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コンピューティング能力の不足は、一部の際限のない需要によって支えられているが、供給の追いつき、モデルの価格低下、そして新規クラウドベンダーの台頭により、2～3年以内にこの状況は逆転する可能性がある。

Jinse Financeは、AI、DeFi、DAO、NFT、メタバースに関する最新かつ最速のニュースを提供する「Jinse Web3.0 Daily」を開始しました。

仮想通貨取引に関連する刑事告発は、決して目新しいものではない。本稿では、中国本土、香港、米国における刑事法規と典型的な事例について考察する。

ヴィタリックはETHの価値に関する議論を、取引手数料の焼却から価値の保存へと転換したが、焼却は評価額の下限を構成するものではなく、ETHとビットコインの価値保存のロジックは同じではない。

民主党が議会の支配権を取り戻したことで、予測市場は全盛期から規制当局の動向を対象とする市場へと移行したが、真の変動要因は依然として最高裁判所である。

イメージは資産となる。イメージに問題が生じれば、その資産にも問題が生じる。取締役会は、単に一人の人物が留任すべきか退任すべきかという問題だけでなく、それ以上のことを判断しなければならない。

不倫調査と「重要人物リスク」の組み合わせは、AI市場を支える中核的な物語を再評価している。

2018年の「仮想通貨ブームの余波」から今日のオンチェーン価格設定に至るまで、Nvidiaは9年間、仮想通貨の世界における自社の評価を算出し続けてきたが、それはまだ終わっていない。

Nvidiaの取締役会が調査を開始するに至った真のきっかけは、不倫そのものではなく、半導体製造禁止措置の実施における行き過ぎの可能性だった。11月17日の決算報告と11月18日の議会公聴会が重要な局面となった。

ハイパースケールクラウドベンダーは、新しいクラウドをオフバランスシートの容量キャリアとして扱います。長期契約によってコンピューティング能力の価格プレミアムが下がり、設備投資や実行リスクが本体から取り除かれますが、リスクがなくなるわけではなく、単にリスクの保有者が変わるだけです。