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Meta is an American multinational technology conglomerate. It owns Facebook, Instagram, and WhatsApp, among other products and services.
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Jensen Huang's First X Post: Over 20 Institutions Including NVIDIA Sign Joint Letter Supporting Open-Weight AI Models
NVIDIA CEO Jensen Huang has published his first post on X, sharing an open letter titled "Open Weight and American AI Leadership," jointly signed by more than 20 technology companies and institutions, including NVIDIA.The open letter argues that open-weight models can expand economic access to AI, enhance market competition, and grant users more control. Signatories include Meta, Microsoft, Andreessen Horowitz, Hugging Face, IBM, Mistral AI, Palantir, Perplexity, Mozilla, Y Combinator, among others.The letter states that while open-weight models carry risks, they should not be restricted through bans. Instead, openness should be leveraged to advance AI safety and cybersecurity capabilities. Huang noted: "The world needs cutting-edge closed-source models, and it also needs cutting-edge open models."
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CryptoRank: Bitget US Stock Token Large Order Slippage 58% Lower Than Other Platforms
CryptoRank 发布代币化股票流动性、市场结构与执行质量研究报告。数据显示，当前代币化股票市场链上总值已接近 20 亿美元，链上持有者超过 47.1 万人。报告选取英伟达、微软、Meta 和特斯拉四只在各测试平台均具备有效双向订单簿的资产进行横向对比。
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Morgan Stanley: Semiconductor Pullback Not Yet Ended, Capital Flowing to Consumer and Transportation
According to TechFlow Research, Morgan Stanley released a weekly US stock strategy report on July 20. The report pointed out that the trend of market breadth expansion continues, and the momentum trading risks in the semiconductor sector have not yet been fully released. The silver stock price analogy model shows that semiconductors may have about 15% downside potential in the short term, and earnings revision breadth has retreated from historical extremes. Over the past two months, the consumer durables and transportation sectors outperformed the S&P 500 by approximately 12 percentage points respectively, and the equal-weight index continues to outperform the market-cap weighted index. In terms of allocation, Morgan Stanley continues to recommend overweighting cloud providers (Microsoft, Google, Meta, Amazon) and underweighting semiconductors within the technology sector. The equal-weighted P/E ratio of the four major giants has fallen back to 21 times. Consumer durables and transportation are the clearest directions for capital inflows, with the earnings revision breadth of the transportation sector reaching the strongest level since 2021. Market style is gradually shifting towards quality factors, with earnings revision breadth for high gross margin and high sales stability factors continuing to strengthen. The S&P 500 year-end target is 8,000 points, with 7,000 points being a key technical support level.
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JPMorgan Chase: $870 Billion AI Capex Accelerates, Funds Shift from Hardware to Cloud Giants
According to TechFlow Research, JPMorgan's US stock strategy report on July 20 estimates that global AI-related capital expenditure will approach $870 billion in 2026, up 77% year-on-year, with hyperscalers contributing about $750 billion. In 2027, growth rates remain high: Google +54% (approx. $300 billion), Amazon +42% (approx. $300 billion), Meta +42% (approx. $200 billion). Bond financing by the five major tech giants rose from $40 to 50 billion in 2022 to about $190 billion in 2026, and Google completed $85 billion in equity financing in June.
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Arcus Launches Over 95 Stock Tokens and Perpetual Markets on Robinhood Chain
: Arcus, a decentralized exchange supported by Robinhood, launched tokenized stocks and perpetual futures on the Robinhood Chain on Tuesday. Arcus is built by the team behind the decentralized exchange dYdX and is supported by Robinhood Crypto. Arcus previously launched its spot market on July 1st when the Robinhood Chain went live. The platform offers over 95 stock tokens, perpetual markets, and crypto assets via self-custodial trading accounts, using USDG, a stablecoin issued by Paxos, as the primary collateral and settlement asset. The tokens launched on Arcus include stock tokens for major US companies such as Nvidia, Tesla, Apple, Microsoft, Meta, Google, and Amazon, as well as perpetual markets linked to stocks, ETFs, commodities, indices, and crypto assets. Arcus stated that its stock tokens are not available in the United States, Canada, the United Kingdom, and other restricted jurisdictions. The platform utilizes a self-custody model, allowing users to retain control of their assets and connect self-custodial wallets such as MetaMask, Ledger, and WalletConnect.
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贝莱德牵头至少 120 亿美元债务融资，支持 Meta 得州大型数据中心项目
According to people familiar with the matter cited by The Wall Street Journal, BlackRock is leading a debt financing deal of at least $12 billion to fund a large-scale data center project in El Paso, Texas, jointly supported by BlackRock and Meta Platforms.
