It’s great for making images to associate with language learning flashcards.

people who’ve never been laid

That was unnecessary. I know that people with poor social skills have more trouble with romance, but implying that all virgins are socially inept is a harmful stereotype, luck is a big factor in finding relationships.

Why would java have an impact on battery performance ? Pretty much all credit cards run java for their encryption algorithms, and they need pretty much no power to run.

Reference counting is a GC though ?

It’s a bad one sure and will leak memory in cases of a cycle which most tracing GC are able to do.

It’s main advantage is that there are no GC pauses.

https://en.m.wikipedia.org/wiki/Reference_counting

WordPress wirh custom templates running on a LAMP stack.

These models are Markov chains yes. But many things are Markov chains, I’m not sure that describing these as Markov chains helps gain understanding.

The way these models generate text is iterative. They do it word by word. Every time they need to generate a word they will randomly select one from their vocabulary. The trick to generating coherent text is that different words are more likely to happen depending on the previous words.

For example for the sentence “that is a huge grey” the word elephant is more likely than flamingo.

The temperature is the way you select your word. If it is low you will always select the most likely word. Increasing the temperature will make the random choice more random giving each word a more equal chance.

Seeing as these models function randomly there is nothing preventing them from producing unique text. After all, something like jsbHsbe d dhebsUd is unique but not very interesting.

This chatgpt cannot create a truly unique new sentence for example (A thing any of us here could easily do).

What ?

Of course it can, it’s randomly generating sentences. It’s probably better than humans at that. If you want more randomness at the cost of text coherence just increase the temperature.