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昨天以前Yi's Blog

三年LLM:过去和未来

作者 Yi Cao
2026年3月28日 13:00
OpenAI的ChatGPT于2022年年底发布。得益于境外手机号接码渠道,我第一时间就用上并惊叹于人工智能的突破。一转眼,LLM在过去的三年里已无可辩驳地渗透至千家万户。 一小段历史 Transformer模型最早于2017年由谷歌提出,核心思路是通过Self-Attention机制显式地表达词语之间语义联系1。OpenAI在2018年首次发布GPT-1模型,将架构简化为Decoder-only的Autoregressive词语预测2。自此,LLM的总体架构尘埃落定,后续的GPT-2、GPT-3等皆在此基础上扩展模型大小和数据集的规模。不仅局限于文字,Transformer在视觉领域表现也很好3。为何大模型能够涌现出强大的能力仍不得而知。Anthropic于2021年在一个极度简化的模型中发现了Induction Heads结构4,但如同生物学第一次发现红细胞,我们离真正理解L...

Color Recreation from First Principles

作者 Yi Cao
2025年12月8日 08:00
Abstract: This article provides a gentle derivation showing the existence of a simple, measurable linear relationship between the LMS color model as in human vision and RAW camera sensor data and the RGB values as in displays and jpg/png/etc. images. Real world colors are continuous spectra, such as the sunlight spectrum. We can describe it as a continuous function $J(\lambda)$ where $\lambda$...

《死亡搁浅》玩后感及艺术评论思考

作者 Yi Cao
2025年11月16日 04:00
今日通关了《死亡搁浅》,不得不提,在游玩时我本以为这是后疫情作品在反思疫情隔离,没想到实际上游戏刚好于19年发售,真是巧合。 《死亡搁浅》最独到的地方,在于实现了作者表达、剧情和游戏性的统一。小岛秀夫的主要创作意图是体现人与人之间互帮互助的重要性,游戏的剧情便是Sam作为“送货人”将后末日世界中支离破碎的美国重新连接。创新点在于,游戏的核心玩法——送货——直接服务于这一主题。它无时无刻不在用“送货的艰辛”与“其他玩家留下的建筑所带来的帮助”形成鲜明对比,点赞系统也让玩家在帮助他人时获得反馈,大多数玩家都有类似的情感经验(举例1)。 《死亡搁浅》的评价不出意料地出现分歧,主要集中在游戏性不强,玩法单一。23Sylvester在他的《游戏设计》中提出,游戏是“体验生成引擎”4,也就是用游戏独有的交互性(机制、系统)生成特定的体验(experience)。《死亡搁浅》的游戏性争议来源于...

Review on ASUS Zenbook S14 Laptop (LNL) with Linux

作者 Yi Cao
2025年5月2日 23:00
I am trying to pick a laptop that is as close to Macbook Mx Airs as possible - light, low power consumption and long battery life, with the only exception of not being an Apple device123 - for the upcoming coursework. As for the chip itself, the closest I can get is Intel’s Lunar Lake CPUs whose successor unfortunatelly Intel will not develop due to their management incompetentness. Among all L...

LLM will NEVER be AGI: The Proof

作者 Yi Cao
2024年8月20日 21:00
The proof is trivial with a little help of a necessary condition of complexity theories. All LLM runs under the complexity of $O(n)$, where $n$ is the length of the output. Suppose LLM is AGI, then it is able to solve any problem that a human can solve. Consider the following problem: Given a string $s$ of length $n$, determine whether $s$ is a palindrome. Answer “Y” if it is and “N” if it...

Visiting NASA Goddard Space Flight Center

作者 Yi Cao
2023年8月2日 08:00
I have visited NASA Goddard Space Flight Center on August 1st, 2023. It’s a great experience to see the real spacecrafts and the people behind them. What’s more exciting is that photos are allowed in the visitor center, so I can share some of them here. This is the dustless clean room where the spacecrafts are assembled. The air is filtered to remove dust and other particles. The temperature...

An Introduction to Lambda Calculus

作者 Yi Cao
2023年2月9日 22:00
Introduction Who doesn’t like simplicity! To me simplicity is not only a preference but a belief. I always has a werid feeling that only the simple things last. In the world of calculation, the most simple thing might be a Turing machine, a mathematical model of computation that is capable of implementing any algorithm using a tape, a head, a state and instructions. However besides the tape s...
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