Accelerating and automating science and research is one of the noblest pursuits right now. We need t...
TL;DR · AI 摘要
Richard Socher与Zechen Zhang在X上讨论用AI加速科研，主张超越词向量/句子嵌入，构建覆盖整个科学认知流程的联合训练系统，但原文仅为碎片化观点，无实证、架构或方法细节。
核心要点
- 科研自动化需从语义单元升级到‘整个科学认知层’的联合建模
- 论文格式（PDF线性叙事）是历史产物，非科学本质载体
- AI领域进展快于其他学科，因其更易实现工具链闭环与迭代
结构提纲
按章节快速跳转。
思维导图
用一张图看清主题之间的关系。
查看大纲文本（无障碍 / 无 JS 友好）
- AI驱动的科研范式重构
- 建模尺度跃迁
- 词向量 → 句子嵌入 → 问答模型 → 元科学系统
- 媒介批判
- PDF论文是历史 artifact，非科学本质
- 领域差异根源
- AI具工具闭环与快速迭代特性
金句 / Highlights
值得收藏与分享的关键句。
We need to jointly train not just single meaning units like word vectors, not just embed all sentences, not only train one model to be prompted by any question, but ideally the entire scientific endea
For nearly 350 years, science has communicated itself through one object: the paper. A linear narrative, frozen as a PDF, written for a human reader. We've come to treat that format as the medium of s
This type of acceleration is also exemplary for why computer science and AI move faster than many other fields.
We need to jointly train not just single meaning units like word vectors, not just embed all sentences, not only train one model to be prompted by any question, but ideally the entire" / X
Richard Socher on X: "Accelerating and automating science and research is one of the noblest pursuits right now. We need to jointly train not just single meaning units like word vectors, not just embed all sentences, not only train one model to be prompted by any question, but ideally the entire" / X
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Accelerating and automating science and research is one of the noblest pursuits right now. We need to jointly train not just single meaning units like word vectors, not just embed all sentences, not only train one model to be prompted by any question, but ideally the entire scientific endeavor - the meta cognitive layer of science and its communities. This paper is a useful step towards this. This type of acceleration is also exemplary for why computer science and AI move faster than many other fields.
Quote
@ZechenZhang5
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Apr 30
1/ For nearly 350 years, science has communicated itself through one object: the paper. A linear narrative, frozen as a PDF, written for a human reader. We've come to treat that format as the medium of science itself. It doesn't have to be. It's a historical artifact. 
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