language models (LLMs) that – in effect – found freedom with the November 2022 launch of OpenAI’s ChatGPT with its extremely easy-to-use / speedy user interface. In addition, relatively new AI company founders making new tech advances increasingly more powerful, accessible, and economically viable. OpenAI’s ChatGPT – based on user / usage / monetization metrics – is history’s biggest ‘overnight’ success (nine years Internet 1.0 revolution – where technology started in the USA and steadily diffused globally – ChatGPT hit the world stage all at once, growing in most global regions simultaneously. Meanwhile, platform

developing new models and capabilities. Our Applied Team turns those models into products, like ChatGPT Enterprise and our API. And our Deployment Team takes these products into companies to address closely with Legal, Compliance, and IT Security teams to ensure responsible use. They rolled out ChatGPT Enterprise globally, then let people discover their own use cases. “Normally, in a business like hours. The impact was felt across many disciplines and departments: The Credit Risk team Uses ChatGPT to determine creditworthiness faster and 
 more accurately. The Legal team Uses it to answer 40

53Linear search 54Principle #4: “Simplicity is the ultimate sophistication” 55 Source: ChatGPT56 Source: ChatGPT Principle #5: “Mechanical sympathy”I-Cache misses – likely/unlikely attributes 57 template Fan-out Type Support? PODsPrinciple #7: “Choose the right tool for the right task” 83 Source: ChatGPT84 FastQueue – Design Data available for readers mReadCounter mWriteCounter85 FastQueue – Design Results on AMD EPYC 9474FPrinciple #4: “Simplicity is the ultimate sophistication” 106 Source: ChatGPT107 Going further – Zero copy struct QProducer { void Write(std::span buffer); };108

specific code • Hand-optimize cache lines and struct layout 6How can we improve it? • We could ask ChatGPT… 7 That’s cool, but it won’t get us very far…How can we improve it? (second try) • At its core philosophy: 1. “Transform packages” 2. Compile time functional programming 3. Use modern C++ features as ChatGPT suggested • Now you should be able to write code with it. 27Let’s write some code… • Objectives

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12 Output the median after the samples are collected3ChatGPT 4ChatGPT 5Median #include #include #include auto median(std::vector& v) { std::ranges::sort(v);

talk: "C++ Modules: The Challenges of Implementing Header Units" From C++ Now 20239 Ask ChatGPT 202310 Ask ChatGPT 2024Simple Module 11 export module B; export void b() { }Built Module Interface (BMI)

R1形成了新的AGI定律，加速了AGI发展 Alpha Zero时刻 • Alpha Go采用监督学习， 使用人类棋谱训练 • Alpha Zero采用强化学习， 自己跟自己对弈 ChatGPT时刻 • OpenAI ChatGPT大模型， 通过预训练方式，实现涌 现，理解人类语言和知识 • 诞生预训练Scaling Law Deepseek-R1时刻 • o1采用强化学习，但训练复 杂推理能力，技术未公开

new ones is a process - it takes timestep 4: apply time constraints 1. length of talk is finite (chatgpt suggests 10-15 slides for a 15 minute presentation, but I've got 26) 2. your time to prepare a

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