Linux From Scratch Installation Notes

The Assistants Are the Audience Now

For most of a year I read my own traffic wrong. I watched human visitors, search clicks, and session depth, and I treated the bot rows in the logs as noise to filter out. Then I actually added them up. On a representative day my site served about 301 human visitors and roughly 19,800 requests from AI agents. The agents were not scraping me for training. The largest single source, by a wide margin, was ChatGPT fetching my pages live to answer someone’s question in that moment. My real audience

Free Rust Tutorials in French

Hello to the French-speaking community on this subreddit I'm currently working on a project to make it possible to learn Rust in French completely free of charge and in a simple way I could use some help to make faster progress on this project and make the guide comprehensive https://github.com/learn-rust-france submitted by /u/AdQueasy5574 [link] [comments]

Python 3.15's Ultra-Low Overhead Interpreter Profiling Mode – Ken Jin's Blog

Quiz: Exploring Python's Built-in Functions

In this quiz, you’ll test your understanding of Exploring Python’s Built-in Functions. By working through these questions, you’ll revisit Python’s built-in functions for math, data types, iterables, and input and output, and you’ll sharpen your sense of when to reach for each one to write more Pythonic code. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more a

Advancing next-gen AI with materials science innovation

The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI technology demands more processing power, more memory, greater energy efficiency, and higher reliability. Every increase in computing performance increases the physical demands placed on the sy

Abhisek Goswami: PostgreSQL vs Destructive Time Travel: The Year 2038 Problem

Time, Physics, Mathematics, and Databases Physics treats time as one of the fundamental dimensions of the universe. Mathematics transforms time into measurable values, equations, intervals, and limits. Databases quietly preserve time as operational reality. Every login, transaction, API call, backup, audit event, financial transfer, and monitoring alert depends on accurate timestamps. Modern computing runs on time far more than most people realize.  A cloud-native application serving mill

How to Optimize SQL Queries: 20 Proven Best Practices

Slow queries drag down every app. Learn 20 proven techniques to optimize SQL queries in PostgreSQL - indexes, covering indexes, sargable filters, smarter joins, materialized views, functions in where,

Flight Planning with Little Navmap

A PHP server that can handle 10x as many concurrent requests as Nginx+PHP-fpm

Deterministic Replay for AI Agent Systems

arXiv:2607.16200v1 Announce Type: new Abstract: AI agent systems that couple large language models (LLMs) with external tools and APIs are inherently non-deterministic: LLM sampling variance, external API state, CDN infrastructure headers, and execution-environment noise collectively prevent any prior agent run from being faithfully re-executed. Existing observability platforms capture execution logs but cannot reproduce a run in isolation. We present agrepl, a developer-first CLI framework for

Generative Ontology Induction: Domain-Agnostic Schema Discovery from Document Corpora Using Large Language Models

arXiv:2607.16201v1 Announce Type: new Abstract: Ontology engineering remains a critical bottleneck in knowledge-intensive AI systems. Existing automated approaches either depend on predefined schemas, operate within narrow domains, or produce unstructured outputs unsuitable for downstream pipelines. We introduce Generative Ontology Induction (GOI), a domain-agnostic framework that induces a generative blueprint - entities, dimensions, properties, relationships, and constraints - from a corpus

Democratizing AI with Small Language Models: Structured Benchmarking and Parameter-Efficient Fine-Tuning for Local Deployment

arXiv:2607.16202v1 Announce Type: new Abstract: AI democratization is not primarily a question of matching frontier-scale generality; it is a question of whether capable models can be selected, audited, and specialized under hardware and governance constraints that ordinary institutions can actually satisfy. This paper studies that problem through a controlled evaluation of nine open-weight language models between 135M and 3B parameters on a 1,085-example, 16-topic multiple-choice benchmark des

Bash for Browser Frontend

The title is bait. It is also, annoyingly, true. If you have a terminal within reach, run this: What comes back is not a screenshot of the site and not a dump of its text, but the site itself, made navigable, so that the arrow keys scroll it, Tab steps between its links, Enter opens a post, and the y key copies a code snippet to your clipboard. If you would rather stay in a browser, the same program runs there as well, either at the terminal version of the site or through the small $ [] switcher

