This article is currently an experimental machine translation and may contain errors. If anything is unclear, please refer to the original Chinese version. I am continuously working to improve the translation. TL;DR & Demo As of early 2026, mainstream LLM-generated … Read more
A lightweight CLI tool for detecting non-exact code duplication using embedding models. It focuses on the similar code that is hardest to detect and most harmful: snippets written similarly, sitting far apart in the codebase, often spread across different modules … Read more
2026-03-24 A while ago I wrote a small file watcher in Go for my own use with an accompanying blog post. I needed a tool that I could just plop in front of the command I was running as part … Read more
In my previous post, I wrote about how I’ve saved some AV1-encoded videos that I can’t play on my iPhone. Eventually, I’ll upgrade to a new iPhone which supports AV1, but in the meantime, I want to convert all of … Read more
In a previous blog post, we talked about canvas fingerprinting, a technique commonly used to detect fraudsters and bots. In this post we’ll go deeper on how fraudsters can forge or create fake canvas fingerprints to stay under the radar … Read more
AI agents aren’t just indexing your content anymore. With tools like OpenAI’s Operator, Anthropic’s Computer Use API, and BrowserBase’s Open Operator, these agents can navigate the web, mimic real users, and even take actions at scale. The challenge? Knowing whether … Read more
This post tries to explain the new reasoning techniques developed by XJDR in a new project called Entropix. Entropix attempts to improve reasoning in models through being smarter at sampling during moments of uncertainty. A big caveat, there have been … Read more
This post is part of a new foundation that we are trying to create – Longtail AI Foundation, that works towards increasing accessibility for the hearing impaired. It describes our first steps towards creating a large-scale dataset – isl-500 for … Read more
Abstract Large language model (LLM) systems, such as ChatGPT1 or Gemini2, can show impressive reasoning and question-answering capabilities but often ‘hallucinate’ false outputs and unsubstantiated answers3,4. Answering unreliably or without the necessary information prevents adoption in diverse fields, with problems … Read more
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. … Read more