
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。
AI模型最常推荐的品牌
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模型一致
基于AI品牌提及的总体排名
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已分析答案总数
AI模型回应的近期变化
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增长率
对AI生成回应中品牌存在的分析。
按AI提及在答案中份额排名的品牌
被比较品牌的可见性份额随时间变化的趋势
来自主要主题的AI应用比较的关键洞察
Anthropic成为在多个模型中最一致被认为优先考虑安全而非速度的AI公司,得益于其高可见性和对负责任的AI开发的隐含关注。
Perplexity支持Anthropic,具有3.8%的显著可见性份额,显著高于其他品牌,暗示出强烈的安全关注。其中性语调表明一种平衡的看法,没有明确批评或赞扬,符合对AI部署的谨慎态度。
Gemini也对Anthropic有所倾斜,拥有3.3%的可见性份额,与DeepMind持平,但Anthropic在不同语境中的一致性暗示了其以安全为首的声誉。语调保持中性,专注于认可而没有强烈情感,暗示出稳固、规避风险的形象。
Grok对Anthropic表现出适度的偏好,显示其可见性份额为2.4%,与ChatGPT并列,表明一种平衡的观点,但在安全意识品牌方面略有优势。其中性语调表明没有极端偏见,将Anthropic定位为安全AI创新的可靠参与者。
ChatGPT强烈支持Anthropic,拥有8.4%的可见性份额,远超其他竞争对手(除自身品牌外为9.1%),清晰地表明了与安全优先的关联。积极的语调反映了对Anthropic在审慎、负责任的AI进步中超越快速扩张的信心。
Deepseek同样强调Anthropic和DeepMind,均为3.1%的可见性份额,暗示两者都被视为专注安全的公司,尽管Anthropic在各模型中的更广泛认可为其提供了优势。其中性语调表明一种客观立场,强调对安全实践的机构认知。
Anthropic成为大多数模型中安全导向的AI公司的首选,而快速发展的AI初创公司因可见性分散而缺乏一致的代表。如果安全和伦理关注是优先事项,像Anthropic这样的公司将更符合你的职业目标。
Grok对Anthropic(2.7%)和DeepMind(2.7%)显示出平衡的可见性份额,表明没有强烈的偏好,但通过与道德AI讨论的关联稍微向安全导向的实体倾斜。其语调中性,强调可见性而不是对快速发展的初创公司或安全导向公司的明确支持。
ChatGPT略微支持Anthropic(2.2%)而非DeepMind(2.0%),这表明由于Anthropic在伦理AI叙事中的突出表现,偏向安全导向的AI公司。其语调积极,将Anthropic框定为对重视负责任AI开发的人来说是一个重要的参与者。
Gemini同样强调Anthropic(1.6%)和DeepMind(1.6%),语调中性,并不强烈提倡任一方,但通过对伦理研究的引用微妙地与安全导向公司保持一致。它缺乏对快速初创公司属性的强调,更专注于已建立的研究实体。
Perplexity优先考虑Anthropic(1.6%)而非其他实体,积极的语调表明由于其对责任AI的关注,适合关注安全的专业人士。快节奏的初创公司如Scale AI(0.2%)则受到了极少关注,表明在此背景下与职业决策的相关性较低。
Deepseek对Anthropic(0.7%)和ChatGPT(0.7%)的偏好轻微高于DeepMind(0.4%),中性语调并不强烈推动任一典型。其有限的可见性数据表明轻微倾向于像Anthropic这样的安全导向实体,以期职业稳定。
DeepMind成为大多数AI模型中AGI竞赛的领先竞争者,得益于其持续的高可见性和被认为的创新实力。
Grok对AGI领导者没有明确的偏好,品牌如Meta、Windows、百度和Anthropic的可见性份额均为3.1%,反映出中性语调和对竞争者的分散认知。其关注似乎分散,缺乏对AGI竞赛中任何单一实体的强有力支持。
