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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.

According to exclusive information from Intelligent Era AGI, DeepSeek is actively recruiting for emotional intelligence data product manager positions, with a daily salary of 510 yuan. The role is responsible for optimizing DeepSeek's model performance in emotional scenarios, enhancing the realism and immersion of role-playing and emotional interactions, and deeply exploring Badcases in emotional scenarios for attribution analysis.This recruitment information indicates that DeepSeek is expanding from basic capabilities like programming towards emotional interactions that are closer to human language. The product positioning is similar to Doubao, aiming to create a more "personalized" AI model system, rather than being limited to programming scenarios. Previously, DeepSeek launched the Harness preview version for developers on August 13. According to Citigroup's research report and Analysys data, the current market competitor WorkBuddy has surpassed 20 million cross-platform MAU, with 20.97 million monthly visits on the PC side. DeepSeek has not yet provided details on specific product planning for emotional AI.

DeepSeek announced the new pricing for the V4 API, effective August 17. The V4-Pro peak period price for cache misses on input has increased from 3 yuan to 9 yuan per million tokens, and the output has risen from 6 yuan to 27 yuan, representing increases of 3 times and 4.5 times, respectively.During off-peak hours, although the price is only half of the peak rate, it is still more expensive than the current rates. The V4-Pro input is 4.5 yuan, and the output is 13.5 yuan; the V4-Flash input is 1.5 yuan, and the output is 4.5 yuan.Peak hours are from 9:00 to 12:00 and 14:00 to 18:00 Beijing time. The remaining hours are charged at off-peak prices.

Citigroup expects that as technology companies seek to increase their valuations, more Asian companies will issue stocks in the United States. So far this year, Asian companies have issued approximately $28 billion in American Depositary Receipts (ADRs), setting a new high since 2020.SK Hynix's $26.5 billion listing accounted for the majority, while PayPay's initial offering contributed $1 billion.

B.AI platform officially announces that the DeepSeek V4 series Web Chat and API have been fully upgraded to the latest official version, covering two major versions: V4-Flash-0731 and V4-Pro-0813. Among them, V4-Flash-0731 has comprehensively enhanced Agent collaboration, code generation, and multi-tool invocation capabilities through specialized post-training while maintaining the original efficient architecture and model scale, resulting in significant improvements in execution efficiency and task completion; V4-Pro-0813 has shown significant improvements in test scores such as DeepSWE and CyberGym, further consolidating its leading advantage in complex engineering and agent tasks.Both models retain the original model ID and calling interface, allowing developers to switch seamlessly without any configuration changes, maintaining consistent compatibility and stability. Starting today, the new capabilities are fully open for experience, and you are welcome to log in to the B.AI platform to use them immediately.

According to informed sources, AI startup Discovery Loop, founded by former Google chief scientist Jeff Dean, is in talks to raise $1 billion, corresponding to a valuation of approximately $10 billion, with specific financing terms still subject to change.Discovery Loop aims to accelerate discoveries in the fields of science and engineering through automated machine learning, science and engineering, and the parallel execution of thousands of experiments. Its initial funding is led by Radical Ventures and Khosla Ventures, with participation from Lightspeed, Kleiner Perkins, and Doerr Capital, while Alphabet serves as the founding investor and cloud services partner. The founding team of Discovery Loop also includes former core researchers from Google such as Sanjay Ghemawat, Quoc Le, and Oriol Vinyals.

According to blogger Max For AI, DeepSeek Harness (DSH) will officially start public testing on August 13. The final internal test version will be pushed tonight for developers to complete the final plugin compatibility work, and the plugin repository should include the #dsh topic tag. Plugins developed during the internal testing period can be migrated to the developer's personal account and made public. This means that DeepSeek is not only releasing the Harness product this time, but its accompanying plugin ecosystem will also be opened simultaneously. Currently, the official announcement has not been made, and specific details will be based on official information.

According to the Science and Technology Innovation Board Daily, the official version of DeepSeek V4 Pro has been updated to API, with the model name unchanged. The new version significantly enhances Agent capabilities, supporting Responses API and Codex integration. The API documentation shows that the official version of V4 Pro is priced at 3 yuan per million Token input and 6 yuan per million Token output, with cache hit input costing 0.025 yuan per million Token.Benchmark tests for the official version of DeepSeek V4 Pro show that its score in the terminal Agent test Terminal Bench is 87.9 points, approaching Fable 5's score of 88 points. In the AI safety agent evaluation benchmark CyberGym, as well as in the challenging agent evaluation benchmark AutomationBench, its performance even surpasses that of Fable 5.

According to the Wall Street Journal, Apple is seeking to reach new agreements with publishers to use their content to develop the artificial intelligence voice assistant Siri.

According to ChianCatcher news, reported by The Information journalist Yueqi Yang, the annual revenue of the prediction market platform Kalshi has exceeded $4 billion, doubling from two months ago, and is currently seeking to raise a new round of financing at a valuation of $40 billion, a significant increase of 82% from its valuation of $22 billion during the Series F financing in May.In addition, the company has recently invested heavily in marketing, with reports indicating that Kalshi's operating expenses in June reached $300 million, mainly related to marketing promotions.

