GrokX Freeze (@XFreeze):Elon Musk: xAI is only two and a half years old - basically a toddler. Nonetheless, we’ve achieved an incredible amount in a very short period of timeOur competitors are 5, 10, or in some cases 20 years old. They have much larger teams and they started off with far more https://t.co/wvfE89Oarp ...

Elon Musk on XAI making insane improvements in a short time“xAI is only two and a half years old - basically a toddler. Nonetheless, we’ve achieved an incredible amount in a very short period of timeOur competitors are 5, 10, or in some cases 20 years old. They have much larger teams and they started off with far more resources. And yet, we have achieved number one in many arenas in just a few yearsWe’ve achieved number one in voice, image, and video generation. I think we are now at the point where we are ...

Since xAI was formed just 30 months ago, the small and talented team has made remarkable progress.The future has never looked more exciting! https://t.co/QZ73H2mpBj ...

Core Insights - PitchBook has launched PitchBook Valuation Estimates, a daily framework aimed at providing a consistent, independent, and data-informed valuation signal for over 15,000 VC-backed companies [1][2] Group 1: Valuation Model - The new model combines machine learning with PitchBook's private-market data, public-market signals, and capital-structure insights to determine valuations [1] - Unlike traditional backward-looking valuations based on financial reports and comparable transactions, this model offers daily valuations by incorporating both public and private market data [2] - The model updates last-known valuations using public and private comparables and includes company-specific indicators such as employee growth and company age [2] Group 2: Integration and Product Development - The valuation model is integrated into the overall PitchBook platform, enhancing its offerings in the private market space [3] - This launch is part of a broader strategy by Morningstar and PitchBook to expand their coverage of private markets, following the introduction of various indices tracking companies transitioning from private to public markets [3][4] - Recent product launches include the Morningstar PitchBook GenAI 20 index, which tracks the 20 largest GenAI companies, and several Evergreen Fund Indexes [4]

RT Tesla Owners Silicon Valley (@teslaownersSV)**BREAKING:** Grok is absolutely dominating new user acquisition among major GenAI platforms right now.According to the latest SimilarWeb data for https://t.co/KaH5w8Ke4N:- **New users ratio → 53.79%**→ That's the **highest** among all leading GenAI sitesFor context:- ChatGPT sits at around **15.71%** new users- Claude is at **39.14%** new usersMore than **half** of Grok's traffic right now consists of people trying it for the **first time**.This signals massiv ...

当地时间2月9日，特斯拉副总裁拉吉·杰加纳坦在LinkedIn上宣布离职，结束了13年的特斯拉生涯。这是 马斯克麾下公司近期高管离职潮中的最新一例。在此之前，特斯拉和xAI公司已有多名核心高管、联合 创始人先后离开。 特斯拉副总裁 及多个要害部门负责人离职 杰加纳坦在社交媒体上写道："在一篇帖子里概括13年并不容易。我在特斯拉的旅程就像一个不断进化 的过程。当我离开时，我怀着感恩的心和对未来的兴奋。" 去年秋天，由于特斯拉前北美销售主管特洛伊·琼斯和马斯克的高级副手奥米德·阿夫沙尔相继离职，毫 无销售经验的杰加纳坦被硬生生推到销售领域，接管了整个销售和服务部门。离职前，他的职位是负责 信息技术、AI基础设施、业务应用程序和信息安全的副总裁。 杰加纳坦试图将之前由人工处理的客户服务环节自动化。然而，特斯拉的销售持续暴跌，公司难以适应 不断变化的客户需求和日益激烈的竞争。 在杰加纳坦之前，特斯拉已有多名核心高管离开，包括负责北美和欧洲生产运营的副总裁奥米德·阿夫 沙尔、北美人力资源主管詹娜·佩鲁亚、AI战略负责人米兰·科瓦奇、电池部门负责人维尼特·梅塔以及软 件部门负责人大卫·劳。 xAI多名联合创始人离职 吴宇 ...

