<p>人工智能的竞争正在加剧，谷歌正逐渐成为对 OpenAI 的强有力挑战者。被广泛认为是人工智能教父的杰弗里·辛顿最近表示，谷歌可能正在超越 OpenAI，这一转变令人惊讶，因为在人工智能竞赛中谷歌多年来一直处于落后状态。</p>
<p>在与行业观察者的交谈中，辛顿指出谷歌最近的进展是其日益增长优势的证据。升级版人工智能模型 Gemini 3 的发布因其在推理和处理多种输入类型方面的出色表现而受到赞誉，许多人认为这使其在多个领域超越了 OpenAI 的 GPT-5。</p>
<h3><strong>Gemini 3 和 Nano Banana Pro 提升势头</strong></h3>
<p>谷歌还推出了 Nano Banana Pro，这是一种轻量级图像生成模型，旨在高效运行于不依赖于庞大云基础设施的设备上。这两项创新展示了谷歌将高水平研究与实际应用相结合的能力，增强了其在人工智能领域的影响力。</p>
<p>与 2022 年相比，这一势头的转变令人瞩目，当时有报道称谷歌因 ChatGPT 的突然流行而发出了 “红色警报”。现在，行业似乎在密切关注 OpenAI，因为谷歌利用其研究和硬件优势迅速取得进展。</p>
<h3><strong>研究和基础设施的优势</strong></h3>
<p>辛顿强调了谷歌的端到端生态系统，从专有的人工智能芯片到全球数据中心网络，都是公司日益增强实力的关键因素。报道称，谷歌可能与 Meta 达成协议，向其供应这些芯片，这将进一步巩固谷歌在人工智能硬件领域的地位。</p>
<p>他还强调了谷歌在基础人工智能研究方面的历史，包括开发大多数现代大型语言模型所依赖的变换器架构。尽管拥有长期的专业知识，谷歌最初在公共人工智能开发方面采取了谨慎态度。辛顿指出，这种谨慎源于 2016 年微软的 “Tay” 聊天机器人事件，该事件暴露了过快发布人工智能技术所带来的声誉风险。</p>
<h3><strong>投资未来的人工智能领导者</strong></h3>
<p>辛顿于 2023 年离开谷歌，以便更公开地讨论人工智能风险，他仍通过学术界影响这一领域。谷歌最近向多伦多大学捐赠了 1000 万加元，以设立 Hinton 人工智能讲席，该捐赠得到了大学的匹配支持。该倡议旨在支持基础人工智能研究，这种研究帮助推动了今天人工智能创新的激增。</p>
<p>随着谷歌不断完善其人工智能模型并增强基础设施，专家们建议该公司可能会重塑竞争格局。辛顿的评论强调了将研究、实际应用和可扩展硬件相结合的重要性，这一策略可能使谷歌在竞争对手中获得持久优势。</p>
<p>人工智能领域仍然快速变化且不可预测，但当前的轨迹表明，谷歌正越来越多地挑战 OpenAI 之前的主导地位。随着 Gemini 3 和 Nano Banana Pro 引起关注，谷歌似乎正在将其多年的研究和资源转化为切实的进展，标志着人工智能演变中的一个重要时刻。</p>

OpenAI

<p>杰弗里·辛顿（Geoffrey Hinton）表示，谷歌在人工智能开发方面超越了 OpenAI，提到了如 Gemini 3 和 Nano Banana Pro 等进展。谷歌的生态系统，包括人工智能芯片和数据中心，增强了其竞争力。辛顿在学术界的影响力依然存在，谷歌为人工智能研究提供资金。人工智能行业发展迅速，但谷歌正在挑战 OpenAI 的主导地位，利用研究和基础设施推动进步</p>

