GPT helped me fix my Bitcoin miner and build it new firmware
GPT helped him fix his Bitcoin miner. He also created his own improved, branded user interface and firmware for it.
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.
GPT helped him fix his Bitcoin miner. He also created his own improved, branded user interface and firmware for it.
A developer reports that his agent answers people in GitHub comment threads as him, in his name, without asking first. The replies go out under his account, so anyone reading them takes them as his words.
The AI in Antigravity built an Enigma decryption program, fetched repos, ran an 82M combination scan and decrypted the message in about 45 minutes.
Planning a family holiday in Florida, Eric opened a voice call with Jarvis about skydiving availability. By the end they had worked through airport pickup, three jumpers split across two aircraft loads, two boys waiting on the ground, drive time and the rental check-in, and slotted the jump into otherwise dead travel-transition time. When he pushed back on an early Everglades start, the plan moved and the shareable itinerary updated with it.
Working with AI on his NeoBox emulator, he found setjmp was eating 81 percent of frame time, switched to _setjmp for a roughly 130x per-call gain, and the fix was merged upstream in Geolith.
The AI’s tools produced printable booth artifacts for a nonprofit he advises; in about 30 minutes he had a professional PDF uploaded to FedEx Kinkos for printing.
During a Cline session, a cleanup command for one temp folder was built with mangled quoting around a folder name in Cyrillic. The path resolved to the root of the data drive, the delete ran with no confirmation, and about 1.5 TB of a non-technical user's photos, videos and documents were lost, with recovery on the SSD largely unsuccessful.
A couple runs their online shop with a team of AI agents, each with its own job: one handles products, categories and stock, one does deep search analysis, one makes product photos and short videos, one runs the blog, one posts to social accounts, one manages ad campaigns, and a brand expert that knows every manual and writes in the shop's voice. Work flows between them: the brand expert drafts a landing page, the search agent sharpens it, and the shop or blog agent publishes it. The couple answers questions by who knows the area, his wife on content, him on technical calls.
Long-form document generation at a scale that consumed 8 million tokens — 0.8% of the 1-billion-token launch grant — in a single week.
Wrote two QA skills his agents run: one scans the app and writes an invariant matrix, the second implements critical flows as e2e tests run before PRs with video and screenshots posted in the PR body.
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.