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Eskender Abebe announced his joining the early-stage crypto venture capital firm Archetype as Chief Product Officer. Archetype confirmed that he is the first Chief Product Officer of the firm. According to him, he will be responsible for building internal platforms and tools at Archetype, bringing a product perspective into the investment process, and working directly with early founders to help accelerate their progress. Eskender Abebe previously served as Chief Product Officer at Eliza Labs, the maintainer of the open-source AI framework elizaOS, and earlier held positions as the product lead for ENS and a senior technical product manager at Consensys.Eskender Abebe stated that he has been working at the intersection of crypto and AI for the past few years. He believes that crypto allows capital to be programmed, distributed, and coordinated without central institutions, while AI enables intelligence to be programmed, distributed, and coordinated without central institutions. He also mentioned that the experience in ownership, incentives, and open coordination in crypto will play a core role in the interactions and transactions of autonomous AI systems, and together they will change the upper limits of ideas that individuals and small teams can pursue.Regarding his responsibilities and reasons for joining, Eskender Abebe said that if the company structure changes, the supporting institutions should also adjust. He stated that excellent venture capital firms are always built on judgment, relationships, and beliefs, which do not change, but the products built around them can change, including tools, systems, and practical experiences used to support founders and allow them to focus on building. He also mentioned that he joined Archetype because he recognizes the team's judgment criteria and the depth of collaboration between the team and the founders and their ideas.

According to Modern Express, Capital Medical University recently reported a telecom fraud case where a freshman from the class of 2026 was scammed by someone impersonating public security and judicial personnel, resulting in a total transfer of nearly 1.8 million yuan. The police urgently intercepted 370,000 yuan, with an actual loss of over 1.42 million yuan.The scammer used methods such as forging police officer credentials, case documents, and threats of retaliation to demand that the student cut off contact with their family and school. They lured the student into withdrawing 200,000 yuan in cash, 450 grams of gold, and additionally purchasing 370,000 yuan in virtual currency, as well as transferring 710,000 yuan online. During this time, bank and police staff inquired and advised multiple times, but they were unable to stop the fraud in time.

AI cloud computing company Nebius announced its third-quarter financial report, with revenue increasing by 571% year-on-year to $981 million, exceeding market expectations by about 8%; adjusted EBITDA reached $466 million, also higher than the expected $357 million. However, the company expects its full-year revenue for 2026 to fall at the lower end of the guidance range of $3 billion to $3.4 billion, below the market expectation of about $3.37 billion.What draws more market attention is that Nebius expects capital expenditures in 2027 to reach $40 billion to $45 billion, while providing a revenue outlook of $12 billion to $13 billion, approximately four times that of 2026. The company stated that customer prepayments and investment-grade contract asset-backed financing are expected to cover 75% to 85% of next year's capital expenditures, with the scale of prepayments expected to increase from about $10 billion this year to $17 billion to $20 billion.The company's CEO stated that since the third quarter, the total value of newly signed contracts has exceeded $12 billion, with Databricks, Datadog, Palantir, and Snowflake all signing multi-year agreements with the company for the first time. Despite significantly exceeding expectations, the full-year revenue guidance fell short of expectations, and the capital expenditure plan of up to $45 billion next year has raised market concerns about AI infrastructure expansion and financing pressures.

According to Brazilian media Portal do Bitcoin, Ailton de Aquino Santos, the Director of Regulation at the Central Bank of Brazil, stated that about 30% of the applications for licenses from cryptocurrency service providers have issues with registered capital not meeting regulatory requirements, and many applying institutions have not submitted audited financial statements.The Central Bank of Brazil previously announced 120 cryptocurrency license applications, of which 119 are still under review, and 1 has been rejected. According to the new regulations, the minimum capital requirement for cryptocurrency trading and intermediary service providers can reach 37.2 million reais (approximately 7 million USD). Currently, the regulatory authority has not disclosed the list of non-compliant companies, and the 30% non-compliance ratio does not mean that the same proportion of applications will ultimately be rejected.

According to Crypto Briefing, Dubai-based Cequire Capital announced plans to invest $100 million in early-stage Web3 companies and liquid digital assets, using its own funds to support projects in five areas of blockchain infrastructure and fintech.This three-year funding will cover stablecoins and stable chains, AI and autonomous agent payments, tokenized real-world assets, privacy technology, and post-quantum security. Cequire plans to allocate 60% of the funds to venture capital, 30% to liquid assets, and 10% to co-investments, leading or co-leading seed and pre-seed rounds with investments ranging from $500,000 to $2 million. The company stated that the first $50 million is ready to be deployed, with deployment expected to be completed by the end of the next quarter.

SpaceXSI announced that Grok Voice 3 has launched a voice-to-voice API, priced at $0.08 per minute.

