MiniMax已经转动港交所的门把手。 12月22日，据中国证监会网站，证监会国际合作司发布关于MiniMax境外发行上市备案通知书，公司拟 发行约3357.72万股境外上市普通股并在香港联合交易所上市。 如果成功在港交所上市，那么MiniMax有望成为从成立到IPO历时最短的AI公司。 能否获得更长期、更规模化的资金支持，影响AI初创企业竞争周期。 A 对现阶段的AI初创企业来说，上市意味着下一阶段的开启。 巨头拥有充足的现金流，可以支持高投入的研发。尽管如此，近一年也可以频繁看到巨头做出更多资本 获取的选择。而初创公司则阶段性融资和商业化并行。光是在2025年，硅谷明星创企争相融资，消息一 个接着一个，围绕算力、模型和长期研发的资金争夺已经进入白热化阶段。 很多人认为上市是中国AI企业的"救命药"，MiniMax也不例外，但其实，只要看了招股书就会知道，在 此之前，MiniMax净亏损率收窄、毛利率逐步由负转正，已经跨过了临界点，走在了健康发展的阳关道 上。上市对于MiniMax来说，不是救命，而是向AGI 冲刺的加速器。 对AI行业，尤其是中国AI创企来说，终于有公司走到这一步，也是行业可为、可信的一次 ...

I see so much dabate about "when AGI?? It's never happening! Not with current LLMs!"Zoom out, in 3 years we've gone from a bad machine learning chat bot to a rough IQ of 140+ in every subject known to humanity...Don't midcurve it because you have a bias. It is already smarter than you, you just don't know how to talk to it.AGI? No one cares except the fact that once you announce it it announces that humans are replaced as apex intelligence. No once wants to do that.My definition of AGI (not that you care)? ...

图片来源：AXIOS Z Highlight Demis Hassabis是Google DeepMind的联合创始人兼CEO、Demis Hassabis博士。他是一位神经科学家、企业家，也是AI领域的先驱。Demis五岁时就是国际 象棋神童，48岁获得诺贝尔奖。本次是Axios AI+SF Summit上的访谈，发布于2025年12月5日，他与主持人探讨了他对于AI、AGI在当下以及未来的理解 与洞察。 科学家与诺奖得主：从科学方法到公共责任 Mike Allen：我是Axios的联合创始人Mike Allen，我代表我的联合创始人Roy Schwartz和Jim VandeHei，感谢在座各位。九年来，感谢你们一路支持 Axios，也感谢大家来到旧金山，在这座历史悠久、氛围极佳的银行建筑中，参加Axios AI+SF Summit。也欢迎世界各地的朋友们，一起见证今天的重磅 对话。Demis Hassabis，欢迎来到Axios。 Demis Hassabis：感谢邀请。我们一直很期待这次交流，很高兴能来到这里。 Mike Allen：就在400多天前，你得知自己获得诺贝尔奖。当时你说，"这太不真实了， ...

2025 年 12 月19日，《Big Technology Podcast》放出了一期罕见的一对一长访谈：Alex Kantrowitz 对话 OpenAI CEO Sam Altman。 这个时间点很微妙。外界刚经历一轮"竞品密集上新"，市场同时在追问 OpenAI 三个问题：你还怎么赢？ 钱从哪来、为什么要花到天文数字？以及 ChatGPT 这条产品线到底会长成什么样？ 更关键的是，Altman 在这期访谈里反复强调的并不是"模型分数"，而是一套更长期的胜负手：红色代码式 的组织应激、个性化与记忆带来的迁移成本、企业市场的加速、以及算力基建的账本逻辑。这些东西，比 任何一次 benchmark 更容易决定 OpenAI 接下来两三年的走向。 视频来源：https://www.youtube.com/watch?v=2P27Ef-LLuQ&t=19s 竞争白热化时，OpenAI 的第一反应是"进入红色代码" 访谈开场，主持人就把气氛拉到极致：竞品发布后 OpenAI 进入"红色代码"，是不是意味着"慌了"？ Altman 的回应反而像在讲一套内部流程：红色代码在 OpenAI 并非灾难状态，而是一种低风险 ...

