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AI NEWSLatest AI NewsArticleDeepSeek V4 Official Version Tentatively Scheduled for August 3rd: Silicon Flow Price Hike Exposed, API Can Now Answer New QuestionsPublished in Latest AI NewsTime :Jul 31, 2026Read :4minuteDeepSeek V4’s official version was delayed after its gradual testing started in mid-July, and the official has not yet announced the exact release date. However, multiple new clues point to August 3rd being a key node - the Silicon Valley Flow platform first exposed the secret.The platform announced that it will raise the cache hit price of DeepSeek V4 Pro model from the current 0.1 yuan per million Tokens to 1.0 yuan starting on August 3rd. Such an abrupt price increase can only be reasonably explained by the imminent release of the official version of DeepSeek V4; otherwise, it is hard to explain the motivation behind the Silicon Valley Flow’s actions.APIs become ‘smarter’ ahead of time, frequent service fluctuations confirm the gradual testingAnother key signal comes from the developer community’s test verification. Several netizens found that some DeepSeek V4-related APIs can now correctly answer the release dates of models such as Claude Opus 4.5 and Sonnet 4.5, which were previously unable to be answered without internet access. The tests were conducted through APIs rather than web chats, and not all users could reproduce them, which is a typical feature of gradual testing with phased releases.Recently, DeepSeek services have frequently experienced instability, which also indirectly confirms that the team is continuously conducting small-scale tests and rolling back changes to refine stability. Since mid-July, DeepSeek has been continuously iterating, and the external expectation is that the official version’s performance should at least reach the level between GLM 5.2 and Claude Opus 4.8.Competitors are not idle: OpenAI cuts prices by 80%, GLM increases pricesThe pressure on DeepSeek V4 is not limited to the technical side. OpenAI announced today that the GPT-5.6 series has been reduced by up to 80%, and the cost-effectiveness after the price cut is almost comparable to DeepSeek V4 Pro, combined with multi-modal advantages, the title of the most cost-effective model has already been taken by OpenAI. In contrast, the latest subscription price of GLM has increased by 2 to 3 times in China, making the cost-effectiveness advantage of GPT even more prominent. Under this differentiated situation where competitors are cutting prices to capture the market and raising prices to increase revenue, whether DeepSeek V4 can regain ground with performance may be answered on August 3rd.

AI NEWSLatest AI NewsArticleMoon Shadow Kimi Secures $3.5 Billion in Series F Funding, Valuation Rises to $35 Billion, Series G Financing Has Already Started in AdvancePublished in Latest AI NewsTime :Jul 29, 2026Read :2minuteKimi, a subsidiary of Moonshot, has completed its Series F funding round, with the amount exceeding 3.5 billion USD, and the post-money valuation has risen to 35 billion USD. Due to the subscription volume being more than three times the original target, this funding round was closed ahead of schedule, with the enthusiasm of the funds closing earlier than planned.The pace is even tighter ahead. The Series G (pre-IPO) round, originally scheduled to start in August, has already begun early, with the pre-money valuation raised to 50 billion USD. From the conclusion of the Series F round to the start of the Series G round, there was almost no pause — the capital’s pursuit of the company is accelerating by the month. When one round of financing closes early due to oversubscription and the next round quickly follows, Kimi’s value in the primary market is climbing along a steep curve.

