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The article outlines the AI Policy of the Ghostty organization, which covers their approach to developing and deploying AI systems with a focus on safety, ethics, and transparency.

The article discusses how Docker, a container technology initially designed for simplifying application deployment, has evolved into a complex ecosystem with diverse use cases beyond its original purpose. It highlights Docker's transition from a developer-focused tool to a platform that now encompasses cloud, security, and DevOps considerations.

https://rootkid.me/works/spectrum-slit

The article explores the concept of AI being a technological 'horse', drawing parallels between the impact of horses on human society and the potential impact of artificial intelligence. It discusses the transformative nature of AI and the need for thoughtful guidance as this technology continues to evolve.

The article discusses replacing Protocol Buffers (Protobuf) with Rust, a systems programming language, for data serialization and deserialization. It highlights the benefits of using Rust, such as better performance, safety, and the ability to generate code directly from Rust types.

The article discusses Vinyl, a JavaScript library that simplifies the development of single-page applications (SPAs) by providing a lightweight and efficient virtual DOM implementation. It highlights Vinyl's features, including its small footprint, fast updates, and ease of use, making it a suitable choice for building modern web applications.

Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents.

I didn't write a single line of code.

Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped!

I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity:

http://cannoneyed.com/projects/isometric-nyc

The article discusses the use of AI-powered text-to-speech (TTS) technology in screen readers, highlighting its potential to improve accessibility for users with visual impairments. It explores the benefits and challenges of implementing AI-based TTS in screen reader software, as well as the implications for the future of accessible digital content.

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.

S2 was on HN for our intro blog post a year ago (https://news.ycombinator.com/item?id=42480105). S2 started out as a serverless API — think S3, but for streams.

The idea of streams as a cloud storage primitive resonated with a lot of folks, but not having an open source option was a sticking point for adoption – especially from projects that were themselves open source! So we decided to build it: https://github.com/s2-streamstore/s2

s2-lite is MIT-licensed, written in Rust, and uses SlateDB (https://slatedb.io) as its storage engine. SlateDB is an embedded LSM-style key-value database on top of object storage, which made it a great match for delivering the same durability guarantees as s2.dev.

You can specify a bucket and path to run against an object store like AWS S3 — or skip to run entirely in-memory. (This also makes it a great emulator for dev/test environments).

Why not just open up the backend of our cloud service? s2.dev has a decoupled architecture with multiple components running in Kubernetes, including our own K8S operator – we made tradeoffs that optimize for operation of a thoroughly multi-tenant cloud infra SaaS. With s2-lite, our goal was to ship something dead simple to operate. There is a lot of shared code between the two that now lives in the OSS repo.

A few features remain (notably deletion of resources and records), but s2-lite is substantially ready. Try the Quickstart in the README to stream Star Wars using the s2 CLI!

The key difference between S2 vs a Kafka or Redis Streams: supporting tons of durable streams. I have blogged about the landscape in the context of agent sessions (https://s2.dev/blog/agent-sessions#landscape). Kafka and NATS Jetstream treat streams as provisioned resources, and the protocols/implementations are oriented around such assumptions. Redis Streams and NATS allow for larger numbers of streams, but without proper durability.

The cloud service is completely elastic, but you can also get pretty far with lite despite it being a single-node binary that needs to be scaled vertically. Streams in lite are "just keys" in SlateDB, and cloud object storage is bottomless – although of course there is metadata overhead.

One thing I am excited to improve in s2-lite is pipelining of writes for performance (already supported behind a knob, but needs upstream interface changes for safety). It's a technique we use extensively in s2.dev. Essentially when you are dealing with high latencies like S3, you want to keep data flowing throughout the pipe between client and storage, rather than go lock-step where you first wait for an acknowledgment and then issue another write. This is why S2 has a session protocol over HTTP/2, in addition to stateless REST.

You can test throughput/latency for lite yourself using the `s2 bench` CLI command. The main factors are: your network quality to the storage bucket region, the latency characteristics of the remote store, SlateDB's flush interval (`SL8_FLUSH_INTERVAL=..ms`), and whether pipelining is enabled (`S2LITE_PIPELINE=true` to taste the future).

I'll be here to get thoughts and feedback, and answer any questions!

Archive link: https://archive.md/vk8ov

Capitol One statement: https://investor.capitalone.com/news-releases/news-release-d...

Brex statement: https://www.brex.com/journal/brex-and-capital-one-join-force...

