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According to Foresight News, The Wall Street Journal reports that Meta Platforms has proposed acquiring a minority stake in the venture capital firm NFDG. Sources familiar with the matter disclosed this potential investment move by Meta, indicating its interest in expanding its influence in the venture capital sector. Further details about the proposed acquisition have not been made public.

According to PANews, Alibaba Cloud is set to expand its global infrastructure by establishing new data centers in Malaysia and the Philippines. This expansion will increase its reach to 29 regions and 90 availability zones worldwide. The third availability zone in Malaysia became operational on July 1, while the second zone in the Philippines is scheduled to launch in October 2025. This move aims to meet the growing demand for cloud computing and AI services overseas.In addition to expanding its data centers, Alibaba Cloud plans to establish its first AI Global Capability Center. The initiative will involve collaboration with over 1,000 enterprises to develop more than ten industry-specific AI demonstration projects. Furthermore, Alibaba Cloud will partner with over 120 universities globally to train 100,000 AI professionals annually, reinforcing its commitment to advancing AI technology and education.

According to PANews, the AI industry is witnessing a notable shift from centralized large-scale models to local small models and edge computing. This trend is evident in developments such as Apple Intelligence's coverage of 500 million devices, Microsoft's introduction of the Windows 11-specific small model Mu with 330 million parameters, and Google DeepMind's offline robot operations.Cloud-based AI focuses on parameter scale and training data, with financial resources being a key competitive factor. In contrast, local AI emphasizes engineering optimization and scenario adaptation, enhancing privacy, reliability, and practicality. The illusion problem of general models significantly impacts vertical scenario penetration.This shift presents greater opportunities for web3 AI. Previously, the competition in general capabilities (computing, data, algorithms) was dominated by traditional giants like Google, AWS, and OpenAI, making it challenging for decentralized concepts to compete due to lack of resource, technology, and user base advantages.However, in the realm of localized models and edge computing, blockchain technology services face a different landscape. When AI models operate on user devices, questions arise about how to prove output integrity and achieve model collaboration while preserving privacy. These are areas where blockchain technology excels.Several web3 AI projects are addressing these challenges. For instance, Gradient HQ, backed by a $10 million investment from Pantera, has launched the data communication protocol Lattica to tackle data monopoly and black box issues in centralized AI platforms. PublicAI's HeadCap device collects real human data to build an "artificial verification layer," generating $14 million in revenue. These initiatives aim to solve the "trustworthiness" problem of local AI.In summary, decentralized collaboration becomes essential only when AI truly integrates into every device. Web3 AI projects should consider how to support the infrastructure for the local AI wave rather than competing in the generalized track.

According to PANews, the French Ministry of Economy, Finance, and Industrial and Digital Sovereignty announced a new initiative on July 1, aiming to integrate artificial intelligence (AI) into the operations of all businesses by 2030. The plan, titled 'Bravely Embrace AI: A Comprehensive Promotion Plan for AI in All Enterprises,' sets ambitious targets for AI adoption: 100% of large enterprises, 80% of small and medium-sized enterprises, and 50% of micro-enterprises.The French government intends to support this initiative through a combination of promotion, training, and assistance to help businesses incorporate AI into their daily operations. This move comes in response to challenges faced by companies regarding AI usage, including concerns about security, timeliness, cost, and return on investment.To address these issues, the French Directorate General for Enterprises released the 'Enhanced Retrieval Generation Guide' and four educational materials at the end of last year. These resources aim to provide guidance and support for businesses navigating the complexities of AI integration.

According to BlockBeats, the U.S. Senate has voted to remove the ban on artificial intelligence regulation from the tax reform bill initially proposed by U.S. President Donald Trump. This decision marks a significant shift in legislative priorities, allowing for potential future oversight and regulation of AI technologies. The removal of the ban reflects growing concerns about the impact and ethical considerations surrounding AI development and deployment.

According to PANews, OpenAI has entered into agreements with the U.S. Department of Defense, the Indian government, and Grab for customized artificial intelligence solutions. These collaborations involve OpenAI providing tailored AI services and consultancy, with fees starting at a minimum of $10 million.

