Meta
Meta is an American multinational technology conglomerate. It owns Facebook, Instagram, and WhatsApp, among other products and services.
News Heat Trend
Related news
Amazon "Freeloads" Livestream Content to Train AI, Twitch Faces Class-Action Lawsuit
Odaily News - Twitch, the well-known game livestreaming platform, is facing a class-action lawsuit over allegations that it used streamers' broadcasts, clips, chat logs, and photos to train parent company Amazon's generative AI models without consent or compensation. The plaintiff in this class action, Warren Pandiscia, a streamer with around a thousand followers, filed a 37-page complaint last week in the U.S. District Court for the Northern District of California, accusing the platform of violating creators' implied agreements and state unfair competition laws.This lawsuit also marks the first public confirmation that Amazon has indeed been using Twitch content to train its own AI models. The tech giant acquired Twitch for nearly $1 billion in 2014 and has continued to ramp up AI investment in recent years, aiming to catch up with competitors such as Google and Meta. It remains unclear when Amazon began collecting this data, nor is it certain how much content has actually been used for model training. (Engadget)It is reported that Twitch has been integrated into prediction market platforms like Polymarket, primarily for real-time livestreaming of esports matches. Currently, Polymarket hosts over 500 prediction markets that rely on Twitch livestreams.
District
Polymarket
Microsoft derives approximately 70% of its AI business revenue from OpenAI, with clients still highly concentrated in the tech industry
Microsoft's major AI business clients remain primarily concentrated among technology companies. In its most recent fiscal year, approximately 70% of its AI business revenue—amounting to $24.1 billion—came from OpenAI.Additionally, other key Azure AI clients include ByteDance, Meta, Adobe, Perplexity, Sierra, as well as Ant Group, Meituan, and Tencent. Among these, as of June this year, ByteDance's annualized spending on Microsoft's cloud platform is estimated to exceed $1 billion, while Meta spends several hundred million dollars annually.Although Microsoft has previously disclosed that its AI model marketplace has around 100,000 customers, the bulk of its revenue still comes from a small number of large tech and AI companies, which may indicate that AI has yet to achieve large-scale commercial adoption across the broader economy. (Bloomberg)
June
Term Labs：Term Meta Vault 已关闭，DAO 治理角色已被撤销
Term Labs 发文更新漏洞事件进展。目前所有 Term Meta Vault 已关闭，DAO 治理角色已被撤销。此关闭不可逆，永久禁止进一步存款，但提款仍开放。本次事件涉及 Term Vault 治理。底层 Term 协议及其直接借贷市场尚未受到影响，团队正在继续核实影响范围。若仍存在资金缺口，团队将寻找解决途径。 此前消息，据 CertiK 监测，Term Finance 于昨日遭遇治理攻击，损失约 850 万美元。
CertiK
DAO
DAOMaker
Term Finance
The DAO
Trump Discloses Over 1,000 Securities Trades in June, Selling Meta and Buying Berkshire Hathaway
The largest single transaction occurred on June 22, when Trump sold Vanguard Dividend Appreciation ETF (VIG) worth between $5 million and $25 million. On June 18, he sold Meta and Motorola Solutions stock worth between $1 million and $5 million each, while simultaneously purchasing Berkshire Hathaway, Cintas, Visa, and Mastercard in the same respective value ranges.