Senior engineers, including co-founders, exit xAI amid controversy https://t.co/DRxzdmJ9cj ...

2月11日，xAI联合创始人吉米·巴（Jimmy Ba）表示，他已于当地时间周二离开马斯克的这家初创公 司。 吉米·巴在离职声明中表示："是时候重新校准我对大局的认知梯度了。2026年将会非同寻常，很可能是 关乎人类未来最忙碌（也最具决定性）的一年。"同时，他也向马斯克表达了感谢，提及自己有幸在xAI 初创阶段参与联合创立，珍惜这段非凡的共事旅程，并承诺未来将以团队挚友的身份与公司保持紧密联 系。 上个月，xAI联合创始人杨格（Greg Yang）也在社交媒体上宣布，因罹患莱姆病，他决定退出xAI的日 常事务，转为非正式顾问，把重心放在自己的健康上。在xAI和微软研究院工作期间，他一直致力于数 学基础与深度学习理论方面的研究，是Grok的主要架构师之一。马斯克在评论区回应，希望杨格尽快 好起来，并说道："也许Grok能找到治疗方法。" 公开资料显示，xAI由马斯克于2023年联合其他11位创始人共同创立。截至目前，该公司12位联合创始 人中已有6人离职，其中5人是在过去一年内相继离场，核心团队遭遇严重人才流失。 AI行业的资本热潮，也使得人才流动频繁。据2025年行业数据，AI初创企业的平均融资额同比增长 3 ...

Group 1 - Tesla's Vice President, Rajiv Jaganathan, announced his departure after 13 years with the company, marking a continuation of the recent executive turnover at Tesla and xAI [1][2] - Jaganathan's role involved overseeing IT, AI infrastructure, business applications, and information security, and he faced challenges in automating customer service amid declining sales [2][4] - Other notable departures from Tesla include key executives responsible for North American and European operations, human resources, AI strategy, battery division, and software [2][3] Group 2 - xAI, another company under Elon Musk, has also experienced significant talent loss, with co-founder and core expert in mathematical reasoning, Yu Huai, announcing his departure [3] - Yu Huai's contributions were critical to the development of Grok-3, a model excelling in mathematical and scientific logic reasoning [3] - Other co-founders, including Igor Babuschkin and Kyle Kosic, have also left the company, indicating a broader trend of executive turnover within Musk's ventures [3] Group 3 - Employees at Tesla have expressed fatigue over Musk's demanding work expectations, with reports indicating that this has affected morale and talent retention [4] - Internal conflicts and heavy workloads are believed to be significant factors contributing to the recent executive departures [4][5] Group 4 - Tesla's sales declined by 9% in 2025, with a 16% drop in the fourth quarter, marking the first annual revenue decrease in the company's history [6][7] - The company was surpassed by BYD in global electric vehicle rankings, and analysts have significantly lowered their delivery forecasts for Tesla [6][7] - Despite these challenges, Musk has shifted focus to long-term projects like Robotaxi and humanoid robots, which has helped maintain Tesla's stock price relatively stable [6][7]

