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The article discusses a data breach incident involving Claude, an AI language model, which was able to exfiltrate sensitive files from a coworking space. It highlights the potential security risks associated with AI systems and the importance of robust security measures to protect against such breaches.

For the past year I've been working to rethink how AI manages timing in conversation at Tavus. I've spent a lot of time listening to conversations. Today we're announcing the release of Sparrow-1, the most advanced conversational flow model in the world.

Some technical details:

- Predicts conversational floor ownership, not speech endpoints

- Audio-native streaming model, no ASR dependency

- Human-timed responses without silence-based delays

- Zero interruptions at sub-100ms median latency

- In benchmarks Sparrow-1 beats all existing models at real world turn-taking baselines

I wrote more about the work here: https://www.tavus.io/post/sparrow-1-human-level-conversation...

Furiosa.ai introduces RNGD Server, a novel AI inference system designed for efficient and scalable deployment in data centers. The article discusses the key features and benefits of RNGD Server, including its ability to achieve high throughput and energy efficiency while maintaining low latency for AI workloads.

The article discusses new features in Safari's developer tools that provide insight into CSS Grid layouts, including visual aids to help understand Grid lanes and a new Grid Inspector tool.

Handy is an open-source project that provides a collection of Python scripts and tools to automate various tasks, including file management, system administration, and data processing. The project aims to simplify and streamline common workflows for developers, IT professionals, and power users.

The article discusses the challenges of scaling software agents and presents a framework for building scalable agent-based systems. It explores techniques like parallelization, load balancing, and distributed processing to enable agent-based applications to handle increased workloads and user demands.

Hello HN! I am putting together a community-maintained directory of personal websites at <https://hnpwd.github.io/>. More details about the project can be found in the README at <https://github.com/hnpwd/hnpwd.github.io#readme>.

As you can see, the directory currently has only a handful of entries. I need your help to grow it. If you have a personal website, I would be glad if you shared it here. If your website is hosted on a web space where you have full control over its design and content, and if it has been well received in past HN discussions, I might add it to the directory. Just drop a link in the comments. Please let me know if you do not want your website to be included in the directory.

Also, I intend this to be a community maintained resource, so if you would like to join the GitHub project as a maintainer, please let me know either here or via the IRC link in the README.

By the way, see also 'Ask HN: Could you share your personal blog here?' - https://news.ycombinator.com/item?id=36575081 - July 2023 - (1014 points, 1940 comments). In this post, the scope is not restricted to blogs though. Any personal website is welcome, whether it is a blog, digital garden, personal wiki or something else entirely.

UPDATE: It is going to take a while to go through all the submissions and add them. If you'd like to help with the process, please send a PR directly to this project: https://github.com/hnpwd/hnpwd.github.io

I am curious how people are doing RAG locally with minimal dependencies for internal code or complex documents?

Are you using a vector database, some type of semantic search, a knowledge graph, a hypergraph?

The article discusses Project Skywatch, a civilian surveillance program that employs the use of WESCAM cameras to monitor the skies. It provides details about the program's origin, its capabilities, and the concerns raised by privacy advocates regarding the potential for abuse and lack of oversight.

The article discusses a method to limit access to sensitive information for AI agents like Claude, by separating the agent's code and the sensitive data into distinct components. This approach aims to enhance security and prevent unauthorized access to confidential information.

archive.today has recently (I noticed this, like, 3 days ago) started automatically making requests to someone's personal blog on their CAPTCHA page. Here's a screenshot of what I'm talking about: https://files.catbox.moe/20jsle.png

The relevant JS is:

   setInterval(function() {
     fetch("https://gyrovague.com/?s=" + Math.round(new Date().getTime() % 10000000), {
       referrerPolicy: "no-referrer",
       mode: "no-cors"
     });
   }, 300);

So perhaps this is some kind of revenge/DOS attack attempt/deliberately wasting their bandwidth in response to this article? Maybe an attempt to silence them and force to delete their article? But if it is, then I have so many questions. Like, why would the owner of the archive do that 2.5 years after the article was published? Or why would they even do that in the first place, do they not know about Streisand effect?

