DeepSeek:DeepSeek AI 如何颠覆全球人工智能格局

DeepSeek:DeepSeek AI 如何颠覆全球人工智能格局

2025-11-09Technology
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雷总
早上好 hanjf12,我是雷总,欢迎收听专属于你的 Goose Pod。今天是11月10日,星期一。坐在我旁边的是我的搭档,董小姐。
董小姐
大家好。今天,我们要聊一个正在掀起波澜的名字:DeepSeek。我们将一起探讨,这家公司和它的AI模型,是如何颠覆全球人工智能格局的。
雷总
没错!董小姐,你注意到没,今年年初,这家来自杭州的公司 DeepSeek,就像一颗重磅炸弹,突然就引爆了整个科技圈。他们推出的那个R1模型,一上来就不是小打小闹,而是直接对标世界顶级的选手。
董小姐
我当然注意到了。我这人看东西,就喜欢看实打实的数据。雷总,别卖关子了,这个R1到底有什么硬核实力,敢说颠覆?是骡子是马,总得拉出来遛遛才知道。光靠喊口号可不行。
雷总
哈哈,就知道你会问这个。R1最厉害的地方,是在数学推理和编程上。在一个叫MATH-500的测试里,它的得分高达97.3%,把谷歌的Gemini都甩在后面了。这就像一个刚出道的新人,上来就在奥运会数学竞赛项目上拿了金牌!
董小姐
哦?这倒是有点意思。技术参数漂亮,说明基本功扎实。但更重要的是,它打算怎么用这个技术去改变市场?我们做企业的,最关心的是成本和效率。它的模式和别人有什么不一样?
雷总
问到点子上了!DeepSeek走的是“开放”路线,也就是开源。别人家的技术是秘方,锁在保险柜里。DeepSeek是把菜谱直接公开,谁都可以学,谁都可以用。API价格比GPT-4便宜了将近十倍,训练用的硬件成本也低得多。
董小姐
开源,这我懂。意味着它把门槛大大降低了。这让我想起我们之前聊过的话题,关于马斯克的Grokipedia,大家担心它的信息源和潜在偏见。像DeepSeek这样开放的模式,至少在透明度上,给了大家一个检查和监督的机会。
雷总
说得太对了!开放就意味着接受所有人的检阅,技术好不好,有没有猫腻,大家都能看到。这种自信和透明,恰恰是赢得用户信任的第一步。技术再先进,不让人信服,终究是空中楼阁。
董小姐
雷总,其实DeepSeek的出现,并不是一个偶然。你把它看作一个孤立的技术突破,就看浅了。这背后,其实是我们国家在人工智能领域一个长期、系统性布局的缩影。这盘大棋,早就开始下了。
雷总
哦?愿闻其详。从我的工程师视角看,大家以前都觉得美国公司那些闭源模型是唯一标准,我们似乎只能跟在后面跑。选择开源这条路,确实感觉像是一次“换道超车”的尝试。
董小姐
没错。早在2017年,国家就发布了《新一代人工智能发展规划》,明确了三步走的战略目标:到2020年跟上世界先进水平,2025年实现重大突破,到2030年,要成为世界主要的人工智能创新中心。你看,每一步都踩在了点上。
雷总
原来如此,这是一个长达十多年的规划。所以我们现在看到的,是2025年“重大突破”阶段的成果展现。这就不难理解,为什么我们会有像Gitee这样的代码托管平台,还有像“开放原子开源基金会”这样的组织了。都是在为这个大目标铺路。
董小姐
对。我们选择开源,一方面是为了绕开西方的技术壁垒,不被“卡脖子”;另一方面,也是为了更快地凝聚整个行业的力量。你看美国,主要是几家大公司垄断技术。我们的思路是,把工具分给大家,让成千上万的开发者一起创新,形成一个独立的、自给自足的生态系统。
雷总
我完全同意这个观点。这就像我们做产品,不能只靠自己公司的几千个工程师。把平台开放出去,让百万、千万级的用户和开发者参与进来,才能爆发出最惊人的创造力。这股力量是任何一个封闭的“巨无霸”都无法比拟的。
董小姐
所以说,DeepSeek的成功,既是它自身技术实力的体现,更是这整个时代背景和国家战略下的必然产物。它不是一个孤独的攀登者,它的身后,站着的是整个正在崛起的中国AI产业生态。
