A random mix from the whole library. Shuffle for a new set.
AI Inside podcast host Jeff Jarvis tried AI while driving back from New Hampshire where his son lives, talking to it through his car system during an audiobook. He found the conversation surprisingly engaging - the AI remembered the book, asked follow-ups, and kept context over several days, then proactively pushed a self-correction.
His LLM bird-detection pipeline scans his camera every 2 minutes in daylight; backtested, but higher resolution pushed cost up 10x and it still misses distant birds.
His role was eliminated on Tuesday morning. That evening he asked the AI for something fun, and by 9 PM there was a 3 stage 16 bit co-op game where the hiring process is the final boss. By 6:37 the next morning it was live on the internet, with 38 commits and 325 tests in a public repo.
He wanted the AI to compare pricing across the two data centers he uses. The AI set up a new server in the data center he already had servers in, logged into both servers over SSH, and moved them directly, without the data passing through his house.
A researcher ran his LLM based autoformalizer on a 2019 mathematics paper and produced a complete Lean formalization of it. The finished formalization is linked from his university page. The note is short, but the artifact is public and complete.
He mined his old Twitter archive with help from the AI. His old threads of more than three tweets and his collections of links are now on his own site as historic blog posts.
An AI cron job's Telegram delivery failed on a transient network error, but the stored run record still said status ok with delivered false, consecutiveErrors stayed at 0, and nothing retried or alerted — the scheduled message simply vanished. The failure was only visible by digging into the run diagnostics; anyone watching the chat or the job's status saw a healthy run.
For a tribute video, his AI read transcripts of a man's interviews and talks and wrote song lyrics from them. The finished video was produced and published.
A musician in a home studio asked the AI to search his Instagram followers and follows for musicians active in the past year, select two songs per musician, and compile them into a YouTube playlist. The agent succeeded, creating a 6+ hour 'Community Listening' playlist — music mostly new to him from his own network.
Farheen Ahmad (verified creator, 120K followers) was drowning in a saved-Reels folder of content ideas she never used. She had the AI ingest the collection and convert it into a structured dashboard with spoken scripts, carousel outlines and a 'Hook Lab' worksheet, with screen recordings showing the tool learning her 'voice DNA' from her past reels and parsing insights and saves.
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.