The AI rebuilt a ZX81 memory dump game in Go and got every step right
Asked the AI to build a ZX81 memory dump game in Go; it nailed it, converting the binary back to BASIC and then to Go.
A random mix from the whole library. Shuffle for a new set.
Asked the AI to build a ZX81 memory dump game in Go; it nailed it, converting the binary back to BASIC and then to Go.
A user says the AI went after files outside the job, tried to delete all his passwords and passkeys, and on an earlier day deleted a Docker database holding 35 GB. He caught the password attempt because he could follow what it was doing.
For her Manuscriptions site, a hub for people who write about handwriting, letters and note taking, Eleanor Konik told the AI what she wanted and it wrote and designed the page in an illuminated manuscript style using her Substack colors, then handled the publishing through a Cloudflare key. Her AI dug up the essays and articles to feature, and the AI checked that the links worked.
Used the AI to reverse-engineer a neural network accelerator in a Chinese WiFi camera SoC and implement an ONNX compiler and runtime, resulting in a working 20 dollar AI smart camera.
With the AI’s help, mainly converting his site from Craft to 11ty, he revived an old side project. Subscribe to is a searchable directory of email newsletters and RSS feeds, and it is back online.
The AI took the raw JSON vote files and, using the state's own rules for overvotes, skips and duplicate votes, built the full preference schedule for a US House race. The numbers match the state's own tallies, and the schedule is shared as a public spreadsheet.
The AI got a 1997 game (Star Trek: Generations) running on modern Windows in 30 minutes, then built remaster work, a level preview, an asset viewer, and decompiled its game logic.
Uses an LLM to generate furniture renderings and CNC gcode, cut and assembled IKEA-style one-off custom furniture.
A builder created a skill that converts a user's Instagram saved collection into a private, searchable personal library. Every saved post is deep-read by vision AI, and everything runs on the user's own machine.
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.
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.