AI日報 11月14日 1️⃣ Google 推出 SIMA 2 通用智能體 SIMA 2 能在多種 3D 虛擬世界中依自然語言完成任務，具備感知、推理、規劃、陪玩協作能力，由人類示範 + Gemini 標註共同訓練，能理解高層目標並自我調整。 https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/ 2️⃣ OpenAI 發布 GPT-5.1 API 新增自適應推理、24 小時提示快取、apply_patch / shell 工具，大幅提升複雜任務與程式編輯效率。 https://openai.com/index/gpt-5-1-for-developers/ https://cookbook.openai.com/examples/gpt-5/gpt-5.1_prompting_guide 3️⃣ Google NotebookLM 上線 Deep Research 具有自動化線上查找、整合資料、產生研究報告能力，並新增聊天記錄與自訂化 Video Overviews。 https://notebooklm.google/ 4️⃣ Codex 0.58.0 版本發布 全面支援 GPT-5.1 系列，加入 apply_patch / shell 工具，並強化伺服器與整體使用體驗。 https://github.com/openai/codex/releases/tag/rust-v0.58.0 5️⃣ ChatGPT 開放群聊功能 OpenAI 自 2025/11/13 起在日本、台灣、韓國、紐西蘭推出群組聊天功能（1–20 人），支援 App 與網頁，群組聊天與私人對話記憶分離，可透過分享連結邀請人加入。 https://openai.com/index/group-chats-in-chatgpt/ 資料來源 https://mp.weixin.qq.com/s/vPPps11CAmOl4RWDh_6rHQ #轉AI觀察的日記社群

📚 Google NotebookLM × Gemini：研究報告功能再升級！ Google NotebookLM 正式整合 Gemini 的 Deep Research 模式，從筆記工具進化為研究、學習與資料分析的多功能助手。 🔎 Fast Research 主打「速度優先」，每次擷取 10 份文件，快速生成即時摘要與短篇整理，適合新聞、資料查詢與快速回應需求。 📘 Deep Research 主打「深度分析」，系統可同時讀取 10–25 份文件，生成分段比較的研究級報告。 研究報告內容分為兩種： 引用來源版本：含完整參考文獻與引用出處。 未引用來源版本：包含「相關但未被直接引用」的資料摘要，用於補充背景與脈絡分析。 💡 亮點 文獻搜尋能力大幅提升 資料彙整與引用更清晰 「來源模式」可自由切換，支援學術研究、政策分析與知識學習應用 👉 NotebookLM 正逐步成為整合 Gemini 的全方位研究助手。

