xz-backdoor.md FAQ on the xz-utils backdoor (CVE-2024-3094) This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on. Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to
GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in
The end of classical computer science is coming, and most of us are dinosaurs waiting for the meteor to hit. I came of age in the 1980s, programming personal computers such as the Commodore VIC-20 and Apple ][e at home. Going on to study computer science (CS) in college and ultimately getting a Ph.D. at Berkeley, the bulk of my professional training was rooted in what I will call “classical” CS: p
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
There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper
What makes Claude Code so damn good (and how to recreate that magic in your agent)!?/ vivek / 2025-08-21 Claude Code is the most delightful AI agent/workflow I have used so far. Not only does it make targeted edits or vibe coding throwaway tools less annoying, using Claude Code makes me happy. It has enough autonomy to do interesting things, while not inducing a jarring loss of control like some o
Hypershell: A Type-Level DSL for Shell-Scripting in Rust | Context-Generic Programming
Discuss on Reddit, Lobsters, and Hacker News. Summary I am thrilled to introduce Hypershell, a modular, type-level domain-specific language (DSL) for writing shell-script-like programs in Rust. Hypershell is powered by context-generic programming (CGP), which makes it possible for users to extend or modify both the language syntax and semantics. Table of Contents Estimated reading time: 1~2 hours
Note: This blog post is also available as a documentation page on Transformers. Large Language Models (LLMs) such as GPT3/4, Falcon, and LLama are rapidly advancing in their ability to tackle human-centric tasks, establishing themselves as essential tools in modern knowledge-based industries. Deploying these models in real-world tasks remains challenging, however: To exhibit near-human text unders
Agents
Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “the study and design of rational agents.” The unprecedented capabilities of foundation models have opened the door to agentic applications that were previously unimaginabl
What used to take an entire development sprint now ships in a single afternoon. The numbers prove it: according to Stack Overflow's 2024 Developer Survey of over 65,000 developers, 76% are now using or planning to use AI coding assistants in their development process—up from 70% the previous year. The shift from "AI is a novelty" to "AI is how developers code" happened faster than anyone predicted
These last two sometimes are referred to as "8 bit" or "10 bit" respectively, especially when talking about videos. That means 8/10 bits per single color channel. TransparencySome image formats support an additional channel together with the red, green, and blue components: the alpha channel. The alpha channel determines how transparent a single pixel is, and it can have different bit-depths, it i
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
Introducing Apple’s On-Device and Server Foundation Models
At the 2024 , we introduced Apple Intelligence, a personal intelligence system integrated deeply into iOS 18, iPadOS 18, and macOS Sequoia. Apple Intelligence is comprised of multiple highly-capable generative models that are specialized for our users’ everyday tasks, and can adapt on the fly for their current activity. The foundation models built into Apple Intelligence have been fine-tuned for u
Unlock a new era of innovation with Windows Copilot Runtime and Copilot+ PCs
I am excited to be back at Build with the developer community this year. Over the last year, we have worked on reimagining Windows PCs and yesterday, we introduced the world to a new category of Windows PCs called Copilot+ PCs. Copilot+ PCs are the fastest, most intelligent Windows PCs ever with AI infused at every layer, starting with the world’s most powerful PC Neural Processing Units (NPUs) c
Everything a developer needs to know about Generative AI for SaaS
Everything a developer needs to know about Generative AI for SaaS Few months ago, I knew almost nothing about AI. I used ChatGPT and Co-Pilot (I'm civilized, after all), but a lot of the content around AI was Greek to me. Terms like models, transformers, training, inference, RAG, attention, and agents were unfamiliar. Last week, I have completed my first end-to-end AI-based product: AI Code Assist
A Second Conversation with Werner Vogels – Communications of the ACM
CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up When I joined Amazon in 1998, the company had a single U.S.-based website selling only books and running a monolithic C application on five servers, a handful of Berkeley DBs for key/va
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
How do you fit a 250kB dictionary in 64kB of RAM and still perform fast lookups? For reference, even with modern compression techniques like gzip -9, you can't compress this file below 85kB. In the 1970s, Douglas McIlroy faced this exact challenge while implementing the spell checker for Unix at AT&T. The constraints of the PDP-11 computer meant the entire dictionary needed to fit in just 64kB of
agent loop �� �p�� You are Manus, an AI agent created by the Manus team. You excel at the following tasks: 1. Information gathering, fact-checking, and documentation 2. Data processing, analysis, and visualization 3. Writing multi-chapter articles and in-depth research reports 4. Creating websites, applications, and tools 5. Using programming to solve various problems beyond development 6. Variou
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
DeepSeek FAQ
It’s Monday, January 27. Why haven’t you written about DeepSeek yet? I did! I wrote about R1 last Tuesday. I totally forgot about that. I take responsibility. I stand by the post, including the two biggest takeaways that I highlighted (emergent chain-of-thought via pure reinforcement learning, and the power of distillation), and I mentioned the low cost (which I expanded on in Sharp Tech) and chip
Annotated history of modern AI and deep neural networks
For a while, DanNet enjoyed a monopoly. From 2011 to 2012 it won every contest it entered, winning four of them in a row (15 May 2011, 6 Aug 2011, 1 Mar 2012, 10 Sep 2012).[GPUCNN5] In particular, at IJCNN 2011 in Silicon Valley, DanNet blew away the competition and achieved the first superhuman visual pattern recognition[DAN1] in an international contest. DanNet was also the first deep CNN to win
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
What's new in Azure OpenAI in Azure AI Foundry Models?