June
Vigor
Visa
Trump Conducted Over 1,000 Securities Trades in June: Bought Berkshire, Meta, and Traded Palantir Multiple Times
Odaily News The latest financial disclosure from the U.S. Office of Government Ethics shows that President Trump conducted over 1,000 securities trades in June this year, with a total amount estimated between $78.1 million and $263.1 million based on the disclosed transaction amount ranges, involving companies such as Berkshire Hathaway, Visa, Mastercard, Cintas, Palantir, Meta, and Coinbase.Among them, the largest single trade was the sale of Vanguard ETF worth $5 million to $25 million on June 22. In addition, Trump also purchased Berkshire Hathaway stock worth $1 million to $5 million on June 18, and subsequently sold a smaller position on June 24; on the same day, he also sold Meta stock worth $1 million to $5 million, and made a small repurchase later that month.The disclosure also shows that Trump traded Palantir multiple times in June, initially buying on June 3, then selling on June 16 and 18, and buying again on June 23 and 24.The White House stated that Trump's investments are managed by an independent institution and there are no conflicts of interest. (Bloomberg)
based
Coinbase
June
Visa
Polymarket probability of "BTC returning to $100k within the year" rises to 20%, up 8% in 24 hours
PPP Prediction Market Tool monitoring shows that the probability of "BTC returning to $100,000 within the year" on Polymarket has risen to 20%, up 8% in 24 hours. Additionally, the probability of Bitcoin reaching $90,000 within the year has risen to 38%, up 16% in 24 hours.According to the settlement rules, if by December 31, 2026, 23:59 (ET), the highest price of any 1-minute candlestick on Binance BTC/USDT reaches or exceeds the specified price, the market will immediately settle as "Yes"; otherwise, it will settle as "No." Settlement is based solely on Binance BTC/USDT data.Market data shows that Bitcoin has risen sharply for two consecutive days and briefly broke through $75,000 today. Its current market capitalization stands at approximately $1.502 trillion, surpassing Meta to rank 13th among global assets by market value.Join the PPP Signal Push Community to stay ahead and seize the opportunity.
based
Binance
Bitcoin
Join
Market
Polymarket
About 130 US Data Center Projects Valued at $130 Billion Facing Delays or Pushback, OpenAI and Meta Ramp Up Community Outreach
Odaily News: As concerns grow across the United States over AI data centers' water usage, electricity consumption, and impact on local infrastructure, tech companies such as OpenAI and Meta are adding community relations staff to reduce the risk of local opposition to data center projects. A Gallup survey shows that about 70% of Americans oppose the construction of data centers in their areas, and in the first three months of this year, at least 75 data center projects with a total value of approximately $130 billion were blocked or delayed due to local opposition.Among them, OpenAI is hiring a head of community engagement to mitigate opposition to its data center projects in Ohio and Georgia, while Meta is recruiting a community engagement manager to build relationships with local officials and school districts. Additionally, OpenAI announced this week that it is investing $40 million to establish a community fund in Ohio, Meta has spent millions of dollars on advertising campaigns promoting data centers, and Microsoft has stated it will no longer seek local tax incentives for new data center projects. (Bloomberg)
Center
Anthropic 拟赋予 CEO Amodei 超级投票权，为 IPO 上市铺路
据 Bloomberg 报道，AI 公司 Anthropic PBC 计划在筹备上市前，向首席执行官 Dario Amodei 及其他联合创始人授予具有额外投票权的股份。此举旨在确保创始团队在公司上市后仍能对公司战略方向保持主导控制权。该双重股权结构在科技行业已较为普遍，Meta 创始人扎克伯格及 Snap 创始人斯皮格尔均持有类似的超级投票权股份。
Morgan Stanley: Internet Sector Valuation Discount 7%-14%, But AI ROIC Debate Unresolved, Buying Consensus Not Yet Formed
According to TechFlow Research, Morgan Stanley's August 18 Internet Weekly Report pointed out that the internet sector overall fell 1% last week, with Amazon and Google leading the decline with drops of 4% and 2% respectively. The current valuations of Amazon, Google, and Meta are 20x, 17x, and 19x 2026 earnings per share respectively, representing a discount of 7% to 14% compared to their respective five-year averages. The internet sector's overall NTM EV/EBITDA is at a 7% discount to the five-year average, but NTM EV/Sales remains at a 19% premium. If stock-based compensation (SBC) is treated as a cash expense, the median EV/EBITDA for the digital media, e-commerce, and travel sectors will increase by approximately 36%, 30%, and 44% respectively. The report judges that the AI ROIC debate remains the core focus of the market. There is not yet a consensus to buy at current low valuation levels, as the market has fundamental disagreements on the return on AI capital expenditure. If AI spending continues to erode profit margins, valuations may compress further; conversely, if market confidence in ROIC recovers, valuations are expected to recover. Morgan Stanley believes the internet sector is likely to remain range-bound until the AI return on investment debate shows a clearer direction.
