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The article discusses a proposed bill in New York that would require news outlets to include disclaimers on articles generated by artificial intelligence (AI) systems. The bill aims to increase transparency and inform readers about the use of AI in news production.

Researchers at Caltech have invented a new method to add page numbers to DNA sequences, enabling more efficient data storage and retrieval in DNA-based information systems. This novel approach could significantly enhance the scalability and practicality of DNA data storage technologies.

Anthropic announces the release of Claude, a large language model with improved capabilities in language understanding, generation, and reasoning. Claude Opus 4.6 introduces several enhancements, including better long-form coherence, more consistent persona, and improved factual accuracy.

The article discusses how various Unix operations, such as file system modifications, environment variable changes, and process management, can be performed in an atomic and transactional manner, ensuring that the operations are either fully completed or rolled back, providing consistency and reliability.

OpenAI has announced the release of GPT-5.3 and Codex, two new AI models that demonstrate significant advancements in natural language processing and generation capabilities, including improved code generation and understanding.

The article discusses the nature of plasma, the fourth state of matter, and its various applications in science and technology, including in the fields of medicine, energy, and materials science.

The article chronicles the author's personal journey in adopting and integrating AI technologies into their workflow, highlighting the challenges, benefits, and lessons learned along the way as they navigated the complexities of AI adoption within their own professional and creative practices.

This article covers the development of a C compiler by Anthropic engineers. It discusses the challenges and design decisions involved in building a robust and efficient compiler, including parsing, type checking, code generation, and optimization.

I'm a software engineer who keeps getting pulled into DevOps no matter how hard I try to escape it. I recently moved into a Lead DevOps Engineer role writing tooling to automate a lot of the pain away. On my own time outside of work, I built Artifact Keeper — a self-hosted artifact registry that supports 45+ package formats. Security scanning, SSO, replication, WASM plugins — it's all in the MIT-licensed release. No enterprise tier. No feature gates. No surprise invoices.

Your package managers — pip, npm, docker, cargo, helm, go, all of them — talk directly to it using their native protocols. Security scanning with Trivy, Grype, and OpenSCAP is built in, with a policy engine that can quarantine bad artifacts before they hit your builds. And if you need a format it doesn't support yet, there's a WASM plugin system so you can add your own without forking the backend.

Why I built it:

Part of what pulled me into computers in the first place was open source. I grew up poor in New Orleans, and the only hardware I had access to in the early 2000s were some Compaq Pentium IIs my dad brought home after his work was tossing them out. I put Linux on them, and it ran circles around Windows 2000 and Millennium on that low-end hardware. That experience taught me that the best software is software that's open for everyone to see, use, and that actually runs well on whatever you've got.

Fast forward to today, and I see the same pattern everywhere: GitLab, JFrog, Harbor, and others ship a limited "community" edition and then hide the features teams actually need behind some paywall. I get it — paychecks have to come from somewhere. But I wanted to prove that a fully-featured artifact registry could exist as genuinely open-source software. Every feature. No exceptions.

The specific features came from real pain points. Artifactory's search is painfully slow — that's why I integrated Meilisearch. Security scanning that doesn't require a separate enterprise license was another big one. And I wanted replication that didn't need a central coordinator — so I built a peer mesh where any node can replicate to any other node. I haven't deployed this at work yet — right now I'm running it at home for my personal projects — but I'd love to see it tested at scale, and that's a big part of why I'm sharing it here.

The AI story (I'm going to be honest about this):

I built this in about three weeks using Claude Code. I know a lot of you will say this is probably vibe coding garbage — but if that's the case, it's an impressive pile of vibe coding garbage. Go look at the codebase. The backend is ~80% Rust with 429 unit tests, 33 PostgreSQL migrations, a layered architecture, and a full CI/CD pipeline with E2E tests, stress testing, and failure injection.

AI didn't make the design decisions for me. I still had to design the WASM plugin system, figure out how the scanning engines complement each other, and architect the mesh replication. Years of domain knowledge drove the design — AI just let me build it way faster. I'm floored at what these tools make possible for a tinkerer and security nerd like me.

