Meta is an American multinational technology conglomerate. It owns Facebook, Instagram, and WhatsApp, among other products and services.
The PPP Prediction Market tool monitors that Polymarket has listed a new event: "Will the US government revoke public access to another major AI model?" The current probability is reported at 33%.The settlement rules state: If the US federal government, by the end of 2026, passes relevant legislation, issues an executive order, implements export controls, or takes any other action that substantially restricts US public access to a major AI model, the market outcome will be "Yes." Otherwise, the outcome will be "No." A "qualifying action" refers to a formal measure taken by the US government, the effect of which is equivalent to completely prohibiting the public from accessing a specific AI model within the United States. Furthermore, the settlement rules emphasize that regardless of the action's true purpose or nominal goal; if the action effectively results in the public being unable to access the model within the US—for example, prohibiting the model from being provided to foreign citizens or governments, as long as the general public cannot access the model through conventional channels within the US—it meets the qualification requirements. Merely excluding access to the model from a single channel is insufficient. Removals of public access that are not caused by any formal action of the US government are not eligible."Mainstream AI model" refers to the flagship, general-purpose large language model or multimodal foundation model developed by one of the following companies: OpenAI, Anthropic, Google (including Google DeepMind), Meta, xAI, Microsoft, Amazon, Mistral AI, DeepSeek, Alibaba, ByteDance, Moonshot AI, and Zhipu AI (Z.ai). Models designed for specific tasks, or those that are outdated, used solely for research or preview purposes, do not meet this criterion.The action can target a single model or a group of models, as long as at least one major AI model becomes inaccessible to the public within the US as a result. A temporary suspension of public access to a model meets this condition. However, if an action has been implemented or a related resolution has been issued, but the public can still access the model before the resolution takes effect, that action does not meet the condition.The information sources for this market are official announcements and information from the US government and the relevant AI companies. However, reliable media reports may also be referenced to form a consensus.The Odaily Seer Channel continues to monitor prediction markets, observing changes before prices are set.
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The Kobeissi Letter, citing Bloomberg on X, stated, "US technology companies have committed a record $850 billion over the next few years for data center leases, an increase of $570 billion year-over-year, representing a 204% jump, and a sequential increase of $200 billion, or 31%."According to the report, Meta added $79 billion in new commitments in the first quarter of 2026, up 76% from the previous quarter, bringing its total commitments to approximately $183 billion. Microsoft added $41 billion in the same period, up 26% sequentially, bringing its total commitments to around $197 billion. Oracle leads with total commitments of approximately $250 billion, having locked in several key sites to fulfill its contract with OpenAI.
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AI data center Crusoe Energy Systems is in talks for a new round of financing worth approximately $3 billion. Upon completion of this round, the company's valuation is expected to roughly triple from the previous round, reaching the $30 billion range.Founded in 2018, Crusoe initially started with crypto-related businesses before transitioning into an AI infrastructure and data center service provider. It is currently categorized as one of the "neocloud" firms, a new type of cloud computing company focused on providing computational power support for generative AI. The company has signed compute supply contracts with tech giants including Meta and Oracle. As demand for AI infrastructure construction surges, the scale of its compute business continues to expand.According to previously public information, Crusoe completed a funding round of approximately $1.38 billion last year, with a valuation exceeding $10 billion. If this new round is successfully completed, it would become another large-scale capital move in the AI infrastructure sector.Market sources estimate that the final valuation for this round could be around the $30 billion level, but the deal is still in progress and has not yet been finalized. (Reuters)
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according to an official announcement, Binance CrossMargin, PortfolioMargin, and PortfolioMargin Pro have added 15 new bStocks tokens as qualified collateral assets, including Circle (CRCLB), Micron (MUB), NVIDIA (NVDAB), Sandisk (SNDKB), Tesla (TSLAB), SpaceX (SPCXB), Advanced Micro Devices (AMDB), iShares MSCI South Korea ETF (EWYB), Intel (INTCB), Strategy (MSTRB), Lumentum (LITEB), Meta (METAB), Microsoft (MSFTB), Palantir (PLTRB), and Invesco QQQ Trust (QQQB). The corresponding trading pairs are now available for margin trading. This feature is only available to VIP3 and above users in eligible regions, and loans are not currently supported.