The article discusses the increasing problem of spam emails being sent from Proton Mail accounts, highlighting how the service's privacy features can be exploited by spammers. It suggests ways Proton Mail could address this issue, such as enhancing its security measures and collaborating with other email providers.

This article examines the high network traffic generated by SSH connections, with each keystroke triggering up to 100 packets being sent. It discusses the implications of this bandwidth consumption and suggests ways to optimize SSH usage for more efficient network performance.

The article describes 'WhoseThere', an open-source project that allows users to view a list of people who have been in their vicinity based on Bluetooth signals from their devices. The project aims to provide a privacy-focused alternative to location-tracking apps, giving users control over their personal data.

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.

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.

The article explores the Tibetan Buddhist concept of 'presence in death,' which emphasizes the importance of preserving the body and mind in the moments after death. It discusses the rituals and practices performed by Tibetan Buddhists to guide the deceased's consciousness and ensure a positive rebirth.

The article discusses the development of Claude, an AI assistant created by Anthropic. It explores the capabilities and potential uses of Claude, as well as the ethical considerations around the creation of such AI systems.

The article discusses how the TI-99/4A home computer began to rely more heavily on its firmware as a way to enhance its capabilities, allowing for features like improved graphics and sound without the need for additional hardware.

This article explores the cultural divide between the United States and the United Kingdom through the lens of Douglas Adams' writings, highlighting the differences in humor, language, and societal norms between the two countries.

The article discusses a software engineer's experience taking on a weekend project to improve a subscription service they use, emphasizing the value of personal projects and the importance of understanding the tools and services we rely on.

The article discusses strategies for scaling PostgreSQL databases, including sharding, replication, and partitioning, to handle increasing data volumes and user loads. It explores the trade-offs between different scaling approaches and provides guidance on choosing the right solution for specific use cases.

The article discusses how the Swift team is working to improve the usability of C libraries in Swift, focusing on making the integration process more straightforward and providing better tooling and documentation to help developers work with C libraries effectively.

The article discusses the importance of focusing on writing and content creation before worrying about the tools and technologies used to deliver it. It emphasizes the primacy of the message over the medium and encourages writers to prioritize the substance of their work over the latest software or platforms.

The article discusses the 'do-nothing challenge,' a growing trend where people refrain from using their phones or digital devices for a set period. It examines the potential benefits and limitations of this practice, highlighting that while it can provide a temporary break, it may not lead to long-term improvements in focus or productivity.

https://web.archive.org/web/20250831074424/https://www.theat...

https://archive.ph/GBZBf

I’ve been working on a project to bridge the gap between AI generation and my AxiDraw, and I think I finally have a workflow that avoids the usual headaches.

If you’ve tried plotting AI-generated images, you probably know the struggle: generic tracing tools (like Potrace) trace the outline of a line, resulting in double-strokes that ruin the look and take twice as long to plot.

What I tried previously:

- Potrace / Inkscape Trace: Great for filled shapes, but results in "hollow" lines for line art.

- Canny Edge Detection: Often too messy; it picks up noise and creates jittery paths.

- Standard SDXL: Struggled with geometric coherence, often breaking lines or hallucinating perspective.

- A bunch of projects that claimed to be txt2svg but which produced extremely poor results, at least for pen plotting. (Chat2SVG, StarVector, OmniSVG, DeepSVG, SVG-VAE, VectorFusion, DiffSketcher, SVGDreamer, SVGDreamer++, NeuralSVG, SVGFusion, VectorWeaver, SwiftSketch, CLIPasso, CLIPDraw, InternSVG)

My Approach:

I ended up writing a Python tool that combines a few specific technologies to get a true "centerline" vector:

1. Prompt Engineering: An LLM rewrites the prompt to enforce a "Technical Drawing" style optimized for the generator.

2. Generation: I'm using Flux.2-dev (4-bit). It seems significantly better than SDXL at maintaining straight lines and coherent geometry.

3. Skeletonization: This is the key part. Instead of tracing contours, I use Lee’s Method (via scikit-image) to erode the image down to a 1-pixel wide skeleton. This recovers the actual stroke path.

4. Graph Conversion: The pixel skeleton is converted into a graph to identify nodes and edges, pruning out small artifacts/noise.

5. Optimization: Finally, I feed it into vpype to merge segments and sort the paths (TSP) so the plotter isn't jumping around constantly.

You can see the results in the examples inside the Github repo.

The project is currently quite barebones, but it produces better results than other options I've tested so I'm publishing it. I'm interested in implementing better pre/post processing, API-based generation, and identifying shapes for cross-hatching.

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.