Core Insights - The demand for Israeli technology innovation remains strong in 2023, highlighted by a significant increase in acquisitions and IPOs [1] Group 1: Acquisitions - Alphabet's acquisition of Israeli cybersecurity company Wiz for $32 billion marks a notable transaction in the tech sector [1] Group 2: IPOs - The surge in IPOs indicates a robust interest in Israeli tech companies, reflecting confidence in the sector's growth potential [1]

Company Developments - iRobot (IRBT) has filed for bankruptcy protection and will go private after being acquired by its primary manufacturer [3] - SpaceX (SPACE) is in the process of selecting investment banks for a potential IPO, targeting a valuation of up to $1.5 trillion [5] - SpaceX has initiated a secondary share sale valuing the company at $800 billion, with shares priced at $421 each [6] - Alphabet (GOOG) stands to gain significantly from its investment in SpaceX, with an expected accounting gain linked to its stake [7] Industry Insights - Concerns over China's property sector have resurfaced as Vanke's bondholders rejected its bond payment plan, increasing default risks [4] - The tech trade between the US and UK is at risk of collapse due to disagreements [8] - Developers have canceled nearly 2,000 power projects this year, indicating potential shifts in the energy sector [8]

Core Points - The company, formerly known as Margaret Lake Diamonds Inc., will change its name to Vault Strategic Mining Corp. and will trade under the new ticker symbol "KNOX" on the TSX Venture Exchange [1][2] - Trading under the new name and ticker symbol is expected to commence on or about December 17, 2025 [2] - Existing shareholders and warrantholders are not required to take any action regarding the name change, and their current certificates will remain valid [3] Company Information - The new CUSIP number for the common shares will be 92243U107, and the new ISIN number will be CA92243U1075 [2] - The announcement is made on behalf of the Board by R. Nick Horsley, who serves as President, Chief Executive Officer, and Chairman [4]

被誉为「黄金职业通行证」的人类知识堡垒，CFA考试悄然陷落。最新的推理模型不仅轻松通过了CFA三级考试，还创造了几乎满分的成绩。 AI一分钟，人类十年功！ 一觉醒来，AI推理模型已横扫特许金融分析师CFA考试。 | Model Producer | Ranking | Model | Level I | Level II | Level III | | --- | --- | --- | --- | --- | --- | | OpenAI | 9 | ChatGPT [11] | Fail/Fail | Fail/Fail | Fail | | | 8 | GPT-4 [2] | Pass/Pass | Pass/Pass | Fail | | | 7 | GPT-4o [7] | Pass/Pass | Pass/Pass | Pass | | | 3 | GPT-5 [10] | Pass | Pass | Pass | | Google | 2 | Gemini 2.5 Pro [5] | Pass | Pass | Pass | | | 1 | Gemini 3.0 Pro | Pass | Pas ...

S&P 500 futures were up 0.44%  this morning after the index lost 1.07% on Friday, a day after setting a new all-time high on Dec.11.The index is still up 16% year-to-date—an above-average performance for U.S. stocks. Analysts have long complained that the index is dominated by the “Magnificent 7” tech stocks. Between October 2022 and November 2025 roughly 75% of gains in the S&P 500 came from this handful of companies.But as we draw near to the close of the year, only two of those stocks—Alphabet and Nvidi ...

美股策略 2025 年 12 月 15 日 美股策略周报：纳指盈利大幅上修，圣诞行情可期 2025 年 12 月 15 日 刘宗武（HKSFC CE No.:BSJ488） 高级策略分析师 艾德证券期货研究部 联络电话：86 13760421136 电邮地址：liuzongwu@eddid.com.hk 重拾升势--20251201 月不会重现--20251013 钉钉，关注利率敏感型 ETF--20250908 大盘再创历史新高--20250818 7．美股策略周报--Q2 业绩强劲， 盈利驱动股票上涨--20250811 主要内容 请参阅正文后面的免责声明及重要披露 1 / 16 2．美股策略周报：流动性危机解 除，初现反攻势头 20251117 领先，科技板块是主线--20251103 作者 美联储经济预测：2025年美联储最后一次议息会议，相较9月会议， 7位联储理事及12位区域联储行长对25-26年GDP（上升）、通胀 （PCE\核心PCE下降）给出乐观预测，对25-26年失业率、基准利 率维持预测不变。 市场情绪：上周大盘指数振荡，市场情绪全周维持在"恐惧"区 间。恐惧与贪婪指数分项----波动率 ...