This article provides a summary of the latest releases and major documentation updates for Azure OpenAI. August 2025 GPT-5 models available gpt-5, gpt-5-mini, gpt-5-nano To learn more, see the getting started with reasoning models page. gpt-5-chat is now available. To learn more, see the models page Registration is required for access to the gpt-5 model. gpt-5-mini, gpt-5-nano, and gpt-5-chat do n
The Second Half
tldr: We’re at AI’s halftime. For decades, AI has largely been about developing new training methods and models. And it worked: from beating world champions at chess and Go, surpassing most humans on the SAT and bar exams, to earning IMO and IOI gold medals. Behind these milestones in the history book — DeepBlue, AlphaGo, GPT-4, and the o-series — are fundamental innovations in AI methods: search,
What We’ve Learned From A Year of Building with LLMs – Applied LLMs
A practical guide to building successful LLM products, covering the tactical, operational, and strategic. It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. And they’re getting better and cheaper every year. Coupled with a parade of demos on social media, there will be an estimated $200B investment in AI
We now live in a world where ML workflows (pre-training, post training, etc) are heterogeneous, must contend with hardware failures, are increasingly asynchronous and highly dynamic. Traditionally, PyTorch has relied on an HPC-style multi-controller model, where multiple copies of the same script are launched across different machines, each running its own instance of the application (often refer
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
No trial. No credit card required. Just your GitHub account. I am excited to announce that C# 11 is out! As always, C# opens some entirely new fronts, even while advancing several themes that have been in motion over past releases. There are many features and many details, which are beautifully covered under What’s new in C# 11 on our docs pages. What follows here is an appetizer of some of the hi
Open sourcing Pingora: our Rust framework for building programmable network services
Open sourcing Pingora: our Rust framework for building programmable network services2024-02-28 Today, we are proud to open source Pingora, the Rust framework we have been using to build services that power a significant portion of the traffic on Cloudflare. Pingora is released under the Apache License version 2.0. As mentioned in our previous blog post, Pingora is a Rust async multithreaded framew
The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience. But what features are important if you want to buy a new GPU? GPU RAM, cores, tensor cores, caches? How to make a cost-efficient choice? This blog post will delve into these questions, tackle common misconceptions, give you an intuitive understanding
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
To be a better programmer, write little proofs in your head
This is a brief write-up of a trick I learned that helps me write code faster and more accurately. I say "trick", but it's really something I started to do without noticing as I moved further into my career. When you're working on something difficult, sketch a proof in your head as you go that your code will actually do what you want it to do. A simple idea, but easier said than done: doing this "
What Is Software Design? by Jack W. Reeves - developer.*, Developer Dot Star
This is Part One of Code As Design: Three Essays by Jack W. Reeves. Click here for the introduction. This essay first appeared in the Fall, 1992 issue of C++ Journal. Object oriented techniques, and C++ in particular, seem to be taking the software world by storm. Numerous articles and books have appeared describing how to apply the new techniques. In general, the questions of whether O-O techniqu
I meant to write about this when I started my blog in 2009. Eventually Lush kind of faded out of my consciousness, as it was a lot easier to get work doing stuff in R or Matlab or whatever. The guy who was maintaining the code moved on to other things. The guys who wrote most of the code were getting famous because of the German Traffic Sign results. I moved on to other things. I had a thought bu
This article describes the four main approaches to building reasoning models, or how we can enhance LLMs with reasoning capabilities. I hope this provides valuable insights and helps you navigate the rapidly evolving literature and hype surrounding this topic. In 2024, the LLM field saw increasing specialization. Beyond pre-training and fine-tuning, we witnessed the rise of specialized application
AI as Normal Technology
A project studying how advanced AI systems may harm, or help strengthen, democratic freedoms We articulate a vision of artificial intelligence (AI) as normal technology. To view AI as normal is not to understate its impact—even transformative, general-purpose technologies such as electricity and the internet are “normal” in our conception. But it is in contrast to both utopian and dystopian vision
Ilities
Various researchers and experts have produced lists of kinds of software quality, often informally called ilities since most of their names end in -ility. Here we examine three lists of ilities, produced by three different groups of researchers. Boehm, Brown, and Lipow's 23 Quality Characteristics (1976) Why ilities are important ‘Suppose you receive a software product which is delivered on time,
Database Fundamentals
About a year ago, I tried thinking which database I should choose for my next project, and came to the realization that I don't really know the differences of databases enough. I went to different database websites and saw mostly marketing and words I don't understand. This is when I decided to read the excellent books Database Internals by Alex Petrov and Designing Data-Intensive Applications by
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
xz-utils backdoor situation (CVE-2024-3094)
The End of Programming – Communications of the ACM
100+ Best GitHub Repositories For Machine Learning
What makes Claude Code so damn good (and how to recreate that magic in your agent)!?
Optimizing your LLM in production
The Best AI Coding Tools in 2025
FFmpeg - Ultimate Guide | IMG.LY Blog
How Unix Spell Ran in 64kB RAM
Manus tools and prompts
Andrej Karpathy — AGI is still a decade away
Hacker News folk wisdom on visual programming
Introducing PyTorch Monarch – PyTorch
Welcome to C# 11 - .NET Blog
Why We Use Julia, 10 Years Later
Lush: my favorite small programming language
Understanding Reasoning LLMs