“The best microphone in the world is worthless if it’s picking up everything except what you want to record.”
— Wing
You’ve got a decent microphone. Maybe even a great one. But your recordings still sound like amateur hour—keyboard clicks bleeding through, room echoes, that mysterious low-frequency rumble that seems to come from everywhere and nowhere.
Welcome to the reality of signal vs. noise in the real world.
“Summer used to be about putting away the heating bills. Now it’s about calculating if your GPU setup will turn your home office into a sauna.”
— Wing
June 2025, and once again I’m staring at my rig while the temperature climbs outside.
Two years ago, this conversation was academic. Now? My RTX 4090 is generating enough BTUs to heat a small apartment, my power bank collection could run a small electronics store, and I’m genuinely considering whether the latest-and-greatest is worth the environmental reality it creates.
A detailed hands-on review of the McDodo USB-C 67W 20000mAh power bank. Compact design meets laptop-grade charging performance.
“2023 was the warm-up. 2024 is when the floor dropped out and the ceiling rose too fast to see.”
— Wing
By mid-2024, we’re no longer pretending this is experimental.
And it’s all starting to feel… inevitable.
“Back in my day, we overclocked our Pentiums to run Quake faster. Now we’re doing it for language models.”
— Wing, mid-rant, 2022
In the year 2022, a new frontier opened up for hobbyists and developers alike: Large Language Models (LLMs) stopped being pure research tools and started becoming part of the daily build cycle for curious engineers and indie coders. But with that shift came a new dilemma—do you run your AI workloads locally, or pipe them out to the cloud?