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This paper proposes a novel approach for building large-scale natural language models using a modular and scalable architecture. The authors demonstrate the effectiveness of their method by training a model with over 1 trillion parameters, which outperforms existing state-of-the-art models on a range of natural language tasks.

I know. Another Helpdesk. Who would need that? I‘ll be honest: not everybody. Aidkit (the tool) originated out of a simple need for something simpler & lightweight.

Compared to the gorillas in the room like Front.com or Zoho desk, I did not build it for enterprise but for small software teams of ~1-10 members.

It does everything you need, collecting & managing tickets, and has nothing you don’t like AI responses, big bulky dashboards, or enterprise bloat.

Give it a try if you’re looking for something simple to manage your support.

As a developer, I hate writing documentation.

Not because I don't see the value, I do. But because it always falls behind. You ship a feature, update the docs, then three sprints later realize half of it's wrong and nobody bothered to fix it.

So I built BunnyDesk AI to make this less painful.

Here's what it does:

AI that actually reads your docs Ask "How do I authenticate API requests?" and get an answer pulled from your actual documentation.

Not generic ChatGPT responses—answers based on what you wrote.

Knows when docs go stale

Tag documentation pages with the code files they describe. When those files change in Git, it updates the doc automatically.

You can also add loom video and it'll auto generate docs based on that. Plus, it can add screenshots and am also bringing annotations too. Technical writers would love this as most of them start writing from scratch, but with BunnyDesk you need one TW instead of 3-4.

I'm sure plenty of people here have other documentation pain points. Would love to hear what's broken in your workflow and what would actually help.

The European Union and India have launched talks to discuss India's potential association with Horizon Europe, the EU's framework program for research and innovation, starting in 2026. This partnership aims to strengthen scientific and technological cooperation between the EU and India.

The article discusses the challenges of agent-based systems, highlighting how they can fail quietly and cause hidden issues. It emphasizes the importance of designing resilient agent-based systems that can handle failures gracefully and provide transparency into their behavior.

The article describes an extension for the Chrome web browser that allows users to export their ChatGPT conversations, enabling them to save and reference their past interactions with the AI chatbot.

Wireit is an open-source project by Google that provides a simple and flexible wiring library for creating and managing data flows between components. It offers a declarative syntax, support for async/await, and easy integration with popular front-end frameworks.

I'm a solo dev, and I got tired of signing up for monitoring services that require installing agents, browser extensions, or wiring up Slack/PagerDuty just to know if my side project is down.

So I built ArkWatch: a free uptime monitoring API with zero dependencies. No SDK, no npm package, no webhook setup. Just curl + your email.

One command to start monitoring:

  curl -X POST https://watch.arkforge.fr/monitors \
    -H "Content-Type: application/json" \
    -d '{"url":"https://yoursite.com","email":"you@example.com"}'

It also has an AI layer (Mistral) that summarizes what actually changed on a page – useful for tracking competitor pricing or changelog updates. But the core use case is dead-simple uptime alerts.

Stack: Python/FastAPI, hosted on Hetzner EU. Free tier: 3 URLs, 5-min checks. Paid starts at €9/month for more URLs and faster intervals.

I'd love feedback from HN – especially on what you'd want from a zero-dependency monitoring tool. Try it, break it, tell me what's missing.

I've been using Claude Code, Codex CLI, and Gemini CLI on the same projects. They're each great alone but running them concurrently is chaos: merge conflicts from simultaneous edits, decisions made in one context lost to another, and slow architectural drift as each agent optimizes locally without a shared plan.

Forge is an orchestration layer that sits between AI coding tools and your codebase. It's a single Rust binary (~3 MB, zero runtime deps) that runs as an MCP server over stdio. Any MCP-compatible AI tool can call it.

What it does: - File locking: When an agent claims a task, Forge locks the target files. Other agents see the lock and work on something else. Conflicts become structurally impossible. - Knowledge flywheel: Agents call forge_capture_knowledge to store decisions, patterns, and gotchas. Other agents query the store before making decisions. Knowledge compounds across sessions instead of evaporating. - Drift detection: Sends recent changes + the project spec to an LLM for alignment scoring. Catches "you were supposed to build auth but you're refactoring CSS" before it compounds. - Governance: 5-dimension health check (tests, security, docs, architecture, git hygiene) that agents and humans can query at any time.

The brain is pluggable: a free heuristic engine (pattern matching, works offline) or an LLM engine (GPT-4.1 by default). Switch with one CLI command.

State is a single JSON file in .forge/ — human-readable, git-trackable, zero operational overhead.

