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Article URL: https://www.youtube.com/watch?v=r7b2uwy8_CM Comments URL: https://news.ycombinator.com/item?id=49141426 Points: 1 # Comments: 0

Article URL: https://agent-browser.dev/ Comments URL: https://news.ycombinator.com/item?id=49141627 Points: 2 # Comments: 1

Article URL: https://www.lesswrong.com/posts/GPbWyHgx9hCLMdAjc/mud-as-ai-evaluation-and-llm-judge-distortion-in-ways Comments URL: https://news.ycombinator.com/item?id=49141862 Points: 3 # Comments: 0

Article URL: https://www.theguardian.com/technology/2026/jul/31/ai-labels-to-be-compulsory-on-authentic-looking-content-under-eu-rules Comments URL: https://news.ycombinator.com/item?id=49141912 Points: 5 # Comments: 1

Article URL: https://hellochinatech.com/p/deepseek-liang-wenfeng-transcript Comments URL: https://news.ycombinator.com/item?id=49141929 Points: 2 # Comments: 0

Hi HN, TamedTable is an LLM harness for data ETL. And yes, it was developed using AI, meaning you can take the entire specification and recreate it to your desires: https://github.com/ZSvedic/TamedTable Comments URL: https://news.ycombinator.com/item?id=49142102 Points: 1 # Comments: 1

Article URL: https://chrismorgan.info/atom%3Erss Comments URL: https://news.ycombinator.com/item?id=49138897 Points: 58 # Comments: 24

Article URL: https://www.rfc-editor.org/rfc/rfc10015.html Comments URL: https://news.ycombinator.com/item?id=49139711 Points: 55 # Comments: 12

Article URL: https://plug-world.com/posts/2026/asrock-bc250-the-budget-steam-machine/ Comments URL: https://news.ycombinator.com/item?id=49140213 Points: 51 # Comments: 14

Article URL: https://victoriametrics.com/blog/go-1-27/index.html Comments URL: https://news.ycombinator.com/item?id=49140218 Points: 175 # Comments: 50

Article URL: https://github.com/tom-ilan/cycloidal_gearbox Comments URL: https://news.ycombinator.com/item?id=49140396 Points: 114 # Comments: 21

Article URL: https://insider.btcpp.dev/p/when-randombytes-runs-but-doesnt Comments URL: https://news.ycombinator.com/item?id=49140405 Points: 29 # Comments: 10

Article URL: https://rodneybrooks.com/four-time-scales-for-technology-development-and-deployment/ Comments URL: https://news.ycombinator.com/item?id=49140487 Points: 25 # Comments: 4

Article URL: https://www.science.org/content/article/deep-sea-vehicles-spot-alien-sharks-deep-beneath-waves-pacific# Comments URL: https://news.ycombinator.com/item?id=49140599 Points: 41 # Comments: 16

Article URL: http://oldvcr.blogspot.com/2026/08/mklinux-and-pimped-out-apple-workgroup.html Comments URL: https://news.ycombinator.com/item?id=49140702 Points: 45 # Comments: 2

Article URL: https://www.wafer.ai/blog/kimi-k3-mi355x Comments URL: https://news.ycombinator.com/item?id=49141073 Points: 110 # Comments: 15

Article URL: https://www.reuters.com/legal/litigation/australia-defends-teen-social-media-ban-after-study-shows-most-still-online-2026-08-01/ Comments URL: https://news.ycombinator.com/item?id=49141877 Points: 11 # Comments: 5

If you write with AI you already know the tells: the throat-clearing opener, the tidy rule of three, "it's not just X, it's Y." But I was curious to see statistically what models actually produced the most slop, so I made my own opensource benchmark: theslopindex.com Here's how I came up with the benchmark. 1) The Baseline: Slop can only be measured compared to stuff that already existed. So I got corpus of data for various areas of writing (email, social, chat, and essay...

Noticed a pattern: people switch from GPT to Claude, upgrade to a newer version, try a bigger model and the output barely changes. If that's happened to you, the issue usually isn't the model. It's what you handed it before asking the question. Broke it down to three things context actually needs to supply, and most disappointing outputs are missing one of these, not all of them: Current facts the training data can't know: your pricing, this quarter's numbers, a customer's actual history...

Disclosure: I build Schemity , a desktop ERD tool - this post is from our blog and uses it for the examples. TL;DR: Database views carry real responsibilities - reporting layers, security boundaries, API surfaces - but ERD tools either leave them out entirely (DBML has no view support despite requests since 2022) or draw them as if they were ordinary tables. Schemity displays views and materialized views as read-only entities with italic names and a bold view or mview token in the entit...

I'm building an app with Claude Code right now. The setup is a little unusual. One "commander" session writes the instructions, and separate "worker" sessions implement them in parallel. The commander never touches the keyboard itself. Its whole job is to turn "what to do next" into a handoff prompt that a worker can read and just run with. And that handoff prompt is quietly the scariest thing in the whole loop. The moment I hand it over, the worker trusts it as the spec and starts spr...

The answer arrives clean, well-formatted, and certain. You run it. The config flag doesn't exist. Nothing in the response told you the difference between the parts it was sure about and the parts it filled in. The syntax was right. The explanation was reasonable. The flag had a sensible name and a clear purpose. It just wasn't real. This is a calibration problem, not a trust problem. "Don't trust AI" is useless advice. It tells you to doubt everything, which is the same as doubting nothing...

This is a submission for Frontend Challenge - Comfort Food Edition, Perfect Landing 🍳 Pixel Chef AI — A Memory Kitchen That Learns Your Taste What I Built Pixel Chef AI is an interactive AI cooking companion built around a simple idea: Food is not only about recipes. It is about memories, habits, emotions, and personal taste. Instead of being a traditional recipe generator, Pixel Chef AI creates a complete AI-powered cooking journey: 🧊 Enter the Memory ...

Mainline-friendly products are designed so their board support lives in upstream Linux, U-Boot, and standard build systems instead of a vendor fork. The decision is architectural, not aspirational: it is made when you choose the SoC, design the add-on connectors, and write the device tree — not when the product is already shipping. This article gives the strategic case, the product design rules that follow from current kernel work on hot-pluggable add-on boards, a vendor checklist for tech leads...

This is part of my Building Fluentic Style series, where I’m writing down the design decisions, tradeoffs, and small surprises from building Fluentic Style . It is one thing to make a styling library feel good in a client-side app. It is another thing to make it feel good in Next.js App Router. In a simple SPA-style development setup, most of the styling loop lives in one place: component renders in the browser Fluentic style chain resolves atomic CSS rule is inserted DevT...