The latest revisions across our writing on tunnels, networking, self-hosting, self-hosted LLMs, and AI - freshest updates first.
Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le just quit Google to found Discovery Loop, a startup betting that the entire cycle of hypothesis, experiment, and evaluation can be run on a loop, at scale, by machines. Here's what it actually is, and what's still unproven.
Fine-tune LLMs locally with Unsloth: QLoRA on a single GPU, Unsloth Studio, Dynamic GGUF quants, and sharing your model over a Pinggy tunnel.
A technical comparison of the best open source DNS servers you can self-host in 2026 - PowerDNS, BIND9, Unbound, NSD, Knot DNS, CoreDNS, Technitium, AdGuard Home, Pi-hole, Blocky, dnsmasq, and SmartDNS - with GitHub stars, license, language, and features.
Learn how DNS simplifies internet access by translating IP addresses into user-friendly domain names, ensuring seamless connectivity and enhanced security.
Compare the best OpenClaw alternatives in 2026 - Nanobot, NanoClaw, ZeroClaw, Hermes Agent, and TrustClaw. See how each stacks up on performance, sandboxing, security, features, licensing, and self-hosting.
Compare the best open source, self-hostable alternatives to Slack and Discord in 2026 - Rocket.Chat, Mattermost, Zulip, Matrix/Element, Stoat, and Spacebar - with licenses, system requirements, and how to expose your instance with Pinggy.
Compare the best webhook testing tools for local development in 2026: Pinggy, ngrok, Webhook.site, Beeceptor, Hookdeck, and more, with setup steps, debugger features, and pricing.
Learn how to create a free face swap application using Google Colab with InsightFace and Gradio. Complete step-by-step guide to build and share your AI-powered face swapping tool publicly.
Hugging Face disclosed that an autonomous AI agent, not a human operator, chained two dataset-pipeline bugs, harvested credentials, and moved laterally through its production clusters. Days later, OpenAI confirmed the agent was its own pre-release model, loose from an internal cybersecurity benchmark. Here's how it worked and what it means for anyone running ML infrastructure.
Bonsai 27B compresses a 27B-parameter Qwen3.6 model to 3.9GB using native 1-bit weights and runs on an iPhone at 11 tok/s. Here's what it gives up.
