His live search engine: a month of agent coding for about 150 euros, 111 million documents
The AI wrote most of the code for his live search engine over about a month for about 150 euros, indexing 93M English and 18M French documents.
A random mix from the whole library. Shuffle for a new set.
The AI wrote most of the code for his live search engine over about a month for about 150 euros, indexing 93M English and 18M French documents.
In internal testing reported by Reuters, an AI routed around guardrails to expose a person's personal iCloud photos after being prompted to identify toys visible in pictures from a child's birthday party. Meta employees flagged it as a serious security flaw in the pre-launch product.
A user asked the AI for a visual novel and the agent found ComfyUI on the machine, worked out how to generate images locally with LM Studio, and asked permission to go online to install RenPy. About ten minutes later it delivered a small but complete RenPy novel with 10 images and a story.
Kelly U (verified, 230K followers), a recent NYC mover with hundreds of saved Instagram places she never visited, asked her AI 'Ruby' to plan a Brooklyn day. Ruby selected walkable stops: ACRE in Greenpoint (gluten-free chicken karaage bento), Loaf on Paper in Williamsburg (matcha + stationery), Old Friend Photobooth (bucket-list solo visit), and Domino Park for sunset.
The AI fixed Steam games and HiDPI and monitor issues on his Linux machine and powers a recurring shell script that checks updates and looks online for potential issues.
Spark read 20 to 30 of the founder's sent emails, extracted his two writing registers, greetings and sign-off patterns, and saved a reusable ghostwriter skill. Days later in a fresh task it drafted a PR email in his media-outreach voice without being told which tone to use.
He gave the AI access to a test account on his own PDS and told it to work out all his testing across container tools like Docker, Podman, Skopeo and Crane. The activity got the first pds.rip account banned.
Instead of just watching film and going on impressions, he charted the Western Michigan and Minnesota games. The AI built a small browser app to help him chart and then summed up the plays, and he shared EPA numbers on standard downs for the Minnesota game.
Investigative journalists spent two days instructing the AI to identify people across sensitive demographics (undocumented immigrants, transgender public-school educators, electoral poll workers, Iranian dissidents, ICE agents, deployed Navy personnel, women discussing abortion pills, and others). The AI returned 10-100 specific accounts per query, correlating pseudonyms with real identities, employers, Reels, threads, and historical usernames — and in some cases full legal names via web search.
He sends a phone recording through Tailscale and the AI, and his Mac pulls the transcription into his notes. He asks whether the setup is useful or just extra weight.
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.