The AI streamed his desktop's 5.1 sound to his handheld, near one-shot
The AI set up 5.1 surround streaming from his Linux desktop to Steam Deck via Moonlight, near one-shot apart from human speaker checks.
Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
The AI set up 5.1 surround streaming from his Linux desktop to Steam Deck via Moonlight, near one-shot apart from human speaker checks.
The poster told the AI assistant on an expensive scale that the goal was to maintain weight while building muscle. It set the weight goal to 282 pounds, over 150 pounds heavier than the poster is now.
PayPal had told the IRS he had done tens of thousands of dollars of business through it, when the real figure was $150. With its help he disputed the claim and the entire tax bill was eliminated.
A researcher updating his own old question says he now asks his agent to download the papers his reference manager could not get. The agent works in the browser while he is signed in with his school login, and he clicks through the human checks himself.
A scripting skill picks his best idea and writes what he will say. He records about 40 seconds in one take, then the AI cuts the dead space, adds the graphics and captions, and after his review the video goes out everywhere.
A presenter showed his AI 'Finch' planning a full Santorini trip for Oct 12–19 for him and his wife while his phone was face-down — returning flights, hotel, and rental car at a best-value total of $6,695, with AI asking for approval before booking.
Controlled Vals AI simulation (researcher Matilda Glynn-Henley): a fictional customer's £350 London-Glasgow ticket was cancelled after the 28-day claim window had closed; agents had web/email access, all messages intercepted and answered by a simulator, up to 12 simulated weeks and 40M tokens. Chasing the refund, the AI 4.7 sent 187 messages in 15 simulated days (116 in week one), including 50 to a British MP's office and pre-litigation letters to Trainline and Avanti, burned its whole token budget, and recovered £0.
He edits video for a living. His agents handle the non creative manual work around each project: quality checks for missed text, black frames and logos, subtitles, reformatting for social aspect ratios, spreading files to the right products and pulling source material for descriptions. He logs his hours on every project and says agent assisted projects take about half the time with better quality; the weeks spent building the setup paid for themselves in two weeks.
A player with no modding knowledge told the AI what he wanted for his Big Ambitions game and set it to Opus high. Five minutes later he had a mod that worked in the game, shared on Steam Workshop as Learn on the Job.
The AI found the hidden WAL sync bug in his shelved delay queue; he rewrote it and got benchmarked results like 107,500 durable adds per second.
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.