AI NEWSLatest AI NewsArticleWorkBuddy Major Update: ‘Human-Machine Dual Writing’ Launches, the Office of the AI Era Has Arrived!Published in Latest AI NewsTime :Jul 30, 2026Read :9minuteOn July 30, Tencent WorkBuddy released a major version update (V5.3.5): in collaboration with Tencent Docs, it officially launched the “human-AI dual-writing” collaborative editing capability for the Agent era. The new version allows users to directly collaborate with AI within the same file when opening Word, Excel, PPT, Markdown, and other document formats, addressing pain points such as multi-role collaboration in “human-AI hybrid writing” teams.From the traditional “human-file interaction” of conventional Office, to “human-human collaboration” in online documents, to “human-AI task completion” in the AI era, the launch of this feature in WorkBuddy has made AI the first time an “add-on” in office collaboration become a collaborator within the same document. It also achieved, for the first time in the industry, “human-human, human-AI, AI-AI” multi-end synchronized collaboration, driving Office into an AI-native collaboration era.AI Enters Documents: From “Help You Write” to “Write with You"Previously, users needed to switch between chat windows and Office software when using AI for work. To get AI to generate content, they had to copy and paste it into the document; to ask AI to modify existing materials, they had to re-describe the background and revise the entire text; when working in teams, it was difficult to collaborate in real-time around the same document with the same AI partner. Although AI could generate content, it was hard to truly integrate into the user’s ongoing workflow.With this upgrade, WorkBuddy now directly integrates AI capabilities into the document editing environment. After opening a Tencent Docs or local Office file in WorkBuddy, users can select text, table areas, or PPT pages in the original file and use natural language to tell AI what task needs to be completed. For example, selecting a market analysis report to optimize its expression; circling a set of Excel data to have AI analyze it and generate charts; specifying a PPT page to have AI adjust its structure and content; marking blank areas in a report to have AI add relevant sections.AI-generated content appears directly in the original file, where users can continue to edit or add comments. AI will perceive and complete the modifications in real time. After AI completes the edits, users can take over and continue writing at any time. This means that AI is no longer just a “side panel assistant,” but becomes a true collaborator in the creation process.Three Core Upgrades Make AI Transition from “Auxiliary Add-on” to “Third Colleague"The core of this upgrade is to give AI more document operation capabilities and context awareness similar to real collaborators, which are mainly reflected in three aspects:First, it covers more files and scenarios, supporting full human-AI co-writing.Relying on Tencent Docs’ editing capabilities, the latest version of WorkBuddy supports mainstream office formats such as Markdown, Word, Excel, and PPT, and covers both local Office files and online Tencent Docs. Whether it is a thesis, proposal, lesson plan, technical documentation, consulting report, or operational weekly reports, pitch materials, and data analysis, users can complete creation, editing, and collaboration in the same workflow.Second, selecting and modifying is precise and efficient.Users can select paragraphs, data areas, or PPT canvases and let AI make changes only within the specified range, keeping the rest of the layout and content unchanged. For example, in Excel, you can circle thousands of rows of data and let AI perform a pivot analysis, generate trend charts, or batch correct errors and apply complex formulas. Switching to PPT, you can let AI automatically layout the analysis conclusions and charts in a blank area. For structured documents like proposals and lesson plans, you can select the areas to be filled and let AI complete them according to the template.Third, multiple people plus AI, real-time collaboration without interruption.AI-generated content can be uploaded to Tencent Docs with one click, allowing team members to jointly edit the same document across different terminals, as well as collaborate with the same AI partner. All changes are synchronized in real time, and the document context remains intact. From personal writing to team collaboration, to multiple people working on the same task with AI together, human collaboration, human-AI collaboration, and AI-AI collaboration are seamlessly integrated within the same document.From the first generation solving individual local office work, to the second generation solving multi-person collaboration through online documents, as AI agents are deeply integrated into enterprise productivity, office software is moving towards the third stage. By enabling “human-human, human-AI, AI-A

AI NEWSLatest AI NewsArticleConcerns about Microsoft’s Cloud: Growth Deceleration and Leverage Risks Behind Billions in RevenuePublished in Latest AI NewsTime :Jul 31, 2026Read :3minuteIn today’s cloud services market, the arms race among major players is accelerating rapidly. Microsoftachieved its first annual revenue of over $100 billion in the just-completed fiscal year, with a year-over-year growth of 43%. However, this performance does not guarantee peace of mind, as its business growth faces challenges and is even surpassed bywith an astonishing growth rate of 82%.The reason behind this lies in the different paths both giants have chosen in terms of technical approaches and business returns. Google, with its complete ecosystem of self-developed models and chips, has significantly increased its cloud operating profit margin from 20.7% to 35.6%, doubling its profits. In contrast, Microsoft, whose Maia and Cobalt chips are still in early stages, currently relies heavily on commercial chips from NVIDIA. The reselling stack model not only thins its profit structure but also puts more pressure on its computing cost.At the same time, Microsoft’s large order backlog has drawn deep scrutiny from the market. A significant portion of its $67.8 billion in contract backlogs depends on continuous investment from a single client. This highly concentrated client structure and the cycle of capital market lending have raised concerns about potential risks in infrastructure.Against the backdrop of intensifying industry competition, major cloud providers continue to increase their investments. How to find a balance between aggressive computing power arms race and stable financial health will become key to reshaping the future cloud landscape.