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SanDisk (SNDK) saw its stock price plunge over 10% today, affected by industry panic triggered by Meta's plan to sell excess computing power and market funds withdrawing profits from the AI sector. According to Gate platform data, SanDisk (SNDK) is currently trading at $1,743.00 (-14.35%), hitting a 24-hour low of $1,693.79. Despite the sharp short-term decline, SNDK’s long-term fundamentals remain optimistic, and related contract trading continues to be active. According to Coinglass data, Gate SNDK contracts recorded a 24-hour trading volume of $82.131 million and an open interest of $22.3788 million, both ranking among the top in the market.Gate's stock sector has established a 7×24 trading service system covering three core markets: US stocks, Hong Kong stocks, and South Korean stocks. It supports over 10,000 US stocks and ETFs, more than 1,500 Hong Kong stocks, and over 1,000 South Korean stocks, collectively covering more than 12,500 global stocks and ETF assets. Users can participate in global stock investments through the Gate unified account using USDT, with support for fractional share trading starting from as low as 0.01 shares and eligibility for stock dividend rights. The platform also supports cross-broker transfer of US and Hong Kong stocks, as well as corporate actions such as stock splits and reverse stock splits, further optimizing the stock investment service experience.
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针对有媒体披露 Meta 首席执行官马克·扎克伯格在内部会议上告诉员工,过去四个月的 AI 代理开发并未“以我们预期的速度加速”,Meta 首席 AI官 Alexander Wang 发文回应澄清表示,扎克伯格指的是整个行业在智能代理能力上的整体进展,而非 Meta 自身,他同时透露 Meta 即将发布新一轮 Muse Spark 更新,将显著提升模型的编程能力和智能代理能力,以更具竞争力地对标业内领先模型,并将陆续上线至 Meta AI 及全新 API 平台。
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Odaily Odaily News: Ablikim Ablimit, Vice President of Lenovo Group and Chief Strategy Officer of Lenovo China, stated that in the long term, whether in China or overseas markets, there is still significant room for AI computing power demand, and there is no situation of oversupply. He noted that currently, the number of mature, leading AI products on the consumer (C-end) side is limited, and the potential for commercial deployment on the enterprise (B-end) side has not yet been fully released. The growth dividends from historical productivity revolutions have always been driven by the industrial sector, indicating huge long-term demand for computing power.He also pointed out that currently, the AI industry chain faces issues of overly strong supply-side influence and an imbalanced supply-demand cycle. On the news front, Meta's recent opening of its computing power has sparked market concerns about a potential oversupply. (Yicai)
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According to TechFlow Research, Morgan Stanley released a research report on July 1 stating that, regarding Bloomberg's report on Meta planning a cloud computing business, it judges that Meta is more likely to choose the lighter path of renting out idle computing power rather than building a full cloud service benchmarking AWS. The report calculates that renting out 250 MW of computing power at $40/watt could be accretive to 2028 earnings per share by approximately 8%, and when the scale reaches 1000 MW, the accretion could reach 33%, but this earnings accretion is viewed as a transitional buffer, not the core logic supporting the rating. Morgan Stanley also mentioned that Meta's self-held computing power will expand to 1.9 GW and 3.4 GW in 2026 and 2027 respectively, providing room for the rental calculations. Morgan Stanley maintains its Overweight rating on Meta with a target price of $775, representing approximately 37.6% upside compared to the closing price of $563.29, while setting the 2027 capital expenditure expectation at $175 billion; if the cloud computing business scales up, there is a possibility of an upward revision in capital expenditure.
