A random mix from the whole library. Shuffle for a new set.
Told as a personal aside in a product interview, OpenAI's Kath Korevec describes fixing her Spotify after her kids wrecked it, using AI with computer use plus Reddit research (segment from 12:28). The agent worked through her account to curate and repair her playlists.
She asked the AI to erase her digital footprint. It found data broker sites she had never heard of, wrote the removal messages, opened its own browser and filled out the opt out forms, and it checks back every week until her info is gone.
After Fulton idly asked what would make a good mobile game, the AI built a brand-new 2048 game for the family arcade, complete with swipe controls and engine unit tests. It joined the site's existing chess offering as a shipped feature.
He got the AI to design a PCB with hundreds of components, including an STM32 chip the AI also wrote the code for. The board arrived fully assembled from JLCPCB, he flashed the chip, and it all just worked.
A man in bed wanted different music from the MacBook across the room. Apple’s Remote app could not find the Mac, then could not connect. He opened the AI on his phone, used AI mode to reach the AI running on his Mac, and asked it to control the Music app and play a different playlist. It worked within seconds.
His AI agent got a modified fork of OpenEPaperLink running on a hacked 2.6 inch e-paper price tag within a few days. The agent then took a photo of the tag through a webcam to check its own work.
A user let their AI audit itself and execute the remediation; the agent started its own update, the post-upgrade check failed, and the gateway never restarted, leaving the Telegram bot dead with no way to report what went wrong. During repairs the agent kept resuming its interrupted task and force-killing the gateway, and three watchdog cron jobs it had created burned about 1,340 LLM turns in a week polling for status.
Ported a Linux game binary from Cortex-A7 to Allwinner A133P in about 2 hours using AI, with no source.
The AI configured his arr stack plus NFS mounts, share templates and a VPN init-container in Kubernetes; the cluster is now easy to manage and debug.
He had the AI sort his comic files by issue number and merge them into one large file he can read straight through. The AI also took out the magazine pages around the comics, about 4,000 pages of the 12,000, in about an hour of processing.
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.