According to PANews, insiders at Nvidia have sold more than $1 billion in company stock over the past 12 months, as reported by the Financial Times. This surge in stock sales coincides with a peak in artificial intelligence investment, leading to increased trading activity. Over $500 million worth of shares were sold this month alone, as the California-based chip designer's stock reached an all-time high. Investors have been heavily purchasing Nvidia shares, betting on the rising demand for AI chips, which has positioned the company as the world's highest-valued enterprise.Prior to this stock price increase, Nvidia faced a turbulent year marked by trade tensions and breakthroughs in AI by other countries, which threatened product demand. CEO Jensen Huang initiated his first stock sale since September last year, following a pre-set trading plan established in March that predetermined the price and date for sales. Despite these transactions, Huang retains the majority of his Nvidia shares.Ben Silverman, Vice President of Research at VerityData, commented on Huang's strategy, noting that his decision not to sell during the first quarter's stock price decline was prudent, as he waited for a more favorable selling price.

According to PANews, Microsoft has postponed the release of its next-generation Maia artificial intelligence chip from 2025 to 2026. This delay was reported by The Information and marks a shift in the company's timeline for advancing its AI technology. The Maia chip is part of Microsoft's ongoing efforts to enhance its capabilities in the rapidly evolving field of artificial intelligence.

According to PANews, the Trump administration is preparing a series of executive actions aimed at accelerating the expansion of artificial intelligence in the United States. Sources familiar with the matter revealed that the proposed measures include facilitating the connection of power generation projects to the grid and providing federal land for the construction of data centers essential for AI technology expansion. Data from power industry consultancy Grid Strategies indicates that U.S. power demand is expected to grow at five times the rate predicted in 2022 between 2024 and 2029. A report by Deloitte suggests that the power demand for AI data centers could increase by more than 30 times by 2035. The government is considering prioritizing mature power generation projects in the grid connection queue. The executive order will also authorize the use of land under the jurisdiction of the Department of Defense and the Department of the Interior for project construction. Additionally, the administration is contemplating streamlining data center permits by establishing a national Clean Water Act permit, eliminating the need for companies to apply for permits state by state. Furthermore, the White House is considering designating July 23 as "AI Action Day."

According to ShibDaily, Meta, the company behind Facebook, has emerged victorious in a significant legal case concerning copyright infringement. A U.S. federal judge ruled that Meta did not violate copyright laws when it used works from 13 authors to train its AI systems without obtaining prior consent. U.S. District Judge Vince Chhabria granted summary judgment in favor of Meta, stating that the authors who filed the lawsuit failed to provide sufficient evidence that the company's use of their books caused them any harm. In 2023, a group of authors, including comedian Sarah Silverman and writer Ta-Nehisi Coates, accused Meta of copyright infringement for allegedly using their published works to train its large language models without permission. However, Judge Chhabria found that the authors did not demonstrate that Meta’s AI systems would lead to market dilution by generating content that directly competed with their work. Consequently, he determined that Meta’s use of the copyrighted material qualified as “fair use,” a legal principle that allows limited use of protected content without authorization, thereby shielding the company from copyright liability. Despite ruling in Meta’s favor, Judge Chhabria acknowledged that using copyrighted material without permission to train large language models, such as those powering tools like OpenAI’s ChatGPT, could be unlawful in many circumstances. His remarks offered some reassurance to creative professionals who argue that such practices infringe on their intellectual property rights. Victoria Aveyard, author of the bestselling Red Queen series, has been among the most vocal critics of Meta’s AI training practices. In a March TikTok post, Aveyard accused the company of using her work without her consent, without compensation, and against her will, referencing a database published by The Atlantic that allows authors to check whether their books were included in AI training datasets. Meanwhile, Meta welcomed the court’s decision, with a company spokesperson telling Reuters that it supports the principle of fair use, calling it a vital legal framework for building transformative AI technology. Artificial intelligence systems have recently become the focus of numerous legal disputes concerning alleged copyright infringement. Among these, OpenAI and The New York Times are engaged in an ongoing legal battle, with the Times asserting that OpenAI used its articles without authorization. OpenAI maintains that its activities fall within the bounds of fair use and emphasizes the significance of advancing AI technology. In December 2024, OpenAI CEO Sam Altman commented on the ongoing lawsuit, asserting that the news organization is on the wrong side of history.

