Meta is an American multinational technology conglomerate. It owns Facebook, Instagram, and WhatsApp, among other products and services.
Zhou Mi, a researcher at the Academy of International Trade and Economic Cooperation of the Ministry of Commerce, stated that Manus’s practice of relocating projects to Singapore via capital and corporate transfers before selling them to U.S. enterprises raises suspicions of deliberate regulatory evasion. If such practices remain unregulated, more companies may follow suit, undermining national development interests and security. Zhou emphasized that China has consistently maintained an open stance toward foreign investment but adopts a cautious position on sensitive investments involving critical technologies and data security: “Attempting to evade regulation through malicious means will ultimately fail to achieve its intended purpose.”
Fortune magazine disclosed the total investment in the White House Trump Banquet Hall has risen from the initially estimated $200 million to $400 million. The funds primarily come from tax-deductible private donations, which will be managed through the non-profit organization Trust for the National Mall. Fortune previously revealed that multiple crypto industry companies and individuals have participated in the donations, including Coinbase, Ripple, Tether America (a subsidiary of Tether), as well as prominent figures in the crypto space such as Paxos co-founder Charles Cascarilla, Cameron Winklevoss, and Tyler Winklevoss. Additionally, major tech companies like Meta, Apple, Amazon, Google, and Microsoft are also on the donor list. Among them, Google's parent company Alphabet had previously reached a settlement with Trump and pledged $22 million of that amount towards the banquet hall's construction.
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According to The Wall Street Journal, Meta is preparing to unwind its acquisition of AI startup Manus. If Meta proceeds with unwinding the deal, several of Manus’s former Asian investors—including Tencent, Sequoia China, and ZhenFund—plan to cooperate. Additionally, both companies are required to terminate the transaction and fully restore Manus’s assets in China to their pre-acquisition status, including retrieving any data or technology previously transferred to Meta. Manus is a China-related startup headquartered in Singapore, focused on developing AI agents. Meta completed the $2.5 billion acquisition last December and has rapidly integrated the related technologies into its own systems. Should the deal ultimately be unwound, both parties will need to separate the already-integrated technologies and systems. Earlier reports indicated that China banned the transaction on April 27 on national security grounds.
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QCP Group’s analysis states that U.S.-Iran negotiations have once again collapsed, while the Middle East ceasefire continues, leaving the overall geopolitical landscape relatively static. A shooting incident occurred at the White House Correspondents’ Dinner, with Trump suspected as the target. Following Asia’s market open, BTC briefly surged past $79,000 and ETH above $2,400—but gains quickly reversed amid concerns triggered by news of Iran’s Foreign Minister traveling to Russia for talks with Putin. Since early April, BTC has rallied over 14% cumulatively, marking four consecutive weeks of positive closes. Spot ETFs recorded nine straight days of net inflows totaling approximately $2.11 billion. Strategy funds added over $3.8 billion worth of BTC in the past month. The current key resistance level for BTC lies near the CME gap around $82,000. BTC perpetual contract funding rates remain persistently negative; a breakout above this level could trigger short-covering. Implied volatility continues declining, and risk-reversal skew has narrowed somewhat, signaling gradually rising market interest in upside exposure. Key events this week: - April 29: Earnings reports from Microsoft, Amazon, Meta, and Google, plus the FOMC interest-rate decision. - April 30: Apple earnings report, U.S. Q1 GDP data, and March PCE inflation data.
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According to Cointelegraph, Meta Platforms plans to cut approximately 10% of its workforce—around 8,000 positions—on May 20, aiming to improve operational efficiency while increasing investment in AI.
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Meta Pool announced that it has identified a suspicious contract attempting to impersonate a legitimate staking pool and token. Meta Pool emphasized that this contract is not affiliated with Meta Pool or any official NEAR liquid staking provider. No significant fund losses have been detected so far; however, the team has observed suspicious activities—including test interactions via Intents—by related parties. Users are advised to interact only with officially verified contracts and must verify contract addresses before staking or swapping; they should not rely solely on token names or symbols to assess authenticity. The team will continue monitoring the situation.
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Sooth Labs, an AI prediction laboratory founded by former Meta executives and a CMU professor team, is completing a $50 million funding round at a $335 million valuation, led by Felicis Ventures. Yann LeCun and Jeff Dean are participating as individual investors, and Meta CTO Andrew Bosworth serves as an advisor. The company specializes in multimodal AI event probability prediction, serving institutions in finance, defense, insurance, and other sectors, and has already provided probability predictions for events such as the WHO pandemic and Anthropic's IPO.
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According to Bloomberg, Sooth Labs, an AI lab founded by former Meta employees, is raising approximately $50 million in funding, led by Felicis Ventures, with a post-money valuation of about $335 million. The company plans to develop AI models that predict the probability of specific geopolitical and market events, offering these capabilities to enterprises. Sooth Labs has also received support from Yann LeCun and Google’s Chief Scientist Jeff Dean, and Meta’s CTO Andrew Bosworth serves as an advisor.
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Odaily News Meta has found a new source of training data for its AI models: its own employees. The company plans to use data collected from its employees' mouse movements and keystrokes to build more powerful and efficient artificial intelligence. A company spokesperson stated: "If we want to build agents that help people accomplish daily tasks on computers, our models need real-world examples to understand how people actually use computers—such as mouse movements, button clicks, and operating dropdown menus. To this end, we will launch an internal tool to capture these operational inputs on specific applications to help train our models. We have implemented corresponding safeguards to protect sensitive content, and this data will not be used for any other purposes." (TechCrunch)
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According to The Block, Texas man Robert Dunlap was sentenced to 23 years in federal prison for a cryptocurrency fraud scheme exceeding $20 million and ordered to pay restitution to nearly 1,000 victims. Prosecutors alleged that Dunlap operated cryptocurrency projects and sold Meta-1 Coin, falsely claiming the token was backed by $44 billion in gold and approximately $1 billion in artworks—including pieces by Pablo Picasso, Vincent van Gogh, and Salvador Dalí—and that the assets had been audited. Last year, a jury found him guilty of mail fraud.
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According to the South China Morning Post, Interconnects AI, a U.S.-based AI tracking firm, released a report stating that as of March 2026, Alibaba Cloud’s Qwen series models accounted for over 50% of global open-source model downloads, with a cumulative total of 942.1 million downloads—far surpassing competitors such as Meta’s Llama and DeepSeek. In February alone, Qwen downloads reached 153.6 million—exceeding the combined total downloads of the next eight major vendors. The report notes that Qwen’s dominant position stems from the exceptional popularity of its smaller-parameter variants (under 10 billion parameters), which enable developers to customize and deploy models freely at low cost. Since the launch of Qwen 2.5 in September 2024, Chinese models have begun outpacing mainstream U.S. open-source models like Llama; the release of Qwen 3.5 in February this year further solidified its lead. Meanwhile, open-source strategy has become a critical battleground in the U.S.-China AI competition. Meta has abandoned its open-source approach this year, instead launching the closed-source flagship model Muse Spark. Similarly, Chinese vendors including Alibaba Cloud and Zhipu AI have shifted some of their latest models to closed-source to expand direct commercialization channels.
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