51 tests (30 unit, 9 CLI, 12 MCP protocol), 0 compiler warnings, 0 unsafe blocks.

MIT licensed. Whitepaper with the full architecture: https://nxtg.ai/insights/forge-whitepaper

Happy to answer questions about the Rust implementation, MCP protocol design, or the multi-agent coordination problem in general.

MikroORM is a popular TypeScript and JavaScript Object-Document Mapping (ODM) library that simplifies working with databases in Node.js and modern JavaScript applications. It supports multiple database drivers and provides a flexible and efficient way to interact with databases.

The article discusses the common misconception that if one could travel faster than light, time would run backward. It explains that this is not the case, and that time would continue to move forward, even at superluminal speeds.

The demand for P2P crypto exchange development is rising as global regulations evolve and users seek decentralized, secure trading platforms. Recent blockchain news highlights increased adoption of escrow-based P2P models, AI-powered fraud prevention, and multi-chain support. Latest updates show exchanges integrating KYC automation and fiat on-ramps to meet compliance needs. Staying aligned with current crypto trends, a reliable P2P crypto exchange development company helps businesses launch scalable, future-ready platforms in a fast-changing market. For further details, visit our Clarisco webpage.

The article explores the implementation of a live TV application using the Vulkan graphics API, discussing the advantages of Vulkan over other APIs, the rendering pipeline, and the challenges involved in creating a real-time video streaming application.

I built a 2D N-body simulator to explore the hypothesis that our universe exists inside a black hole. The code simulates gravitational dynamics within a membrane boundary (event horizon analog), tracks atmospheric evolution, and models dark energy as external mass injection.

After 2000 epochs: 2.7% of bodies developed breathable atmospheres.

The code is MIT-licensed and needs GPU acceleration / 3D extension. Looking for collaborators with computational resources.

GitHub: https://github.com/pongtse822-rgb/V6-Black-Hole-Universe

Would love feedback on the physics assumptions!

FreeCivWorld is an open-source project that aims to create a browser-based version of the classic Civilization game. The project seeks to provide a free and accessible way for players to enjoy the strategic gameplay of Civilization in a web-based format.

The article discusses the use of the Zstandard compression algorithm for text classification tasks, highlighting its potential benefits over traditional methods like GZIP in terms of compression ratio and speed.

The article discusses the Castle Engine team's upgrade to GTK 3, a popular toolkit for creating graphical user interfaces (GUIs). The upgrade aims to improve the engine's compatibility and modernize its codebase, providing users with a more up-to-date and reliable experience.

The article discusses the SETI (Search for Extraterrestrial Intelligence) program's efforts to follow up on its final 100 candidate signals, which may potentially be from alien civilizations. The program aims to determine the origin and nature of these signals through further investigation and analysis.

Portugal has built Europe's first dedicated drone carrier, the D. João II, to support the country's maritime surveillance and security operations. The ship is equipped with specialized infrastructure to launch, land, and operate unmanned aerial vehicles for a variety of missions, including border control, fisheries monitoring, and environmental protection.

NTSC.rs is a decentralized autonomous organization (DAO) that aims to promote the adoption of blockchain technology in Serbia. The organization focuses on education, community building, and supporting the development of blockchain projects in the country.

The article explores European alternatives to popular American tech platforms, highlighting privacy-focused and decentralized options for email, social media, and cloud storage that aim to protect user data and offer more control over personal information.

The article explores the fascinating world of one-dimensional cellular automata, a simple yet powerful model of computation that can generate complex and unexpected patterns from a few simple rules. It provides an interactive visualization and explanation of how these automata work and their potential applications in various fields.

I recently came across a site called Seedance 2: https://seedance2.tech/

It seems to be exploring a different angle of AI video generation, focusing more on rhythm, motion, and visual continuity rather than long-form cinematic storytelling.

I’m curious what people here think about this direction in general: - Does a rhythm- or motion-focused approach to AI video feel genuinely useful? - How does this compare to current AI video tools in terms of control and expectations? - If you were to use an AI video generator, what kind of control would actually matter to you?

Not affiliated, just interested in discussing where AI video generation workflows might be heading.

MailReader is an open-source email client that allows users to easily access and manage their email accounts from a simple, user-friendly interface. The project provides a cross-platform solution for reading, composing, and organizing emails across multiple email providers.

The article explores the role of oil in the Iraq War, arguing that the war was driven by a desire to control Iraq's oil resources and ensure their exploitation by Western oil companies. It suggests that the war was not primarily motivated by national security concerns, but rather by the economic interests of the oil industry.