AI NEWSLatest AI NewsArticleApple Upgrades Trade Secret Lawsuit, Applies for Injunction to Block OpenAI from Developing Related AI HardwarePublished in Latest AI NewsTime :Aug 5, 2026Read :4minuteApple’s commercial secrets dispute with OpenAI has escalated further. Apple recently filed a preliminary injunction with the court, requesting to restrict OpenAI from continuing to develop AI devices and related products that are suspected of using Apple’s technology, and also requested to expedite the discovery process against OpenAI, its affiliated foundation, AI hardware startup io, as well as relevant parties including OpenAI senior system engineer Chang Liu and Chief Hardware Officer Tang Yew Tan.New court documents reveal that after continued investigation, Apple believes that 11 former Apple employees may be related to the case or hold key evidence in addition to the initially sued individuals. Apple stated that new evidence shows that one former employee discussed proprietary information about unreleased products with the involved personnel before an interview at OpenAI, and another former employee had intercepted confidential documents related to unreleased products.Additionally, Apple stated that after the lawsuit was initiated, several current OpenAI employees and former Apple employees proactively contacted to return Apple devices they had retained upon leaving, further raising Apple’s concerns about the scope of intellectual property leaks. Therefore, Apple requested the court to expedite the discovery process and cooperate with the ongoing preliminary injunction application.In response, OpenAI publicly stated that Apple’s injunction request is “based on false information and unnecessary,” emphasizing that the company has neither obtained nor intended to obtain Apple’s trade secrets, and its development focus has always been on innovative products and technologies. OpenAI also refuted that Apple had previously mistakenly sent emails to irrelevant people due to name confusion and accused Apple of not acknowledging that some former employees could still access internal systems, which stemmed from its own security management flaws.As the legal battle between the two sides over trade secrets and AI hardware development continues to escalate, this lawsuit may have a lasting impact on intellectual property protection and industry competition in the AI hardware sector.

AI NEWSLatest AI NewsArticleInsta360 AI Hardware Teams Up with Alibaba Qianwen: Go Ultra Pocket Camera First to Integrate Voice Assistant KiraPublished in Latest AI NewsTime :Aug 5, 2026Read :3minuteInsta360 is accelerating the integration of AI into its hardware, with the core action being the addition of an AI voice assistant to its product lineup. According to media reports, this capability will first be applied to the Go Ultra series pocket camera, and it’s quite “regionally sensitive”: Google Gemini is used in China’s Hong Kong, Macau, and overseas regions, while the Alibaba Qwen large model is integrated in mainland China. The translated results can be directly announced through the device’s speaker.The collaboration follows a “self-developed + integration with big tech models” approach. According to insiders, the AI voice assistant is primarily self-developed by Insta360, combined with the multimodal model capabilities of Alibaba Qwen. The division of labor is clear: voiceprint recognition and intent judgment are completed on the edge side, while complex tasks such as answering questions, mode switching, and translation are handled in the cloud, all managed by the internal project code-named Kira.The Insta360 GO Ultra pocket camera was released in August last year, with a standard set price of 2598 yuan. On July 31, the official announced that the Go Ultra would receive a major update on August 5. From the poster information, “voice assistant Kira” is likely to be the main highlight of this release.

