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The article discusses the NeurIPS (Neural Information Processing Systems) conference, one of the premier annual events in the field of machine learning. It highlights the conference's focus on showcasing groundbreaking research and fostering discussions around the latest advancements in artificial intelligence and related technologies.

This article discusses the author's experience with being banned from using the Claude AI assistant due to violations of Anthropic's content policy. It explores the implications of such bans and the challenges faced by AI users in navigating platform guidelines.

This article explores the creation of an isometric illustration of New York City, detailing the artist's process and the technical challenges involved in capturing the city's iconic skyline and urban landscape in an isometric perspective.

The article discusses the development of Qwen.AI's new text-to-speech (TTS) model, detailing the technical improvements and quality enhancements that have resulted in a more natural and expressive speech output.

This article explores fascinating optical illusions that can be created using CSS, such as making objects appear to be rotating or changing shape. It provides detailed examples and code snippets to help readers understand and recreate these visual effects.

The article compares the pros and cons of using Tree-sitter and Language Server Protocol (LSP) in the context of editor plugins. It discusses the differences in performance, flexibility, and implementation complexity between the two approaches, highlighting the trade-offs developers must consider when choosing a code parsing and analysis solution.

https://www.tiktok.com/@recursecenter/video/7597943894319369...

This article provides an overview of seven essential books on design thinking, covering topics such as the design process, problem-solving, and innovation. It offers recommendations for both beginners and experienced designers looking to deepen their understanding of design thinking principles and practices.

AnswerThis, a Y Combinator-backed startup, is hiring an AI Agent Orchestration engineer to develop and maintain their AI-powered virtual assistant platform, which helps businesses provide personalized customer support and conversational experiences.

Hi HN! We're Kamran, Raaid, Laith, and Omeed from Constellation Space. We built an AI system that predicts satellite link failures before they happen. Here's a video walkthrough: https://www.youtube.com/watch?v=069V9fADAtM.

Between us, we've spent years working on satellite operations at SpaceX, Blue Origin, and NASA. At SpaceX, we managed constellation health for Starlink. At Blue, we worked on next-gen test infra for New Glenn. At NASA, we dealt with deep space communications. The same problem kept coming up: by the time you notice a link is degrading, you've often already lost data.

The core issue is that satellite RF links are affected by dozens of interacting variables. A satellite passes overhead, and you need to predict whether the link will hold for the next few minutes. That depends on: the orbital geometry (elevation angle changes constantly), tropospheric attenuation (humidity affects signal loss via ITU-R P.676), rain fade (calculated via ITU-R P.618 - rain rates in mm/hr translate directly to dB of loss at Ka-band and above), ionospheric scintillation (we track the KP index from magnetometer networks), and network congestion on top of all that.

The traditional approach is reactive. Operators watch dashboards, and when SNR drops below a threshold, they manually reroute traffic or switch to a backup link. With 10,000 satellites in orbit today and 70,000+ projected by 2030, this doesn't scale. Our system ingests telemetry at around 100,000 messages per second from satellites, ground stations, weather radar, IoT humidity sensors, and space weather monitors. We run physics-based models in real-time - the full link budget equations, ITU atmospheric standards, orbital propagation - to compute what should be happening. Then we layer ML models on top, trained on billions of data points from actual multi-orbit operations.

The ML piece is where it gets interesting. We use federated learning because constellation operators (understandably) don't want to share raw telemetry. Each constellation trains local models on their own data, and we aggregate only the high-level patterns. This gives us transfer learning across different orbit types and frequency bands - learnings from LEO Ka-band links help optimize MEO or GEO operations. We can predict most link failures 3-5 minutes out with >90% accuracy, which gives enough time to reroute traffic before data loss. The system is fully containerized (Docker/Kubernetes) and deploys on-premise for air-gapped environments, on GovCloud (AWS GovCloud, Azure Government), or standard commercial clouds.

Right now we're testing with defense and commercial partners. The dashboard shows real-time link health, forecasts at 60/180/300 seconds out, and root cause analysis (is this rain fade? satellite setting below horizon? congestion?). We expose everything via API - telemetry ingestion, predictions, topology snapshots, even an LLM chat endpoint for natural language troubleshooting.