Some Large Language Models Exhibit Consistent Risk Attitudes

arXiv:2607.16197v1 Announce Type: new Abstract: As artificial intelligence systems are deployed in open-ended, high-stakes settings, a critical dimension remains unmeasured: how perceived risk is translated into action. We test whether large language models (LLMs) exhibit systematic and consistent risk attitudes under uncertainty. We introduce a cross-domain framework that decouples contextual risk belief from categorical decision, and apply it to six representative LLMs and 100 human participa

OpenCircuitX

Clarifying the Measurement Problem

In quantum physics, there's the concept of the Measurement Problem. This basically states that measuring a quantum system which is in a state of superposition will collapse the wave function. Collapsing the wave function has the effect of altering the state of the observed system. This has given rise to people misinterpreting human observation as having a supernatural effect on a quantum system. In other words, there are no shortages of people who believe that human consciousness can affe

Christophe Pettus: All Your GUCs in a Row: file_copy_method

PostgreSQL 18's `file_copy_method = clone` can copy a terabyte database in half a second on copy-on-write filesystems. Here's when and why you should use it.

Show HN: The0 – self-hosted runtime for trading bots, bring your own language

Learning Rust by rebuilding Linux utilities (no AI). What should I watch out for?

I'm starting a personal learning project called owl-utils. The goal is to build a modern Linux toolbox by gradually implementing utilities like cat, ls, tree, du, find, grep, ps and top behind one consistent CLI, configuration format, query language and human/JSON/JSONL output. UX-wise I'm taking inspiration from projects like bat, eza, Nushell and Fish, while still keeping each utility focused on doing one job well. I'll start with `owl cat` and build one command at a time so I don't overengine

The Psychology of Software Teams

Introducing pgLantern, a Postgres Archive API

I've been looking for a way to start exploring the PostgreSQL source code. The code is extremely well linked, with every commit linking to a message or a thread, and the message archives linking to patches. However, none of those links can be scripted or queried, and the archives are huge. So I'm introducing pgLantern, which is my solution in the form of a free API connected to a pipeline that stitches together all the commits and messages across the entire PostgreSQL community and then, crucia

Postgres 19 Compression: from pglz to LZ4

Cloudflare Internal DNS is now generally available

Starting today, Cloudflare Internal DNS is generally available. Cloudflare Internal DNS provides authoritative and recursive DNS for private networks on the same global network and control plane customers already use for public DNS, Zero Trust, networking, and application services.Internal DNS — sometimes also referred to as private DNS — is one of the last pieces of enterprise infrastructure still managed separately from the rest of the network. Many organizations operate one platform for p

AI, Vim, and the Illusion of Flow

Who needs a real-time database?

X relaunches a rebuilt Android app after year-long effort

Making `wc` 20x faster with parallel state machines

A few years back, I came across Robert Graham’s wc2 repository on GitHub. wc2 is an implementation of the Unix wc command that is significantly faster than the existing GNU and BSD wc implementations. It achieves its speed by using something called a state machine. The repo contains a nice write-up that explains some things, but doesn’t explain how the program actually works. I wrote this post to explain all of that.

Agent swarms and the new model economics

Scaling document classification to 100k+ labels

Across Databricks, thousands of customers build production workloads that map freeform...

AI Transparency: Governance, Explainability, and Data Practices

AI transparency is the practice of making an artificial intelligence system's data, model behavior...

Responsible AI: Governance, Principles, and Practical Guide

Responsible AI: Governance, Principles, and Practical GuideResponsible AI is the...

AI Compliance: Frameworks, Risk Management and Implementation

AI compliance refers to the policies, controls and oversight processes that ensure...

Why business transaction monitoring matters for web app performance

Learn why infrastructure monitoring misses real user-facing failures, and how business transaction monitoring closes the gap with traces and P95 alerts. Continue reading Why business transaction monitoring matters for web app performance on SitePoint.

Ziggity – A terminal UI for Git, written in Zig

Over 30% of new ArXiv submissions now read as AI-written

A deep dive into my Forgejo setup

The Reverse Information Paradox (Satya Nadella)

Upcoming Changes to the Nearby Connections API

Posted by Wei Wang, Engineering Manager, Android BeTo User privacy and transparency are core to the Android experience. To better align with these principles, we are updating the default behavior of the Nearby Connections API regarding how it interacts with device radios. What is changing? Previously, the Nearby Connections API could automatically toggle Wi-Fi and Bluetooth radios ON to facilitate connections without explicit user intervention. Moving forward, the API will no longer automati

Controlling Reasoning Effort in LLMs

InvisiCaps: The Fil-C Capability Model

The three ways AI unlocks transformation in Retail, Travel, and Consumer Goods

It is 5:45 on a Friday morning, and a store manager is standing in the back office...

