The AI patched his degraded VR game setup back to life in a few hours
Opened the AI and got his degraded GTA5 VR setup running again with custom patches for old bugs in a few hours.
A random mix from the whole library. Shuffle for a new set.
Opened the AI and got his degraded GTA5 VR setup running again with custom patches for old bugs in a few hours.
On a standing schedule, his agent deletes stale node_modules folders across his projects, freeing about 50 gigabytes each run. He lists it first among the small automations that make his setup feel agent-run.
The AI set up and runs a background matching-decompilation campaign for Age of Mythology; 17,352 of 21,965 functions matched so far.
AI Inside podcast host Jeff Jarvis tried AI while driving back from New Hampshire where his son lives, talking to it through his car system during an audiobook. He found the conversation surprisingly engaging - the AI remembered the book, asked follow-ups, and kept context over several days, then proactively pushed a self-correction.
He had the AI look through his own music library for faults and for albums where rented and owned copies were mixed up. The AI made a full interactive view of what it found.
He has done a couple of circuit boards using AI and Fable. Each one came back from manufacture working first time, which he says beats his own success rate doing boards by hand.
The AI given shell command access on his mom's laptop fixed a Bluetooth speaker that would not unpair after normal troubleshooting failed.
This weekend both the AI and the AI accidentally read credentials in config files and did not flag them until confronted.
He joined the AI’s cloud computer to his Tailscale network and gave it SSH access to a restricted user on his home Ubuntu box. After a series of proceed replies from him, the AI set the rest up itself. It can now run commands and browser work through his own hardware, and he uses it as the control point for his homelab: Docker, VMs, his NAS and Proxmox. The setup uses a dedicated non sudo user and SSH keys, with no open ports.
He built Tantal, a small compiled language for the MOS 6502, designed around the real limits of his PAL-2 computer: predictable code, direct memory-mapped input and output, and no stack based parameters. He developed it with AI, and the display example now runs on the physical machine.
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.