According to Foresight News, SoftBank CEO Masayoshi Son has announced that the company has signed an agreement with OpenAI to increase its investment in the artificial intelligence firm. The total investment, including planned contributions, amounts to $32 billion. SoftBank aims to become the leading global AI agency by the end of this year, with plans for an eventual public listing.

According to Cointelegraph, artificial intelligence activity on blockchains has experienced a substantial increase since the beginning of 2025, driven by heightened funding and user engagement with this emerging technology. Blockchain analytics platform DappRadar reports that AI-related onchain activity has surged by 86% this year, with approximately 4.5 million daily unique active wallets participating in AI decentralized applications (DApps).The rise in daily users has expanded AI app market share from 9% at the start of the year to 19%, closely trailing blockchain gaming, which holds a 20% share. DappRadar analyst Sara Gherghelas emphasizes that the growth of AI is not merely a result of hype but signifies a fundamental shift in user interaction with decentralized applications. AI agents are increasingly serving as a new onchain interface layer, whether through DeFi copilots, social agents, or autonomous gaming assistants.In May, DappRadar predicted that AI agent usage, which involves programs capable of autonomously executing blockchain actions like trading, would soon surpass gaming, a sector that has traditionally dominated the DApp ecosystem. The report highlights that AI agent funding has risen by over 9% in 2025, with $1.39 billion raised by AI agent projects, marking a 9.4% increase compared to 2024. Although this figure is still lower than the funding received by companies like OpenAI, it is noteworthy that AI agent funding now rivals or exceeds other Web3 verticals such as blockchain gaming.Gherghelas suggests that investors in the Web3 space increasingly view AI agents as a new primitive capable of reshaping user interactions with protocols, navigating DApps, and even automating personal financial strategies. She anticipates that 2025 could be the first year AI agents attract more capital than any other Web3 vertical.DappRadar's data from January to June reveals that most AI DApp users are located in Europe, accounting for 26% of all interactions. The largest share of users, at 33%, comes from unspecified regions and users utilizing VPNs or other anonymized sources. Asia closely follows Europe with just under 22% of users, while North America accounts for 15.8%. Gherghelas notes that the global distribution of AI users indicates that AI agents are not a localized phenomenon, with diverse demand spanning continents. Whether managing trades in Asia, representing users in Europe, or interacting with players in North America, AI agents are increasingly becoming a cross-continental presence.

According to Cointelegraph, CoreWeave, a company that transitioned from cryptocurrency mining to AI infrastructure provision, is reportedly in discussions to acquire Core Scientific. This follows an increased bid after a previous offer was rejected last year. The Wall Street Journal reported that the acquisition could be finalized in the coming weeks, although financial specifics remain undisclosed. The offer must consider Core Scientific's significant growth over the past year.The news of the potential acquisition led to a surge in Core Scientific's stock, which rallied over 23%, prompting a temporary halt in trading. Currently, Core Scientific holds a market capitalization of approximately $3.6 billion. The company's stock, listed under the ticker CORZ, experienced a substantial intraday rally. Last year, CoreWeave proposed a takeover bid of $5.75 per share, valuing Core Scientific at around $1 billion. However, Core Scientific declined the offer, opting to strengthen its partnership with CoreWeave, which included a $1.225 billion agreement to bolster infrastructure support for Nvidia GPUs.CoreWeave's stock, trading under the ticker CRWV, has seen a remarkable increase of nearly 300% this year, elevating its market cap to $78.4 billion. Core Scientific's decision to reject the initial offer proved beneficial, as its stock now trades at nearly three times the original bid. Cointelegraph reported that Core Scientific's first-quarter earnings more than doubled, with net income reaching $580 million, although revenue fell short of analyst expectations at $79.5 million, with $67.2 million derived from self-mining.The company attributed its revenue and mining declines to the Bitcoin network's quadrennial halving in April 2024, which reduced mining rewards from 6.25 BTC to 3.125 BTC. Core Scientific is recognized as the 30th largest corporate Bitcoin holder, possessing 977 BTC according to industry data. As the landscape of cryptocurrency mining evolves, Core Scientific's strategic decisions and partnerships continue to shape its trajectory in the sector.