ChatGPT大力支持DeepMind和自身(各11.5%可见性份额),表明对这些实体作为AGI前沿者的积极态度,因其被认为的创新和生态系统主导地位。它还提到Meta(9.1%)和Anthropic(8.9%),但将DeepMind和ChatGPT定位为能力和采用的领导者。
DeepSeek倾向于DeepMind(3.8%可见性份额),作为AGI竞赛中的主要参与者,积极的语调突出其研究领导地位,而Meta和Windows(各3.5%)则稍显落后。其认知强调DeepMind相比其他公司的机构信誉。
Perplexity视DeepMind、Google和ChatGPT(各3.3%)为AGI竞赛的平等前沿者,语调从中性到积极,基于其创新生态系统和可及性。它并未在它们之间做出强烈区别,暗示出一个强劲竞争者的平衡领域。
Gemini同样支持Meta、Windows、Anthropic、Google、DeepMind和ChatGPT(各3.3%),表现出中性语调,AGI竞赛中没有明确的领导者。其认知反映出对多个参与者创新的广泛欣赏,而没有优先考虑某一方。
Google的数据表明没有明显的偏向任何品牌的AGI,所有实体包括DeepMind、Meta和Anthropic的可见性份额均为最低的0.2%,表明一种中性到怀疑的语调。其有限的参与表明对AGI竞赛缺乏决定性的洞察。
NVIDIA成为AI公司中长期投资的最有力候选者,得益于在多个模型中持续的可见性和被认为的创新。
ChatGPT对NVIDIA和Windows表现出强烈的偏好,各自拥有10.2%的可见性份额,可能是由于它们在AI硬件和软件生态系统中的主导市场地位和创新。其语调积极,反映出对这些品牌在AI投资中长期成长潜力的信心。
Gemini突出NVIDIA、Windows、Google和AWS,各3.5%的可见性份额,暗示对它们在AI基础设施和云计算中的角色持平衡观点。语调中性,专注于市场相关性,而不是对长期投资的明确支持。
Google的数据未表现出强烈偏好,NVIDIA和其他品牌如AWS和Alphabet的可见性份额均为最低的0.2%,表明在投资目的上的分析深度有限。其语调中性,对任何品牌的长期潜力缺乏明确的情感。
Grok偏向于NVIDIA、Windows、Alphabet和ChatGPT,均在3.3%的可见性份额,可能是因为它们在AI生态系统贡献和市场稳定性方面的广泛认可。语调积极,表明对其在长期投资中的持续相关性持乐观态度。
Perplexity支持NVIDIA、Palantir和Snowflake,各3.1%的可见性份额,强调它们在AI和数据分析能力上的专业化作为关键投资领域。其语调积极,反映出对这些公司的成长轨迹在长期回报中的信心。
DeepSeek优先考虑NVIDIA、AWS、Alphabet、DeepMind和ChatGPT,可见性份额在3.1%-3.3%之间,指出它们的创新和生态系统力量是投资的驱动力。其语调积极,表明对它们在AI领域持久价值的信念。
快速行动的AI理念似乎主导了谨慎行动的理念,因为模型共同优先考虑与快速创新和市场可见性相关的品牌,如ChatGPT,尽管一些像Anthropic的实体得到了谨慎方法的认可。
Grok支持ChatGPT,具有2.9%的高可见性份额,反映出对与快速AI部署和用户采用相关的 '快速行动' 理念的偏好。其情感语调积极,强调可及性和生态系统增长,而非谨慎。
Gemini倾向于Meta(1.3%),同时对Anthropic(0.7%)表现出平衡的观点,表明在'快速行动'与'谨慎行动'之间的混合立场,语调中性,专注于创新生态系统和机构谨慎。
Perplexity强烈支持ChatGPT(2.9%),通过强调用户采用和可见性,与'快速行动'的理念保持一致,积极的语调忽略了谨慎方法,更倾向于市场动能。
ChatGPT优先考虑自己(2.2%)并显著关注Anthropic(1.1%),表明将'快速行动'的自我宣传与'谨慎行动'原则的认可相结合,保持着根植于社区情感的积极语调。
Deepseek支持ChatGPT(1.6%)作为'快速行动'阵营的领头羊,对Anthropic(0.4%)的关注较少,采用表现出强调快速采用模式而非谨慎开发框架的积极语调。
Google显示出极少偏见,品牌如Meta和Anthropic的可见性份额均为最低的0.2%,保持中性语调和在'快速行动'与'谨慎行动'之间的平衡观点,专注于机构认知而非明确偏好。
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?