A random mix from the whole library. Shuffle for a new set.
His role was cut on Tuesday morning, 22 September. That evening he asked the AI for something fun, gave it one standing instruction to go forward and only pause when his input was needed, and by 6:37 the next morning a three stage beat em up about the job hunt was live on the internet, with his real CV linked from the end card.
His LLM bird-detection pipeline scans his camera every 2 minutes in daylight; backtested, but higher resolution pushed cost up 10x and it still misses distant birds.
Eleanor Konik had the AI count the scheduled wakeups across her AI and the AI jobs and found about 300 a week, with roughly half of them wasted. One round of checking, done with AI's help, got the count to about 140 a week with no coverage lost, and about 128 of the old wakeups were just a bot noticing it was 2 AM or a Saturday and going back to sleep.
He spent about 5 minutes picking the mods he wanted for GTA4. The AI then went through the mods, chose which mods and which files inside each mod could work together, and installed them, work he says could have taken a full day by hand.
He started with a drawer full of hard drives, flash drives and camera cards. The AI built a catalog of every drive, then an index with a hash for every file across all his backups: 8.1 million files, 3.6 million of them unique, going back about 20 years.
Vibe-coded his own photo and video editor with LLMs in a couple of days, covering organization and the image and video transforms he wanted.
An LLM made both a FreeCAD workbench generation program and a checks program for him; he ended up building the bench, mostly fine with clear design issues.
He had the AI vibe code a version of smitty, the AIX system admin tool, for Linux in Python. He says that alone is worth the 20 dollars a month he pays.
He downloaded the firmware of a popular Eurorack module, had the AI reverse engineer it, and then build a Max4Live device that runs the same logic. The whole job took 10 minutes and cost 10 dollars in tokens.
She wrote an AI script that transcribes her French tutoring recordings and measures the speaking balance between her and her tutor. Her speaking share has improved over the sessions since she started tracking it.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.