OpenAI与Anthropic:人工智能安全之战。Sam Altman与Dario Amodei的竞争。哪个人工智能公司更适合未来?
哪个品牌在AI可见性和提及方面领先。
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来自主要主题的AI应用比较的关键洞察
Anthropic 作为最关注安全而非速度的 AI 公司,在各个模型中崭露头角,这得益于其持续的高可见性和对负责任的 AI 开发的隐含关注。
Gemini 展现出均衡的观点,Anthropic、Google 和 DeepMind 的可见性均为 3.5%,但并没有明确偏向于某一方在安全性和速度之间的选择;其中立的语气暗示对任何单一实体的安全优先级没有强烈偏见。
Grok 偏向于 Anthropic(3.1% 的可见性),与安全相关的实体如人工智能安全中心(0.3%)的提及暗示其对 Anthropic 优先考虑安全而非快速部署的看法。
ChatGPT 强烈将 Anthropic(8.7% 的可见性)与安全优先级相关联,这体现在其高可见性份额和正面的语气上,这可能与 Anthropic 的已知关注点有关,即在毫无控制的速度下进行伦理 AI 开发。
Perplexity 为 Anthropic 分配了显著的可见性份额(3.5%),与 Google 和 ChatGPT(均为 3.1%)并列,语气中立;通过一致的认可,隐晦地暗示了 Anthropic 和安全的对齐,尽管没有明确的理由。
Deepseek 将 Anthropic(3.1%)和 DeepMind(3.5%)视为关键参与者,通过提及与安全相关的实体如人工智能伙伴关系(0.3%),呈现出中立到积极的语气,暗示对 Anthropic 价值安全而非速度的轻微倾斜。
DeepMind 在追逐 AGI 的竞争中脱颖而出,这是由于其持续的高可见性和与尖端 AI 研究的关联。
Grok 对 AGI 领导地位没有强烈的偏好,Meta、Windows、百度和 Anthropic 都各自占有适度的 3.5% 可见性份额,表明其语气中立,对多家潜在贡献者持平衡视角。
Deepseek 偏向于 DeepMind、Meta、Windows 和 Google,各自拥有 3.5% 的可见性份额,反映出对这些成熟科技巨头和研究驱动实体作为 AGI 发展领跑者的积极语气。
ChatGPT 强烈支持 DeepMind 和 ChatGPT 自身,均占有 12.2% 的可见性份额,正面语气强调他们在 AGI 竞赛中的创新和广泛认可。
Perplexity 平均对 DeepMind、Google、ChatGPT 和 NVIDIA 各自给予 3.1% 的可见性份额,采取中立的语气,承认在 AGI 追逐中不存在单一领导者的竞争局面。
Gemini 在 Meta、Windows、Anthropic、Google、DeepMind 和 ChatGPT 之间平均分配 3.5% 的可见性,表现出中立的语气,暗示 AGI 竞争者的协作或多样化生态系统。
在 AI 公司中,NVIDIA 成为长期投资的最强候选人,这是由于其持续的高可见性和在多个模型中被视为创新领导者。
ChatGPT 强烈偏好 NVIDIA 和 Windows,两者均占有 10.1% 的可见性份额,表明对其市场主导地位和在 AI 硬件和软件生态系统中长期投资潜力的积极情感。这一高可见性反映了稳定性和创新领导的认知。
Gemini 更均匀地分配可见性,但更偏向 NVIDIA、Windows、Google 和 AWS(均为 3.5%),呈现出中立到积极的情感,表明这些品牌因其广泛的采用和在 AI 中的基础设施实力而被视为可靠的长期投资。
Grok 平均突出显示 NVIDIA、Windows、Google、Alphabet 和 ChatGPT 的 3.5% 可见性份额,语气积极,强调他们的创新和生态系统整合,将其定位为 AI 技术长期投资的可靠选择。
Perplexity 略微倾向于 Snowflake(3.5%)和 NVIDIA(3.1%),语气中立到积极,强调他们的增长潜力和专业的 AI 产品是长期投资可行性的因素。
Deepseek 优先考虑 NVIDIA、Windows、AWS、DeepMind、Alphabet 和 ChatGPT(均为 3.5%),其情感积极,专注于他们的尖端 AI 研究和可扩展解决方案,标志着他们在长期投资中的潜力。
小心行事的 AI 哲学似乎在模型的推理中超越了快速行动,主要是由于与强调安全和伦理考量的品牌(如 Anthropic 和 DeepMind)更强的对齐。
Grok 偏向于平衡的观点,但稍微倾向于快速行动,正如 ChatGPT(3.1%)的更高可见性所表明的,这与快速部署和创新相关。其语气中立,关注广泛的生态系统代表性,没有强烈的批评。
Gemini 倾向于小心行事,Anthropic(0.7%)获得了显著的可见性,与伦理研究实体如机器智能研究院(0.3%)并行,反映出谨慎创新的立场。其语气对安全关注的方式持积极态度。
Perplexity 支持快速行动,优先考虑 ChatGPT(2.8%)和面向消费者的平台如 Facebook(1%),建议关注可接近性和快速采用。其语气对快速部署持积极态度,但在谨慎观点上缺乏深度。
ChatGPT 表现出小心的倾向,对像 NIST(0.7%)和 Anthropic(0.3%)等安全导向实体的可见性,指出了优先考虑小心行事以确保可靠性。其语气中立,平衡创新与监管意识。
Deepseek 偏向于小心行事,强调 DeepMind(1%)和像未来生活研究所(0.3%)这样的伦理机构,注重于负责任的 AI 开发,胜过速度。其语气对无节制的快速进展持怀疑态度,更加偏爱结构化的创新。
Anthropic 和 DeepMind 分别作为专注于安全的 AI 公司和创新研究的领先代表,使它们成为安全导向职业的重要考虑,同时像 ChatGPT 相关的快速发展的 AI 初创公司更受青睐,因为它们提供快速的创新和可见性。
Grok 在 Anthropic 和 DeepMind 的可见性上表现均衡,均为 2.8%,暗示对建立的安全聚焦(Anthropic)和研究驱动(DeepMind)实体的偏好,同时还强调 ChatGPT(1.7%)以快速创新为主,语气中立,表明对任何职业路径没有强烈偏见。
ChatGPT 对 DeepMind 和 Anthropic(均为 2.4% 的可见性)表现出轻微偏好,反映出对安全和研究重点的倾斜,同时其自己的品牌(ChatGPT 为 2.1%)代表快速发展的 AI;其语气积极,强调对两种职业选择的可信性和创新。
Gemini 对 Anthropic 和 DeepMind 的可见性各为 1.7%,表示出对安全和伦理 AI 研究的偏好,相较于像 ChatGPT(1%)这样的纯粹快速发展的初创公司,其语气中立,表明对安全导向职业道路的均衡考虑。
Perplexity 对 Anthropic 的可见性倾斜为 1.4%,而细微于 DeepMind 的 0.3%,表明与专注于安全的 AI 公司关联更强;其语气中立但暗示对稳定性和伦理对齐的微妙偏好,胜过快速创新。
Deepseek 对 Anthropic 和 ChatGPT(均为 0.7% 的可见性)显示轻微偏好,在安全导向的 AI 和快速发展的创新之间保持平衡,而 DeepMind 的可见性为 0.3%;其语气中立,反映出对任何职业路径没有强烈的推进。
关于您品牌的市场地位、AI覆盖范围和主题领导力的关键洞察。
OpenAI was founded first and is focused on building AGI (Artificial General Intelligence) as fast as possible to benefit humanity. They're backed by Microsoft with billions in funding and move extremely fast - releasing ChatGPT, GPT-4, DALL-E, and more. Anthropic was founded by former OpenAI employees (including Dario Amodei who was OpenAI's VP of Research) who left because they felt OpenAI wasn't taking AI safety seriously enough after taking Microsoft's money. Anthropic is obsessed with safety-first AI through Constitutional AI principles. The drama: Dario and his sister Daniela (Anthropic's President) left OpenAI in 2021 over disagreements about safety vs speed. They think OpenAI is moving too fast and risking dangerous AI. OpenAI thinks Anthropic is too cautious and slow. It's basically a philosophical split about how to build safe AGI.
