Botmonster Tech

GPT-5.5 launched on April 23, 2026, and two weeks of Reddit reception split along three fault lines that no aggregator roundup captured cleanly. A leaked Codex system prompt forbidding “goblins, gremlins, raccoons, trolls, ogres, pigeons” went viral on r/ChatGPT (856 votes) and r/OpenAI (1.2K votes) before OpenAI’s own post-mortem dropped. Doubled output pricing at $30 per million tokens drew the loudest dissent on r/OpenAI’s launch thread , and a measurable 5.4 holdout faction emerged around hallucination regressions on factual recall workflows. This post is a Reddit-only community-reception snapshot bounded to the first 14 days.

You can shrink your Linux server’s attack surface in about 30 minutes. The recipe is simple. Harden SSH with Ed25519 keys, set up nftables with default-deny, turn on auto security updates, run auditd for kernel logs, and lock down accounts with faillock. A typical Lynis score jumps from 55-62 on a stock install to 75-84 after these changes.

Each section below takes 3-7 minutes. Work through it top to bottom on a fresh server. You will have a solid security baseline before your first app deploys, whether that is a database or a privacy-respecting analytics instance .

AI test generators make it easy to hit 80% or even 90%+ line coverage. Point GitHub Copilot at a codebase, use the @Test directive, and watch it write hundreds of test methods by itself. The number looks great on a dashboard. But line coverage only measures execution, not detection. A test suite can run every line of your code while checking nothing about whether that code is correct. In one 2026 experiment, an AI-built suite scored 93.1% line coverage but only 58.6% on mutation testing. Over a third of realistic bugs slipped through undetected, with CI green across the board.

Wire a Shelly 1 relay in parallel with your existing garage door opener’s wall button, attach a reed switch for open/closed state detection, and integrate both with Home Assistant . That is the whole project. You get remote control, auto-close timers, arrival-based opening, and departure-based closing for under $20 in hardware, without replacing your existing opener or voiding any warranties.

This approach works because nearly every residential garage door opener - Chamberlain, LiftMaster, Genie, Craftsman - uses the same basic control mechanism. The wall button shorts two low-voltage wires together, and the motor responds. The Shelly relay replicates that button press electronically. Your physical wall button keeps working; the relay just adds a second way to trigger the same circuit.

The Home Assistant Energy Dashboard shows you where your power comes from, where it goes, and what it costs. If you have solar panels and a battery, it’s the best way to track output, storage cycles, grid flow, and per-device use, all without your inverter maker’s cloud app.

Setup takes care, though. The dashboard wants specific sensor types with specific attributes. Get those wrong and you get blank graphs or wildly wrong numbers. Below: the sensor rules, how to wire up popular inverter and battery brands, the dashboard setup itself, and some custom sensors for deeper insight into your solar setup.

AppDaemon 4.5.14 is a Python runtime that runs next to Home Assistant . It lets you write rules as full Python classes. You get state machines, scheduling, outside API calls, and logic that YAML can’t handle. Install it as a Home Assistant add-on, drop a Python file in the apps folder, define a class that inherits from hass.Hass, and use callbacks like listen_state() and run_daily() to drive multi-step flows, saved values, and live data.