August
based
Pennsylvania Signs Executive Order to Strictly Regulate AI Data Centers, Requires Developers to Bear Power Grid Costs
According to Decrypt, Pennsylvania Governor Josh Shapiro signed an executive order (Executive Order 2026-05) on August 19, imposing new restrictions on large AI data centers with peak power demand exceeding 25 megawatts. Key measures include: removing data centers from the state Permit Fast Track Program; requiring developers to bear the additional costs caused to the grid without passing them on to ordinary users; prohibiting state government agencies from signing confidentiality agreements regarding data center projects; establishing a public map of proposed facilities; and requiring operating data centers to report energy and water consumption annually starting from July 2027. Shapiro stated that there are currently over 100 data center projects proposed in Pennsylvania, but only 20 have submitted environmental permit applications. Earlier in March this year, tech giants such as Amazon, Google, Meta, and Microsoft had already promised at the White House to bear the costs of new power infrastructure required for data centers themselves.
August
Decrypt
Grid
Key
Bank of America: Anthropic leads frontier AI model rankings, token prices ease but GPU rents remain firm
According to TechFlow Research, the frontier AI data tracking report released by Bank of America Securities on August 17 shows that Anthropic leads comprehensively in three major AI benchmarks, with Claude Opus 5 ranking first in the Intelligence Index, Agent Index, and Coding Agent Index, GPT-5.6 Sol following closely behind, Meta MuseSpark 1.2 entering the top ten, and Google Gemini 3.6 Flash ranking outside the top ten. In terms of usage, DeepSeek leads with approximately 30% of the Vercel platform token share, Anthropic accounts for 25% and OpenAI accounts for 16%; but in terms of payment amount, Anthropic leads far ahead with 65%, while OpenAI accounts for only 11%. In terms of pricing, the AI Token Price Index decreased 9% month-over-month in August to $2.21, but still increased 87% year-over-year; GPU rental rates remain strong, with H100 increasing 33% year-over-year to $2.77/hour, DRAM increasing 483% year-over-year, and NAND increasing 432% year-over-year. The research report judges that AI infrastructure demand remains healthy, with open-source model usage growing but payment share still highly concentrated on top closed-source models. BofA believes that the Meta "Watermelon" and Google Gemini 4 releases, token pricing trends and GPU rental trends are
August
Gemini
GPU.Net
Node AI
Opus
Opus
U.S. tech giants' AI infrastructure spending is expected to reach $740 billion this year, with high interest rates posing a major risk to AI stock gains
Odaily News: Alphabet, Amazon, Meta, and Microsoft are expected to spend a combined $740 billion on AI computing infrastructure in 2026, potentially rising to $1 trillion by 2027. As capital expenditures grow rapidly, some tech giants are shifting from relying on their own cash flow to debt and equity financing, while persistently high U.S. long-term interest rates are becoming a key risk to AI stock valuations.Among them, Alphabet reported its first negative free cash flow since going public in the second quarter, while Amazon's free cash flow is projected to be -$23.5 billion and -$36.2 billion this year and next, respectively. However, earnings at AI-related companies remain strong, with S&P 500 information technology sector profits expected to grow 71% year-over-year in the second quarter. The market believes that if corporate earnings and the economy continue to show resilience, high interest rate pressures may still be absorbed, but if rates rise rapidly, high-valuation AI and tech stocks will be more vulnerable to shocks. (Bloomberg)
