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,
I left OpenAI three weeks ago. I had joined the company back in May 2024. I wanted to share my reflections because there's a lot of smoke and noise around what OpenAI is doing, but not a lot of first-hand accounts of what the culture of working there actually feels like. Nabeel Qureshi has an amazing post called Reflections on Palantir, where he ruminates on what made Palantir special. I wanted to
Mojo may be the biggest programming language advance in decades – fast.ai
I remember the first time I used the v1.0 of Visual Basic. Back then, it was a program for DOS. Before it, writing programs was extremely complex and I’d never managed to make much progress beyond the most basic toy applications. But with VB, I drew a button on the screen, typed in a single line of code that I wanted to run when that button was clicked, and I had a complete application I could now
Python open source libraries for scaling time series forecasting solutions
By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley. In the first and second articles in this series, I showed how to perform feature engineering on time series data with Python and how to automate the Machine Learning lifecycle for time series forecasting. In this third and concluding article,
Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro
I first learned Kubernetes ("k8s" for short) in 2018, when my manager sat me down and said "Cloudflare is migrating to Kubernetes, and you're handling our team's migration." This was slightly terrifying to me, because I was a good programmer and a mediocre engineer. I knew how to write code, but I didn't know how to deploy it, or monitor it in production. My computer science degree had taught me a
Beyond the 70%: Maximizing the human 30% of AI-assisted coding
This is a follow-up to my article “The 70% problem: Hard truths about AI-assisted coding” AI coding assistants like Cursor, Cline, Copilot and WindSurf have transformed how software is built, shouldering much of the grunt work and boilerplate. Yet, as experienced developers and industry leaders note, there remains a crucial portion of software engineering that AI does not handle well – roughly tha
Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b
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
Deep Research再現実装をDeep Research以上に詳しく検証してみた - AKARI Tech Blog
はじめに こんばんは！ 今週のAKARI Tech Blogは、DX Solution 事業本部 Dev の許が担当いたします。 先日OpenAIが「Deep Research」を公開し、その驚異的な文献調査能力が話題となりましたね！ 皆様使っていますでしょうか。 これまでひいこら言いながらインターネット検索していた時代と比べると、「Deep Research お願いします！」で、それなりの分析レポートが出てくることに隔世の感を感じますね。 これだけ性能の良いものが出てきた以上、仕組みが気になるところ。できることなら、自分たちでも再現実装してみたい！ しかし例によってOpenAIは実装をオープンにはしてくれない……。 そこで登場するのが、Deep ResearchのOSS再現プロジェクトたち！ まずは Deep ResearchにOpenな再現実装について聞いてみましょうか。 ChatGP
In "Software Engineering - The Soft Parts" Addy Osmani shares lessons from his first 10 years at Google on the "soft skills" that can help engineers become effective and scale their effectiveness. This guidance should help junior, mid-career and even senior developers move forward, deal with changing technology, and navigate building non-trivial systems. Today I'll share some of the software engin
戦略ファーム時代に読んだ700冊程度の本をまとめています*随時更新 戦略ファーム時代に読んだ700冊程度の本をまとめています I. 戦略 企業参謀 https://amzn.to/44iKVxM 当初、いまいち戦略というものが掴めきれず迷子になっていた時に「大前研一はこれだけ読め」と教わった本。大量に出ている他の大前本を読まなくて済むのが見過ごせない大きな価値 戦略サファリ 第2版 https://amzn.to/3csZg0t 経営戦略の本を読み漁るも、実プロジェクトの方が全くもって学びになるという普通の感想をもち、俯瞰での戦略論を求めるようになる。いやあ懐かしい 企業戦略論【上】基本編 競争優位の構築と持続 Jay Barney https://amzn.to/3dJjVxB 任天堂の戦略の妙に気が付きはじめ、ベースか似通ったものはないだろうかと思うようになった時にJay Barney
Fantastic Learning Resources Aug 6, 2023 People sometimes ask me: “Alex, how do I learn X?”. This article is a compilation of advice I usually give. This is “things that worked for me” rather than “the most awesome things on earth”. I do consider every item on the list to be fantastic though, and I am forever grateful to people putting these resources together. Learning to Code I don’t think I hav
Manuel Cerón
Last year I finally decided to learn some Rust. The official book by Steve Klabnik and Carol Nichols is excellent, but even after reading it and working on some small code exercises, I felt that I needed more to really understand the language. I wanted to work on a small project to get some hands-on experience, but most of my ideas didn’t feel very well suited for Rust. Then I started reading the
I’m a fairly frequent Hacker News lurker, especially when I have some other important task that I’m avoiding. I normally head to the Active page (lots of comments, good for procrastination) and pick a nice long discussion thread to browse. So over time I’ve ended up with a good sense of what topics come up a lot. “The Bay Area is too expensive.” “There are too many JavaScript frameworks.” “Bootcam
prompts.chat
Welcome to the “Awesome ChatGPT Prompts” repository! While this collection was originally created for ChatGPT, these prompts work great with other AI models like Claude, Gemini, Hugging Face Chat, Llama, Mistral, and more. ChatGPT is a web interface created by OpenAI that provides access to their GPT (Generative Pre-trained Transformer) language models. The underlying models, like GPT-4o and GPT-o
This article is a translation, the original version is available here. I started using the OCaml language regularly around 2012, and since then, my interest and enthusiasm for this language have only grown. It has become my preferred choice for almost all my personal projects, and it has also influenced my professional choices. Since 2014, I have been actively participating in public conferences d
Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me
Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y
Large Text Compression Benchmark Matt Mahoney Last update: July 3, 2025. history This competition ranks lossless data compression programs by the compressed size (including the size of the decompression program) of the first 109 bytes of the XML text dump of the English version of Wikipedia on Mar. 3, 2006. About the test data. The goal of this benchmark is not to find the best overall compressi
From Common Lisp to Julia
This post explains my reasoning for migrating from Common Lisp to Julia as my primary programming language, after a few people have asked me to elaborate. This article is the product of my experiences and opinions, and may not reflect your own. Both languages are very well designed, and work well, so I encourage you to do your own research and form your own opinions about which programming languag
This post is based on my RustNationUK ‘24 talk with the same title. The talk video is on youtube, the slides are served from here. Also, here’s the lyrics of the song I introduced the talk with (sung to the tune of Bob Dylan’s “The times, they are a-changin’”): Come gather Rustaceans wherever you roam and admit that our numbers have steadily grown. The community’s awesomeness ain’t set in stone, s
Here is a list of common data engineering interview questions, with answers, which you may encounter for an interview as a data engineer. The questions during an interview for a data engineer aim to check not only the grasp of data systems and architectures but also a keen understanding of your technical prowess and problem-solving skills. This article lists essential interview questions and answe
A History of Clojure
71 A History of Clojure RICH HICKEY, Cognitect, Inc., USA Shepherd: Mira Mezini, Technische Universität Darmstadt, Germany Clojure was designed to be a general-purpose, practical functional language, suitable for use by professionals wherever its host language, e.g., Java, would be. Initially designed in 2005 and released in 2007, Clojure is a dialect of Lisp, but is not a direct descendant of any
An AI-native software engineer is one who deeply integrates AI into their daily workflow, treating it as a partner to amplify their abilities. This requires a fundamental mindset shift. Instead of thinking “AI might replace me” an AI-native engineer asks for every task: “Could AI help me do this faster, better, or differently?”. The mindset is optimistic and proactive - you see AI as a multiplier
In 2023, we launched an AI-powered Chief of Staff for engineering leaders—an assistant that unified information across team tools and tracked critical project developments. Within a year, we attracted 10,000 users, outperforming even deep-pocketed incumbents such as Salesforce and Slack AI. Here is an early demo: By May 2024, we realized something interesting: while our AI assistant was gaining tr
GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
ComfyUI-Gemini_Flash_2.0_Exp (⭐+172): A ComfyUI custom node that integrates Google's Gemini Flash 2.0 Experimental model, enabling multimodal analysis of text, images, video frames, and audio directly within ComfyUI workflows. ComfyUI-ACE_Plus (⭐+115): Custom nodes for various visual generation and editing tasks using ACE_Plus FFT Model. ComfyUI-Manager (⭐+113): ComfyUI-Manager itself is also a cu
[Simon Tatham, initial version 2023-09-01, last updated 2025-03-25] [Coroutines trilogy: C preprocessor | C++20 native | general philosophy ] Introduction Why I’m so enthusiastic about coroutines The objective view: what makes them useful? Versus explicit state machines Versus conventional threads The subjective view: why do I like them so much? “Teach the student when the student is ready” They s
Author: Youngjin Kang Date: August 25, 2024 Introduction As a fan of unconventional programming paradigms, I enjoy learning new programming languages which are drastically different from the typical object-oriented ones such as C#, Java, and the like. The most iconic of them are LISP (which is a powerful language for both functional programming as well as metalinguistic patterns in software deve
Premature optimisation might be the root of all evil, but overdue optimisation is the root of all frustration. No matter how fast hardware becomes, we find it easy to write programs which run too slow. Often this is not immediately apparent. Users can go for years without considering a program’s performance to be an issue before it suddenly becomes so — often in the space of a single working day.
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Reflections on OpenAI
Kalyn: a self-hosting compiler for x86-64
Solving common problems with Kubernetes
Andrej Karpathy — AGI is still a decade away
Software Engineering - The Soft Parts
Digital, digital and digital
Fantastic Learning Resources
Hacker News folk wisdom on visual programming
xvw.lol - Why I chose OCaml as my primary language
Why We Use Julia, 10 Years Later
What's New in Emacs 28.1?
Large Text Compression Benchmark
Easy Mode Rust — Llogiq on stuff
Data Engineer: Interview Questions
The AI-Native Software Engineer
Building AI Products—Part I: Back-end Architecture
Philosophy of coroutines
Game Programming in Prolog - Part 1
Laurence Tratt: Four Kinds of Optimisation