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Odaily Odaily: White-haired stock guru Serenity posted on X agreeing with Wells Fargo's view, stating that the market has completely misinterpreted Meta's stance on selling excess computing power. Wells Fargo stated that Meta's willingness to sell off surplus computing capacity is a positive signal that underlying AI demand and Unit Economics remain robust. Wells Fargo noted: "While Meta is moving forward with this plan, we do not see this as an indication that Meta will reduce capital expenditures (CapEx), nor do we believe that overall demand for computing power has declined."Regarding Neocloud companies, Wells Fargo believes this move further validates the significant opportunity in the AI infrastructure market, while also highlighting the potential for industry mergers and acquisitions, even though Neocloud providers may face certain competitive pressures in the future.
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According to TechFlow Research, Morgan Stanley released an Internet Tracking Report, noting that Google and Meta's nominal EV/EBITDA multiples appear inexpensive (GOOGL 16.1x, META 8.9x), but after adjusting for stock-based compensation accounting treatment, the true multiple rises from 16.3x to 31.1x (+91%), still lower than the five-year average of 31.6x, implying that the true valuation of internet giants is undervalued by the market by more than 30%.
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: Citrini analyst jukan posted on X platform, stating that supply chain sources indicate MediaTek has essentially secured its second ASIC customer beyond Google. If nothing unexpected happens, this customer will be Meta, as previously rumored. Per its usual practice, MediaTek does not publicly comment on individual products, customer situations, or market rumors. Qualcomm currently seems to hold key major clients such as Meta, Microsoft, and ByteDance, but industry insiders believe that MediaTek is not at a disadvantage as it deepens its cooperation with Google and has the opportunity to lock in a second customer. According to semiconductor supply chain sources, based on the order prospects and generational transition pace of AI data centers and ASIC products from major cloud service providers, Google remains the most proactive and aggressive key client. MediaTek not only has two product codenames, Zebrafish and Humufish, but market information and industry insiders familiar with ASICs have confirmed that its participation in the v9 generation Triggerfish is almost certain. This implies that from late 2026 through 2028, and even extending to 2029, MediaTek can stably generate revenue from TPU mass production. Compared to Qualcomm's proposed 2029 cloud AI revenue target of $15 billion, MediaTek, holding multiple TPU ASIC orders, is only a matter of time before reaching the $10 billion level. The industry is also watching whether MediaTek can smoothly secure a second key cloud service provider as a major client. Combining earlier market information and recent supply chain confirmations, MediaTek is still actively cooperating with Meta on ASIC products, with the collaboration likely centered on AI accelerator chips. Meta has recently partnered with both Arm and Qualcomm, but those related products are aimed at CPUs. For its self-developed AI accelerator chips, there have been no clearer collaboration announcements. IC design industry insiders note that Meta’s recent cloud AI development strategy has indeed been relatively chaotic and unclear, with its internal chip development plans undergoing multiple adjustments. Even in the CPU domain, it has sought multiple partners and adopted different approaches. Regarding AI accelerator chips, although Meta has previously formally announced its cooperation plan with Broadcom, supply chain sources indicate this has not interrupted the ongoing cooperation plans between MediaTek and Meta. IC design industry insiders also emphasize that the cloud AI development roadmaps of MediaTek and Qualcomm remain distinctly different. MediaTek is concentrating all its resources on the ASIC business, while Qualcomm plans to advance both customization and standardization simultaneously, covering both AI accelerator chips and CPU product directions.
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Serenity, known as the "White-Haired Stock Guru," posted on X platform, stating that there is a lot of misleading information regarding Meta cutting capital expenditure due to "overbuilding." Meta would only sell computing power if there were excess capacity, but the current situation seems to be the opposite. Hyperscalers like Google cut their computing power allocation to Meta in March, as Meta's internal projects consumed too many resources, leaving Meta constrained by computing power. Meta was then immediately forced to sign massive contracts exceeding $48 billion with Neoclouds such as CoreWeave and Nebius.Meta only sells computing power when there is excess capacity. In particular, the large contracts it has signed with Neoclouds are largely take-or-pay agreements. Serenity expects Meta's guided capital expenditure to rise, as it is building more independent capacity.
