Meta is building an enterprise sales business for AI products, recruiting a team to sell to small and midsize businesses and partnering with Accenture, Deloitte and IBM to promote and deploy its tools. According to Sina Finance, the initiative aims to turn Meta’s AI investment, including up to $145 billion in planned capital spending this year, into a new revenue stream. In September, CEO Mark Zuckerberg launched Meta Enterprise Platform to sell AI products to businesses and developers, including Muse Code, enterprise agent software and the Muse Spark model series. He appointed former MongoDB CEO Chirantan “CJ” Desai to lead the division and called it a potential major pillar for Meta. Meta’s Workplace product had 7 million paid users at its 2021 peak, but struggled to compete with Microsoft and Slack; Meta announced its closure in 2024. The company also scaled back or adjusted enterprise virtual reality products. Meta tried to persuade retailers to put AI agents on their websites last October, but major companies including Amazon and Booking.com resisted. They cited concerns about Meta accessing their customers, control over agent responses and handoffs to human customer service, and sharing customer data. Integrating agents with back-end inventory, pricing and logistics systems also proved more complex than Meta expected. Meta halted the website deployment project last December after customer feedback indicated that consumers did not want to interact with chatbots on retail sites. Meta has had more success deploying agents on its own messaging platforms. Brazilian car rental company Movida uses one on WhatsApp, while Indian e-commerce company Flipkart and Brazilian electronic toll-service provider Sem Parar have also adopted the product. Meta product vice president Fred Leach said the company is working to bring more large businesses to its messaging apps and that it is “just getting started.” On its recent third-quarter earnings call, Meta said more enterprise products are forthcoming. Zuckerberg said its long-term goal is to build an AI-agent “business network” that can operate across companies.

Tyson Foods Inc. is increasing beef processing capacity after a year of steep cutbacks as it grappled with a historic domestic cattle shortage, according to Bloomberg.

Aave DAO passed an ARFC proposal on November 9 with 100% approval to support native Bitcoin as collateral for Aave V4 through Babylon’s Trustless Bitcoin Vaults. According to Foresight News, Babylon said BTC holders will be able to lock their native Bitcoin in self-custodial vaults and borrow assets such as USDT and USDC without wrapping tokens or using cross-chain transfers. The proposed collateral factor is 78%, with a 0% risk premium. Liquidity is expected to come mainly from Aave Core Hub, with an initial stablecoin credit limit of about $21 million that will increase over time. For each 12-month period after integration goes live, Aave DAO will retain the first $500,000 in revenue, with additional revenue shared with Babylon and a portion allocated to token buybacks. For annual revenue between $500,000 and $2 million, the proposed split is 78% for Aave, 18% for Babylon and 4% for the buyback fund. For revenue above $6 million, the split would be 61.5%, 31.5% and 7%, respectively. The buyback fund would allocate 85% to AAVE buybacks and 15% to BABY buybacks. The proposal will next move to the AIP stage. Mainnet launch is targeted for the end of 2026, with participation and scale initially limited and the rollout planned in phases.

According to Jin10, the S&P 500 opened 59.09 points higher, up 0.80%, at 7,436.01 on Monday, November 9; the Nasdaq Composite opened 192.68 points higher, up 0.78%, at 24,772.10; and the Dow Jones Industrial Average opened 541.39 points higher, up 1.06%, at 51,827.12.

According to Jin10, the Dow rose 1.3% at the open, while the S&P 500 and Nasdaq each gained 0.8%. Most major technology stocks advanced: Google (GOOG.O) rose 2.6% after launching two new TPUs to challenge Nvidia, AMD (AMD.O) gained 5.9%, Meta Platforms (META.O) climbed 3.9%, and Micron Technology (MU.O) rose 1.9%. Nvidia (NVDA.O) fell 8.4% amid controversy surrounding Jensen Huang, reaching its lowest level since March.

According to Jin10, the UK 10-year government bond yield fell 7 basis points to 5.08%, its lowest level since August 28.

AI算力紧缺的支撑来自少数无边界需求，但供给追赶、模型降价和新型云厂商的杠杆，可能在两到三年内让这一格局反转。

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虚拟币换汇涉刑早已不是新鲜事，本文梳理中国内地、香港特区与美国三地的刑事规制逻辑与典型案例。

维塔利克把ETH的价值论证从手续费销毁转向价值存储，但销毁并不构成估值地板，ETH与比特币的价值存储逻辑也不是一回事。

民主党重掌国会后，预测市场从高光时刻转为监管靶心，真正的变量仍在最高法院。

形象成为资产，形象出问题就是资产出问题。董事会要回答的不只是一个人的去留。

婚外情调查叠加“关键人物风险”，支撑AI行情的核心叙事正被重新定价。

从2018年的“加密宿醉”到今天的链上定价，英伟达与币圈这笔账算了九年还没算完。

真正让英伟达董事会启动调查的不是婚外情本身，而是芯片禁令执行中可能存在的越界；11月17日财报与18日国会听证是关键节点。

超大规模云厂商把新云当作表外产能载体：长期合约压低算力定价溢价，资本开支与执行风险被移出主体，但风险并没有消失，只是换了持有者。