惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Troy Hunt's Blog
Scott Helme
Scott Helme
T
Threat Research - Cisco Blogs
T
Tenable Blog
L
LINUX DO - 热门话题
V
Visual Studio Blog
I
Intezer
Blog — PlanetScale
Blog — PlanetScale
Cisco Talos Blog
Cisco Talos Blog
A
Arctic Wolf
C
Cyber Attacks, Cyber Crime and Cyber Security
F
Fortinet All Blogs
aimingoo的专栏
aimingoo的专栏
Know Your Adversary
Know Your Adversary
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
N
Netflix TechBlog - Medium
SecWiki News
SecWiki News
I
InfoQ
Microsoft Security Blog
Microsoft Security Blog
Project Zero
Project Zero
W
WeLiveSecurity
Microsoft Azure Blog
Microsoft Azure Blog
A
About on SuperTechFans
Recorded Future
Recorded Future
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Vercel News
Vercel News
S
Securelist
Spread Privacy
Spread Privacy
L
LangChain Blog
云风的 BLOG
云风的 BLOG
G
Google Developers Blog
MongoDB | Blog
MongoDB | Blog
Google DeepMind News
Google DeepMind News
Recent Commits to openclaw:main
Recent Commits to openclaw:main
D
Darknet – Hacking Tools, Hacker News & Cyber Security
C
CERT Recently Published Vulnerability Notes
罗磊的独立博客
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
The Last Watchdog
The Last Watchdog
Attack and Defense Labs
Attack and Defense Labs
博客园 - 司徒正美
Help Net Security
Help Net Security
L
Lohrmann on Cybersecurity
人人都是产品经理
人人都是产品经理
Forbes - Security
Forbes - Security
Hacker News - Newest:
Hacker News - Newest: "LLM"
PCI Perspectives
PCI Perspectives
博客园 - 【当耐特】
T
Tor Project blog

Benson's blog

Enjoy life Internship AI on academic research How AI Will Change the Mobile Ecosystem Look ahead Goodbye 2025 Hacker News to Kindle Another project How to imporve english Introduction of Fraud detection PopTranslate Better idea between Copilot-typed and CLI-typed assistant Gemini-cli LLM Post-Training experience Papers I readed recently about LLM application Difference between LLMs and traditional computer technology GRPO Weekly-#26 AI Application Weekly-#25 AI infra and application Weekly-#24 First week as LLM inference engineer Weekly-#23 seeking job Weekly-#22 2025 New Year AutoSwitch Translate Goodbye 2024 Weekly-#20 Breaking of glass Cross Entropy Loss of Triton Weekly-#18 Cross Entropy Loss of Triton Weekly-#17 Triton Puzzles Weekly-#16 AutoBuilder Weekly-#15 Starting of tanble tennis Weekly-#14 Accident in life Weekly-#13 Trying of xiaohongshu Weekly-#12 summary of LLM acceleration Outline of LLM acceleration Weekly-#11 Copilot-type products Weekly-#10 Preparation for next journey Weekly-#9 Startup of YouTube Notes of flash-attention How to learn knowledge in new fields? Weekly-#8 Start Reading Notes of LoRA Acceleration of LLM - Matrix Multiplication Weekly-#8 Summary for two month Weekly-#7 Staying home Weekly-#6 Cost of PopTranslate Weekly-#5 Updating of PopTranslate Validated example of LLM acceleration Weekly-#4 First insight of LLM accelerate Weekly-#3 PopTranslate Weekly-#2 The fail of first product Weekly-#1 First week of indie develop slack迁移discord 雅思备考 2024Q3 中文博客合集 English Diary in May 五一游记 开始休假 离职前的状态 2024-01-01 duckdb 看懂的第一个PR learning english in October learning english in September learning english in August top hack news 收集 大模型调研 自动驾驶的小玩具 旅游 扬州+苏州 small talk of learning english 新年新气象-碎碎念 刷剧 感染新冠 强化学习简介 神经网络解释性 全局的模型无关解释方法合集 社区发现算法概览 图神经网络入门(GNN) 我的第一款 iOS APP AtCoder Beginner Contest 268 人的信息输入方式对比 重叠社区检测 人穷极一生到底在追求什么 重拾生活规划 社区发现算法 - Louvain 《幸福的方法》 读《人类简史》有感 妙峰山骑行 黑客帝国 特征交互 特征工程 累计局部效应图 模型解释性-PDP 模型解释性 Web3 入门科普 总结 2022.4 孪生网络做 query 相似度任务 学习 2022.4 Imagen DeBERTa 读论文 用CNN做query相似度任务
Last day in netease
Benson · 2025-08-22 · via Benson's blog

Today is the last day for me in netease, I don’t much as much feeling as that in baidu, on the one hand, I spend much more time in baidu, almose five days, one the other hand, that’s my first job, first time is always different.

What makes my surprise is yesterday, the boss, all people in my small group have a bye-bye lunch, leader and boss are both friendly even I only stay here over four month. This is a friendly team, we don’t have the rules of big tech company, like how to flattery for leaders, says some words what are needed but we don’t want. In the middle of lunch conversation, we talked about the flattery atmostphere in baidu, what made me surprise is that some people think flattery issues is more serious than I thought. In the last moment, I suddenly remembered that we don’t have a cheer up, so, I ask for one. Boss jokingly said that the ex-baiduer want a cheer in the end, I also realise that. Actually, it’s usually not my job in the common dinner. What makes me unforgottable is freedom and flexibility in this netease team, we totally dont have to care the reporting relationship in daily works and chatting, which makes the atmosphere great, maybe perfect.

In the back road from restaurant to company, I was told much information about last era of Internet and companies in that time. There are much opportunities in that era, there are so much products they can do, some of them became totally successful. I always like the story of history, especially sounded from a person how experience by himself/herself, it’s like Qin emperor teach me the history of Qin dynasty.

This post is licensed under CC BY 4.0 by the author.