According to Forbes, data infrastructure company Edelbyte has completed a $45 million Series A funding round, reaching a valuation of $500 million, led by Quiet Capital, with all existing investors participating. New investors include QP Ventures, Startpoint Capital, and Cerca Partners.The company had previously completed a $25 million seed round led by Sequoia, with Greenoaks and Swish Ventures participating, bringing total funding to $70 million. Edelbyte was founded in November 2025 by four former Microsoft engineers to provide a data platform for increasingly complex query workloads in the AI era.Co-founder and CEO Avner Aharoni, CTO Evgeney Ryzhyk, VP of Engineering Alexander Sloutsky, and VP of Platform Engineering Yoni Leibowitz all worked at Microsoft for about 20 years and have over a decade of experience working together.Among them, Ryzhyk and Sloutsky were part of the founding team of Microsoft's internal data platform Kusto, which later became the foundation for products like Azure Data Explorer. Edelbyte's platform integrates traditional analytics, text search, spatial queries, and AI workloads on the same infrastructure and can be deployed in public cloud, private cloud, and on-premises environments.

According to Fortune, AI sales startup Rox has completed a $100 million Series B funding round, with a valuation of $1.3 billion. This round was co-led by General Catalyst and March Capital, with Sequoia and GV continuing to invest, and Prosperity7 joining as a new investor.Rox stated that its AI agent can research customer accounts, recommend priority follow-up targets, and prepare customer outreach efforts.Rox co-founder Ishan Mukherjee said the new funds will be used for more AI research and product development, and the company plans to expand its sales, marketing, and business teams in the U.S. fivefold next year.

On November 11, B.AI announced that the API management page has completed a comprehensive experience upgrade, optimizing the model selection and API access process to help developers more efficiently find computing resources that fit their business needs.The new version of the page adds anchor navigation, allowing direct access to core modules with one click; it supports multi-dimensional filtering by brand and discount, quickly locating the required models; model versions and billing information are more transparent, and it integrates a "model ranking" quick reference for developers to compare selections. Welcome to visit chat.b.ai/chat to experience the new API page.

According to on-chain analyst Yu Jin's monitoring, as the price of ZEC has significantly dropped and fallen below 1000 USD, Abraxas Capital holds ZEC short positions at two addresses on Hyperliquid—Abraxas Capital related address (0xb83...6e36) and Abraxas Capital related address (0x5b5...8c060)—with an unrealized profit of 34.98 million USD from ZEC positions alone.The total unrealized profit of the two addresses with open positions is 118 million USD.

John Higgins, an analyst at Capital Economics, stated that following the release of higher-than-expected inflation data, U.S. Treasury yields may face further pressure in the short term. The 2-year U.S. Treasury yield has risen more than the 10-year yield, reflecting an increased market expectation that the Federal Reserve's policy will become more tightening.Capital Economics expects that if the recent stock market rebound cannot be sustained, the trend in yields may reverse.

According to DefiLlama data, Bitget ranks second among centralized exchanges (CEX) for net capital inflows in the past 24 hours, 7 days, and 30 days. Specifically, the inflow in the last 24 hours was approximately $116 million, about $166 million in the last 7 days, and around $699 million in the last 30 days.The capital inflow may be driven by the platform's high-yield financial activities. It is reported that Bitget recently launched the "Financial Carnival Season," where users can complete net recharge of specified cryptocurrencies and subscribe to corresponding flexible products, with USDT enjoying a maximum of 10% APR, ETH and XAUT a maximum of 5% APR, and BTC a maximum of 3% APR.

The cryptocurrency venture capital firm Multicoin Capital's co-head of venture capital, Spencer Applebaum, pointed out that AI has greatly lowered the threshold for protocol development, leading to rapid homogenization of pure software, while the core barriers of financial services remain outside of code.Applebaum believes that the relevant barriers mainly include three aspects: first, distribution channels centered around sticky customer relationships and order flow; second, balance sheets and capital scales that AI cannot create out of thin air, such as cross-currency prime brokers with risk resistance capabilities, and reserves backed by the protocol; third, proprietary data underwriting involving offline proprietary data and non-public risk control, such as OnRe reinsurance or GPU collateralized loans.He also stated that underlying general L1 and L2 are losing their native distribution and capital monopoly advantages. The key for startup teams to break through lies in entering high-risk tolerance markets that traditional giants are unwilling to touch due to compliance or reputation concerns, and gradually building the aforementioned barriers.

