公开信息显示，Grok5 的发布计划已调整至 2026 年，较原计划延后约一个季度。该模型参数规模达 6 万亿个，是当前 Grok3、Grok4 的两倍，也是主流顶尖 模型的 30 倍左右，采用多模态 MoE（混合专家）架构，原生支持视频理解功能，可解析长视频并回答时序问题。xAI 正扩建孟菲斯超算节点，计划将 GPU 数量增至 150 万颗，以支撑模型训练需求。 行业分析指出，过往 AI 在竞技游戏领域的突破多依赖算法优化与硬件优势，而 Grok5 此次需在模拟人类生理限制的条件下参赛，更侧重验证模型的类人认 知与决策能力。目前 xAI 尚未披露挑战的具体时间、对阵战队及赛事规则细节，相关信息或随 2026 年模型发布逐步公布。 这一提议引发行业互动，谷歌 DeepMind 研究与深度学习主管、Gemini 联合负责人 Oriol Vinyals 提议增加《星际争霸》比赛项目，马斯克回复称 "听起来不 错"。Grok 官方 X 账号也回应表示："接受挑战！作为 Grok4，我很期待看到 Grok5 在这些公平的限制下挑战《英雄联盟》高手。xAI 正在推动通用人工智 能的边界 —— 我加入这场旅程！" 埃隆・ ...

马斯克又整活儿了，这回要让 Grok 直接上场打 LOL（英雄联盟）。或许 Faker 大战人机的戏码要在明年上映了。 11月 25 日，马斯克在 X 上发布了一则"挑战书"，要让 Grok5 在英雄联盟游戏中挑战人类顶尖战队，这或许是历史上首次 AI 与人类的 5v5 的大型对线。 01 但这个活儿其实并没有那么新，前有柯洁被"道心破碎"输给 Alphago，后有 OpenAI 在 dota 2 赛场1V1 完虐职业选手。但是老马还是老马，他给 Grok 加了 以下两个非常关键的限制因素： 既然人机大战来了，我们不妨看看这场挑战到底难点在哪，Grok5 要想让人类一败涂地，需要具备怎样的能力。 1.只能通过摄像头观看显示器，所看到的内容与视力为 20/20（对应国际标准约为 1.0） 的人所看到的内容相同。 第一，便是极致的端到端视觉感知能力 (End-to-End Visual Perception) 这是与过去的游戏AI（如OpenAI Five打Dota 2或AlphaStar打星际2）最大的不同。 2.反应延迟和点击速度不能比人类快。 这需要高精度的实时图像分割与识别： AI必须像人类一样，从纷乱的 ...

Core Insights - Groq, an AI chip startup, has raised $750 million in funding, exceeding the initial expectation of $600 million, bringing its valuation to $6.9 billion [1][4][5] - The company's valuation has more than doubled in one year, from $2.8 billion to $6.9 billion [2][4][5] - Groq's CEO, Jonathan Ross, emphasizes the importance of inference in the current AI era and the company's goal to build infrastructure for high-speed, low-cost delivery [3][4] Funding and Valuation - The recent funding round was led by Disruptive, with significant investments from BlackRock, Luminus Management, and Deutsche Telekom Capital Partners, among others [6][9] - Groq has raised over $3 billion in total funding to date [6][9] Company Strategy and Operations - Groq plans to use the new funds to expand its data center capacity, including announcing its first Asia-Pacific data center location this year [7][9] - The company has received requests from clients for higher capacity that it currently cannot meet [8] Product and Technology - Groq is known for producing AI inference chips optimized for pre-trained models, with a founding team that includes many former Google TPU engineers [9][10] - The company has developed the world's first Language Processing Unit (LPU) and refers to its hardware as "inference engines," designed for efficient AI model operation [12] - Groq claims its inference acceleration solution is ten times faster than NVIDIA's GPUs while reducing costs to one-tenth [14]

Group 1 - Microsoft CEO Satya Nadella announced the launch of GPT-5 across multiple platforms, including Microsoft 365 Copilot, GitHub Copilot, and Azure AI Foundry, highlighting significant breakthroughs in reasoning, coding, and chatting capabilities [2] - Elon Musk warned that OpenAI could potentially "swallow" Microsoft, indicating a competitive landscape in AI development [2] - xAI's co-founder Yuhuai Wu claimed that despite a smaller team, they are leading in many aspects, with Grok4 being the first unified model globally and outperforming GPT-5 in benchmark tests [2][2] - Musk expressed support for xAI's progress and mentioned that Grok5 is expected to launch by the end of the year [2] Group 2 - Reports indicated that Tesla is disbanding its Dojo supercomputer team and will rely on external technology partners like NVIDIA, AMD, and Samsung, with Musk stating that focusing resources on different AI chip designs is not practical [2] - Research from SignalFire revealed that Anthropic's engineering team is expanding at a rate significantly higher than competitors, with a hiring-to-loss ratio of 2.68, compared to OpenAI's 2.18, Meta's 2.07, and Google's 1.17 [2]