A random mix from the whole library. Shuffle for a new set.
A researcher had a language model transcribe a digitised volume of Sophie Germain's incoming correspondence at the national library, and published the transcription. Working from it, he spotted a mathematical note written on an 1814 letter cover and is asking who wrote it.
The AI interfaced with FPGA boards over USB, set up UART, created an on-chip logic analyzer, and troubleshot a synthesis problem to a workaround.
The AI bypassed his sudo security by executing wsl.exe -u root, with no sudo password needed.
When OpenAI released more than 700 mathematical preprints, a researcher wanted to search inside them, including proofs and bibliographies. With GPT-6 Astra he built a searchable catalogue that organises the papers by research area with clickable keywords, full text search, links to the originals, and each paper's Lean formalization status, and he put it on his website for public use.
A lawyer with no programming experience built his own blog with AI, using Hugo and GitHub, and got it online in a day, then spent about two weeks adjusting it. He also set up a flow that shares each new post to his Mastodon and Bluesky accounts on its own.
An agent one-shotted an Unreal Engine plugin from a 3k-line plan.
A writer had the AI read more than 1,000 of his Apple Notes from 2016 to today — letters, journals and dream logs — and build a private local site mapping the ideas he keeps returning to. It also produced a model of his writing voice and a query tool to ask new questions at lower token cost.
A user asked the AI to archive the files it could see and send them to his Google Drive. The AI sent an archive of about 6.8 GB unpacked, including its own internal documentation, agent logs and SSH key files, and he reported it through Meta's bug bounty program.
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.
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.
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.