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AMD Launches AI Rack System Helios, with Microsoft, Meta and Other Giants Joining the Deployment Camp
AMD has officially launched its first rack-scale AI system for artificial intelligence, Helios. This is seen as AMD's key product to rival Nvidia's Grace Blackwell and Vera Rubin AI systems. It has been adopted by enterprise customers including Microsoft, Meta, OpenAI, and Oracle, as AMD seeks to mount a more direct challenge to Nvidia in the AI infrastructure market.Microsoft announced it will deploy the AMD Helios system in its Azure data centers, becoming the latest customer to adopt the platform. AMD stated that Helios is expected to begin shipping to customers later this year and will be used to support frontier AI model inference, Azure AI services, and enterprise-level AI applications. Data from market research firm Futurum Group shows that Nvidia currently holds over 95% of the data center GPU market share, while AMD holds approximately 4.5%. Analysts believe that if Helios deployment goes smoothly, AMD has the potential to capture 20%-25% of the market share in the future, corresponding to a potential market space worth hundreds of billions of dollars. (CNBC)
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AI startup CuspAI completes nearly $500 million financing round and announces establishment of AI Material Foundry Alliance
According to Bloomberg, UK startup CuspAI, founded just two years ago, has raised nearly $500 million, with its core bet being the use of artificial intelligence to improve semiconductor production processes. On Monday, CuspAI announced the establishment of the "AI Materials Foundry," an alliance that brings together more than 48 tech companies, industrial companies, and research institutions, with members including NVIDIA, Meta, and Hyundai Motor Group.
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Polymarket shows "US government will ban open-source AI models in 2026" probability currently at 16%
The PPP Prediction Market Tool monitors that on Polymarket, for the event "Will the US government ban open-source AI models in 2026?", the "Yes" probability is currently at 16%.According to the resolution rules, if the US federal government, before December 31, 2026, through legislation, executive orders, export controls, or other formal policy actions, restricts the US public's access or use of a specific open-source AI model, the market outcome will be resolved as "Yes." Otherwise, the market outcome will be resolved as "No." Eligible open-source AI models refer to general-purpose large language models or multimodal foundation models whose model weights and source code are publicly downloadable and can be run on hardware under user control, such as Meta Llama, Mistral, DeepSeek, Qwen, etc.Recently, the open-source Kimi K3 model launched by Moonshot AI has drawn market attention to whether it will impact closed-source AI. OpenAI's Director of Strategy, Dean W. Ball, stated on X platform that the US government might adopt soft legal measures to prevent open-source models from entering the US. David Sacks, Chairman of the President's Council of Advisors on Science and Technology, believes that using regulatory uncertainty to suppress open-source competition is "unacceptable."Join the PPP Signal Push Community to stay ahead and seize the opportunity.
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Anthropic may become an AMD customer
SemiAnalysis posted on X platform, stating that a YAML configuration file made public on GitHub by a senior AI executive at AMD shows that Anthropic is listed as an AMD "customer," currently possibly in the product evaluation or testing phase. The document reveals that Anthropic has been granted the highest priority of 30 points, placing it on the same level as existing hyperscale customers like Meta. It is important to note that Anthropic is still in the evaluation stage.
Serenity responds to AI stock crash: portfolio has already retraced 49% in a single month, but long-term thesis remains unchanged
Odaily "White Hair Stock God" Serenity posted on platform X, stating that due to the recent market downturn, his investment portfolio experienced a maximum drawdown of 49.4% this month. However, he still maintains his view on the long-term trend of the AI industry chain.Serenity revealed that his investment portfolio is mainly concentrated in key segments of the AI industry chain, including: semiconductor upstream, memory chips, photonics, humanoid robotics, and AI infrastructure-related companies. Because these areas typically have higher beta attributes, he previously used leveraged investments but has reduced the leverage level after the current round of market decline.Facing market skepticism towards AI-related assets, Serenity stated that recently a large number of investors have begun to believe: "AI is a bubble," "memory chips and the Korean KOSPI market are a bubble," "photonics is a bubble,""humanoid robots will not succeed," and "Neocloud (new AI cloud service providers) will eventually be replaced by hyperscale cloud vendors like Meta." Meanwhile, some retail investors and trading bots have even started advocating for "liquidating everything, the market will not recover."Serenity said he still believes these investment themes are supported by structural revenue growth and technological change. He experienced similar drawdowns in the past when global tariff risks impacted the market, and the market eventually rebounded. His investment horizon is long-term, allowing him to withstand higher volatility, and he will not change his long-term judgment based on short-term price fluctuations. Sharing this drawdown data is also to maintain transparency, allowing the market to see the real risks behind high-volatility growth investments.Serenity added: "If my prediction is that the revenue inflection point will come in the second half of 2027, and it is only 2026 now, then a decline of just a few weeks or months doesn't prove that the investment thesis has failed."
