Group 1 - The competitive landscape in AI indicates that China may be closing the gap with the U.S., with advancements in physical AI models and video-based models, including Alibaba's new Quen model [1] - There are talented teams in China, such as the B dance team, contributing to the development of effective seed models [2] - The industry is facing significant constraints due to shortages in memory, GPUs, and electricity, which are impacting both deployment and research capabilities [3][4] Group 2 - The chip shortage is identified as a potential choke point for the AI industry, affecting the overall supply chain [4] - Companies with their own chip designs, like TPUs, have a competitive advantage, but reliance on a few key suppliers still poses risks [5]

Core Viewpoint - A federal grand jury indicted three Silicon Valley engineers for stealing trade secrets from Google and other tech companies, transferring sensitive data to Iran [1][2] Group 1: Indictment Details - The defendants are identified as Iranian nationals, with one being a U.S. citizen and another a legal permanent resident [2] - Charges include conspiracy to commit trade secret theft, theft and attempted theft of trade secrets, and obstruction of justice [2] Group 2: Exploitation of Positions - The defendants allegedly exploited their roles at leading tech firms to obtain hundreds of confidential files related to processor security and cryptography [3] Group 3: Employment Background - Samaneh and Soroor Ghandali worked at Google before moving to a third unnamed company, while Khosravi was employed at a separate firm developing system-on-chip (SoC) platforms [4] Group 4: SoC Technology - SoC integrates various components into a power-efficient package, with examples including Qualcomm's Snapdragon and Apple's A-series [5] Group 5: Company Response - Google detected the alleged theft through routine security monitoring and referred the case to law enforcement [5] - The company has implemented enhanced safeguards to protect confidential information, including restricted access to sensitive data and two-factor authentication [6]

智东西2月20日消息，今日凌晨，谷歌正式发布其新一代旗舰模型Gemini 3.1 Pro。根据谷歌放出的基准测试，谷歌最强复杂任务处理模型Gemini 3.1 Pro 在12项测试中超过Gemini 3 Pro、Claude Opus 4.6、Claude Sonnet 4.6、GPT-5.2等模型，拿下第一。 | Benchmark | | Gemini 3.1 Pro | Gemini 3 Pro | Sonnet 4.6 | Opus 4.6 | GPT-5.2 | GPT-5.3-Codex | | --- | --- | --- | --- | --- | --- | --- | --- | | | | Thinking (High) | Thinking (High) | Thinking (Max) | Thinking (Max) | Thinking (xhigh) | Thinking (xhigh) | | Humanity's Last Exam Academic reasoning | No tools Search (blocklist) | 44.4% | 37.5% | 33. ...

知名图片分享社区Flickr近日发布2025年用户最常用相机TOP10，佳能EOS R6 Mark II登顶榜首，2018年 发布的索尼α7III仍居第二。以下为完整榜单： 佳能 EOS R6 Mark II 索尼 α7 III 苹果 iPhone 16 Pro 尼康 Z 6II 三星 Galaxy S23 Ultra 谷歌 Pixel 8 Pro 富士 X-T5 奥林巴斯 E-M1 Mark II OM SYSTEM OM-1 松下 DC-G9 (11362450) ...

来源：环球网 作为专为复杂任务设计的智能模型，Gemini 3.1 Pro突破了简单答案输出的局限，将高级推理能力转化 为解决实际棘手难题的实用工具。升级后的模型能够为复杂课题提供清晰直观的可视化解释，实现多源 数据的整合统一，还能助力各类创意项目落地实施，其升级的智能水平可广泛赋能科研、开发、商业等 诸多实际应用场景。 在开放落地方面，Gemini 3.1 Pro已开启分批次推送。面向开发者，可通过Google AI Studio、Gemini CLI、智能体开发平台Google Antigravity以及Android Studio中的Gemini API开放预览版体验；面向企业 用户，该模型已登陆Vertex AI与Gemini Enterprise平台；面向普通用户，Gemini 3.1 Pro也已在Gemini应 用与NotebookLM中正式上线。 同时，谷歌还为订阅用户推出相应权益升级，Google AI Pro与Ultra订阅用户在Gemini应用中使用Gemini 3.1 Pro时，将获得更高的使用限额，NotebookLM也为这两类订阅用户独家开放该模型的全部能力，让 用户能够更充分地体验 ...

Core Viewpoint - Companies like Google, Apple, and xAI are actively working to protect their sensitive information from employees who are suspected of stealing it [1] Group 1 - Google is among the companies taking measures to defend against information theft by employees [1] - Apple has also implemented strategies to safeguard its sensitive data from potential internal threats [1] - xAI is included in the list of companies that are focusing on protecting their proprietary information from employees accused of misconduct [1]

鱼羊 梦瑶 发自 凹非寺 量子位 | 公众号 QbitAI 春节档国产大模型狂卷，谷歌也突然出手， Gemini 3.1 Pro 直接深夜放大招！ 相较于去年11月才刚刚发布的3 Pro，别看只是「.1」的一小步，升级幅度肉眼可见： 在官方给出的SVG对比展示中，3.1Pro在多模态生成和语义理解上都提升了一个level。 不仅如此，3.1 Pro还能将日常数据转为互动可视化内容，一个航空航天仪表盘也能轻松roll出： 玩起「模拟城市」来，也是地形生成、道路铺设、交通线路，一整套直接成型： 夯，是真夯，这不有网友们手搓体验完真·就只想说一句——其他家模型可以直接over了（doge） | Benchmark | | Gemini 3.1 Pro | Gemini 3 Pro | Sonnet 4.6 | Opus 4.6 | GPT-5.2 | GPT-5.3-Codex | | --- | --- | --- | --- | --- | --- | --- | --- | | | | Thinking (High) | Thinking (High) | Thinking (Max) | Thinking ...

Continue Reading Zillow is partnering with Google NotebookLM to make Zillow's home-buying guidance available in a featured notebook. NotebookLM is a personalized AI research and thinking tool designed to help users better connect with and understand complex information. Unlike general AI answers that can vary in accuracy, notebook users can ask questions and get responses grounded in Zillow's guidance, with direct citations to original articles on Zillow.com. "When navigating a milestone as significant as b ...

机器之心编辑部 上周，谷歌发布了 Gemini 3 Deep Think 的一次重大更新，以应对当今科学、研究和工程领域的复杂挑战。而就在刚刚，谷歌正式推出支撑这些突破的升级版核心 智能：Gemini 3.1 Pro。 谷歌表示，基于 Gemini 3 系列，3.1 Pro 在核心推理能力上实现了进一步跃升。针对复杂问题的求解，3.1 Pro 提供了一个更聪明、更强大的能力基准。这一点也体 现在团队的多项严格基准测试进展中。 在 ARC-AGI-2（一个评估模型解决全新逻辑模式能力的基准测试）上， 3.1 Pro 取得了经验证的 77.1% 成绩，其推理性能是 3 Pro 的两倍以上 。 | Benchmark | | Gemini 3.1 Pro | Gemini 3 Pro | Sonnet 4.6 | Opus 4.6 | GPT-5.2 | GPT-5.3-Codex | | --- | --- | --- | --- | --- | --- | --- | --- | | | | Thinking (High) | Thinking (High) | Thinking (Max) | Thinkin ...

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