At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI

At this year’s SIGGRAPH conference, running through Thursday, July 23, in Los Angeles, attendees can discover how leading graphics research, neural rendering, simulation and AI are transforming how worlds are created and understood by people and machines. The NVIDIA keynote, taking place today, July 20, at 3:45 p.m. PT, will feature NVIDIA AI research and engineering leaders Neil Ashton, Edward Liu and Ming-Yu Liu discussing neural rendering techniques, world models and simulation methods for

Why AI Detection Should Not Replace Code and Content Review

null Continue reading Why AI Detection Should Not Replace Code and Content Review on SitePoint.

Rust for Morello: Always-On Memory Safety, Even in Unsafe Code

Firefox 153.0 Beta

Using NumPy reshape() to Change the Shape of an Array

The main data structure you’ll use in NumPy, Python’s core library for numerical computing, is the N-dimensional array. Sometimes you need to reorganize the values in a NumPy array into a different layout. That’s what NumPy’s reshape() is for. It changes an array’s shape without changing its data, so you can fit the same values into whatever configuration your program needs. By the end of this tutorial, you’ll understand that: You reshape a NumPy array by passing a compatible shape

Perfection Is Not Over-Engineering

Building OctoGo: A Go-like Language Where Goroutines Are Cores

The last few posts here have been about pieces of a toolchain without saying what they were for. egg, the LL(1) parser generator. The flat AST and the ergonomics of walking one when you have decided that allocation is the enemy. And underneath both, ccgo, which turns C into Go. This post is what they were (also) for. OctoGo is a Go-like language for the Parallax Propeller 2. egg generates its parser. Its AST is a flat []int32. Its backend is a C compiler that ccgo transpiled into the binary yo

Server Migration

You’ve moved! From a datacenter on us-east1 into my house! You’re currently sitting by a window, looking at the beautiful Galician rain. That’s right, this blog is now officially self-hosted. I’m moving everything into my little itty-bitty Raspberry Pi 5, maybe I’ll do some load-balancing with an old laptop. Yes, that’s it.

Here’s How We’re Using AI Analysis in Developer Tooling

On a recent project, I watched a team spend the better part of a week tracking down a single regression. The pipeline was a long-running simulation suite. Each test run took hours. There were dozens of commits to check, and the only way to check them was manually: run the sim, wait, evaluate the result, pick the next commit, repeat. By the time they found the offending change, the team had burned days on a problem that felt like it should have been automatable. It was. But the automation would h

Vogls: A Verilog Simulator

Hello nice people of Reddit, For the past 7 months, as part of my PhD, I have been working on a Verilog simulator, and since the paper just got accepted, I can finally share it. Verilog is the language used to describe hardware designs, especially heavily as you get closer to the final gate-level netlists. Vogls takes these designs and simulates them according to the Verilog 2005 scheduling semantics. Repository: https://codeberg.org/coastalwhite/vogls Preprint: https://arxiv.org/abs/2607.15782

Airbus Takes Flight from AWS

How AI Can Improve Agile Development Without Replacing Human Judgments

null Continue reading How AI Can Improve Agile Development Without Replacing Human Judgments on SitePoint.

Xiaomi-Robotics-1

Hans-Juergen Schoenig: Moving to pg_hardstorage without changing your recovery strategy

Changing a PostgreSQL backup solution involves much more than installing a new binary. Backup repositories, retention policies, recovery procedures, operational runbooks, and compliance requirements have all been built over time. Any migration needs to fit into that operational landscape while preserving confidence in recovery. That thinking shaped the migration approach behind pg_hardstorage. Built around Operational Continuity Every PostgreSQL environment has its own operational requirem

How proprietary formats have become Microsoft’s main tool for lock-in

Am I the only one who finds auditing AI-generated Rust way more exhausting than just writing it?