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: According to MSX.COM data, Meta Platforms (META.O) saw its pre-market gains widen to over 8% at one point. The company is building a cloud business to sell its excess AI computing power.
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According to official sources, MGBX will list METAB (Meta), LITEB (Lumentum), and MSFTB (Microsoft) for spot trading on July 1, 2026 at 18:00 (SGT). Deposit opening time is July 1, 2026 at 16:00 (SGT). Trading opening time is July 1, 2026 at 18:00 (SGT). Withdrawal opening time is July 2, 2026 at 19:00 (SGT).
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Odaily Odaily News “White-Hair Stock God” Serenity summarized recent dynamics in the semiconductor industry on X platform, indicating multiple signs show the semiconductor supply chain is tightening. Citing institutional and industry sources, Serenity noted that Morgan Stanley has raised its 2026 forecast for humanoid robot shipments in China from 14,000 and 28,000 units at the beginning of the year to 50,000 units. Probe cards and test sockets are expected to see price increases due to precious metal price hikes and shortages of test pin capacity. Yageo has raised prices on products such as MLCCs, aluminum electrolytic capacitors, tantalum capacitors, polymer aluminum capacitors, film capacitors, and supercapacitors.Additionally, Serenity stated that Meta’s next-generation Vistara architecture will adopt DDR4 memory combined with a CXL expansion solution. OpenAI is reported to have made a breakthrough in inference optimization, halving inference costs and reducing GPU demand. After Samsung signed a long-term supply agreement (LTA) with a major US tech customer, it has also begun adopting long-term agreement supply models for MLCCs.Serenity also cited a Digitimes report that OSAT (Outsourced Semiconductor Assembly and Test) packaging and testing providers have begun to raise prices. Currently, memory and IC packaging and testing capacity have both become significant bottlenecks in the semiconductor supply chain.
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: According to official announcements, Bitget has completed the dividend distribution for 20 US stocks and ETFs, including rNVDA (NVIDIA), rGOOGL (Google), and rMETA (Meta). Bitget has automatically settled the USDT dividend payments proportionally to users holding the relevant stocks during the snapshot period. The entire process is automated, requiring no action from users. This dividend distribution covers multiple asset categories, including technology, healthcare, communications, and index ETFs.Users can view the specific details by going to the APP under "Assets" - "Financial Records" - "Spot" - "Other" - "Dividends" or on the Web under "Asset Overview" - "Spot Orders" - "Fund Flow" - "Other" - "Dividends". The final credited amount and time are subject to the actual platform credit and page display.
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internal documents show Meta Platforms (META.O) has imposed limitations on the use of Claude and Codex due to concerns over model distillation risks. (The Information)
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According to The New York Times, Meta is developing a prediction market application named Arena and exploring potential collaborations with platforms such as Polymarket and Kalshi. Targeting younger users, the product may be deeply integrated into the Facebook and Messenger ecosystems in the future.
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Odaily Odaily reporter: Meta CEO Mark Zuckerberg has urged his subordinates to explore partnerships with prediction markets Polymarket and Kalshi. Meanwhile, Meta is developing a similar prediction market application called Arena.Executives said that Arena is currently in internal testing and may not be released in the future. The application will rely on points similar to those in video games, rather than accepting real money bets. Meta aims to attract at least 100 million monthly active users for the application and plans to eventually integrate some of Arena's features into Facebook and Messenger. (Reuters)
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Dawn Song (Xiaodong Song), co-founder of Virtue AI and former founder of Oasis Labs, announced on X that she will join Meta’s Superintelligence Labs (MSL) as Vice President of AI Research. She will be joined by several members of the Virtue AI team. She stated that she will focus on advancing Meta’s work in AI safety and AI security, with an emphasis on enhancing the safety, trustworthiness, and usability of cutting-edge AI models and agent systems.
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