I'm confused.

The article discusses the current state of OpenSSL, a widely-used cryptographic library. It outlines the project's governance structure, funding model, and ongoing development efforts, emphasizing the importance of maintaining the library's security and stability.

The article discusses bare-metal programming on the RISC-V architecture, covering the basics of setting up a development environment, writing and compiling code, and running it on a RISC-V board. It highlights the benefits of working directly with the hardware and the unique challenges of programming on a new, open-source instruction set architecture.

There is a large grid of 250x250 tiles, on which you are be able to create a tiny website, contained into the tile. You can basically consider the tile as a mini version of your website, showcasing what your full site has (but it can be anything). You are able to link to your full site, and use any HTML/CSS/JS inside. The purpose is to create beautiful and interesting tiles, that could be used for exploring the indie-web in an easy and interesting way.

SparkFun Electronics, a leading electronics retailer, has provided an official response addressing concerns raised by customers. The response outlines the company's commitment to transparency, customer service, and continuous improvement in order to maintain the trust and satisfaction of its community.

The article discusses the relationship between the Earth and the Sun, highlighting their distance, size, and the importance of the Sun's energy for life on Earth. It also explores the Sun's role in driving Earth's climate and weather patterns.

Hi HN, I built webctl because I was frustrated by the gap between curl and full browser automation frameworks like Playwright.

I initially built this to solve a personal headache: I wanted an AI agent to handle project management tasks on my company’s intranet. I needed it to persist cookies across sessions (to handle SSO) and then scrape a Kanban board.

Existing AI browser tools (like current MCP implementations) often force unsolicited data into the context window—dumping the full accessibility tree, console logs, and network errors whether you asked for them or not.

webctl is an attempt to solve this with a Unix-style CLI:

- Filter before context: You pipe the output to standard tools. webctl snapshot --interactive-only | head -n 20 means the LLM only sees exactly what I want it to see.

- Daemon Architecture: It runs a persistent background process. The goal is to keep the browser state (cookies/session) alive while you run discrete, stateless CLI commands.

- Semantic targeting: It uses ARIA roles (e.g., role=button name~="Submit") rather than fragile CSS selectors.

Disclaimer: The daemon logic for state persistence is still a bit experimental, but the architecture feels like the right direction for building local, token-efficient agents.

It’s basically "Playwright for the terminal."

Crafting Interpreters is a comprehensive guide to building a high-performance interpreter from scratch, covering the design and implementation of a modern programming language and its virtual machine, as well as the fundamentals of language theory and lexical analysis.

With research done till date, what according to you is the best way to provide context to a model. Are there any articles that go into depth of how Cursor does it?

How do context collation companies work?

https://github.com/stepandel/chroma-explorer

The article explains how to generate QR codes using pure SQL in PostgreSQL, without the need for any external libraries or tools. It provides a step-by-step guide on creating a function that generates QR codes and stores them in the database.

The article discusses how to build a simple pulse generator to demonstrate the principles of transmission lines. It covers the design and construction of a basic circuit that can be used to generate pulse signals and observe the effects of transmission line characteristics.

The article explores the performance comparison between the Rust and C programming languages, providing a nuanced analysis of their relative speeds in various scenarios and highlighting the factors that influence their performance.

The article reports that the Ford F-150 Lightning electric pickup outsold the Tesla Cybertruck, which has been cancelled due to not selling enough units. The article highlights the growing popularity of electric trucks and the competition in the market.

The article discusses the author's plan to write a Prolog book, covering the programming language's core concepts, real-world applications, and the author's personal experiences with Prolog. The goal is to create a comprehensive resource for both beginners and experienced Prolog programmers.

The article covers the OpenZFS Summit 2025, where Mayanas, a developer, presented objbacker, a new backup and recovery solution for ZFS. The summary highlights the key features and capabilities of objbacker, which aims to improve the reliability and efficiency of ZFS-based data protection.