Working with two economists, Schwartz's team built an 'AI data editor' with AI: it ported the replication packages of 4,452 papers from five leading journals out of MATLAB, Stata and other commercial tools into open-source code — some 30,000 routines — and checked essentially every verifiable number against the published tables. The work, normally a careful manual job for a journal editor, is written up in an NBER working paper.
A creator who fixes AI-generated images in ComfyUI had the AI build him a full desktop editor, Scumble, over five weeks starting September 4: 632 commits and about 83,000 lines of app code, tested against his own pictures. It reached 43 releases and a Microsoft Store listing, and every feature doubles as a command an agent can call.
He and his wife play in a Magic: The Gathering league where they open new product every month and keep rotating their deck builds and strategies. The tracking used to live in spreadsheets and note apps. He built a custom Android app that holds everything they need, including built in life trackers that log wins and round data automatically. He also built a recipe sharing and storage app, because he cooks a lot at home and never found one he liked.
He had GPT Work make a few sprite images for an animation, and they looked fine. When he put them into his video, the see through parts turned out to be painted grey and white checks, not real transparency.
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He got a Psion Series 5 and a USB to RS232 adapter working and saw the OPL programs he wrote as an 11 year old run again. He had the AI port some of the OPL code that had changed between the Series 3a and the Series 5.
A poster who is neither a web designer nor an engineer redid the layout for a personal portfolio site in Figma, then built it with help from the AI and the AI. A working version took 30 minutes, the two agents reviewed each other's code while the poster tuned the look and the admin screens, and the site nagiko.me is now live.