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Dreame’s L20 Ultra robovac is an unbeatable deal for $280

The Dreame L20 Ultra isn’t the company’s newest model, but it’s still a great robovac / mop hybrid that offers strong performance while requiring very little day-to-day maintenance thanks to its included trash bin and AI obstacle avoidance. Verge readers can get for its best-ever price right now. Originally $1,400 when it launched in 2023, […]

2026-06-03 原文 →
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Microsoft and OpenAI broke up — now they’re ready to fight

At Microsoft's annual Build conference on Tuesday, the company announced a slew of new or expanded AI initiatives, including a super app, in-house reasoning models, a cybersecurity tool, and OpenClaw-esque AI agents. All this news added up to a clear message: Microsoft is positioned to be one of the biggest players in AI, and it's […]

2026-06-03 原文 →
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Hello dev — I ship AI voice + web chat on PHP sites (elionmusic.com)

Hi — I'm E Lion (Eric), Hawaii-based builder at Coral Crown Solutions . I ship production code on my own domains—not tutorials: elionmusic.com — 400+ promo pages, vinyl-style player UX, Vapi phone agent + OpenAI "Shine" chat (one knowledge base, unified CSV log, webhook follow-up emails) prayerauthority.com — faith-tech at scale; WebM flying angels , SOAP journal, oracle tools Digital Zion — Three.js metaverse + native 3D desk fork + localhost bridge APIs Stack: PHP 8, vanilla JS, webhooks, JSON-LD / Search Console, ElevenLabs, Playwright, Electron (Shine assistant), Cursor pair-programming. Looking for: peers who respect hard integration work (SMTP, CORS, cPanel, webhook auth) and clients who need a real AI front desk or artist/ministry platform. Live demos: coralcrownsolutions.com · elionmusic.com Happy to give honest feedback on your builds—drop a link.

2026-06-03 原文 →
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Docker on Proxmox LXC: What Actually Works (and Why Unprivileged Doesn't)

The Setup I run a Proxmox 9 homelab (pve-manager/9.0.5, kernel 6.14.8-2-pve) and I needed to run Docker inside an LXC container — not a VM — to test a customer-style "bring-your-own-VPS" deployment path for a PaaS I'm building. The container had to act like a standard Ubuntu cloud VM: Docker, systemd, the works. LXC over a full VM gets me near-bare-metal performance, a fraction of the RAM overhead, and instant boots. The catch: the "Docker on LXC" recipes you'll find on most blog posts and Proxmox forum threads are out of date . They assume kernel 5.x and runc 1.1.x. On a modern Proxmox (kernel 6.14 + runc 1.2+ shipped with Docker 29) those recipes fail in two new and confusing ways before you even reach the workarounds we used to know about. This article walks through exactly what fails, why it fails, and the config that actually works in 2026 — plus an honest look at the security tradeoffs, because spoiler: the working config is privileged , and that matters. The Goal A Proxmox LXC container that can: Run docker run hello-world cleanly Pull and build complex images (multi-stage builds, overlay2 storage driver) Run nested containers with their own systemd Use systemd --user for per-service lingering processes Attempt 1: Unprivileged LXC (the path you "should" take) Conventional wisdom says: use unprivileged LXC. The container's root is mapped to an unprivileged UID on the host (typically 100000 ), so even a full container compromise can't escape to host root. Modern Proxmox makes this the default and recommended mode. I started with an unprivileged Ubuntu 25.04 container, added the now-standard features: pct set <vmid> -features nesting = 1,keyctl = 1,fuse = 1 Then inside the container, installed Docker from the official download.docker.com repo and ran: docker run --rm hello-world Here's what happened: docker: Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start

2026-06-03 原文 →
AI 资讯

When Metrics Become the Target

Metrics and analytical models are a double-edged sword. They make complex systems easier to compare, automate, and reason about. But once a metric becomes important, people start optimizing for it. Not for the reality behind it. For the number itself. This is Goodhart’s law in practice: when a measure becomes a target, it stops being a good measure. submitted by /u/Sad-Interaction2478 [link] [留言]

2026-06-03 原文 →