提示:这不是一个针对聊天和普通问题对齐的模型。Tips: This is not a model aligned for chat and general questions

#48
by Cran-May - opened

Gemini-2.5-Pro总结:
“对于 DeepSeek-Prover-V2-671B 这样 高度专业化 且 规模巨大 的模型,普通人 直接、日常地使用它会比较困难,甚至可以说不太现实。原因如下:

专业领域限制: 它的核心功能是数学定理证明和高级逻辑推理。普通人的日常生活中很少遇到需要形式化证明数学定理或进行复杂符号逻辑推演的场景。它不是像 ChatGPT 或 DeepSeek 的通用大模型那样,可以用来聊天、写作、翻译、回答常识问题等。

使用门槛高:

输入要求: 与这类模型交互,通常需要用户能够用精确的数学语言或特定的形式化语言(如 Lean、Coq、Isabelle/HOL 等证明助手的语法)来描述问题或定理。这对没有经过专门训练的普通用户来说门槛极高。

理解输出: 模型生成的证明步骤或推理过程也可能是形式化的、高度技术性的,普通用户难以理解和验证其正确性。

计算资源需求: 运行一个 671B 参数的模型需要极其强大的计算资源(顶级 GPU 集群),普通用户的个人设备完全无法承担。即使通过 API 访问,也可能需要付费,并且需要一定的技术知识来调用和集成。

缺乏通用交互界面: 这类专业模型通常不会像通用聊天机器人那样提供一个简单易用的图形界面或对话界面。其接口往往是为研究人员和开发者设计的,更侧重于功能性和精确性,而非用户友好性。

那么,普通人完全无法接触或受益于它吗?也不一定,但方式是间接的:

通过教育和科普:

如果 DeepSeek 或其他机构基于这个模型开发出 简化版、有特定教学目的的工具或演示,例如用于教授逻辑学基础、展示简单数学定理的证明过程,那么对数学和逻辑感兴趣的普通人或学生或许可以通过这些 专门设计的应用 来体验其能力的一部分。但这需要额外的开发工作,将复杂模型包装在易用的外壳中。

通过集成应用:

未来可能会出现一些 更高级的应用程序(例如下一代科学计算软件、高级教育平台、复杂的系统设计工具),它们 在后台调用 类似 DeepSeek-Prover 的模型来增强其功能(如自动验证、智能推理辅助)。普通用户在使用这些应用程序时,间接受益于 Prover 模型的能力,但并不会直接与之交互。

通过科学和技术的进步:

研究人员使用这类工具在数学、计算机科学等领域取得突破,最终会转化为更可靠的技术、更先进的产品或更深入的科学理解,从而 间接地惠及整个社会,包括普通人。例如,通过形式化验证提高软件安全性,最终让用户使用的软件更不容易出错。

总结来说:

DeepSeek-Prover-V2-671B 是一个 面向专家和研究人员的尖端工具,用于解决高度专业的数学和逻辑问题。普通人 几乎不可能像使用通用聊天机器人那样直接使用它。普通用户更可能通过 专门开发的教育应用、集成了其能力的下游软件,或者因其推动的科技进步而间接受益。

如果你对数学证明或逻辑推理本身有浓厚兴趣并愿意学习相关的专业知识(比如学习 Lean 等形式化语言),那么未来或许可以通过特定的平台或接口尝试使用它来解决一些你能精确描述的问题,但这已经超出了“普通人日常使用”的范畴。”

Summary(Gemini-2.5-Pro):
"How Can an Ordinary Person Use DeepSeek-Prover-V2-671B?

For the average person, directly and routinely using a highly specialized and massive model like DeepSeek-Prover-V2-671B is generally impractical and unrealistic. Here's why:

Highly Specialized Domain: Its core function is mathematical theorem proving and advanced logical reasoning. This is very different from general-purpose AI models (like ChatGPT or DeepSeek's general model) used for chatting, writing, translation, or answering common knowledge questions. Most people don't encounter tasks requiring formal mathematical proofs or complex symbolic logic deduction in their daily lives.

High Barrier to Entry:

Input Requirements: Interacting effectively with such a model typically requires users to formulate problems or theorems using precise mathematical notation or specific formal languages (like Lean, Coq, Isabelle/HOL – languages used by proof assistants). This demands specialized training that most people don't have.

Understanding Output: The proofs or reasoning steps generated by the model are often formal, technical, and dense. Understanding and verifying their correctness requires expertise in the relevant mathematical or logical domain.

Computational Resource Demands: Running a 671-billion-parameter model requires immense computational power (think top-tier GPU clusters), far beyond what's available on personal computers. Even if accessed via an API, it would likely involve costs and require technical skills to implement and use.

Lack of General User Interface: These specialized models usually don't come with the easy-to-use graphical or conversational interfaces found in general AI chatbots. Their interfaces are typically designed for researchers and developers, focusing on functionality and precision rather than broad user-friendliness.

So, can an ordinary person benefit from it at all?

Yes, but likely indirectly:

Through Educational Tools and Demonstrations: It's possible that DeepSeek or other organizations might create simplified versions or specific educational applications based on this model. For example, tools designed to teach basic logic, demonstrate how simple mathematical theorems are proven, or provide interactive learning experiences. In this case, interested individuals or students could experience a fraction of its capabilities through these purpose-built applications, which would wrap the complex model in a user-friendly layer.

Via Integrated Applications: In the future, more advanced software applications (e.g., next-generation scientific computing software, sophisticated educational platforms, complex system design tools) might incorporate models like DeepSeek-Prover in the background. These applications could use the Prover's power for features like automated verification, intelligent reasoning assistance, or consistency checking. Users of these applications would benefit from the enhanced capabilities without needing to interact with the Prover model directly.

Through Scientific and Technological Advancement: Researchers using tools like DeepSeek-Prover to achieve breakthroughs in mathematics, computer science, formal verification, etc., contribute to progress. This progress eventually translates into more reliable technology (e.g., safer software, more secure hardware), advanced products, or a deeper scientific understanding, which indirectly benefits society as a whole, including ordinary people.

In Summary:

DeepSeek-Prover-V2-671B is a cutting-edge tool designed for experts and researchers focused on highly specialized tasks in mathematics and logic. It's not intended for direct, everyday use by the general public in the way one might use a general AI assistant. Benefits for ordinary people are more likely to be indirect, stemming from dedicated educational applications, future software that integrates its capabilities behind the scenes, or the long-term impact of the scientific and technological progress it helps enable. Direct use would necessitate acquiring significant specialized knowledge (in areas like formal methods or advanced mathematics), placing it outside the scope of typical 'ordinary user' scenarios."

Cran-May changed discussion title from 提示:这**不是**一个针对聊天和普通问题对齐的模型。Tips: This is **not** a model aligned for chat and general questions to 提示:这不是一个针对聊天和普通问题对齐的模型。Tips: This is not a model aligned for chat and general questions
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