Core Insights - Surge AI, founded by Edwin Chen, achieved over $1 billion in revenue within four years without external funding, employing fewer than 100 staff members, and has been profitable since inception [4][6][7] - The company focuses on high-quality AI data training, emphasizing the importance of data quality over quantity, and aims to create AI that benefits humanity rather than merely optimizing for engagement [6][11][12] Company Overview - Surge AI is a leading AI data company that supports model training for cutting-edge AI labs, achieving rapid growth and profitability without venture capital [4][6] - The company employs a unique approach by prioritizing product quality and customer alignment over traditional Silicon Valley practices of fundraising and marketing [9][10] Business Model and Strategy - Surge AI operates with a small, highly skilled team, believing that efficiency can be achieved without large organizations, which is facilitated by advancements in AI technology [7][8] - The company avoids typical Silicon Valley promotional tactics, relying instead on word-of-mouth and the intrinsic value of its products to attract clients [9][10] Data Quality and Evaluation - Surge AI defines data quality in a nuanced way, focusing on the emotional and intellectual resonance of outputs rather than just meeting superficial criteria [11][12] - The company employs a comprehensive signal system to assess the quality of data contributions, ensuring that only high-quality outputs are used for model training [13][14] AI Industry Trends - The conversation highlights a growing concern that many AI models are optimized for benchmark tests rather than real-world applications, leading to a disconnect between model performance and practical utility [18][19] - There is a belief that the future of AI will see a shift towards more diverse and specialized models, driven by the unique characteristics and goals of different research labs [42]

Amazon.com Inc (NASDAQ:AMZN) stock was last seen up 2.5% at $226.70, after a strong 2026 outlook from Truist Securities. The firm expects the Big Tech giant to grow 10.5% year over year, citing faster delivery capabilities and personalized offerings powered by generative AI. The e-commerce name also yesterday named Peter DeSantis as its lead for its new artificial general intelligence (AGI) division. On the charts, Amazon stock has chopped lower since its Nov. 3 record high of $258.60. The equity is still ...

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Core Insights - Rohit Prasad, the executive leading Amazon's AI model development, is leaving the company at the end of the year after two years of launching the Artificial General Intelligence group [1] - Prasad was instrumental in launching the Nova family of AI models, which, while efficient, still lag behind competitors like OpenAI's GPT, Anthropic's Claude Opus, and Google's Gemini [2] - Amazon is restructuring its AI initiatives, creating a new organization under Peter DeSantis to oversee AGI, AI models, silicon chip, and quantum computing efforts [2] - Pieter Abbeel, co-founder of Covariant, will now lead Amazon's frontier AI model research team following Prasad's departure [3] - The leadership changes at AWS include several recent departures and new hires, indicating a significant shift in the company's AI strategy [3][4]

Core Insights - Amazon is reportedly in discussions to invest approximately $10 billion in OpenAI, which could value the AI startup at over $500 billion [2][3] - OpenAI is preparing for an initial public offering (IPO) that could value the company at up to $1 trillion [3] - The investment discussions highlight OpenAI's ability to expand its partnership base after transitioning from its non-profit origins and finalizing its deal with Microsoft [4] Investment Details - The potential investment from Amazon may lead to a larger funding round involving other investors [2] - Amazon aims to utilize its Trainium chips, which compete with Nvidia and Google's offerings, in conjunction with OpenAI's technology [2] Strategic Partnerships - OpenAI is looking to sell an enterprise version of ChatGPT to Amazon, although it remains unclear if this includes integration into Amazon's shopping features [3] - The existing agreement with Microsoft grants exclusive intellectual property rights to OpenAI's technology until 2032, while allowing Microsoft to pursue artificial general intelligence (AGI) independently [5] Industry Trends - Companies are consolidating AI tools into unified platforms to support core workflows and manage operational complexities, marking a shift in enterprise AI adoption [6][7]

自 8 月 GPT-5 发布以来，Codex展现出惊人的爆发力，用户增长 20 倍，每周处理数万亿 tokens，成为 了 Open AI 最受欢迎的编程智能体。 "Codex 能快速实现 20倍的增长，不只是因为模型变强了，还因为我们理解了，真正的智能体不是一个 模型，而是模型、API 和框架共同努力的结果。"在最新播客中，OpenAI 的编程智能体 Codex 产品负 责人 Alexander Embiricos 揭露背后的秘密。 比如，Codex 在长时任务能力上的突破。为了让它能够连续工作十几个小时甚至数天，团队设计了名 为"压缩"的机制——模型负责提炼关键信息，API 承接任务链路，框架负责稳定运行。三层像齿轮般咬 合，使 Codex 能够完成传统大模型难以支撑的长时编程任务。 正是这样的底层逻辑，让 Codex 在业务实战中有惊人表现。 Andrej Karpathy 曾公开分享，他被一个 bug 困住数小时，最终交给 Codex 处理，一小时内就完成了修 复。 Sora 团队更是依靠 Codex，在短短 28 天时间，从 0 到 1 完成 Android 应用的上线，直接冲到 App Store ...