Aircraft Central Processing Unit (CPU) Market 2027: Size, Growth Drivers & Competitive Landscape Future Global Aircraft Central Processing Unit (CPU) Market: Key Dynamics, Size & Share Analysis The Global Aircraft Central Processing Unit (CPU) Market is projected to grow at a CAGR of around 4.46% during the forecast period, i.e., 2022-27. Top Trends Impacting the Global Aircraft Central Processing Unit (CPU) Market Growth Rising Population & High Traffic is Propelling the Demand for Air Taxis - With the growing global population, traffic congestion is on the rise in urban areas. In turn, this has increased the demand for technically advanced transportation systems such as air taxis, manufactured by various aircraft manufacturers, like Lilium, Airbus, Kitty Hawk, etc. Hence, to handle the vast amount of data collected by air taxis, the manufacturing companies will require highly efficient CPUs with better memory & power usage, and improved software & hardware. Furthermore, to reduce the pollution caused by air taxis, various companies are collaborating extensively with governments of several countries across the globe for developing electrical air taxis & their infrastructures. In 2021, Air Taxi India launched India's first air taxi service from Chandigarh Airport. The demand for air taxis is expected to increase in India in the coming years due to its vast population and the objective of providing faster travel & connectivity. In the year 2020, Volocopter, a German-based aircraft manufacturer, conducted the first crewed test flight of an Electronic Vertical Takeoff and Landing (eVTOL) air taxi in Seoul, South Korea. Besides, the increasing demand for convenient, faster, and more comfortable transportation is propelling the demand for air taxis, which, in turn, would accelerate the need for higher-performing CPUs to control the technically advanced electric air taxis. ✅In case you missed it, we are currently revising our reports. Click on the below to get the latest research data with forecast for years 2026 to 2032, including market size, industry trends, and competitive analysis. It wouldn’t take long for the team to deliver the most recent version of the report. Unlock exclusive insights into the Aircraft Central Processing Unit (CPU)– request your free sample PDF now and explore key trends, growth drivers, and competitive strategies shaping the industry- https://www.marknteladvisors.com/query/request-sample/aircraft-central-processing-unit-cpu-market.html Understanding the Core Segments in the Aircraft Central Processing Unit (CPU) Market Aircraft Central Processing Unit (CPU) Market Size, Share & Industry Trends Analysis - By Type (Single Core, Dual Core, Multi-Core), By Aircraft Type (Commercial Aircraft, Passenger Aircrafts, Cargo Jets, Helicopters), Military Aircraft (Fighter Jets, Cargo Jets, Helicopters, Drones & Others) and Others Geographical Analysis of the Aircraft Central Processing Unit (CPU) Market -By Region North America South America Europe The Middle East & Africa Asia-Pacific Geographically, North America grabbed the largest market share in the Global Aircraft CPU Market in 2021, with the high demand for military aircraft coupled with the existence of many leading commercial & military aviation manufacturers, such as Boeing, Bombardier, Lockheed Martin, Northrop Grumman, etc. Who Dominates the Aircraft Central Processing Unit (CPU) Market Insights on Key Industry Players? Companies are strengthening their presence in the Aircraft Central Processing Unit (CPU) market by adopting strategies such as forming strategic alliances, leveraging AI, entering partnerships, pursuing mergers and acquisitions, expanding into new regions, and introducing innovative products and services Pythium Technology Co., Ltd. NXP Semiconductors N.V. L3harris Technologies, Inc. ARM Ltd. Intel Corporation Qualcomm Inc. Advanced Micro Devices, Inc. Tap into future trends and opportunities shaping the Aircraft Central Processing Unit (CPU) view the complete report: https://www.marknteladvisors.com/research-library/aircraft-central-processing-unit-cpu-market.html Why Choose This MarkNtel Advisors Research Report Comprehensive Insights – Offers a 360° view of the market, combining qualitative and quantitative analysis for a deep understanding of trends, drivers, challenges, and opportunities. Reliable Data Sources – Data is gathered through verified primary and secondary sources, ensuring accuracy and credibility. Actionable Forecasts – Advanced predictive modeling and time-series analysis provide practical insights to guide strategic decisions and business planning. Expert Analysis – Insights from industry experts help interpret complex market dynamics, delivering clarity beyond the numbers. Customized & Strategic Reporting – The report includes detailed charts, graphs, and strategic recommendations tailored to support business growth and investment decisions. Trusted Methodology – Built on rigorous research principles, including precise sampling, data validation, and forecasting techniques, reflecting the trust businesses place in MarkNtel Advisors. "This report equips decision-makers with actionable intelligence, enabling them to navigate market complexities with confidence and foresight." Gain exclusive access to our comprehensive insights on the Future of Aircraft Central Processing Unit (CPU) Market. With tailored licensing options, including Mini Report Pack, Excel Data Pack, Single User, Multiuser, and Enterprise Packs, our research empowers organizations to navigate dynamic market trends effectively. Select a License That Matches Your Business Requirements with Instant Offer - https://www.marknteladvisors.com/pricing/aircraft-central-processing-unit-cpu-market.html About us: MarkNtel Advisors is a trusted market research and consulting firm with deep expertise in the aerospace and defense industry, covering space exploration, aircraft equipment, armed vehicles, avionics, and security & surveillance technologies. With a global presence across 80+ markets, we empower OEMs, defense contractors, and policymakers with actionable insights on modernization programs and technological innovation. Through our Consulting Services, we translate data into strategies that strengthen competitiveness, ensure operational readiness, and support informed decision-making within rapidly evolving global defense ecosystems. 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最近一篇新刊出的working paper指出，現階段主要AI模型都還看不懂時鐘。這篇報告準備了180個不同的時鐘，有些有缺一些資料，然後分別叫5位鄉民以及各種AI模型不限回答時間的回答出時鐘上的準確時間。 　 調查結果顯示，人類平均可以答對90%的時鐘準確時間，但是AI模型表現最佳的只有Gemini 2.5 Pro的13%。因此這篇文章認為至少讀時間這件事人類表現還遠好於人工智慧。 --- 人類的能力還是不輸給機器人的

“Notebook LM” 是 Google 推出的一款人工智慧輔助筆記工具，它是基於大語言模型（像是 Gemini 系列）打造的個人化學習與研究助理。這個工具的核心理念是幫助用戶更有效率地從自己的資料（如筆記、文件）中獲取資訊、理解內容，並生成摘要、問答或寫作輔助。 ⸻ ✅ 主要功能： 1. 文件導向學習（Source-grounded AI） Notebook LM 不會胡亂生成內容，而是根據你上傳或輸入的文件（例如 Google Docs、PDF、簡報等）來回答問題或生成摘要，確保準確性與一致性。 2. 自動摘要與知識整合 它可以幫你快速讀懂一份長文件，例如整理章節重點、提出研究問題、甚至撰寫學習筆記。 3. 上下文對話問答 你可以像聊天一樣問它：“這份文件的核心論點是什麼？” 或 “幫我用這份研究的數據寫一段結論”，它會根據你提供的資料來生成回覆。 4. 筆記整理與創建 它支援將整理出的內容儲存成新的筆記，建立自己的知識庫。 5. 多來源整合 使用者可以把多個文件組成一個 Notebook，AI 就能在這些資料之間建立連結、比對內容，進行跨文件分析。 ⸻ 🎯 使用情境： • 學生：快速整理上課筆記、閱讀資料、寫作業或準備報告。 • 研究者：分析文獻、產生摘要與問題導向討論。 • 專業人士：彙整項目資料、準備簡報、快速做決策支持。 ⸻ 🚀 最新發展（截至 2024 年）： • Notebook LM 已整合 Gemini 1.5 模型，具備更長上下文處理能力（可處理長達數十萬字的資料）。 • 支援更多格式的文件匯入（PDF、Google Docs、Slides 等）。 • 可以自動生成大綱、整理重點、甚至協助內容創作。 ⸻ 📝 小結： Notebook LM =「你的文件 + AI」的智慧筆記研究助手。 它不像 ChatGPT 是通用型聊天機器人，而是更專注於根據你自己的資料來幫你學習、理解、創作。 #Notebook LM #人工智慧 #MGBOX