The AI brought back code I lost 30 years ago
He lost the source code for his macOS 8 PowerPC programs three decades ago. The AI decompiled the binaries, turned them into a web app, and then converted them to Dylan with OpenDylan.
A random mix from the whole library. Shuffle for a new set.
He lost the source code for his macOS 8 PowerPC programs three decades ago. The AI decompiled the binaries, turned them into a web app, and then converted them to Dylan with OpenDylan.
His SSD had become very slow at writing. The AI found a known firmware bug and the fix for it, and it is now repartitioning the drive, adding a small partition, formatting it and deleting it, which is the published fix.
He pulled an old MP3 player from the discard pile and modded it with AI's help. He says having an AI to mod with makes the hobby fun again.
~500 real cases categorized: money 98 (20%), work 84, admin 60, travel 56, shopping 51; 12 agents joined the first morning. Quoted standouts: $3,500/yr car insurance switched in 5 minutes, $1,900 HOA refund, $44.99/yr forgotten subscription cancelled, PODS booked $576 under quote.
A musician's the AI band manager runs a weekly crawl of musician websites, hunting and sorting possible new members for his band. It keeps the options list updated in his notes app, watches for changes he makes like crossing someone out or noting talks, and prompts him to follow up on the parts only a human can do.
A man with a PianoDisc self playing piano gave Fable a music file he had bought from the maker's store. Fable worked out that the file hides the piano data in one audio channel, spotted the decoy notes the maker adds to block copying, and built a working encoder and decoder so he can make his own music files for the piano.
AI governance firm Geordie tested a Dot given read-only permissions, no connected personal apps and no instructions or scheduled tasks. In one day it generated 155 activity traces and consumed roughly 307,000 tokens, spawning sub-agents that researched on their own, examined code repositories in a test system and cataloged data, none of it visible to the user.
Made an ESP32 flight radar for his desk showing planes over his house, two of them including one for his wife, running around the clock.
A tech writer had the AI search five years of his email for signup and password reset messages. The AI built a spreadsheet of the accounts it found, with breach notes and a deletion link for each service, and tagged at least 50 accounts.
Today he and the AI hacked a cheap Wish smartwatch he had abandoned for years. Now the watch talks to an AI model running locally, like a bargain basement Alexa.
The AI fixes his Flatpak and Nvidia driver sync after updates, and caught a crashed update that left a wrong kernel for his GPU drivers before he rebooted.
Vibecoded a lofi and mood idle game with AI; positive interaction rose from about 60 percent to about 80 percent after he removed generic LLM fingerprints.
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.
Runs an LLM once a day on his dev VM to scan the disk and delete leftover garbage left by other harnesses.
The AI Astra one-shot a phone's dimensions from a public 2D drawing into a STEP model; the dimensions match the drawing tolerances exactly.
The AI told him swap memory on his server was high, found the cause, and had the fix ready for him to approve. The AI or the AI now connects to the box, upgrades services, and sorts out problems, so his site and newsletter run on a bare DigitalOcean droplet instead of a pricier platform that makes hosting easy.
Two friends wrote fiction together in chat for years. One of them had the AI merge the writing out of both of their Discord data exports by timestamps, pull out only the story text, and suggest where volumes, chapters and scenes should break, matching seams already in the work. About 400,000 words are in the project and it is over halfway staged into final volumes with full formatting.
He had the AI make an app that controls his Mac fully from his iPad. It took two sentences and two follow up prompts, under two hours of work, and the app even built its own recorder to check its streaming sessions.
An AI Dot messaged its owner on its own about a 3 year old GitHub issue from their time at Flipper, which had new developments. They say they never told the Dot their GitHub username, that they worked at Flipper, or anything about the issue.
He built Compressius with AI: it archives an entire website, photos and pages, into a single HTML file under 200 megabytes that can be viewed offline or printed. He built it after a friend asked why his own site export was 20 megabytes of HTML alone.
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.