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Article URL: https://www.halfhill.com/byte/1995-5_see-you.html

Comments URL: https://news.ycombinator.com/item?id=47298781

Points: 2

# Comments: 0

Article URL: https://go.dev/doc/effective_go

Comments URL: https://news.ycombinator.com/item?id=47298780

Points: 1

# Comments: 0

Article URL: https://dmitriid.com/the-curious-case-of-alan-dye

Comments URL: https://news.ycombinator.com/item?id=47298375

Points: 1

# Comments: 0

Article URL: https://cagriy.github.io/Egos-fight-with-AI

Comments URL: https://news.ycombinator.com/item?id=47298373

Points: 1

# Comments: 0

Article URL: https://www.tomshardware.com/3d-printing/california-sues-websites-hosting-3d-printed-gun-files-online-platforms-allegedly-violate-multiple-civil-codes-regarding-unlawful-distribution-and-manufacturing-of-firearms

Comments URL: https://news.ycombinator.com/item?id=47298372

Points: 1

# Comments: 0

Hi HN,

I often needed quick ways to convert small datasets while prototyping APIs or exploring data.

Most online tools require uploading files, login and signup, which feels slow and sometimes risky for sensitive data.

So I built a small browser-based toolset that runs entirely on the client side.

Current tools: - CSV → JSON converter - JSON → CSV converter - CSV → Line Chart generator

You can paste data directly and get instant results.

Everything runs in the browser (no file uploads on server).

I'm planning to add more utilities like: - CSV → multi-line charts - JSON → charts - more small data tools

Would love feedback on what data utilities people wish existed but can't easily find.

Comments URL: https://news.ycombinator.com/item?id=47298368

Points: 1

# Comments: 0

Article URL: https://nautil.us/how-three-students-designed-an-atomic-bomb-1278576

Comments URL: https://news.ycombinator.com/item?id=47298328

Points: 1

# Comments: 0

Article URL: https://medicalxpress.com/news/2026-03-teenagers-late-2000s.html

Comments URL: https://news.ycombinator.com/item?id=47298322

Points: 2

# Comments: 1

Article URL: https://www.cnn.com/2026/03/07/health/gen-z-ai-conversations-wellness

Comments URL: https://news.ycombinator.com/item?id=47298317

Points: 2

# Comments: 0

Article URL: https://medium.com/@AsfSkyWalking/agentic-vibe-coding-in-a-mature-oss-project-what-worked-what-didnt-3ae11ee49806

Comments URL: https://news.ycombinator.com/item?id=47298301

Points: 1

# Comments: 0

Article URL: https://www.nitrokey.com/news/2026/new-nitrophone-10-models

Comments URL: https://news.ycombinator.com/item?id=47298279

Points: 2

# Comments: 1

Before I start, I know that many people, including myself, have an aversion to "AI apps" nowadays, because these projects are often just thin wrappers around ChatGPT's API to do the heavy lifting.

This is not one of those projects. In this case, all the AI logic in my project is implemented directly: data pre-processing, post-processing, inference, tiling, tensor operations, and everything in between are handled entirely within the project, with no external API doing the heavy lifting.

With that said…

This project aims to be an open-source alternative to Topaz Photo AI. For those unfamiliar with Topaz Labs, they develop paid, proprietary AI applications for enhancing images and videos. While there are free and open-source tools that can achieve similar results, such as ComfyUI, they are often difficult to use. Topaz products, on the other hand, place a strong emphasis on ease of use.

Both Topaz and ComfyUI are excellent tools. That said, I personally rely on Topaz applications most of the time because they cover 90% of my needs with minimal friction. Recently, however, Topaz Labs switched to a subscription-based licensing model, which I strongly dislike. That decision motivated me to build an open-source alternative that matches Topaz’s usability without the subscription lock-in.

My project is called Open Photo AI, completely open source and free. It currently support enhancements like AI upscaling, face recovery and light adjustment. It doesn't have yet all the features that Topaz has, but it's a starting point. My goal is to continue developing it into a fully featured alternative to Topaz Photo AI. If that succeeds, I plan to move on to alternatives for Topaz Video AI and other tools.

I’d appreciate any constructive feedback.

Comments URL: https://news.ycombinator.com/item?id=47298274

Points: 1

# Comments: 0

Article URL: https://marginalrevolution.com/marginalrevolution/2026/03/a-fly-has-been-uploaded.html

Comments URL: https://news.ycombinator.com/item?id=47298270

Points: 1

# Comments: 0

Article URL: https://onlinelibrary.wiley.com/doi/full/10.1002/leap.2027

Comments URL: https://news.ycombinator.com/item?id=47298267

Points: 1

# Comments: 0

Article URL: https://www.phoronix.com/news/Chardet-LLM-Rewrite-Relicense

Comments URL: https://news.ycombinator.com/item?id=47298265

Points: 2

# Comments: 0

Article URL: https://sigbed.org/2022/08/22/the-toxic-culture-of-rejection-in-computer-science/

Comments URL: https://news.ycombinator.com/item?id=47298260

Points: 1

# Comments: 0

Claude Code's `--dangerouslySkipPermissions` flag is incredibly productive, but it's called "dangerous" for good reason. In practice it has deleted home directories, wiped database files, and read sensitive files completely unrelated to the project. But the default permission prompts interrupt flow constantly -- you end up spending more time approving edits than actually working.

The obvious fix is containers. But every existing approach has painful tradeoffs: - Dockerfile per project: you're now maintaining infrastructure just to use your AI assistant - devcontainer: complex config, slow to set up, breaks differently per IDE - Manual docker run: env vars don't forward, SSH keys aren't available, clipboard copy/paste stops working inside Claude sessions, and localhost:8080 from your host is unreachable from inside the container

I wanted full isolation with zero configuration. ccc (claude-code-container) handles all of this automatically, without any configuration: npm install -g claude-code-container ccc # that's it

What it does: - Creates a per-project container (named by path hash, so --continue/--resume work correctly) - Forwards host env vars, locale, timezone automatically - Mounts SSH keys and SSH agent (git push just works) - Transparent localhost proxy so Claude can reach your host's dev servers at localhost:3000, :8080, etc. even from inside the container - Clipboard works normally in Claude sessions - mise integration for per-project Node/Python/Java/Go versions - Container auto-stops when the last session exits - Chromium + chrome-devtools MCP pre-configured: Claude can open a browser, navigate pages, take screenshots, run JavaScript, and interact with your web app autonomously -- no extra setup

The transparent localhost proxy was the hardest part -- it uses iptables on Linux and a userspace proxy on macOS/Windows (Docker Desktop doesn't support --network host), with automatic fallback to host.docker.internal.

GitHub: https://github.com/Luxusio/claude-code-container

Would love feedback, especially from people who've tried other approaches to this problem.

Comments URL: https://news.ycombinator.com/item?id=47298242

Points: 1

# Comments: 0

Article URL: https://github.com/coignard/lottie

Comments URL: https://news.ycombinator.com/item?id=47298239

Points: 2

# Comments: 0

Hi all, there is shockingly little on HN about openclaw. Begs the question: are you using it? If so, how? Useful or hype? What’s the real deal? Give me the scoop!

Comments URL: https://news.ycombinator.com/item?id=47298235

Points: 1

# Comments: 0