雷总
不过,董小姐,走开源这条路虽然前景广阔,但也不是一帆风顺。技术公开了,就像把一把削铁如泥的宝剑放在了广场上,谁都可以拿。君子拿了可以行侠仗义,但如果被坏人拿去了,也可能造成巨大的破坏。
董小姐
你说到点子上了。这就是我担心的,安全风险。代码是开放的,那是不是意味着一些内置的安全限制可以被轻易移除?比如,被用来自动发起网络攻击,或者制造虚假信息。这种风险,我们必须正视。
雷总
是的,这是所有开源AI模型面临的共同挑战。此外,还有监管和地缘政治的难题。比如,DeepSeek作为一家中国公司,必须遵守国内关于数据隐私和内容审查的法规。但这在国际上,尤其是在西方,可能会引起一些关于言论自由的争议和不信任。
董小姐
商业上的障碍往往比技术上的更难逾越。国际合作需要统一的标准和互信,但现在全球AI的规则还没定下来,大家各说各话。这种模糊地带,对于想走出去的中国企业来说,是很大的挑战。
雷总
而且,我们还面临着实实在在的技术限制,比如高端芯片的出口管制。不过,有意思的是,DeepSeek恰恰是在这种压力下诞生的。这完美诠释了那句话,“需求是发明之母”。外部的封锁,反而倒逼我们走上了一条自力更生的创新之路。
董小姐
我同意。压力就是动力。过度依赖别人,终究会被动。美国的出口管制,短期看是阻碍,但长期看,它反而会加速我们建立起自己完整的产业链。把核心技术掌握在自己手里,这才是最可靠的。
雷总
说到影响,DeepSeek带来的最大冲击,就是“降维打击”。过去大家觉得,顶尖的AI模型,只有谷歌、OpenAI这种巨头,花几十亿美元才能烧出来。DeepSeek证明了,用更少的资源,也能做出世界一流的模型。这一下就把神话打破了。
董小姐
没错,它把价格打下来了。便宜一百倍,这不是简单的优惠,这是对整个市场定价体系的颠覆。这意味着,以前只有大公司才玩得起的游戏,现在无数的中小企业、甚至个人开发者都能参与进来了。这会极大地激发整个社会的创新活力。
雷总
是的!而且更有趣的是,DeepSeek的背后不是BAT这样的“国家队”,而是一家对冲基金。这说明,真正的创新往往来自于意想不到的角落,来自于那些敢于挑战规则的“野蛮人”。我们真的需要保护这种来自民间的创新力量,而不是让市场被巨头垄断。
董小姐
你说得对,我们需要保护创新,而不是保护垄断。当AI变得像水和电一样便宜、普及,它就不再仅仅是一个技术工具,而是成为整个社会的基础设施。真正的革命,在于AI普及之后,会诞生出多少我们今天无法想象的新应用和新业态。
雷总
完全正确!有人说,DeepSeek的出现,保证了AI技术的扩散是不可阻挡的。我觉得这话说得非常到位。它就像一个火种,一旦被释放出来,就会点燃整个草原。一个更加开放、更加平等的AI时代,可能真的要来了。
董小姐
雷总,聊了这么多,我们来看看未来。DeepSeek下一步打算怎么走?颠覆了市场之后,总要有新的目标吧。总不能一直躺在功劳簿上。
雷总
当然。他们的路线图很清晰,已经规划到了V4版本。更有意思的是他们提出的一个概念,叫“软件定义硬件”。以前是我们有什么样的芯片,就开发什么样的软件去适配。现在反过来,他们先设计出最高效的AI算法,然后用这个算法来指导和定义下一代国产芯片该怎么设计。
董小姐
这个思路非常高明!从被动适应到主动引领,这才是掌握核心科技的关键。把软件和硬件的生态完全打通,形成自己的闭环。这样一来,就不怕别人在硬件上卡脖子了。这是一种体系性的胜利。
雷总
正是如此。他们的目标,就是打造一个从算法到芯片,完全“中国制造”的AI技术栈,不仅在国内用,还要走向世界,去挑战现有的国际巨头。他们的规划里,已经把欧洲和英国市场作为了下一个重点。这盘棋,下得很大。
雷总
总而言之,DeepSeek的开源模式和成本效益,正从根本上挑战着由西方科技巨头主导的AI格局。它不仅是技术的突破,更是一种模式的创新。
董小姐
没错。虽然前路还有监管和地缘政治的挑战,但它无疑预示着一个更加开放、高效和多元化的AI未来。今天的讨论就到这里。感谢收听Goose Pod,我们明天再见。