Hey everyone, I know this isn't a direct question about Rust syntax or a new crate release, but I wanted to get the perspective of the low-level and systems engineers in this community, since the way we have to reason about memory and safety is a bit unique. With Linus Torvalds recently defending and leaning into AI tools for Linux kernel development, I’ve been trying to force myself to use LLMs more in my daily workflow. On one hand, if the systems world is adopting it to find bugs and speed

Theory of constraints, AI, and code review

No matter how much code you create, it's zero value until you ship. Writing code, building features, moving tickets, they're all vanity metrics. None of it matters until users can do something they couldn't do before. With AI you can produce more code faster than ever before. And it doesn't matter. I bet you're still shipping at about the same speed as before aren't you? We can see this in the data! You can feel it by looking around. Everyone talks about using AI, burning tokens, and doing work,

Adaptive Retrieval Strategies for Biomedical Question Answering

arXiv:2607.15283v1 Announce Type: new Abstract: Biomedical question answering (QA) encompasses diverse question types, including yes/no, factoid, list, and summary questions, each requiring distinct forms of evidence and reasoning. However, most retrieval-augmented QA systems rely on a unified retrieval pipeline, regardless of the information needs of different question categories. This one-size-fits-all approach may limit the effectiveness of evidence acquisition and downstream answer generati

Reporting Web 3D Capabilities on a Budget of $3 a Month

I run Web3DSurvey.com as a community service. It collects real-world WebGL, WebGL 2, and WebGPU capability data so 3D web developers can pick features from measured support rates instead of guessing. I have written about why I built it and what the v2 rewrite added. This post is about a different question people keep asking me: what does it cost to run, and how does the pipeline hold up? In April 2026 the services that serve the site and store the data cost about C$3. During June 2026 the collec

Who’s responsible for bug reports on old software versions?

Trust Stores need updates too

In contemporary IP network connected devices, encryption is a requirement. Not just on inbound connections for administration, but outbound integrations as well. Those updates obviously includes adding new protocols when they are new, as well as removing older protocols when they are dangerous to keep using (though there is some wiggle room there if users … Continue reading "Trust Stores need updates too"

Compiled List of over $1000 in AI/GPU/LLM Credits (100% Free)

Native SDK from Vercel

Forget the model. When it comes to cybersecurity, it's all about the harness

Why Your Dashboard Is Lying to You (And What Actually Works)

Why Your Dashboard Is Lying to You (And What Actually Works) A shipping route changed on us last year, and I heard about it from a person, not a dashboard. A logistics contact mentioned, almost in passing, that vessels on a lane we depend on were quietly rerouting. It was weeks before any of it showed up in a freight report. That one conversation was worth more than any forecast we were running, because it let us move before the cost did. We adjusted sourcing while everyone still working off las

Biggest Probabilistic Computer Turns Noise into Answers

Principia Artificialis – Mathematical Foundations of Artificial Thought

The Control Group Is Out of Control (2014)

I argued with the father of open source for 2 years Now the AI fight is the same

From Muon to Gradient Clipping: Some Thoughts on QK Stability

HomeLab #1: MikroTik as a Home Router

Building an Arch Linux Aarch64 Port for Holo Core

Dependable C

The Consensus Weekly, July 19, 2026

Hey folks! The Consensus now supports email alerts (daily, weekly, monthly) on jobs, funding, and our third-party feed. You build up filters and add them to your watchlist and pick the frequency to receive digests. This is available for subscribers at the Standard tier. We also shipped a denser view

Observing Go's garbage collector, old and new

Go 1.26 made Green Tea the default GC. We observe its cache-friendliness with perf, visualize the heap to see how Go allocates, and poke at a sparse-page problem a non-moving collector like Go's struggles with.

Holding the LLM Stack in Your Head

NetworkManager resetting hostname to localhost.localdomain

I explain (as best I can) how I figured out what screwed up my machine’s hostname the day before a vacation. July 8th, I’m getting ready to be out of town, and doing a few updates to my daily driver (beefy PC running Gentoo). There’s a kernel update available, and I want to reboot and make sure everything comes up so it will be accessible via TailScale while I’m out of town. Imagine my surprise when the reboot shows the hostname as localhost! Well, that’s odd, I think—must be the

Resting heart rate 68 to 56: what changed in my dev work

I normally write about web frameworks, WebAssembly, and JavaScript internals. And I normally don't publish on a Saturday. But I've been wanting to write this for a while and today I woke up inspired, so here it is. This isn't a technical article. It's personal. But I genuinely believe it can help a lot of people, especially developers and founders who spend long hours in front of a screen and feel like their brain gives up before their schedule does. I want to talk about the things that changed