This is The Entire Computer Science Curriculum in 1000 YouTube Videos
This is The Entire Computer Science Curriculum in 1000 YouTube Videos In this article, we are going to create an entire Computer Science curriculum using only YouTube videos. The Computer Science curriculum is going to cover every skill essential for a Computer Science Engineer that has expertise in Artificial Intelligence and its subfields, like: Machine Learning, Deep Learning, Computer Vision,
Prompt Engineering
Date: March 15, 2023 | Estimated Reading Time: 21 min | Author: Lilian Weng Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy experimentation a
Golang Mini Reference 2022: A Quick Guide to the Modern Go Programming Language (REVIEW COPY)
Golang Mini Reference 2022 A Quick Guide to the Modern Go Programming Language (REVIEW COPY) Harry Yoon Version 0.9.0, 2022-08-24 REVIEW COPY This is review copy, not to be shared or distributed to others. Please forward any feedback or comments to the author. • feedback@codingbookspress.com The book is tentatively scheduled to be published on September 14th, 2022. We hope that when the release da
Parsing SQL - Strumenta
The code for this tutorial is on GitHub: parsing-sql SQL is a language to handle data in a relational database. If you worked with data you have probably worked with SQL. In this article we will talk about parsing SQL. It is in the same league of HTML: maybe you never learned it formally but you kind of know how to use it. That is great because if you know SQL, you know how to handle data. However
こんにちは。Fintech SREの佐藤隆広(@T)です。 この記事は、Merpay & Mercoin Tech Openness Month 2025 の11日目の記事です。 Google社が提唱し、Site Reliability Engineering Bookによって広く知られるようになったSREの信頼性マネジメントは、開発と運用の関係性を再定義し、SLI/SLOとエラーバジェットに始まり、Availability・Latency・エラーレート・トラフィック・リソース飽和度・耐久性といったような指標で補強されてきました。 ところが近年、大規模言語モデル（LLM）の進歩が著しく、サービスにLLMを利用する機会が増えることによって、 プロンプトを数行変えただけで回答品質が変動する Latencyやエラーレートが良好でも幻覚（ハルシネーション）が急増する モデルの軽微なアップデートで回
I want to write a post about Pitchfork, explaining where it comes from, why it is like it is, and how I see its future. But before I can get to that, I think I need to share my mental model on a few things, in this case, Ruby’s GVL. For quite a long time, it has been said that Rails applications are mostly IO-bound, hence Ruby’s GVL isn’t that big of a deal and that has influenced the design of so
The Andrej Karpathy episode. Andrej explains why reinforcement learning is terrible (but everything else is much worse), why model collapse prevents LLMs from learning the way humans do, why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education. Watch on YouTube; listen on Apple Podcasts or Spotify
Boring Python: code quality
Boring Python: code quality December 19, 2022 Django, Python This is the second in a series of posts I intend to write about how to build, deploy, and manage Python applications in as boring a way as possible. In the first post in the series I gave a definition of what I mean by “boring”, and it’s worth revisiting: I don’t mean “reliable” or “bug-free” or “no incidents”. While there is some overla
August 19, 2021 Hello! Recently I’ve been thinking about why I explain things the way I do. The usual way I write is: Try to learn a topic Read a bunch of explanations that I find confusing Eventually understand the topic Write an explanation that makes sense to me, to help others So why do I find all these explanations so confusing? I decided to try and find out! I came up with a list of 13 patte
I did this in 2020 and then again in 2021, but I’m in the mood to look around again. Let’s look through Are We GUI Yet? and see what’s up these days. The task today is to have a text label and an input field that can change the text in the label. In React, for example, this is basically free: const Demo = () => { let [state, setState] = useState("Hello, world!"); return ( <div> <p>{state}</p> <inp
Liberation Without Victory
In a wide-ranging conversation at his compound in Kyiv, Ukrainian President Volodymyr Zelensky tells The Atlantic what Ukraine needs to survive—and describes the price it has paid. Kyiv is halfway normal now. Burnt-out Russian tanks have been removed from the roads leading into the city, traffic lights work, the subway runs, oranges are available for purchase. A cheerful folk orchestra was perform
Flipping Pages: An analysis of a new Linux vulnerability in nf_tables and hardened exploitation techniques
This blogpost is the next instalment of my series of hands-on no-boilerplate vulnerability research blogposts, intended for time-travellers in the future who want to do Linux kernel vulnerability research. Specifically, I hope beginners will learn from my VR workflow and the seasoned researchers will learn from my techniques. In this blogpost, I'm discussing a bug I found in nf_tables in the Linux
LambdaLisp - A Lisp Interpreter That Runs on Lambda Calculus
LambdaLisp is a Lisp interpreter written as an untyped lambda calculus term. The input and output text is encoded into closed lambda terms using the Mogensen-Scott encoding, so the entire computation process solely consists of the beta-reduction of lambda calculus terms. When run on a lambda calculus interpreter that runs on the terminal, it presents a REPL where you can interactively define and e
Python behind the scenes #12: how async/await works in Python
Mark functions as async. Call them with await. All of a sudden, your program becomes asynchronous – it can do useful things while it waits for other things, such as I/O operations, to complete. Code written in the async/await style looks like regular synchronous code but works very differently. To understand how it works, one should be familiar with many non-trivial concepts including concurrency,
Docker optimization guide: the 12 best tips to optimize Docker image security
You should always build and push images in a clean environment, e.g. a CI/CD pipeline, where the build agent clones your repository into a new directory. The problem with using your local development machine for building is that your local “working tree” of the Git repository might be dirty. For instance, it might contain files with secrets that you need during development, e.g. access keys to sta
In the Stack overflow 2020 survey, Rust was picked as #1 most loved programming language, thanks to 86% of developers who said they would continue using it. For the language creators, this is nothing new – Rust has been winning the survey ever since 2016. On Tiobe Index, Rust is rising in popularity as well – achieving #18 positions among the most popular languages in September. It also didn’t fai
Patching GCC to build Actually Portable Executables | Blog Needs a Name
Patching GCC to build Actually Portable Executables2023-07-13: I wrote a ~2000-line gcc patch to simplify building Actually Portable Executables with Cosmopolitan Libc. Now you can build popular software such as bash, curl, git, ninja, and even gcc itself, with Cosmopolitan Libc via the ./configure or cmake build system, without having to change source code, and the built executables should run on
Rill | The Open Table Format Revolution: Why Hyperscalers Are Betting on Managed Iceberg
Wondering why open table formats are suddenly booming? Why is AWS investing heavily in making Iceberg tables on S3, and why did Databricks pay a reported $2B to acquire Tabular? The answers might change how we think about data architecture. Historically, object storage like Amazon S3 or R2 was used as inexpensive, scalable storage for unstructured files, while structured data typically went to dat
Languages don't enjoy long lives. Very few people still code with the legacies of the 1970s: ML, Pascal, Scheme, Smalltalk. (The C language is still widely used but in significantly updated versions.) Bucking that trend, the 1977 Unix utility Awk can boast of a loyal band of users and seems poised to continue far into the future. In this article, I’ll explain what makes Awk special and keeps it re
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SRE2.0: LLMサービスの信頼性を測る新しい評価指標の紹介 | メルカリエンジニアリング
So You Want To Remove The GVL?
Andrej Karpathy — AGI is still a decade away
Patterns in confusing explanations
A 2025 Survey of Rust GUI Libraries
5 Reasons Why Rust Is The Future
Awk: The Power and Promise of a 40-Year-Old Language