The hard parts we're still working on: prediction accuracy degrades for longer time horizons (beyond 5 minutes gets dicey), we need more labeled failure data for rare edge cases, and the federated learning setup requires careful orchestration across different operators' security boundaries. We'd love feedback from anyone who's worked on satellite ops, RF link modeling, or time-series prediction at scale. What are we missing? What would make this actually useful in a production NOC environment?

Happy to answer any technical questions!

The article discusses the significant progress made by European countries in transitioning away from fossil fuels towards renewable energy sources, particularly wind and solar power, which now account for a larger share of the continent's electricity generation than fossil fuels.

This article explores the importance of GPU health monitoring for ensuring optimal performance and longevity of graphics processing units. It discusses key factors that can affect GPU health, such as temperature, power consumption, and workload, and how to proactively monitor and manage these metrics to prevent potential issues.

Hey HN! We're Nithin and Nikhil, twin brothers building BrowserOS (YC S24). We're an open-source, privacy-first alternative to the AI browsers from big labs.

The big differentiator: on BrowserOS you can use local LLMs or BYOK and run the agent entirely on the client side, so your company/sensitive data stays on your machine!

Today we're launching filesystem access... just like Claude Cowork, our browser agent can read files, write files, run shell commands! But honestly, we didn't plan for this. It turns out the privacy decision we made 9 months ago accidentally positioned us for this moment.

--- The architectural bet we made 9 months ago

Unlike other AI browsers (ChatGPT Atlas, Perplexity Comet) where the agent loop runs server-side, we decided early on to run our agent entirely on your machine (client side).

But building everything on the client side wasn't smooth.

We initially built our agent loop inside a Chrome extension. But we kept hitting walls:

1) JS service worker is single-threaded, so we couldn't start multiple agents in parallel.

2) Not having access to a NodeJS-like runtime meant we couldn't use many great npm packages (Vercel AI SDK, etc)

So we made the hard decision 2 months ago to throw away everything we built and start from scratch.

In the new architecture, our agent loop sits in a standalone binary that we ship alongside our Chromium. And we use gemini-cli for the agent loop with some tweaks! We wrote a neat adapter to translate between Gemini format and Vercel AI SDK format. You can look at our entire codebase here: https://git.new/browseros-agent

--- How we gave browser access to filesystem

When Claude Cowork launched, we realized something: because Atlas and Comet run their agent loop server-side, there's no good way for their agent to access your files without uploading them to the server first.

But our agent was already local. Adding filesystem access meant just... opening the door (with your permissions ofc). Our agent can now read and write files just like Claude Code.

--- What you can actually do today

a) Organize files in my desktop folder https://youtu.be/NOZ7xjto6Uc

b) Open top 5 HN links, extract the details and write summary into a HTML file https://youtu.be/uXvqs_TCmMQ

--- Where we are now If you haven't tried us since the last Show HN, give us another shot. The new architecture unlocked a ton of new features, and we've grown to 8.5K GitHub stars and 100K+ downloads:

c) You can now build more reliable workflows using n8n-like graph https://youtu.be/H_bFfWIevSY

d) You can also use BrowserOS as an MCP server in Cursor or Claude Code https://youtu.be/5nevh00lckM

e) You can also schedule repetitive tasks!

--- Why we think browser is the right platform

We are very bullish on browser being the right platform for a Claude Cowork like agent. Browser is the most commonly used app by knowledge workers (emails, docs, spreadsheets, research, etc). And even Anthropic recognizes this -- for Claude Cowork, they have janky integration with browser via a chrome extension. But owning the entire stack allows us to build differentiated features that wouldn't be possible otherwise. One example: Browser ACLs.

Agents can do dumb or destructive things, so we're adding browser-level guardrails (think IAM for agents): "role(agent): can never click buy" or "role(agent): read-only access on my bank's homepage." We have a prototype already—curious to hear your take on this and the overall thesis.

We’ll be in the comments. Thanks for reading!

GitHub: https://git.new/browseros

Download: https://browseros.com (available for Mac, Windows, Linux!)

This article discusses a free online tool that can reduce the file size of PDF documents by up to 20% without compromising quality, helping users optimize their PDFs for easier sharing and distribution.

