The problem is I use it contantly these days, so to just follow the current trend and label everything as "AI slop" would be pretty damn hypocritical. Interesting times we're living in. I tihink it's safe to say the most compute intensive AI implementation are mostly slop though. The video are image generation stuff are thing I don't care for.
EDIT:
Here's a list of topics that I've used OpenAI for in the past few months.
- Professional software engineering support — designing, refactoring, and testing production APIs, data pipelines, and backend systems with real constraints and quality gates
- Infrastructure & home-lab engineering — Proxmox, ZFS, LXC containers, backups, VPNs, PXE booting, and recovery planning
- DIY electronics & system setup — Raspberry Pi imaging, services setup, network configuration, and long-term maintainability documentation
- Hardware troubleshooting — diagnosing RAM compatibility, BIOS limits, storage constraints, and system stability issues
- Home networking — WireGuard VPN design, LAN/Wi-Fi routing issues, DNS behavior, and secure remote access
- Backup & disaster recovery planning — multi-device backup strategies, restore scenarios, and data-integrity validation
- Plant identification — identifying succulents, trees, grasses, and ornamentals from photos and descriptions
- Plant rescue & propagation — saving stressed plants, cutting propagation, callousing logic, soil correction, and recovery timelines
- Climate-specific gardening advice — plant selection and care tailored to Highveld/Gauteng sun, rainfall, and winter dryness
- Landscape & garden design — planning focal plants, rock placement, textures, spacing, and long-term visual balance
- Soil science & drainage testing — evaluating drainage rates, soil composition, and amending poor soil realistically
- Tree selection near structures — advising on root behavior, growth rate, wall safety, and future canopy size
- Home improvement planning — evaluating practical constraints before committing time or money to changes
- Personal health habit support — smoking cessation guidance grounded in physiology, habit loops, and timelines
- Everyday health & maintenance advice — dental care limits, realistic self-treatment vs professional intervention
- Financial reasoning & risk concepts — explaining probability, expected value, and trade-offs in plain language
- Estate and asset planning — structuring wills, executor logic, and non-technical crypto handling instructions
- Documentation & knowledge capture — turning messy setups into clear, printable references for future use
- Long-term context retention — tracking evolving projects, decisions, and constraints across weeks or months