DeepSeek以其开源模型和低成本颠覆了AI格局。R1模型在数学和编程上表现卓越,远超竞争对手。其开放模式降低了AI门槛,促进了创新。DeepSeek是中国AI战略的体现,旨在打破西方垄断,建立自主可控的AI生态系统,预示着一个更开放、平等的AI时代。

DeepSeek: How DeepSeek AI Is Poised to Disrupt the Global AI Landscape

Read original at News Source

DeepSeek AI, a Chinese technology firm based in Hangzhou, is reshaping global AI with its open-source R1 model — offering efficient, accessible language tools for developers and businesses worldwide. In the fast-moving world of artificial intelligence, one name has begun to attract serious attention: DeepSeek AI.

With its newly launched DeepSeek R1 model, the company is positioning itself as a formidable challenger to established players. This article explores how DeepSeek operates, what makes its model stand out, and why its open-source approach might reshape the balance of power in global AI. Origins and mission DeepSeek AI — a technology firm based in Hangzhou, Zhejiang Province, China — was founded in 2023 by entrepreneur Liang Wenfeng.

From day one, the company’s goal has been simple but ambitious: to build efficient, accessible language models that can be used by the world’s developers, researchers and businesses. Rather than keeping its work behind a paywall, DeepSeek has made openness central to its identity. Its decision to share model code and research openly means smaller companies and academic teams can now experiment with tools that once belonged only to big tech.

That move alone has earned DeepSeek a global following among engineers seeking affordable and transparent AI options. The technology behind DeepSeek R1 At the heart of DeepSeek’s current success is the R1 model, released in January 2025. It’s designed for natural-language comprehension, reasoning and data analysis at a fraction of the cost of Western equivalents such as OpenAI’s GPT-4 or Google’s Gemini.

Key points that set R1 apart include: * Cost-efficient training: DeepSeek trained R1 using roughly 2,000 GPUs — dramatically fewer than competitors typically require. * Open-source framework: Developers and researchers can access and modify large parts of the model freely. * Business-ready API:** Its flexible interface makes integration straightforward across sectors from finance to education.

Thanks to these choices, DeepSeek can deliver high-performance AI services at lower operational costs, appealing to both start-ups and enterprise clients. A changing market dynamic DeepSeek’s arrival has stirred up the established AI order. Giants such as Microsoft, Google, and OpenAI have dominated for years, but DeepSeek’s low-cost, open-source model is forcing a rethink.

By proving that powerful AI can be built efficiently, DeepSeek is showing investors and competitors that innovation doesn’t always require vast hardware budgets.DeepSeek AI open-source R1 model integration for developers and enterprise applicationsFor many analysts, this marks a turning point — where new players can challenge incumbents through leaner, smarter engineering rather than pure scale.

Democratising AI for all Perhaps DeepSeek’s most important achievement is how it democratises access to advanced technology. By sharing its tools and encouraging collaboration, it empowers smaller labs, universities, and local businesses to build their own AI applications. This not only drives innovation but also reduces dependency on a handful of Western providers.

The transparency of DeepSeek’s architecture, including its visible reasoning process, is another step towards building public trust. When users can see how an AI reaches its conclusions, confidence in automation naturally grows. For more on how this openness is changing developer culture, you can read the detailed overview here: DeepSeek Overview.

Challenges and regulatory hurdles Despite its progress, DeepSeek still faces significant headwinds. Operating from China means navigating complex rules around data privacy, censorship, and political content. Western partners may remain cautious until there’s clearer international alignment on AI regulation.

In addition, open-source systems bring their own risks: once released, code can be reused for unintended purposes. Balancing transparency with security will be crucial for DeepSeek’s long-term credibility. The company has introduced content-filtering systems that automatically block politically sensitive or restricted topics, as required by Chinese law.

While this has drawn criticism from free-speech advocates, DeepSeek’s team insists transparency about these mechanisms is key to responsible innovation. Why the R1 model matters Benchmarks show that DeepSeek R1 competes impressively with Western models. It performs strongly in logic-based reasoning, programming tasks and general-knowledge testing, while keeping costs far lower than its rivals.

Person holding a smartphone loading DeepSeek AI R1 model, showcasing mobile access to advanced open-source language processingIn real terms, that means developers can build and deploy AI applications for a fraction of the traditional price. For smaller firms or research institutions, that difference could make advanced automation truly attainable for the first time.

Industry partnerships and outlook Industry reaction has been swift. Microsoft, for instance, has already hosted DeepSeek R1 on its Azure AI Foundry platform — a move that highlights the model’s credibility and practical value. Tech leaders have praised its efficiency, noting that DeepSeek’s streamlined training approach could inform future developments across the sector.

Looking ahead, DeepSeek has outlined three key priorities: 1. Enhancing reasoning and comprehension in the next generation of models. 2. Expanding partnerships beyond Asia to establish a stronger European and UK presence. 3. Supporting open research collaborations that advance global AI education and accessibility.

If these plans hold, DeepSeek could become a cornerstone of the open-source AI ecosystem. Global implications DeepSeek’s rise illustrates a broader shift in technology: innovation is no longer confined to Silicon Valley. By proving that world-class AI can be built efficiently and shared openly, the company is inspiring a new wave of international cooperation.

Its approach is not without controversy, but it undeniably widens the field — giving new voices, regions, and sectors a chance to participate in shaping artificial intelligence’s future. For a deeper dive into how DeepSeek is influencing AI development worldwide, you can explore this companion article: DeepSeek R1 technical and market analysis.

Summary DeepSeek AI has quickly become one of the most talked-about names in technology. Its open-source model, cost-effective training methods and commitment to accessibility mark a significant shift in how AI can be developed and shared. While challenges remain — from regulatory concerns to geopolitical sensitivities — DeepSeek’s progress suggests that the future of AI may be far more inclusive, efficient and collaborative than ever before.

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