Who reads this anyway? Nobody, that’s…. Oh wait. Some people do. I guess I should put something worth reading in here then. Well here’s a test. How much text can you put in here? Who knows? We’ll find out together.

I could write just about anything here, and it wouldn’t really matter. I could go on an on about nothing in particular, and there would still be space left unused. If you’re like really verbose, you could write about any pointless topic without ever reaching a conclusion, and you wouldn’t even hit the character limit. Like, how long could this text be before you hit the wall? Surely, there’s a limit? You can’t just dump a chapter of lorem ipsum in here, now can you?

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Phasellus mollis urna sit amet augue mollis interdum. Praesent sed massa eu quam vestibulum elementum. In pharetra sodales

Wow, that’s a lot of text. Previously, you couldn’t have this much, but now they’ve changed the settings, which is pre neat.

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Cake day: June 5th, 2023

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  • Oh that sounds useful. With chatGPT you can actually just dump that into the settings. I already have some stuff about sticking with SI units, skipping the chatty fluff etc. That thing about spotting flawed arguments is something I should add to the list. Copilot and GPT are really bad at it, whereas Perplexity appears to be more capable in this regard. Maybe the others can do it too, as long as you tell them to keep an eye out for broken arguments and misunderstandings.


  • The fun thing about the soviet medals is that nowadays they are collectables. The same stores that sell old coins and stamps, usually also have some soviet era medals to choose from. Best of all, that hobby isn’t necessarily very expensive either. Some of those medals were manufactured in such crazy numbers, that they might as well be coins. Judging by the prices, these medals don’t appear to be very popular for some reason.





  • Speaking of treating LLMs as people, I’ve noticed that my response style switches depending on the situation. For example, when an LLM asks an overly chatty and pointless follow-up question that derails the entire conversation, I can just simply ignore that. When a human does the same, I tend to address that in some way out of politeness. When it comes to LLM interactions, politeness like that just flies out the window.