blackle

I have a flipper zero which I use monthly to provision keyfobs for new members of the hackerspace I run. Great little device! This new one doesn't have an nfc/rfid reader/writer so the use-case is a bit befuddling. I'd love to hear how people would use this and how it might beat out, say, a used thinkpad.

There's lots of cool details like this which you share in this thread but aren't present in the writeup, which is a bit of a shame! I'd love to hear more about how you arrived at this sequence of bytes. Was it the same kind of process as Memories or did you have a different approach this time? How do you mean by "unfolded what's left?" Were you generating these experiments manually or automatically?

this is gorgeous! really illustrates the fundemental rules in a very aesthetically pleasing way

I use GnuCash for the accounting of my hackerspace. It was either this or a site called "wave" which the treasurer of a nearby makerspace recommended. After signing up for wave and playing around, I still wasn't sure. A few weeks later I decided I would use wave, but then I found they had locked my account for no reason. GnuCash it is!

It's good software! I eventually wrote code that dynamically links with the libgnucash library so I can auto-generate monthly invoices for the member's dues.

I fully agree, however if you're the kind of person who orders groceries, then what ends up happening is that you start collecting reusable bags that you have no way of reusing. I hope that someone starts some kind of "reusable bag recycling" system so I can give the scores of bags I have to a good home

I've noticed that adding a colour can make it go from having a solution to not having a solution. Maybe it should try to come up with a solution using fewer colours in that case, since it's not obvious that manually removing a colour will lead to a solution.

Increasing temperature just makes more uncommon tokens more likely to appear. This can include both uncommon ideas and uncommon spelling and grammatical mistakes. It also won't make ideas that the LLM isn't capable of thinking appear, unless you crank the temperature way up and get lucky (like monkeys on typewriters lucky)

Godspeed, Charles Entertainment Cheese. We will meet again in Valhalla.

My understanding is that minimizing perplexity (what LLMs are generally optimized for) is equivalent to finding a good probably distribution over the next token.