10-20x Faster LLVM -O0 Back-End – Code Generation

10-20x-faster-llvm-o0-back-end-–-code-generation

5 years ago, @nikic wrote: I can’t say a 10% improvement is making LLVM fast again, we would need a 10x improvement for it to deserve that label. We recently open-sourced TPDE and our fast LLVM baseline back-end (TPDE-LLVM), which is 10-20x faster than the LLVM -O0 back-end with similar runtime performance and 10-30% larger […]

Free AI Tool Removes Image Backgrounds in Seconds

What is AI Background Removal? AI background removal is an advanced technology that uses machine learning algorithms to automatically detect and remove backgrounds from images. Our tool leverages cutting-edge AI models to provide precise, professional-quality results without manual editing. How Does It Work? Our AI background remover uses sophisticated neural networks trained on millions of […]

I sat down with Werner Vogels, the CTO of Amazon

i-sat-down-with-werner-vogels,-the-cto-of-amazon

i sat down with werner vogels | everton’s about blog 30 Aug, 2025 a few days ago, i had the surreal experience of joining a private fireside chat with werner vogels, the cto of amazon, during startup summit 2025 in florianópolis. it’s one thing to follow his talks online – it’s another to be in […]

SynthID

synthid

Generative AI can help us all to be more creative, productive, and innovative. But it can be hard to tell the difference between content that’s been AI-generated, and content created without AI. SynthID is our new watermarking tool, designed specifically for AI-generated content. It empowers users to identify AI-generated (or altered) content, helping to foster […]

Pentagon Docs: US Wants to “Suppress Dissenting Arguments” Using AI Propaganda

pentagon-docs:-us-wants-to-“suppress-dissenting-arguments”-using-ai-propaganda

The United States hopes to use machine learning to create and distribute propaganda overseas in a bid to “influence foreign target audiences” and “suppress dissenting arguments,” according to a U.S. Special Operations Command document reviewed by The Intercept. The document, a sort of special operations wishlist of near-future military technology, reveals new details about a […]

Why Romania excels in international Olympiads

why-romania-excels-in-international-olympiads

Olympiads are international student intellectual competitions in which students from across the world go toe-to-toe answering questions in mathematics, physics, informatics, chemistry, and more. The best performers tend to be from countries like China, the United States, India, and Japan. But, somehow, the southeastern European country of Romania also frequently tops the list. Since 2020, […]

Nginx-CGI brings support for CGI to Nginx and angie

nginx-cgi-brings-support-for-cgi-to-nginx-and-angie

Brings CGI support to Nginx and Angie webserver. OS Tested with Nginx Angie Linux AlmaLinux 9, Debian 12 and Ubuntu 24.04/20.04 okay okay Darwin MacOS 15.1 okay okay BSD FreeBSD 14.2 and OpenBSD 7.6 okay okay Solaris OmniOS r1510521 okay okay Windows No plan, nginx barely supports Windows Before everything CGI is neither a demon […]

Writing a Hypervisor in 1k Lines

writing-a-hypervisor-in-1k-lines

I’ve wrote a tutorial on building a hypervisor from scratch in 1,000 lines of code (website). Few chapters are still in progress, but it’s already good enough to get you started. More specifically, type-1 hypervisor on 64-bit RISC-V with the hypervisor extension (on QEMU). The book is for developers who have finished Operating System in […]

Reusing Computation in Text-to-Image Diffusion for Efficient Image Generation

reusing-computation-in-text-to-image-diffusion-for-efficient-image-generation

Abstract:Text-to-image diffusion models enable high-quality image generation but are computationally expensive. While prior work optimizes per-inference efficiency, we explore an orthogonal approach: reducing redundancy across correlated prompts. Our method leverages the coarse-to-fine nature of diffusion models, where early denoising steps capture shared structures among similar prompts. We propose a training-free approach that clusters prompts based […]

The Theoretical Limitations of Embedding-Based Retrieval

the-theoretical-limitations-of-embedding-based-retrieval

Abstract:Vector embeddings have been tasked with an ever-increasing set of retrieval tasks over the years, with a nascent rise in using them for reasoning, instruction-following, coding, and more. These new benchmarks push embeddings to work for any query and any notion of relevance that could be given. While prior works have pointed out theoretical limitations […]