AI NEWSLatest AI NewsArticleLegal Dispute Becomes a Mix-up? OpenAI Fights Back Against Apple: Your Outsourced Lawyer Sent the Email to the Wrong PersonPublished in Latest AI NewsTime :Aug 5, 2026Read :6minuteThe commercial secret lawsuit between Apple and OpenAI took a dramatic turn on August 4th. After Apple filed an initial injunction and accelerated discovery motion with the U.S. Northern District Court of California, OpenAI directly released a response titled “Apple Got It Wrong,” accompanied by screenshots of internal emails and iMessage chat records, accusing Apple’s injunction request of being based on misleading statements and management oversights.This dispute began on July 10th this year. Apple sued former senior systems electrical engineer Chang Liu and former product design vice president Tang Tan (now Chief Hardware Officer at OpenAI), alleging that they systematically stole core design drawings, supply chain secrets, and manufacturing processes for hardware such as iPhones and Apple Watches during their transition to OpenAI and its hardware subsidiary io Products. Subsequently, Apple applied to the court for an initial injunction, aiming to prevent OpenAI and the involved former employees from accessing or using any confidential Apple information, and to compel the involved personnel to testify under oath, claiming that without the injunction, it would suffer irreparable significant harm.OpenAI’s rebuttal dismantled two of Apple’s core accusations. First, regarding Apple’s claim that “they contacted OpenAI but received no response,” the truth was that Apple’s external lawyers confused the surnames of two Asian employees, sending emails to the wrong recipients; after OpenAI proactively corrected this mistake, Apple’s law firm finally admitted they had sent the emails to the wrong people. Second, regarding Apple’s accusation that Chang Liu continued to log in to the internal network after leaving to download engineering files, OpenAI’s disclosed iMessage conversations showed that after Chang Liu left in January 2026, it was an Apple employee who approached him, asking for help in finding and providing previous project documents.Even more embarrassing was that the access rights remained on Apple’s side. OpenAI stated that Chang Liu could still access some files after leaving because of poor internal system management at Apple—employees left, but iCloud sharing permissions were not promptly cleared, which ironically became an excuse for later accusing former employees of “unauthorized access.“In its response, OpenAI did not hold back: Apple is a great company that focuses on details, but this lawsuit filled with carelessness, aggressiveness, and personal emotions does not match its reputation; the company has neither and does not want any of Apple’s commercial secrets. Following its victory against Musk, this confrontation with Apple has become a new focus in Silicon Valley. Fundamentally, it is a struggle for influence in the next generation of native AI hardware ecosystems— as large model inference efficiency and edge-side Agent capabilities break through, the next generation of AI devices is expected to gradually reshape traditional smartphone and app operating system forms. Apple is rushing to lock down its confidentiality defenses to protect its decades-long consumer electronics supply chain barriers, while OpenAI aims to prove the independence and compliance of its hardware business. As of the time of writing, the Northern District Court of California has yet to make a decision on the injunction application, and Apple has not responded publicly.

AI NEWSLatest AI NewsArticleAnthropic Invests in Unknown Newcomer Volta with a $10 Billion Power Order: Buying the Timeline, Betting That the Counterparty Won’t CollapsePublished in Latest AI NewsTime :Aug 5, 2026Read :4minuteAnthropic has handed a $10 billion computing services contract to Volta, a infrastructure startup just a few months old. In the past, such a large contract would have almost certainly gone to Amazon, Microsoft, or Google - the only ones with the land, power, and deep balance sheets needed for cutting-edge training. But times have changed: when money is no longer a scarce resource, power has become the real bottleneck, and the three cloud giants are not powering up new sites any faster than newcomers. As a result, this deal ended up with Volta Infra.The company raised about $300 million from investors like Nvidia and the Michael Dell family office, valuing it at $2.4 billion, yet it holds almost no hardware. Its computing power comes from Bitcoin miner Bitdeer - which leased 121MW of power from its Norway site for about $4.7 billion over 16 years; the chips are supplied by Nvidia, and the system integration is handled by Dell, with Volta in between responsible for financing, signing contracts, and connecting with clients. To support this heavy bill, Volta also arranged a $5 billion construction funding plan with Azora. CEO Ricard Boada first revealed this arrangement: the $10 billion partnership brings the company about $1.7 billion in annual revenue.What’s truly intriguing is the risk structure. A company valued at $2.4 billion promises to deliver $10 billion worth of services, with the equipment rented from mining farms - the risks on the other side of the scale are clear. For Anthropic, it’s not buying servers, but a precise schedule down to the point; to gain speed, it has taken on transaction risks that even the largest cloud providers have never before accepted. When the “power-up speed” becomes more critical than “who has more money” in the big model competition, computing contracts are beginning to bypass traditional giants and flow towards intermediaries who can turn on the electricity faster. Hardware manufacturers and mining farms have thus been pushed into key nodes of the supply chain.