According to Odaily, publicly traded company Done.AI has commenced an evaluation of blockchain infrastructure as a strategic addition to its AI-native financial platform. As part of this initiative, the company plans to allocate 20 million Norwegian Krone (approximately 2 million USD) for the purchase of Bitcoin, with the transaction expected to occur soon. Additionally, Done.AI will explore the feasibility and integration of stablecoins, equity tokenization, and digital securities infrastructure.

According to PANews, British publicly listed company Amazing AI plc, a global fintech group specializing in online consumer loans, announced on June 24 its adoption of a Bitcoin financial policy. This marks a strategic shift towards incorporating Bitcoin into its balance sheet. The company plans to gradually build a Bitcoin treasury using operational funds and upcoming financing. The initial acquisition of Bitcoin is expected to commence in July 2025.

According to Cointelegraph, Elon Musk has announced that his artificial intelligence company, xAI, will undertake a significant retraining of its AI model, Grok, using a new knowledge base devoid of "garbage" and "uncorrected data." Musk revealed in a post on X that the forthcoming Grok 3.5 model will possess "advanced reasoning" capabilities and aims to "rewrite the entire corpus of human knowledge," by adding missing information and eliminating errors. He emphasized the necessity of this approach, citing the prevalence of "far too much garbage" in existing foundation models trained on uncorrected data.Musk has consistently criticized rival AI models, such as OpenAI's ChatGPT, for being biased and omitting politically incorrect information. His vision for Grok is to create an "anti-woke" model, free from what he perceives as damaging political correctness. This aligns with his previous actions, such as relaxing content moderation on Twitter after acquiring the platform in 2022, which led to an influx of unchecked conspiracy theories, extremist content, and fake news. To combat misinformation, Musk introduced the "Community Notes" feature, enabling X users to provide context or debunk posts prominently displayed under offending content.Musk's announcement has sparked criticism from various quarters. Gary Marcus, an AI startup founder and professor emeritus at New York University, expressed concern over Musk's plan, likening it to a dystopian scenario reminiscent of George Orwell's "1984." Marcus criticized the idea of rewriting history to align with personal beliefs, suggesting it represents a dangerous precedent. Bernardino Sassoli de’ Bianchi, a professor at the University of Milan, echoed these sentiments, warning against the manipulation of historical narratives by powerful individuals. He argued that altering training data to fit ideological perspectives undermines innovation and constitutes narrative control.In his efforts to reshape Grok, Musk has encouraged X users to contribute "divisive facts" for training the bot, specifying that these should be "politically incorrect, but nonetheless factually true." This call has resulted in a flood of conspiracy theories and debunked extremist claims, including Holocaust distortion, vaccine misinformation, racist pseudoscientific assertions about intelligence, and climate change denial. Critics argue that Musk's approach risks amplifying falsehoods and conspiracy theories under the guise of seeking factual accuracy.

According to BlockBeats, Apple executives are reportedly discussing the potential acquisition of Perplexity AI, which could bolster the development of an AI-based search engine. If the acquisition does not proceed, Apple plans to integrate Perplexity as a search engine option within its Safari browser. Previously, Meta, led by Mark Zuckerberg, abandoned negotiations to acquire Perplexity and instead invested approximately $14 billion in Scale AI, acquiring a 49% stake.

According to BlockBeats, Elon Musk recently shared his insights during an interview with the renowned U.S. startup incubator Y Combinator. Musk predicted that digital superintelligence is on the horizon, likely to emerge either this year or next. Despite acknowledging the associated risks, he remains optimistic about artificial intelligence, believing it could expand the economy by thousands or even millions of times its current size. Musk also highlighted the potential dangers of AI, stressing the importance of adhering to truth and maintaining empathy for humanity. Throughout the interview, he underscored the significance of being useful and engaging in work that genuinely benefits the public. He encouraged young engineers present to focus on solving challenging problems, such as advancing rocket technology or developing competitive AI models.

According to Odaily, the British Broadcasting Corporation (BBC) has initiated legal proceedings against the AI search engine startup Perplexity, accusing it of copyright infringement. The BBC claims that Perplexity's default AI model has been trained using BBC content without authorization. The broadcaster has demanded that Perplexity cease using its content and propose a financial compensation plan to address the intellectual property violation. Failure to comply may result in the BBC seeking a court injunction against the startup.