Core Insights - Google founder Sergey Brin reflected on the company's journey, acknowledging mistakes in the AI race and recognizing OpenAI's opportunity [1][4] - Brin emphasized the importance of not rushing to commercialize ideas without adequate preparation, using Google Glass as a cautionary example [25][27] Company History - Google was founded in 1998, evolving from a project called BackRub, which assessed webpage importance through links [11][12] - The name "Google" is derived from a mathematical term representing a 1 followed by 100 zeros, symbolizing the ambition to organize global information [14] AI Development - Google initially underestimated AI's potential after the release of the Transformer paper, leading to missed opportunities as OpenAI capitalized on the technology [20] - Despite setbacks, Google's long-term investment in AI research and development, including the creation of specialized TPU chips, has maintained its competitive edge [20] Future Technologies - Brin identified quantum computing and materials science as undervalued future technologies, suggesting a focus on their applications in AI [23] - He advised students to leverage AI in various aspects of life, while cautioning against pursuing fields where AI may excel, such as comparative literature [21][23] Entrepreneurial Advice - Brin warned young entrepreneurs against prematurely commercializing unrefined ideas, stressing the need for thorough preparation and cost management [25] - He shared insights from his return to Google, emphasizing the importance of staying engaged and continuously learning [27][29]

Core Insights - Wall Street analysts are focusing on the "Magnificent Seven" stocks, with projections indicating that one of these stocks could be the biggest winner in 2026 [2] Losers and Laggards - Tesla is projected to be the biggest loser in 2026, with less than half of the 47 analysts rating it as a "buy" or "strong buy," and an average 12-month price target 12% below its current share price [4][5] - Apple is also facing skepticism, with 29 out of 48 analysts recommending it as a "buy" or "strong buy," but the consensus price target shows minimal upside potential [6] - Alphabet's stock is rated positively by 56 out of 65 analysts, yet the average 12-month price target is only 5% above its current share price, indicating limited growth expectations [7] Wall Street's Winners - Despite some expected losers, analysts anticipate that several stocks within the "Magnificent Seven" will perform well in 2026 [8] - Amazon is projected to have a significant upside potential of approximately 28% over the next 12 months, with 64 out of 67 analysts rating it as a "buy" or "strong buy" [10]

机器之心报道 机器之心编辑部 随着通用型（Generalist）机器人策略的发展，机器人能够通过自然语言指令在多种环境中完成各类任务，但这也带来了显著的挑战。 一方面，真实世界评估成本极高，需要系统性地覆盖常规场景、极端情况、分布外（OOD）环境以及各类安全风险，通常需要进行成百上千次真实硬件实验，不 仅耗时、昂贵，还可能存在操作风险。 1）在闭环、动作条件生成中容易产生伪影； 2）对接触动力学（如物体接触、碰撞）的仿真十分困难； 3）现代策略架构对多视角一致性提出了较高要求，而这在视频生成中并不容易满足。 论文地址：https://arxiv.org/pdf/2512.10675 另一方面，安全性评估尤为棘手，许多潜在的不安全行为（例如误夹人手、损坏设备或引发环境危险）本身就不适合在真实环境中反复测试，使得传统的硬件评 估方法在安全场景下往往难以实施。 传统的物理仿真器虽然有帮助，但在真实感、多样性、搭建成本和视觉一致性方面仍存在明显瓶颈。 另外，前沿视频模型为世界仿真提供了一种替代路径，有望解决前文提到的诸多挑战。然而，要真正发挥这一潜力面临很多困难，主要原因包括： 项目主页：https://veo-ro ...

Core Insights - The article discusses Google's journey from its inception to its current challenges in the AI space, highlighting mistakes made and opportunities missed, particularly in relation to OpenAI's rise [1][2][5][26]. Group 1: Google's History and Development - Google was founded by Sergey Brin and Larry Page, initially focusing on a project called BackRub, which evolved into the Google search engine [10][16][19]. - The name "Google" reflects their ambition to organize vast amounts of information, derived from a mathematical term representing a large number [21]. - Google fostered a strong academic environment, attracting top talent and focusing on foundational research, which laid the groundwork for its future innovations in AI [22][25]. Group 2: AI Strategy and Mistakes - After the release of the Transformer model, Google underestimated the potential of AI and failed to allocate sufficient resources, allowing OpenAI to capitalize on the opportunity [26][29]. - Despite setbacks, Google's long-term investments in AI research and development, including the creation of specialized TPU chips, have helped maintain its technological edge [30][29]. Group 3: Future Directions and Recommendations - Sergey Brin emphasizes the importance of leveraging AI in various aspects of life and encourages students to pursue computer science, as coding skills remain crucial for developing better AI [32][35]. - He suggests that quantum computing and materials science are undervalued future technologies that could have significant impacts, particularly in conjunction with AI [37]. - Brin advises against prematurely commercializing ideas without adequate preparation, using the example of Google Glass to illustrate the importance of refining concepts before market introduction [42][45].