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Circle Partners with BIND Group to Provide USDC Access to Argentine Institutions
: Circle has entered into a strategic alliance with Argentine financial services group BIND Group to provide USDC liquidity access to Argentine enterprises through BEN, a licensed virtual asset service provider under BIND. BIND Group has total assets exceeding $2 billion, and its core banking entity, BIND Banco Industrial, provides services to institutions and enterprises. BEN will operate in compliance with Argentine regulatory requirements, supporting use cases such as payments, treasury management, and digital asset transfers. BIND Vice President Andrés Meta stated that expanding institutional access to USDC is an important step for the Argentine digital asset ecosystem. Circle CEO Jeremy Allaire noted that Argentina has become a more attractive destination for foreign investment. Argentina is one of the few markets in Latin America where USDC adoption levels are close to those of USDT. Tether-backed Oobit disclosed that transaction volumes completed by Argentine users using USDC account for 46% of the country’s total stablecoin transaction volume.
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Meta Announces Additional $40 Billion Investment in Louisiana Data Center
META announced it will invest an additional $40 billion in the Louisiana data center, expanding the data center's computing capacity to 5GW.
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Morgan Stanley: AI Capex to Reach $1.4 Trillion in 2028
According to TechFlow Research, Morgan Stanley's July 10 report projects that in 2028, the combined capital expenditure of the five major hyperscalers—Microsoft, Google, Amazon, Meta, and SpaceX—will reach $1.4 trillion, a more than threefold increase from 2025 levels; available compute capacity will expand from 30GW to 120GW. Meta is listed as the top pick, with 2027/2028 Capex raised to $225 billion/$250 billion. Morgan Stanley particularly emphasizes Meta's API business opportunities: Muse Spark 1.1 pricing is 30%-86% lower than peers, and every 100MW of compute capacity can generate approximately $8 billion in revenue and approximately $1.9 per share in EPS increment. The deciding factor in the compute race is shifting from "how much to build" to "how much to sell," as Meta simultaneously holds five monetization paths. Morgan Stanley maintains an Overweight rating on Meta, Amazon, and Google.
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Meta (META): Multiple KOLs Bullish, $1.7 Trillion Market Cap Possibly Undervalued
According to monitoring by the BlockFlow KOL Opinion Aggregation Platform, Meta Platforms (META) is currently priced at $669.21. Multiple KOLs are unanimously bullish, believing that given its massive user base across multiple platforms and AI infrastructure build-out, the $1.7 trillion valuation is cheap.
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JPMorgan: Software Profits Are Shifting from Model Layer to Infrastructure
According to TechFlow Research, a July 13 report from JPMorgan pointed out that Starbucks building its own AI tools to replace Microsoft and IBM software, Microsoft using its self-developed MAI to replace OpenAI and Anthropic models, and Meta developing cloud business to sell AI compute collectively illustrate a trend: the software profit pool is shifting downstream from the model layer. DigitalOcean's Q2 remaining performance obligations exceeded $800 million, a 10-fold year-over-year increase, with AI inference already accounting for a significant portion; over half of Cloudflare's requests originate from AI agents, and it launched a crawler paywall to open new revenue sources. Morgan Stanley believes model providers face pressure of being replaced, infrastructure layer demand remains strong but the structure is changing, enterprise customers' bargaining power is rising, and investment logic needs to shift from "model as winner" to "infrastructure and intermediary layers".
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Analyst: Memory Chip Sector Underlying Logic Re-evaluated, Leading Stocks Drop Over 20% in Past Few Weeks
According to CCTV Finance, the US stock memory chip sector encountered a collective correction after hitting a high in late June, with industry leaders such as SanDisk, Micron Technology, Seagate Technology, and Western Digital seeing stock price declines of over 20% in the past few weeks. The triggering factor was Meta selling computing power, which sparked market concerns about a surplus in computing power, while the core variable lies in whether the technical gaps between various AI large models will continue to narrow. Industry insiders point out that the memory chip industry has historically exhibited significant cyclicality—during booms, manufacturers collectively expand production leading to plummeting prices and industry-wide losses, followed by collective contraction in capital expenditure. Meanwhile, the industry's business model is undergoing profound changes, with cloud vendors and AI data centers increasingly signing 3-to-5-year long-term supply agreements with original manufacturers, including price ranges and minimum purchase volumes, to ensure the stability of key supply chains.