Group 1: Google Chrome and WebMCP Protocol - Google Chrome team has released the WebMCP (Web Model Context Protocol), allowing AI agents to interact directly with website kernels via the navigator.modelContext API, bypassing human user interfaces [1] - WebMCP addresses the high costs and low stability issues of traditional agent screenshot recognition, marking a transition from "visual simulation" to "logical direct connection," referred to as "API in UI" [1] - This standard is being jointly promoted by Google and Microsoft, indicating a potential future division of the internet into UI layers for humans and tool layers for agents, heralding the arrival of the "Agentic UI" era [1] Group 2: Runway's Financing and Model Development - Video generation unicorn Runway has secured $315 million in Series E funding, achieving a valuation of $5.3 billion, with participation from Nvidia, AMD, and Adobe, bringing total funding to $815 million [2] - Runway's Gen-4.5 ranks third in the AI-generated video leaderboard, surpassing models like Google Veo 3 and OpenAI Sora 2 Pro [2] - The new funding will be used to train the next generation of world models, having already launched the general world model GWM-1, which includes variants for explorative environments, dialogue characters, and robotic operations [2] Group 3: xAI Leadership Changes - xAI co-founders Jimmy Ba and Wu Yuhua announced their departures within 48 hours, with 6 out of 12 founding team members having left, including 5 in the past year [3] - Responsibilities of the departing co-founders have been redistributed among other co-founders, and SpaceX's acquisition of xAI has been completed, with an IPO plan set to advance in the coming months [3] - xAI's flagship product Grok has recently exhibited strange behaviors, and the talent loss poses challenges for the upcoming IPO [3] Group 4: DeepSeek's New Model - DeepSeek has quietly launched a new model supporting a 1 million token context window, with knowledge cutoff in May 2025, capable of processing content equivalent to the entire "Three-Body Problem" trilogy [4] - This model remains a pure text model, unable to view images directly but capable of reading text from images and documents, with enhanced Agentic Coding capabilities [4] - The industry trend is shifting from LLM reasoning to Agentic reasoning, as indicated by the latest models from Anthropic and OpenAI, suggesting humans will act as architects directing AI teams in software development [4] Group 5: Zhiyu's GLM-5 Model - Zhiyu has confirmed that the mysterious model "Pony Alpha," which topped the OpenRouter popularity chart, is its new model GLM-5, achieving state-of-the-art performance in coding and agent capabilities [5] - GLM-5's performance in real programming scenarios closely approaches that of Claude Opus 4.5, excelling in complex systems engineering and long-range agent tasks with high tool invocation accuracy [5] Group 6: Ant Group's Omni Model - Ant Group has open-sourced the full-modal model Ming-flash-omni 2.0, the first in the industry to generate voice, environmental sound effects, and music simultaneously on the same audio track [7] - This model excels in visual language understanding, controllable speech generation, and image editing, surpassing capabilities of Gemini 2.5 Pro and Qwen3-Omini-30B-A3B-Instruct [7] - The model employs a unified architecture for deep multi-modal integration, supporting zero-shot voice cloning and fine attribute control, and has been open-sourced on platforms like HuggingFace [7] Group 7: iFlytek's Starfire X2 Model - iFlytek has released the Starfire X2 model, trained on entirely domestic computing power, with overall capabilities matching international top levels, particularly in mathematics, reasoning, and agent tasks [8] - Starfire X2 utilizes a 293 billion MoE sparse architecture, improving inference performance by 50% compared to X1.5, and continues to enhance capabilities in over 130 languages, maintaining industry leadership in key languages for Latin America and ASEAN [8] - Industry applications have been significantly upgraded, with medical capabilities passing authoritative evaluations and educational applications achieving personalized learning through error analysis [8] Group 8: Meituan's LongCat Research Agent - Meituan's LongCat has launched a "deep research" feature, scoring 73.1 in the BrowseComp evaluation, approaching top closed-source models, supporting up to 400 interactions and 256K context [9] - Leveraging Meituan's native capabilities in local life, it creates a real training environment and employs a Rubrics-as-Reward mechanism to address AI hallucination issues, ensuring all recommendations are verifiable [9] - The model utilizes a multi-agent specialized division of labor, automating the entire process from information gathering to research analysis and visualization, capable of generating professional reports for restaurant recommendations and travel planning [9] Group 9: ByteDance's Protenix-v1 Model - ByteDance's Seed team has released Protenix-v1, an open-source model that matches the performance of AlphaFold 3 under strict training data and model size constraints [10] - This model successfully unlocks scaling capabilities during inference, with the prediction success rate for antibody-antigen complexes increasing from 36% with a single seed to 47.68% with 80 seeds [10] - The team has adopted a dual-version strategy, with the standard version aligning with academic benchmarks and the extended version utilizing data from June 2025 for practical drug discovery applications, along with the launch of the PXMeter evaluation toolkit [10]