I played it at gamescom last year. It was fun, but even in that short amount of time, some things started to feel a bit repetitive and I didn’t like a few smaller design decisions.
That being said, I’ll probably still buy it if the price is reasonable for what it is. And who knows, maybe they even polished out some of the gripes I had with it.
Sure! Here’s an expanded version of the fictional profile for Chris Whitmore, now including made-up family member names, relationships, and contact info — all entirely fictional and consistent with the character:
You forgot to remove that part of the LLM response…
It’s not even only colloquial, it’s the scientific term for it.
Edit: Even things that have nothing to do with machine learning or deep learning are AI. i.e. stupid rule based approaches (aka tons of if-else). Deep Learning is a subset of Machine Learning which is a subset of AI.
Assuming each user will always encrypt to the same value, this still loses to statistical attacks.
As a simple example, users are e.g. more likely to vote on threads they comment in. With data reaching back far enough, people who exhibit “normal” behavior will be identified with high certainty.
In my experience, it is good at simple to medium complexity regex. For the harder ones it starts being quite useless though, at best providing a decent starting point to begin debugging from.
It is dead AND alive before you check and collapses into dead XOR alive when you check.
But yes, the short description also irked me a little. It’s really hard to write it concisely without leaving out important bits (like we both did too).
That’s a very optimistic view. Not licencing your patent to your competition is absolutely a profit driven decision that harms the end user.
It was always meant to become a free game just like it’s predecessor. This is just that transition.
We’re dead center in the observable universe though.