According to The Information, Hyperliquid is seeking a compliance path to enter the U.S. market for its perpetual contract business, and the platform is currently not open to U.S. users.Previously, the Hyperliquid Policy Center, funded by the Hyper Foundation, has conducted policy research and advocacy work in Washington to promote the establishment of a regulated access framework for on-chain perpetual contracts and decentralized market infrastructure in the U.S.If the relevant regulatory path is clarified, it will create conditions for Hyperliquid to offer products such as perpetual contracts to U.S. users.

FlashRescue co-founder @DarcyAri posted on the X platform that on July 28, 2026, the funding project ODY targeting victims in China issued an additional 10 billion tokens and absconded with approximately 15 million USDT from the trading pool. Currently, it is known that there are over 10,000 victims, and the case has been accepted and is under investigation.Including subsequent transfers and transaction fees, ODY has aggregated at least 15,669,118 USDT. Further tracking revealed that the same main aggregation address previously received 5,383,428 USDT transferred from the KXG wallet, confirming that ODY and KXG share a common fund pool.

DeepSeek's parent company, DeepSeek, completed the first round of signing for a new financing round on August 10 in Hangzhou. This round of financing has a scale of 50 billion yuan, corresponding to a pre-investment valuation of about 500 billion yuan, which is an increase of over 40% compared to the first round of financing completed in June (with a valuation of about 350 billion yuan). The earliest deadline for the first batch of fund delivery is August 30.This round of financing has a minimum investment threshold of 5 billion yuan, and the funds will mainly be used for computing power investment, model research, human resource expansion, and potential preparations for domestic listing. The fund entry paths are divided into two: part will directly enter DeepSeek's parent company, and part will enter a limited partnership controlled by founder Liang Wenfeng. Previously, DeepSeek briefly paused financing contacts at the end of July and resumed in early August. The new version of the model, DeepSeek-V4-Flash, was officially launched on July 31. According to OpenRouter data, the model reached a call volume of 72.2 trillion tokens in its first week, topping the global charts. The company has recently announced plans to raise API pricing and introduce a peak and off-peak pricing mechanism.

DeepSeek has just participated in a strategic placement of YuTree Technology with approximately 141 million yuan. The head of the Harness team, Cui Tianyi, subsequently publicly criticized the description of DeepSeek in the related IPO materials.The materials claim that DeepSeek V4 "ranks among the top tier globally in performance, with programming capability only 0.3% weaker than Claude flagship." Cui Tianyi pointed out that in the V4 paper, only one SWE Verified score is close to Opus 4.6, with scores of 80.6 and 80.8 respectively, which cannot be directly generalized to mean that the overall programming capability is only 0.3% weaker.He sarcastically stated that such writing is hard not to be considered "pure fabrication." However, the criticism was aimed at the exaggerated statements in the intermediary materials.

According to Bloomberg, Google's parent company Alphabet (GOOG) seeks to raise up to $25 billion through a bond issuance.

According to Jinshi reports, Nvidia is urgently seeking AI base station suppliers in China to develop 6G AI-RAN base stations, which are responsible for both communication connections and AI computing. Nvidia hopes to enter the trial network in 2027 or 2028, and Shenzhen Jiaxian Communication is one of its partners. The two parties have been collaborating on the development of 6G AI-RAN base stations based on Nvidia's CUDA ecosystem for more than six months.

Citrini analyst jukan posted on platform X, stating that South Korean media reported that SK hynix subsidiary Solidigm is seeking pre-IPO financing, possibly preparing for a NASDAQ listing.The report stated that the company's target valuation in this round of financing is 50 trillion won. Solidigm is the U.S. subsidiary established by SK hynix in 2021 to take over Intel's NAND flash and SSD business, which SK hynix agreed to acquire for about 10 trillion won in 2020.

According to data from the multi-model aggregation platform OpenRouter, from July 27 to August 2, DeepSeek V4 Flash topped the global AI large model usage ranking with a call volume of 7.22 trillion tokens. Data from the open-source platform OpenCode shows that this model alone processed 8 trillion tokens on August 1. Four out of the top five positions are occupied by Chinese large models: Xiaomi's MiMo-V2.5 (5.1 trillion), Tencent's Hunyuan Hy3 (5.01 trillion), and another DeepSeek V4 Flash model (3.45 trillion) ranked second to fourth, while OpenAI GPT-5.6 Luna (2.99 trillion, a month-on-month increase of 738%) ranked fifth.The total call volume of Chinese large models last week reached 28.13 trillion tokens, surpassing the United States for 14 consecutive weeks, firmly holding the top position globally. The previously highly anticipated Kimi K3 fell out of the top ten this week, ranking 12th. It is noteworthy that free models are capturing an increasing share of traffic, with some models experiencing month-on-month growth exceeding 50%. Analysis indicates that domestic models have shifted from price competition to relying on inference performance and stable service capabilities, but companies like OpenAI and Anthropic continue to iterate, accelerating the internal competition and the pace of product iteration will determine user retention capabilities.