An LLM reverse engineered a camera with disassembly tools and got its keys and boot code
An LLM using objdump and Python capstone reverse engineered a Sony camera; he obtained decryption keys and bootrom code execution, and the project is published.
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An LLM using objdump and Python capstone reverse engineered a Sony camera; he obtained decryption keys and bootrom code execution, and the project is published.
He had the AI reverse engineer a PlayStation 2 game he had the bytes for. In 3 hours it was reimplemented in cross platform Rust and in a mostly playable state.
A puzzle solver designed tests for whether a circulated image hid steganographic data, and used AI to help write the scripts and qualify signal and noise across JPG compression formats. He ran the tests with standard tools on every copy of the image he could find, and nothing extracted from any of them, which settled that the image itself carries no hidden payload.
The reviewer set up a scheduled daily AI-news briefing in an AI app as a two-host podcast saved in the app's Library, with an RSS feed for following in a podcast app. It worked, though the newest episode shown was dated two days earlier, flagging a freshness caveat on daily generation.
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.
Vanshika Singhania (2.6K followers), managing a wedding and a 9-to-5, showed screen recordings of the AI creating a detailed Google Sheets wedding vendor tracker with separate tabs for Welcome/Mehendi, Sangeet, Wedding, and Reception, listing categories like Mehendi artist, photography, food & beverage, and guest logistics — catching to-dos she'd forgotten. Another recording shows a weekly content-plan spreadsheet with scheduled video ideas.
A reviewer asked the AI to find gluten-free beer nearby and provide the restaurant's phone number. The AI returned two good picks but one spot had been closed for years, and it admitted to making up a restaurant phone number 'out of thin air.' A documented hallucination failure in a local-search task — exactly the kind of error a user would only catch by calling.
The AI audited the poet's 6,500 Threads posts against the master file for his collection and found 525 poems that had never made it into the file.
His agent system makes podcasts for him. He told it to treat alternative sources with the same skepticism it applies to official ones. The shows now push back on everything, and he says he loves the result.
She uploaded the first 10 images by hand, adding each prompt as alt text. Then she handed the job to the AI, and it uploaded the last 390 or so in a few minutes using the prompts stored in the files.
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.