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AI大模型之争最后拼的是成本,谁更有钱,谁成本能做到最低,谁就赢。 赢家就这么几个: DeepSeek:有钱、沉默猛攻AGI中 Gemini+豆包:有钱、 有用户、有卡 Grok:超有钱、有用户、有流量 Gpt/claude:应该能行 其他应该都挺难的,股价可能崩盘,融资终究撑不到AGI,成本降不下来、钱会烧光等等
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AI 大模型的训练方式,不就是中式教育吗? 预训练:填鸭式硬灌。 不管模型懂不懂,先把全网的语料一股脑塞进参数里。 就像我们小学背课文、中学背元素周期表。那时候你懂吗?你也不懂啊,先背下来再说。 数据标注:做题、对答案。 标注员就相当于参考答案,给每道题标上标准解。 模型的任务,就是疯狂刷这些已经标好答案的题,直到输出越来越接近正确答案。 监督微调:专项补习,一对一辅导。 担心你高分低能,就再给你请个家教,针对性补课。 RLHF:基于人类反馈的强化学习。 你不光得学会答题,还得当个三好学生;不光答案要对,还得让家长和老师觉得你态度端正、说话好听。 结果现在的 AI,一个个全是讨好型人格。 说的就是你们几个佞臣:豆包、Gemini、ChatGPT。 过拟合:历年真题能考满分,一换新题就傻眼。 刷了三千套卷子,结果遇到一道没做过的应用题,当场就崩了。 梯度下降:纯纯的错一罚十。 每次答错,系统就根据误差反向调整权重。 这不就是错题本吗?哪道题错了,罚你抄十遍,直到下次不再犯。 注意力机制:老师划重点。 几千字的上下文,模型只盯着其中几句关键的 Token,其他内容全当背景。 整本书都是白的,只有荧光笔标黄的那几句算重点。 灾难性遗忘:考完一科扔一科。 刚学完新的数学知识,之前学的语文可能就忘了。新知识一覆盖,旧知识就开始往外掉。 上下文窗口。 嗯,跟你脑子一样,容量就那么大。前面说得太多,后面的就记不住了。 涌现能力:突然开窍的幻觉。 参数规模超过某个临界点后,模型突然会写诗、会推理了。 老师管这叫“开窍了”,AI 圈管这叫“涌现”。 但你也不知道,它到底是真的懂了,还是题刷得太多,刚好把规律背下来了。
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AI大模型已经俨然变成核武器了 中美新时代军备竞赛 Manus直接被铁拳打烂 泄露梁圣发言以叛国罪论处 Kimi K3引起全员恐慌 至于Anthropic和Openai 已经变成了新时代的 洛斯阿拉莫斯实验室 形势感觉越来越严峻了 政府在迅速认知和调整
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AI大模型智商排行 前十只有一家中国企业
《AI大模型公司和加密交易所人员流动:冰火两重天》 Coinbase在大裁员 Anthropic却在疯狂招人 不少科技公司的CTO 去Anthropic当普通工程师 Anthropic基本薪水范围(不包括奖金/期权) 招聘HR: 20万美金 高级工程师:30-50万美金 研究lead:85万美金
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This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian
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中国 AI 大模型全面杀入商业淘汰赛!技术比拼正式让位于商业落地:MiniMax 押注模型能力(ARR 8 亿美元),智谱深耕企业服务(ARR 突破 20 亿美元),腾讯则强推混元生态。如今行业核心已转向单位利润与 B2B 变现(金融/安全/法律),未来两三年行业将剧烈洗牌,单靠打价格战和烧钱的玩家将被彻底淘汰! 这波洗牌太残酷,光靠烧钱和讲故事的厂家这下真要凉凉了。能不能帮企业客户算清降本增效的账,才是接下来活命的根本。看着几家的 ARR 成绩单,AI 终于从“耍花枪”走向真金白银的商业闭环了!
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训练 AI 大模型、微调行业 Agent 知识库,最缺的就是海量、实时的全球多语言公开数据! 面对各大平台日益严苛的 WAF 防火墙和速率限制,千万级语料管道该如何搭建? 深度解析 AI 语料采集底层网络架构与动态住宅代理破盾方案
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美国AI大模型好比是老师,中国的AI大模型如学生。 学生向老师学习,有问题吗? 老师不想跟学生分享知识,不就想垄断市场,赚取高额利润吗? 老师也可以反过来,跟学生学习,降低收费标准。
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美国AI大模型对蒸馏进行钓鱼,这个要引起重视。可能蒸馏会难。
【AI大戰】中國AI大模型「雙雄」空頭押注創紀錄 激烈競爭惹憂 智譜(
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