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Tencent in Talks to Acquire Manus: Sources Say It Will Retain Minority Shareholder Status
According to Southern Metropolitan Daily, Tencent is negotiating to become the largest shareholder of general AI Agent company Manus. A consortium of Chinese capital led by Tencent plans to repurchase all equity of Manus from Meta at a valuation of approximately 2 billion USD. However, sources familiar with the matter revealed that upon completion of the transaction, Tencent will still maintain a minority shareholder status and will not hold a controlling stake. Manus is an AI Agent product launched by Butterfly Effect Company. It went viral overnight in China in March 2025, and its annualized revenue has exceeded 100 million USD. Previously, Meta announced the acquisition of Manus, but due to the intervention of the Ministry of Commerce and the foreign investment security review mechanism, the acquisition was legally prohibited and required to be revoked in April 2026. This repurchase by Chinese capital marks the subsequent progress following the halt of the acquisition.
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AI Giants Shake Up Capital Markets: SpaceX, OpenAI, and Anthropic Could Create the Biggest Exit Wave in US VC History
the National Venture Capital Association (NVCA) and PitchBook recently released the "Venture Monitor" report, noting that after SpaceX's listing and the potential IPOs of Anthropic and OpenAI, the combined value generated by these three companies will reach an unprecedented level. The report states: "With SpaceX going public, combined with the future exits of these companies, the value created will surpass the total exit value of all US VC-backed companies since 2000." The core factor lies in the extremely high valuation expectations of these three companies.SpaceX is currently valued at approximately $1.77 trillion, while Anthropic and OpenAI are also moving towards multi-trillion-dollar enterprise valuations. The market estimates that the combined valuation of the three companies could exceed $4 trillion. This scale far surpasses past large-scale tech IPOs. Data from the U.S. Securities and Exchange Commission (SEC) shows that total US IPO fundraising last year was about $70 billion, whereas SpaceX's single-company valuation has already reached a level that traditional large-scale IPOs find hard to match. As a once-highly-watched tech IPO case, Uber was valued at around $84 billion when it went public in 2019, which is less than 5% of SpaceX's current valuation.However, the comparison by NVCA and PitchBook is based on "enterprise value created," not the actual cash-out amounts for investors. Additionally, the analysis does not include non-US companies like Alibaba. Furthermore, the value created by already-public companies such as Apple, Google Android, YouTube, and Instagram is not counted in the VC exit statistics.The report points out that over the past 25 years, the US tech market has seen several historic IPOs, including Google in 2004, Tesla in 2010, and Meta in 2012. These companies have since become some of the world's most valuable enterprises. Additionally, companies like LinkedIn, Slack, and WhatsApp were acquired for over $20 billion.The NVCA believes that the current IPO cycle driven by artificial intelligence (AI) could further break these records. The analysis suggests two main reasons driving this trend:First, tech companies are staying private for longer periods than in the past, accumulating higher valuations through prolonged financing and business expansion. If today's Google were in its early stages, it might also choose to go public later to achieve a higher market valuation.Second, the AI industry is highly capital-intensive. Training large AI models requires massive investment, pushing AI companies to continuously raise substantial funds and driving rapid valuation growth.Industry insiders believe that the potential scale of IPOs by SpaceX, Anthropic, and OpenAI will test the capacity of the US capital market. As AI companies transition from the private financing stage to the public market, how trillions of dollars in tech assets flow into the stock market will become a focus for investors. (DigitalToday)
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AI voice startup Gradium completes $100 million seed round with NVIDIA participation
Gradium, a Paris-based real-time voice AI startup, has announced the completion of a $100 million seed funding round, with NVIDIA participating as an investor.The company has recently rapidly launched multiple voice AI products, covering tools such as real-time speech-to-text (STT), text-to-speech (TTS), real-time translation (Gradium Translate), and the Phonon audio model. The funding will be used to establish a new office in San Francisco, deeply integrate with the North American AI industry ecosystem, and accelerate the recruitment of global technical talent. Gradium specializes in ultra-low-latency real-time voice interaction models, spun out of the French AI lab Kyutai, with its founding team hailing from top AI institutions such as Google Brain, DeepMind, and Meta.
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