now offering a limited-time 40% discount on the GLM-5.2 model for all users.During the event, whether deploying through the API or interacting on the web, all calls can enjoy a 40% settlement price. The discounted prices are: Input 0.84, Cache Write 0.84, Cache Read 0.168, Output 2.64 (Unit: Credits/Token).As a next-generation open-source flagship model, GLM-5.2 features a 1M ultra-long context window, designed for high-performance scenarios such as large-scale code development, complex reasoning, and agent tasks. Users can directly use it through the official API standard channel or the web interface, achieving seamless integration across all workflow scenarios. This event aims to unleash top-tier AI productivity at a lower cost, and users can log in to the B.AI platform to experience it starting today.

According to the official announcement, Bitget CFD has launched the Pro mode based on the existing ECN and STP models, providing independent quote depth for high-frequency and large-volume traders. This feature is now available on the web, and the app version is expected to be opened on August 21.The trading varieties in Pro mode uniformly use the .pro suffix, and the fee structure and rebate rules are consistent with the ECN model, with a fixed handling fee charged per lot based on the variety, and overnight fees charged normally. This mode is only open to qualified professional clients, who can contact their account manager or official customer service to apply for activation.Previously, Bitget CFD launched liquidity solutions for institutional traders, supporting multi-level depth aggregation and 100% STP execution. The launch of the Pro mode further enriches Bitget CFD's support for professional trading scenarios.

According to the "Science and Technology Innovation Board Daily," as the original factory prices further rise in the third quarter, the price of server DDR5 has increased by 15% to 23% this month, with 32GB / 64GB / 96GB DDR5 RDIMM rising to 900/1590/2650 USD respectively. In the spot market for server RDIMM, the trade price for 32GB D5 is between 1800~2100 USD, 64GB D5 is between 3000~3200 USD, and 96GB D5 is between 3800~4100 USD. The price difference between contract and spot DDR5, especially for 96GB, shows a trend of narrowing. The supply of original factory DDR5 remains insufficient to meet demand; however, as contract prices rise seasonally, large server clients are becoming more sensitive to the increase in memory costs. Additionally, with long-term agreements being established, the supply of D5 for large clients is somewhat guaranteed, and the increase in DDR5 prices is expected to be more moderate.

According to The Information, Nvidia is developing a new open-source AI model called Nemotron 4.Several Nvidia employees involved in the development of the NEMOTRON project stated that they expect the largest NEMOTRON 4 model to have at least 1 trillion parameters.

According to the disclosure from the Common platform, Sushi DAO has released an RFC proposal to comprehensively restructure the SUSHI token economic model. The proposal suggests replacing the current xSUSHI fee distribution mechanism with a more balanced framework, specifically including: reducing the xSUSHI buyback scale to a sustainable level, establishing a protocol reserve (SUSHI Reserve) through weekly regular purchases of SUSHI, and allocating the remaining protocol revenue to Sushi Ops for operations and growth.In addition, the proposal also plans to migrate part of the protocol liquidity deployment to the Robinhood Chain. Currently, the proposal is in the RFC (Request for Comments) stage, pending community discussion and governance voting.

OpenAI announced the expansion of its cybersecurity defense program Daybreak and launched the GPT-5.6-Cyber model specifically for the cybersecurity field, aimed at helping authorized security researchers and defense teams enhance their vulnerability discovery, threat analysis, and security testing capabilities. As attackers increasingly leverage AI to launch faster and larger-scale cyberattacks, defenders need to gain advanced AI capabilities in advance.This Daybreak offers two types of access: Daybreak Blue is aimed at most defense teams, providing general models such as GPT-5.6 Sol for vulnerability discovery, secure code review, malware analysis, incident response, and patch validation; Daybreak Red is aimed at advanced security research, providing GPT-5.6-Cyber for authorized vulnerability research, vulnerability validation, and security testing. GPT-5.6-Cyber is trained on GPT-5.6 Sol and optimized for cybersecurity tasks, including discovering zero-day vulnerabilities and analyzing exploit chains. It has been used in actual vulnerability research and has identified high-risk vulnerabilities in software, including the Chrome V8 JavaScript engine. Additionally, OpenAI stated that GPT-5.6-Cyber has also helped discover high-risk vulnerabilities in various domains, including privilege escalation vulnerabilities in mobile operating systems, remote code execution vulnerabilities in databases, and hundreds of privilege escalation vulnerabilities in operating system kernels.OpenAI also emphasized that Daybreak Red will only be accessible to approved individuals and organizations, controlling access through measures such as authentication, account security, monitoring, usage restrictions, and legal disclaimers. The company stated that it will continue to strengthen security monitoring, access management, and model security testing to reduce the risk of advanced cybersecurity models being abused.

Bitcoin News posted on the X platform that the Bitcoin Policy Institute, along with a coalition of over 40 organizations, is calling on leading AI labs to provide trusted access to their state-of-the-art AI models for qualified open-source defenders.The open letter states that Bitcoin and digital asset developers are facing increasingly complex AI-driven cyber threats, while legitimate security research is often hampered by cutting-edge model security mechanisms. Signatories including Block, Coinbase, Strategy, MARA, Galaxy, BitGo, Brink, OpenSats, Chaincode Labs, Spiral, Trezor, and Unchained are requesting early access to cutting-edge cybersecurity models, sufficient computing power, secure research environments, and the establishment of direct communication channels with AI lab security teams. The open letter states: "Defenders need cutting-edge technology; please give them a fair head start."

According to the "Science and Technology Innovation Board Daily," based on its pioneering fully modular design architecture, Alibaba Cloud has shortened the delivery time of large AIDC data centers to 100 days, while the traditional delivery cycle in China is 6 to 12 months, and in the United States, it is 12 to 18 months. While shortening the construction period, the overall construction cost has been reduced by more than 10%. Alibaba Cloud plans to double the global capacity of modular data centers this year.This modular design refers to parallel production in various stages, with factory manufacturing pre-adjusted to containers, which are then transported to the site for hoisting and assembly, achieving a "building blocks" style of construction. Alibaba Cloud stated that this model will effectively support the rapid expansion demand for AI computing infrastructure.

Meta Platforms announced that it will build a fully private mode for personal intelligent agents, which even META itself cannot access user information.

Meta Platforms (META.O) launched Muse Glimmer, an open-source agent model that can run on Mac or PC.

According to information from the official Apple website, Apple Smart has supported collaboration with Alibaba's Qianwen model.According to the official introduction, after users enable the relevant features, Siri can use the Qianwen model to provide more in-depth answers, including analyzing photos and documents; the writing tool can also leverage Qianwen to generate text or image content based on user descriptions.