This article celebrates the 30th anniversary of ReactOS, an open-source operating system that aims to be compatible with Windows, providing a free and open-source alternative to proprietary Windows systems. It highlights the project's history, community, and ongoing development efforts to create a fully functional and compatible Windows replacement.

The article discusses the purpose and behavior of terminal emulators, focusing on the concepts of TTY (Teletypewriter) and buffering. It explains how TTY and buffering work together to enable efficient communication between applications and the terminal, while also discussing the implications for developers working with terminal-based programs.

Hey HN, we trained and open-sourced a 1.5B model that predicts your next edits, similar to Cursor. You can download the weights here (https://huggingface.co/sweepai/sweep-next-edit-1.5b) or try it in our JetBrains plugin (https://plugins.jetbrains.com/plugin/26860-sweep-ai-autocomp...).

Next-edit autocomplete differs from standard autocomplete by using your recent edits as context when predicting completions. The model is small enough to run locally while outperforming models 4x its size on both speed and accuracy.

We tested against Mercury (Inception), Zeta (Zed), and Instinct (Continue) across five benchmarks: next-edit above/below cursor, tab-to-jump for distant changes, standard FIM, and noisiness. We found exact-match accuracy correlates best with real usability because code is fairly precise and the solution space is small.

Prompt format turned out to matter more than we expected. We ran a genetic algorithm over 30+ diff formats and found simple `original`/`updated` blocks beat unified diffs. The verbose format is just easier for smaller models to understand.

Training was SFT on ~100k examples from permissively-licensed repos (4hrs on 8xH100), then RL for 2000 steps with tree-sitter parse checking and size regularization. The RL step fixes edge cases SFT can’t like, generating code that doesn’t parse or overly verbose outputs.

We're open-sourcing the weights so the community can build fast, privacy-preserving autocomplete for any editor. If you're building for VSCode, Neovim, or something else, we'd love to see what you make with it!

This article explores the cognitive and neural impacts of conversing with a large language model like ChatGPT, highlighting both the benefits and potential risks, such as the model's ability to stimulate critical thinking but also the danger of overreliance and the need for caution when using such systems.

A Brazilian city is using tilapia fish skin to treat burn victims, a cost-effective and innovative approach that has shown promising results in wound healing and reducing pain and scarring.

I started teaching my daughter physics by showing her how things actually work - plucking guitar strings to explain vibration, mixing paints to understand light, dropping objects to see gravity in action.

She learned so much faster through hands-on exploration than through books or videos. That's when I realized: what if I could recreate these physical experiments as interactive simulations?

Lumen is the result - an interactive physics playground covering sound, light, motion, life, and mechanics. Each module lets you manipulate variables in real-time and see/hear the results immediately.

Try it: https://www.projectlumen.app/

This article by Alan Perlis discusses the importance of programming as a tool for problem-solving and emphasizes the need for a more systematic approach to programming education, highlighting the potential benefits of increased programming literacy in various fields.

The article provides information about the security.txt file format, which is a proposed standard for websites to disclose their security policies, responsible disclosure policies, and contact information for security issues.

eBay has banned the use of AI agents and updated its user agreement, requiring arbitration of disputes starting in February 2026. The changes aim to address concerns around the use of AI tools and ensure a fair dispute resolution process for eBay users.

The article discusses the increasing abuse of Visual Studio Code (VSCode) by threat actors, who are leveraging the platform's capabilities to distribute malware and carry out other malicious activities. It highlights the need for users to be vigilant and implement security measures when using VSCode to mitigate these threats.

This is a (silly, little) app which lets you make noise music using a color picker as an instrument. When you click on a specific point in the color picker, a bit of JavaScript maps the binary representation of the clicked-on color's hex-code to a "chord" in the 24 tone-equal-temperament scale. That chord is then played back using a throttled audio generation method which was implemented via Tone.js.

NOTE! Turn the volume way down before using the site. It is noise music. :)

The article explores the Psilocybe cubensis mushroom, a psychedelic fungi that can induce hallucinations of tiny people. It delves into the cultural history, scientific research, and potential therapeutic uses of this mysterious mushroom.

The article discusses French President Emmanuel Macron's statement that 300 billion euros in European savings have flown out of the continent, implying significant capital flight from the region. Macron highlighted this as a major challenge facing the European Union and called for greater economic integration to address the issue.