Vals AI Raises $40 Million in Series A Funding at $400 Million Valuation, Led by a16z
Odaily News AI model evaluation company Vals AI announced it has completed a $40 million Series A funding round at a $400 million valuation, led by a16z, with participation from 8VC, Pear VC, Bloomberg Beta, as well as HRT Ventures and Next Ladder Ventures. The new funds will be used to expand evaluation infrastructure and launch testing tools that create programming benchmarks based on enterprise GitHub code repositories.Vals AI evaluates frontier models from companies such as OpenAI, Anthropic, Google, Meta, and xAI using its independent framework, rather than relying on traditional public benchmarks. Its team members primarily come from companies including Nvidia, Meta, and Palantir. (Techfundingnews)
based
Ladder
Pear
China Plans to Lift Exit Bans on Manus Founders, Company to Spin Off from Meta and Resume Independent Operations
According to the UK's Financial Times, China plans to lift exit restrictions on the founders of AI agent company Manus. Previously, Manus CEO Xiao Hong and Chief Scientist Ji Yichao were required to travel to Beijing for investigation and were restricted from leaving the country in March this year, as the company's acquisition by Meta for $2 billion was suspected of violating investment regulations. According to two informed sources, Xiao Hong recently told employees that he plans to return to Singapore, where the company's headquarters is located, in the near future. Manus announced this week that it will soon resume independent operations, stating that this move is "part of the separation from Meta to comply with regulatory requirements in specific regions." The divestiture transaction still requires final approval from China's National Development and Reform Commission (the NDRC had halted Meta's acquisition in April).
Company
Spin
Alibaba’s Qwen Model Surpasses 3 Billion Downloads, Tops Global Open-Source AI Models
Odaily News Alibaba Group's open-source large model family Qwen has surpassed 3 billion cumulative global downloads over the past six months, exceeding competitors including Meta and Alphabet to become the most-downloaded open-source AI model to date. Alibaba stated that the Qwen series has open-sourced over 460 models, with more than 300,000 derivative models in the ecosystem. According to Hugging Face's "State of Open Models" report, Google models recorded approximately 418 million downloads in 2026, while Meta saw around 227 million. The report noted that Qwen has become one of the "default workflows" for developers when fine-tuning and deploying models, positioning Alibaba as a key foundation in the open AI ecosystem. (Bloomberg)
Open
阿里巴巴
AI model evaluation company Vals AI completes $40 million Series A financing, led by a16z
According to TechTimes, AI model evaluation company Vals AI announced the completion of a $40 million Series A funding round at a $400 million valuation, led by a16z, with participation from new investors such as 8VC, Pear VC, and Bloomberg Beta, as well as HRT Ventures and Next Ladder Ventures. Vals AI evaluates frontier models launched by companies such as OpenAI, Anthropic, Google, Meta, and xAI using an independent system rather than traditional public benchmarks, and the new funds will be used to expand evaluation infrastructure and launch testing tools that create programming benchmarks based on enterprise GitHub codebases.