On Tuesday, Google announced that its cutting-edge artificial intelligence model, Gemini 4 Carbon, is now open to paid developers and enterprise customers. Google stated that the model is capable of handling complex programming, cybersecurity, and scientific research tasks that involve multiple steps. Gemini 4 Carbon was released on October 28, having previously been available to select cybersecurity defense agencies through the Fairwind program. Following this opening, paid developers can use the model via the Gemini API in Google AI Studio, while enterprise customers can access it through Gemini for business. Google AI Ultra subscribers will also gradually gain access to the Gemini application, Google Search AI mode, and Antigravity.In early tests, OpenCode software engineer Kit Langton reported that the team submitted a list of requirements to Carbon before the end of the workday, requesting solutions for consistency issues between the application interface and the existing UI framework. After running overnight, Carbon built a Rust UI library from scratch, rewrote the OpenCode desktop application, and provided a runnable demo version. The Wiz team under Google stated that while using Carbon for cyber to scan two large software service providers, the model identified zero-day vulnerabilities within two hours and subsequently collaborated with the affected agencies to complete the fixes. Google did not disclose the names of these service providers or the details of the vulnerabilities. Researchers also combined Carbon with other models, using the AlphaProof Code intelligent agent framework to complete the formal verification of the security properties of the underlying code of the Signal encryption protocol within weeks.In terms of pricing, Google set the initial experience price for Carbon's API at $2 per million input tokens and $10 per million output tokens, the same as Gemini 4 Argon. This offer lasts until November 30, after which the price will double, adjusting to $4 per million input tokens and $20 per million output tokens, applicable to the publicly available Carbon model. Google stated that Carbon ranked first in three benchmark tests: CursorBench 4.0, Perplexity WANDR, and Zapier AutomationBench, with the cost of single-task performance being less than half that of the next best external models. Google also mentioned that the model intercepted 99% of attack paths in a simulated cyberattack test, and achieved a 0% success rate in another prompt injection test.

According to PR Newswire, Marble, an institutional multi-asset trading and computing credit company founded by former BitGo and Galaxy Digital executives Matt Ballensweig and Leon Marshall, has announced its launch and completed a $11 million seed round financing, led by Polychain Capital, with participation from institutions such as Maven 11, Ripple, Susquehanna Crypto, Lattice, Blockwall, and several angel investors in the AI field.Marble operates through two business lines. Marble Compute focuses on building private credit channels for AI infrastructure, connecting institutional lenders with neoclouds and GPU operators; Marble Markets builds an institutional trading platform covering digital assets, real-world assets, prediction markets, and computing power.The two founders serve as co-CEOs: Ballensweig was the global trading head at BitGo, and Marshall was the CEO of Galaxy Digital's European operations.

DeFiLlama data from November 10 shows that Huobi HTX had a net capital inflow of over 436 million USD in the past 24 hours, ranking first among mainstream centralized exchanges worldwide.It is reported that Huobi HTX launched 20 stock tokens and ETF-related assets including SNDK, SOXL, SPCX, CRCL, MSTR, SKHY, MU, TSLA, NVDA, etc. on November 9, and initiated a series of welfare activities such as zero transaction fees for limit orders.

According to the Binance Research November 2026 market monthly report summary, the total market capitalization of the cryptocurrency market fell by 9.1% in October to $2.70 trillion. The report links the market correction to inflationary pressures, expectations of interest rate hikes by the Federal Reserve, and declines in technology stocks. During the same period, the net outflow from the US spot BTC ETF was approximately $516 million, while the net outflow from the ETH ETF was about $1.6 billion.The report also mentions that the five major AI investment companies had a total capital expenditure of $230 billion in the third quarter, which is 2.2 times their operating cash flow, with a total free cash flow turning negative to about -$32 billion. Demand for AI inference continues to grow, but the revenue scale of related cryptocurrency inference service providers remains small. In addition, the tokenized stock product bStocks reached $1 billion in assets under management within 125 days of its launch, with an on-chain utilization rate of 18.54%, higher than the industry average of 13.91%.

On November 10, it was reported that Rapidus, a chip manufacturer supported by the Japanese government, has fallen behind its original schedule and may not be able to achieve mass production of advanced chips by March 2028 as planned. The company has not yet successfully manufactured a functioning static random-access memory (SRAM) cell, which is a key step in producing 2-nanometer chips, originally scheduled for completion this summer, and is currently at least several months behind.The report stated that if there are significant delays in technological progress, it may affect the Japanese government's support for Rapidus and delay its plans to go public in 2032. A spokesperson for Rapidus stated that the company is still working hard to achieve its goal of starting mass production in the second half of fiscal year 2027, and the details of technological research and development are confidential.

According to Jinshi reports, Moon Pursuit Capital founder and managing partner Utkarsh Ahuja stated that persistently high inflation may limit the Federal Reserve's ability to provide monetary policy support, even as technology stocks weaken. He pointed out that recent comments from San Francisco Fed President Mary Daly regarding the possibility of further interest rate hikes in the future remind investors not to take for granted that the Federal Reserve will step in to support the market soon.Ahuja mentioned that for capital-intensive AI projects, even if market demand meets expectations, higher financing costs and longer approval cycles may reduce project returns. He also added that for companies with existing projects that have not yet generated cash flow but need to raise new funds, they face not only project execution risks but also uncertainties regarding future financing conditions.

According to The Block, Capital B purchased 12 BTC for 840,000 euros (approximately 943,000 dollars), increasing its total Bitcoin holdings to 3,550 coins. The company reported a BTC return of 2.23% year-to-date, with BTC earnings of approximately 4.2 million euros (about 4.7 million dollars) during this period.