当前位置：主页 > 贺州 >

熊出没

一站式调用全球150+大模型，Deepseek,GLM-5.2,Kimi K3无限爽用_我的网站

阿凡达

A |

Zhou Jiang speaks at an event. Photo: Courtesy of Zhou Jiang
Zhou Jiang, a researcher at the Sichuan Academy of Social Sciences, has a favorite book: White Deer Tableland or Bai Lu Yuan by renowned writer Chen Zhongshi.
As vice president of the Regional Science Association of China (RSAC), Zhou told the Global Times that a lifetime of reading has profoundly shaped the way he sees and understands the world. It ultimately led him to a career in research and academia, where he teaches and pursues scholarly work.
Since earning his PhD in economics in 2000, he has devoted himself to the study of regional science and economics, a field that demands a constant crossing of disciplinary boundaries, drawing on the fields of geography, sociology, history, and ecology among others.
"Reading has kept alive my sense of curiosity and taught me to ask questions with patience and persistence: Where do disparities in regional development come from? How do policies affect different groups in society? And how can a region pursue both efficiency and equity so that development is not merely effective, but also imbued with a greater sense of humanity and warmth?" Zhou noted.
Founded in 1991, RSAC is a national academic society dedicated to advancing domestic and international academic exchange and cooperation, providing consulting services on spatial planning, urbanization, and regional development, and offering intellectual support for China's modernization drive.
The 57-year-old researcher noted that reading has empowered him in two distinct ways.
"The first is discernment. When confronted with a complex issue, I try not to settle for a simple conclusion. Instead, I make an effort to understand its broader context, how it has unfolded, and the perspectives of the different people involved," he said.
"The second is a sense of inner steadiness. Setbacks are an inevitable part of both life and work. Good books remind us that hardship is never ours alone to bear; countless people before us have faced circumstances more difficult than our own, made difficult choices, and found the strength to carry on. Reading cannot solve every problem for us, but it can help us remain calm when challenges arise, giving us the clarity and resilience that allow us not to panic or give up too easily," he said.
Historical depth

Each time Zhou returns to the White Deer Tableland, he finds something different in its pages.
"When I first read it as a young person, I was drawn primarily to the characters and the twists and turns of their lives. Later, as I began researching regional economics, I found myself paying closer attention to the changes in the land, the countryside, families and social order presented in the story. Now, approaching 60, I have come to appreciate more deeply the choices the characters make, the constraints they face, and the quiet perseverance they show amid the sweeping currents of their times," he said.
White Deer Tableland uses Bai Lu village in Northwest China's Shaanxi Province as a microcosm, tracing the feuds and intertwined fortunes of three generations of the Bai (literally meaning white) and Lu families. Through their stories, it captures more than half a century of sweeping historical change, from the final years of the Qing Dynasty (1644-1911) to the 1970s and 1980s. The novel won the Mao Dun Literature Prize, one of China's top literature awards, in 1997.
Zhou prefers literary works with historical depth and a keen eye for social change.
Regional economics may appear to be concerned with the spatial distribution of industries, population and resources, but at its heart, it is about how people live on a particular piece of land, and why some places flourish while others decline, he noted.
In this sense, literature and history are more than pastimes beyond professional research. They often help him understand the historical context, cultural traditions and social mentality that lie behind economic data, he said.
When reading novels, Zhou said that he often pays close attention to the relationship between people and the places they inhabit: How the land shapes the local character, how transportation transforms a region, and how shifts in industry reshape families and villages. Such details may not offer a direct conclusion, but they broaden a researcher's perspective. They also serve as a reminder that research should look beyond growth rates and statistical indicators to consider the sense of fulfillment experienced by ordinary people and the dignity of human beings.
Understanding ourselves
Once, while tidying his study, he came across a book filled with notes he had scribbled in his early years. Among them was a question that particularly caught his attention: "In the face of sweeping changes in the times and profound social transformation, what can a person truly determine for himself?"
Looking at those words he had written in his youth was like coming face to face with the person he had been decades ago.
Reading is not simply the act of understanding a book; it is also a record of a person's own growth, he said. The same book can reveal something entirely different when read at different stages of life.
When we are young, we turn to books in search of answers; but when we become seasoned, we read more to understand life, to understand others, and ultimately, to better understand ourselves, Zhou said.
In this era of fragmented information, AI can help people access information quickly, organize materials, and gain a basic understanding of unfamiliar fields. Yet deep reading, Zhou said, allows people to see how a conclusion is reached — what evidence supports it, where its boundaries lie, and what alternative interpretations it may invite.
What truly shapes a person, after all, is not how much information they have browsed, but the words that have made them pause and reflect - and the words that have remained with them for many years, he added.
。