based
Ladder
Pear
HSBC: CSP Capex Far From Peaking, Leverage Capacity Supports AI Trend Until 2028
According to TechFlow Research, HSBC's August 12 report pointed out that since July 1, the Philadelphia Semiconductor Index has fallen 16% and the S&P 500 has risen 3%, indicating the market's concern over CSP capital expenditure peaking is excessive. Consensus forecasts the capex growth rate of the five major CSPs (Alphabet, Amazon, Microsoft, Meta, Oracle) will decline from 95% in 2026 to 46% in 2027 and 11% in 2028, with free cash flow turning from $34 billion to -$104 billion. However, HSBC scenario analysis shows that if 2027 capital expenditure reaches $1.0 to $1.6 trillion, the Net Debt/Equity ratio will only rise from the current 7% to 8% to 30%, and even if 2028 reaches $1.9 to $2.5 trillion, the Net Debt/Equity ratio will only be 25% to 43%. Under HSBC's aggressive scenario, the overall CSP ROIC will be 19% in 2027 and 17% in 2028, which HSBC believes is still acceptable. The research report judges that TSMC, Intel, and ASML's June quarter capacity expansion guidance is supported by demand. HSBC's top picks are Marvell, Intel, TSMC, and ASML, with target prices of $300, $200, NT$3,400, and €2,149 respectively, all rated Buy. The five major CSPs also all maintain Buy ratings, with target prices of Alphabet $420, Amazon $310, M
August
June
Oracle
Trend
Fu Peng: AI Capital Expenditures by Major Firms Like Alibaba and Tencent Disrupt the High Free Cash Flow and Stable Buyback Dividend Structure
Odaily News, Fu Peng, Chief Economist of Xinhuo Group, stated on X platform that Tencent's latest free cash flow has turned negative. The substantial increase in AI capital expenditures by Alibaba, Tencent, and Silicon Valley giants such as Meta and Google has disrupted the previous "high free cash flow with stable buybacks and dividends" structure. Over the past period, the market has been optimistic about AI, believing that such large capital expenditures represent a long-term competitive advantage in the future.He stated that starting from the second quarter of this year, the market's tolerance for the mismatch between investment and returns has declined, and sentiment has become more cautious. Currently, the revenue generated at the application level is still in a validation phase compared to cumulative investments reaching hundreds of billions, and the high capital expenditures need to correspond with quantifiable long-term return expectations. The coming quarters will be a critical window period, as investor sentiment has shifted from the positivity seen in previous years to caution. Only by seeing truly quantifiable and certain revenue growth can investor doubts be dispelled. The same scale of capital expenditures may lead to different outcomes under varying investor sentiment.
Cash
Flow
Flow
Flow
Free
Major
Morgan Stanley: Storage LTAs Are Rewriting Pricing Logic, Major Suppliers Vying to Lock in Long-Term Capacity
According to TechFlow Research, Morgan Stanley's August Global Technology Webinar pointed out that memory chip Long-Term Agreements (LTAs) are shifting from intention disclosure to substantive implementation, and pricing mechanisms are being rewritten. Samsung explicitly planned for the first time to include 60% to 70% of capacity into rolling five-year LTAs, with 5 contracts signed and 5 in final negotiation; clients include AWS, Microsoft, Google, Meta, and Oracle. Micron has signed 16 LTAs, receiving approximately $22 billion in prepayments and commitments. SanDisk locked over 50% of FY2027 wafer capacity, with a minimum revenue commitment reaching $93.9 billion. Kioxia targets to include 50% of sales volume into LTAs by 2028. Pricing is shifting from spot pricing to a two-way protection mechanism with price floors and ceilings, and clients need to provide prepayment deposits. The research report estimates that 3Q26 DRAM contract prices will rise QoQ by about 15% (lower than the expected 20%), NAND will rise by about 20%, with gains narrowing for both; it is expected to slow down further in 4Q26, but Morgan Stanley believes this does not mean the end of the cycle. Price protection mechanisms under the LTA framework are reducing the earnings volatility of memory manufacturers, and the market should no longer use the traditional commodity cycle framework to price memory stocks. Regarding SpaceX, Morgan Stanley maintains an Overweight rating and a $300 price target, with an end-2026 ARR target of at least $100 billion, and 4Q26 single-quarter ARR expected to be about $22 billion.
Agentwood Studios
August
Long
Major
Oracle
Price
腾讯、真格基金、红杉中国等以 20 亿美元向 Meta 购回 Manus 股份
据财新网报道，接近 Manus 的人士透漏，腾讯、真格基金、红杉中国等 Manus 此前的主要股东以 20 亿美元向 Meta 购回 Manus 股份，本次 20 亿美元的交易价格接近美国社媒科技巨头 Meta 在 2025 年 12 月宣布的收购价。