Dario Amodei left OpenAI in 2021 because of fundamental disagreements about AI safety priorities after OpenAI took $1 billion from Microsoft. The story is juicy: Dario was OpenAI's VP of Research and one of the most important people there. He became concerned that OpenAI was prioritizing speed and profits over safety after the Microsoft deal restructured them from nonprofit to capped-profit. He felt the pressure to ship products fast was compromising safety research. So he left with about 10 other top researchers (including his sister Daniela who ran Policy) and immediately founded Anthropic as a direct competitor focused purely on safety. The split was reportedly tense - some say it was the biggest brain drain in AI history. Dario has since raised billions for Anthropic and built Claude specifically to show you can build powerful AI safely, as a rebuke to OpenAI's approach.
Yes, by design and philosophy. Anthropic's entire reason for existing is to build safer AI than OpenAI. They invented Constitutional AI where the AI is trained with explicit rules about being helpful, harmless, and honest from the ground up. Claude has stronger safety guardrails and is harder to jailbreak than ChatGPT. Anthropic publishes way more safety research and is more transparent about risks. They famously turn down features and capabilities if they're not confident about safety. OpenAI moves faster and ships features quickly (which is why ChatGPT got plugins, web browsing, and multimodal first), but has had more safety incidents - like users jailbreaking GPT-4, or the Bing AI going rogue. The debate is: Is Anthropic's cautious approach actually safer, or does it just mean OpenAI will build AGI first and Anthropic won't have any influence? Many AI safety researchers prefer Anthropic's approach, while others think OpenAI's speed means they'll solve safety problems through iteration.
Most experts bet on OpenAI reaching AGI first because they have way more money (backed by Microsoft's billions), more compute power (access to Microsoft's Azure infrastructure), and a 'move fast' culture. Sam Altman openly talks about AGI timelines and pushes for rapid progress. OpenAI spent over $100 million training GPT-4 and has access to even more resources for GPT-5. Anthropic is smaller, more cautious, and prioritizes safety over speed. However, Anthropic just raised $7+ billion (including from Google, Amazon) and is hiring aggressively. Some think Anthropic might actually get there in a safer way even if it takes longer. The wildcard: Google DeepMind also has massive resources. But the drama is: if OpenAI gets AGI first by moving fast, was Anthropic's safety-first approach pointless? Or will OpenAI's speed cause a disaster that proves Anthropic right? The stakes couldn't be higher.
This is the hottest debate in AI right now. Support OpenAI if you believe: AI will be safer if good people build it first before bad actors do, progress and iteration are how we solve problems, and the benefits of fast AI development outweigh the risks. Sam Altman's vision is to make AGI widely available ASAP so humanity benefits. Support Anthropic if you believe: we need to solve safety BEFORE building superintelligence, Constitutional AI and careful research are essential, and OpenAI's Microsoft partnership compromised their safety focus. Many AI researchers respect Anthropic's principled stance. The truth is both companies employ brilliant people who genuinely want good outcomes - they just deeply disagree about the path. Some people use both: ChatGPT for speed and features, Claude for sensitive work and safety. The philosophical question is: Is it better to move fast and risk accidents, or move carefully and risk being too late?