Learning a new natural language can be a daunting proposition at the best of times, with repetition and immersion generally considered to be the best ways to build up not only vocabulary but also that innate sense for grammar and cultural details that sneak into every spoken language. Flash cards are one way to help with vocabulary and sentence building, such as [Peter Hraska]’s Enkiplate project that uses the Inkplate 4Tempera being an  interesting alternative to lugging a stack of cards with you.

Although the software also works in the browser, using the Inkplate or similar device means that you can keep it with you while it keeps track of your progress in learning the shown cards, with a starting pace of 12 cards per day to learn. It also shows you calendar items for that day and the weather using an online weather service.

Starting from basic kana, i.e. the two phonetic writing systems, the difficulty is slowly ramped up to cover kanji and then sentences. Due to the limitations of the 4Tempera’s ESP32-WROVER-E module’s local storage up to 16 flash cards can be stored at a time, with an application on a PC being necessary to obtain new cards.

The feed of a Hackaday writer brings many surprises, some rubbish, and the occasional diamond which of course we bring to you. Sometimes a page catches the eye that’s not a Hackaday piece per se, but makes for interesting reading. Today there was an example which provides a catalyst for a story if not being one itself.

It’s an AI skill intended to make a slop-writing operation look less sloppy, and since it contains a list of slop behaviours, of course it’s irresistible to turn it on yourself. To delve into the archives, if you will. So here goes, how slop-like is your scribe?

It kicks off with the old favourite, “Delve“. Oh dear, that one’s in the List Hackaday corpus quite a bit. Earliest appearance: 2016. Then landscape terms, in which it’s easy to recognise “Sphere” again. Oops. 2016 again. How about “Testament“? Well, that one’s a 2017 word. “Pivotal“? Four years of the Raspberry Pi, back in 2016. How about “Showcase“? Yup, it’s there, in 2019. Meanwhile “Foster“, goes back to 2017.

Next up are “Leverage” and “Utilise“. Safe ground here. Editors have what are referred to a “Pet Peeves”, language tics that annoy them on sight, and those two regrettable pieces of business-speak never evade this red pencil. The word you are looking for is “Use”.

The page goes on to name a load more words as tells, and we could continue to dissect them for your amusement, but we think you get the message from long-pre-LLM Hackaday. It gets more interesting when it talks about paragraph structure, and there are the things we’d recognise as tells. Staccato paragraphs, one-line stacks for impact, and repeated sentence start words. Whether AI slop is sounding like a business influencer’s Linkedin posts, or the other way round, is anybody’s guess. And yes, Hackaday does use em-dashes — get over it.

It’s amusing to poke mild fun at your past writing style, but if there’s a serious point in there it’s that spotting slop is never as easy as having a check-box list of tells when in fact you’re just looking at professional-grade command of the language. After all, given that Hackaday is in its corpus, the LLM can even make a passable effort at writing like one of us. Perhaps the key lies in that article, when the fake Hackaday piece became obvious because it lacked the inference of the real one.