<p>The competition in artificial intelligence is heating up, and Google is emerging as a strong challenger to OpenAI. Geoffrey Hinton, widely regarded as the godfather of AI, recently suggested that Google may now be surpassing OpenAI, a surprising turn after years of lagging behind in the AI race.</p>
<div class="lb-trans"><p>人工智能的竞争正在加剧，谷歌正逐渐成为对 OpenAI 的强有力挑战者。被广泛认为是人工智能教父的杰弗里·辛顿最近表示，谷歌可能正在超越 OpenAI，这一转变令人惊讶，因为在人工智能竞赛中谷歌多年来一直处于落后状态。</p>
</div><p>Speaking to industry observers, Hinton pointed to Google’s recent advances as evidence of its growing edge. The release of Gemini 3, an upgraded AI model, has been praised for excelling in reasoning and handling multiple types of input, a capability that many believe puts it ahead of OpenAI’s GPT-5 in several areas.</p>
<div class="lb-trans"><p>在与行业观察者的交谈中，辛顿指出谷歌最近的进展是其日益增长优势的证据。升级版人工智能模型 Gemini 3 的发布因其在推理和处理多种输入类型方面的出色表现而受到赞誉，许多人认为这使其在多个领域超越了 OpenAI 的 GPT-5。</p>
</div><h3><strong>Gemini 3 and Nano Banana Pro boost momentum</strong></h3>
<div class="lb-trans"><h3><strong>Gemini 3 和 Nano Banana Pro 提升势头</strong></h3>
</div><p>Google has also introduced Nano Banana Pro, a lightweight image-generation model designed to run efficiently on devices without relying on massive cloud infrastructure. These two innovations demonstrate Google’s growing ability to combine high-level research with practical applications, increasing its influence in the AI sector.</p>
<div class="lb-trans"><p>谷歌还推出了 Nano Banana Pro，这是一种轻量级图像生成模型，旨在高效运行于不依赖于庞大云基础设施的设备上。这两项创新展示了谷歌将高水平研究与实际应用相结合的能力，增强了其在人工智能领域的影响力。</p>
</div><p>This shift in momentum is striking compared with 2022, when reports suggested Google issued a “code red” in response to ChatGPT’s sudden popularity. Now, the industry appears to be watching OpenAI carefully as Google leverages its research and hardware advantages to make rapid progress.</p>
<div class="lb-trans"><p>与 2022 年相比，这一势头的转变令人瞩目，当时有报道称谷歌因 ChatGPT 的突然流行而发出了 “红色警报”。现在，行业似乎在密切关注 OpenAI，因为谷歌利用其研究和硬件优势迅速取得进展。</p>
</div><h3><strong>Strength in research and infrastructure</strong></h3>
<div class="lb-trans"><h3><strong>研究和基础设施的优势</strong></h3>
</div><p>Hinton highlighted Google’s end-to-end ecosystem, from proprietary AI chips to a global network of data centers, as a key factor in the company’s growing strength. Reports indicate a potential deal to supply these chips to Meta, which would reinforce Google’s position in AI hardware.</p>
<div class="lb-trans"><p>辛顿强调了谷歌的端到端生态系统，从专有的人工智能芯片到全球数据中心网络，都是公司日益增强实力的关键因素。报道称，谷歌可能与 Meta 达成协议，向其供应这些芯片，这将进一步巩固谷歌在人工智能硬件领域的地位。</p>
</div><p>He also emphasized Google’s history of foundational AI research, including the development of the transformer architecture that underlies most modern large language models. Despite its long-standing expertise, Google initially approached public AI development cautiously. Hinton noted that caution stemmed from the 2016 “Tay” chatbot incident at Microsoft, which exposed reputational risks in releasing AI technologies too quickly.</p>
<div class="lb-trans"><p>他还强调了谷歌在基础人工智能研究方面的历史，包括开发大多数现代大型语言模型所依赖的变换器架构。尽管拥有长期的专业知识，谷歌最初在公共人工智能开发方面采取了谨慎态度。辛顿指出，这种谨慎源于 2016 年微软的 “Tay” 聊天机器人事件，该事件暴露了过快发布人工智能技术所带来的声誉风险。</p>
</div><h3><strong>Investing in future AI leaders</strong></h3>
<div class="lb-trans"><h3><strong>投资未来的人工智能领导者</strong></h3>
</div><p>Hinton, who left Google in 2023 to speak more openly about AI risks, is continuing to influence the field through academia. Google recently contributed C$10 million to the University of Toronto to establish the Hinton Chair in Artificial Intelligence, a gift matched by the university. The initiative aims to support fundamental AI research, the kind that helped launch today’s surge in AI innovation.</p>
<div class="lb-trans"><p>辛顿于 2023 年离开谷歌，以便更公开地讨论人工智能风险，他仍通过学术界影响这一领域。谷歌最近向多伦多大学捐赠了 1000 万加元，以设立 Hinton 人工智能讲席，该捐赠得到了大学的匹配支持。该倡议旨在支持基础人工智能研究，这种研究帮助推动了今天人工智能创新的激增。</p>
</div><p>As Google refines its AI models and strengthens its infrastructure, experts suggest the company could reshape the competitive landscape. Hinton’s comments underscore the importance of combining research, practical applications, and scalable hardware, a strategy that may give Google an enduring advantage over competitors.</p>
<div class="lb-trans"><p>随着谷歌不断完善其人工智能模型并增强基础设施，专家们建议该公司可能会重塑竞争格局。辛顿的评论强调了将研究、实际应用和可扩展硬件相结合的重要性，这一策略可能使谷歌在竞争对手中获得持久优势。</p>
</div><p>The AI sector remains fast-moving and unpredictable, but the current trajectory suggests that Google is increasingly challenging OpenAI’s previously dominant position. With Gemini 3 and Nano Banana Pro capturing attention, Google appears to be translating its years of research and resources into tangible progress, marking a significant moment in the evolution of artificial intelligence.</p>
<div class="lb-trans"><p>人工智能领域仍然快速变化且不可预测，但当前的轨迹表明，谷歌正越来越多地挑战 OpenAI 之前的主导地位。随着 Gemini 3 和 Nano Banana Pro 引起关注，谷歌似乎正在将其多年的研究和资源转化为切实的进展，标志着人工智能演变中的一个重要时刻。</p>
</div>

谷歌是否正在赶超 OpenAI？AI 专家对此进行了分析