Tech stack: Rust on Axum, PostgreSQL 16, Meilisearch, Trivy + Grype + OpenSCAP, Wasmtime WASM plugins (hot-reloadable), mesh replication with chunked transfers. Frontend is Next.js 15 plus native Swift (iOS/macOS) and Kotlin (Android) apps. OpenAPI 3.1 spec with auto-generated TypeScript and Rust SDKs.

Try it:

  git clone https://github.com/artifact-keeper/artifact-keeper.git
  cd artifact-keeper
  docker compose up -d

Live demo: https://demo.artifactkeeper.com Docs: https://artifactkeeper.com/docs/

I'd love any feedback — what you think of the approach, what you'd want to see, what you hate about Artifactory or Nexus that you wish someone would just fix. It doesn't have to be a PR. Open an issue, start a discussion, or just tell me here.

https://github.com/artifact-keeper

The article explains a technique for extracting and reconstructing PDF files from raw, encoded email attachments, using the Epstein case as an example. It details the process of decoding the data and reversing the encoding to recover the original PDF documents.

The article discusses key memory optimizations to unlock high-performance PostgreSQL, focusing on strategies to optimize memory usage, including shared_buffers, effective_cache_size, and work_mem configurations, as well as the impact of these settings on overall database performance.

The article examines the security vulnerabilities discovered in the Vespa search engine, including exposed authentication tokens, arbitrary command execution, and an insecure default configuration. It highlights the importance of thorough security assessments and the need for users to carefully configure the Vespa service to mitigate potential risks.

The article discusses AMD's recent advancements in the semiconductor industry, highlighting their competitive edge over Intel with their Ryzen and EPYC processor lines, and their plans to continue innovating and expanding their market share in the coming years.

Sealos is an open-source cloud native infrastructure management tool that simplifies the deployment and management of Kubernetes clusters across multiple cloud providers and on-premises environments.

The article provides an overview of the Domain Name System (DNS), explaining how it translates human-readable domain names into IP addresses, enabling internet users to access websites and online services. It covers the basic functions and components of the DNS hierarchy, as well as the importance of DNS for the smooth operation of the internet.

The article explores how the color green is associated with safety and well-being, and how this perception has been shaped by historical and cultural factors. It examines the science behind the calming and reassuring effects of the color green on the human mind and body.

The article discusses the merits and challenges of the idea that we live in a computer simulation, exploring philosophical and scientific perspectives on the topic. It examines the implications of this hypothesis and the ongoing debate around its feasibility and testability.

The article discusses the launch of Claude Opus 4.6, a new version of the Claude AI assistant, and a limited-time offer for extra usage promo. It provides details on the new features and improvements in Opus 4.6, as well as information on the promotional offer and how users can take advantage of it.

The article discusses the potential pitfalls of overusing GitHub Actions in software development teams, highlighting the importance of balancing automation and manual processes to maintain team productivity and code quality.

The article discusses a Chrome extension that can be used to track users' browsing behavior and LinkedIn activity, raising privacy concerns. It explains how the extension can be used to fingerprint and monitor users without their knowledge or consent.

The article discusses the benefits of using expect tests in software development, highlighting their ability to catch unexpected behavior, promote cleaner code, and facilitate better testing practices.

The article discusses the use of Helmholtz networks, a type of neural network, for image generation. It explores the mathematical foundations of Helmholtz networks and how they can be used to generate realistic-looking images in an unsupervised manner.

This article discusses the concept of agent teams in the Claude platform, which allows developers to create and manage groups of AI agents to handle complex tasks collaboratively. It covers the key features and benefits of agent teams, such as improved scalability, task distribution, and coordination among multiple agents.

The article provides a detailed summary of the classic novel '1984' by George Orwell, discussing its themes of totalitarianism, surveillance, and the control of information, and how these elements reflect the author's warnings about the dangers of authoritarian regimes.

The article explores the concept of 'company as code', where a company's operations and infrastructure are managed through code, similar to how software development is managed. It discusses the benefits of this approach, such as increased efficiency, scalability, and flexibility in running a business.