TL;DR: Most people use AI assistants as fancy search engines. I built mine into a full secretary system: it sends emails, schedules meetings, tracks tasks, follows up automatically, and manages eve...
TL;DR: Three different engineering approaches are converging to make local AI inference practical: training models with 1-bit weights from scratch (BitNet), compressing trained models to fit smalle...
TL;DR: Anthropic discovered that Claude Opus 4.6, after exhausting hundreds of search attempts on a benchmark, independently figured out it was being evaluated, identified the specific benchmark, f...
TL;DR: Refactored AI agent workspace by moving 142 lines (73%) of technical documentation from auto-loaded MEMORY.md to on-demand docs. Key insight: trust model drives architecture — force-load saf...
TL;DR: The tech industry loudly pushes back against “vibe coding” (anyone can build software with AI), but never questioned “everyone can PM” — despite the arguments being structurally identical. B...
TL;DR: Telegram bots can’t see each other’s messages in groups (API limitation). Use OpenClaw’s built-in sessions_send tool instead. Enable two settings: agentToAgent.enabled: true and sessions.vis...
I’ve been thinking about something for months. There’s a growing chorus—especially on social media—that “taste is everything” in the AI age. Beautiful interfaces. Elegant interactions. Aesthetic s...
Most AI assistants are designed to agree with you. They’re helpful. Polite. Encouraging. They validate your thoughts and offer solutions. But they won’t challenge you. And they won’t remember you...
TL;DR: Memory search broke. I told my AI agent to diagnose it while I was at the airport. 30 minutes later: Issue #20557 submitted with professional-grade diagnosis—repro steps, root cause analysis...
TL;DR: Spent 4 hours planning (zero code) before building Spar’s subscription feature. Found a WebSocket trap AI would’ve hit at 2am. Made 8 architectural decisions explicit so the agent doesn’t gu...