When I asked AI to colorize old family photographs, it gave my brother eyebrows that aren't on the negative. That's when I started thinking less about color and more about information.

internal fragmentation in memory - explained

Next-gen container runtime with zero-copy DAG storage and P2P image sync. Run OCI images as Linux containers, Firecracker microVMs, or Apple Silicon VMs. - pullrun/pullrun

ANSI escape sequences were designed for terminals, not for language models. They are invisible control codes that tell a terminal to change colors, hide text,

Selfie video gives you more options if you’re ever locked out or don’t have access to your usual phone or computer.

Learn how escape analysis works in Go, why values escape to the heap, and how to inspect the results with or without GoLand.

A medical doctor implemented a Lisp on the Linux kernel with direct system calls without even a C stdlib dependency.

A full-featured web browser for the terminal using Chromium (CEF) with support for Sixel and Kitty graphics protocols.

Richard Hamming famously used to ask his colleagues at Bell Labs this question: “What is the most important problem in your field, and why aren’t you working on it?” To which they probably replied, “Look, Dick, it’s eight-thirty in the morning. I haven’t even had my coffee yet. Who starts a conversation like that?

Which LLM models write alike? A heat map built from their words alone.

Researchers across domains have investigated children's use of LLM-based chatbots through various perspectives and methodologies. However, prior research remains fragmented regarding anthropomorphism, the tendency for children to assign human characteristics to those large language Model (LLM) chatbots as non-human objects. By analyzing 35 empirical studies published between 2022 and 2025, this systematic literature review identifies the drivers of anthropomorphism in children's LLM chatbot interactions and the subsequent outcomes of these interactions. We found that human-like persona construction, adaptive scaffolding, supportive companionship, and non-human embodied design drive children's anthropomorphic interactions. Additionally, five anthropomorphic outcomes emerged, including children exhibiting paradoxical social and moral responses, dual consciousness about the chatbots, forming varying social ties, exploring social boundaries, and attributing human narratives to conversation breakdowns. The findings, including both benefits and risks, can inform the future design and development of LLM chatbots focused on children's well-being and promoting sustainable interactions that meet children's developmental needs.

Developer, finance, text, conversion and image tools, all running free in your browser.

[ICLR 2026] A simple state update rule to enhance length generalization for CUT3R - Inception3D/TTT3R

Zero encoding extreme performance binary serializer for C# and Unity. - Cysharp/MemoryPack

A vulnerability in macOS allows an attacker to silently replace the main executable of any application downloaded from the web without requiring elevated privileges. As a result, trusted applications can be made to execute attacker-controlled code without triggering security warnings when relaunched. Apple assessed the reported behaviour as not requiring a security fix.

Website for the art installation that allowedanyone on the internet to view and interact with a remote garden filled with living plants

Build a 365-day rhythm with small daily actions and private memories. Available now for iPhone and iPad.

LeRobot has emerged as the dominant open format for robot learning data, but decoding frames is expensive. Here's how we made Daft's native LeRobot reader up to 15× faster.

The Museum of the Human Web preserves the cultural artifacts that shaped internet history.

Mirror your laptop in VR. Contribute to ThatXliner/NerdLens development by creating an account on GitHub.

A tutorial that teaches you everything it takes to render 3D graphics with the Vulkan API. It covers everything from Windows/Linux setup to rendering and debugging.

Honey bees (Apis mellifera) play a crucial role in agriculture and ecosystem stability as key pollinators of crops and wild plants. As such, monitoring hive strength remotely with Internet of Things (IoT) sensors has become a crucial task. Previously, handcrafted features extracted from the modulation spectrum of audio IoT devices were shown to improve acoustic monitoring of colony strength. In this paper, we hypothesize that important discriminative information is present in the temporal dynamics of the modulation spectrum, but this information is discarded with prior methods. As such, we explore the use of a new modulation tensorgram where the time dimension is kept. This new representation is used as input to a convolutional neural network (CNN) and a convolutional recurrent deep neural networks (CRDNN). Using the public UrBAN dataset, which contains more than 3,000 hours of beehive audio recordings, we show that the proposed method improves both accuracy and cross-hive generalizability over prior benchmark methods, and the results further suggest improved robustness to noisy in-the-wild recording conditions. We use saliency maps and gradient-weighted class activation maps for explainability and show the importance of the modulation spectral temporal dynamics for the task at hand. Overall, our results suggest that accurate, generalizable, and robust acoustic monitoring of honey bee colony strength is possible.

The music Bernard Herrmann wrote for The Wrong Man is diffident, sometimes almost unnoticeable. His score for Hitchcock...

Overview

A deep dive into an advanced, minimal NixOS setup using LabWC (Wayland compositor) + Noctalia Shell V5 (from Cachix, not the official NixOS repo), assisted by opencode with the DeepSeek V4 Flash model for AI-guided configuration.

The result? A desktop that boots at 743 MB RAM with only 48 active