　一键部署OpenClaw 身处AGI浪潮中，我们每天都被各种大模型刷屏：代码生成、文档分析、智能对话……它们正在重塑我们的工作方式。但作为开发者，想真正把这些顶尖模型用起来，往往会碰到几个头疼的问题： - API门槛高：不同平台得分别申请Key，流程繁琐。 -成本压力大：GPT、Claude等顶级模型的调用费用，对个人开发者和小项目是笔不小的开销。 -模型太分散：想同时测Kimi的长文本、GLM的综合能力、DeepSeek的代码实力，就得维护好几套代码和配置，费时费力。

B | 最近上线的七牛云AI大模型推理平台，刚好能一次性解决这些问题，对我们开发者来说是个很实在的福利。一句话：一个平台，免费畅玩所有顶尖大模型 七牛云这次把市面上最热门的大模型都整合到了一起，提供统一的API接口来调用。

C |

看一眼模型阵容： Deepseek-v4-Pro-202606：【原厂版】DeepSeek V4 Pro是DeepSeek推出的大规模混合专家（Mixture-of-Experts）模型，总参数量达1.6万亿，每次前向传播激活490亿参数，支持长达100万token的上下文窗口 Minimax-M3：MiniMax-M3是MiniMax推出的多模态基础模型。它支持文本、图像和视频输入，输出文本，具备100万token的上下文窗口，适用于长周期智能体工作、编程和工具使用。 GLM-5.2：智谱旗舰系列，深度推理能力，适合复杂逻辑、长文本理解、代码生成等高难度任务。 Kimi K3：月之暗面长文本专家，K3系列综合能力强劲，2.8 万亿参数，仅仅是这个数字就已经足够炸裂——这不仅是目前全球参数规模最大的开源模型，更意味着 MoE（混合专家）架构在大规模稀疏化训练上又迈出了一大步。 Qwen3全系：通义千问3代，覆盖235B到Turbo轻量版，开源生态完善，中文能力顶尖。 豆包Doubao：字节跳动旗下模型，Seed 2.0系列全面升级，多模态能力突出，响应速度快。 兼容性说明：七牛云同时兼容OpenAI API和Anthropic API两种格式，无论你用Python、Node.js、Go还是任何主流语言，都能无缝迁移。 福利：免费300万Tokens 现在通过下方链接注册新用户，直接到账**300万Tokens**免费额度。 300万Tokens什么概念？ -足够几百次甚至上千次复杂编程问答或代码生成 -能处理近200万汉字的文本量，相当于读完几本厚书 -足够把一个AI应用从Demo开发到原型上线，前期成本直接清零这对想学AI开发、测试不同模型效果、或手上有实际项目的同学来说，都是个不错的机会。 怎么领？ 两步就行： 1.点击专属链接：`https://s.qiniu.com/ZnqURj 2.完成注册或登录，300万Tokens自动到账 没有套路。总结七牛云这个推理平台，模型覆盖、免费额度和开发者体验都做得不错。对使用者来说，是零成本体验主流大模型的入口；对分享者，也是个能同步创造收益的靠谱渠道。