I never understood the concept of Multi-Account Containers. I would guess it makes sense when one hardly closes the browser (and clears the cache) and has dozens of tabs open? What is a standard use case (home/work)?
I simply use Temporary Containers to isolate tabs (or different domains) and login to websites either by hand or via KeepassXC's browser integration. No per-container setup needed, every tab just lives briefly in its own little container.
1. Further defense in depth against common XSS attacks: if you only ever log into banking sites in a Banking container, then some random ad-sprung malware trying to access your bank in any other container will never find a logged in banking session to hijack (no matter how good your bank thinks they are at XSS protection and auto-timeouts).
2. Isolating tracking cookies from major ad companies. This reduces cross-correlation between/among them. I have separate containers at this point for all of: Google account usage, Twitter account usage, Facebook account usage, and Amazon account usage. The amount of targeted advertising I see decreases every time I sequester one of these major accounts into its own container. The trade-off is the increase in ReCaptchas needed and the increase in advertising companies complaining I must be using an "ad blocker". (I don't have any ad blocker extension installed, just this strategy of isolating major cookies to specific containers and Firefox built-in Enhanced Tracking Protection.)
I was wondering for a long time:
wouldn't it be possible to create an ML-based AI that could parse CIV games and emulate/imitate human-style play? It would have to be broken down to the respective difficulty levels a human is playing and I guess it would require a lot of input metrics. But people are playing CIV anyway all the time, so there is definitely no lack of data.
That way, CIV could move away from giving the AI boni that it often doesn't know to exploit properly, and we could potentially finally have an interesting competition with the AI.
yes, I would say it's probably possible now but not yet practical. It's really the forefront of AI research and only archivable with a team of top researchers and a lot of computing resources (you need to use a lot of self-play, so AI vs AI). But we still make a lot of progress every year, give it a few years and I would bet that it starts to get practical for game-developers to use machine learning.
The problem with machine learning for game AI is how expensive it is computationally. Forget about using the GPU for it. Maybe if TPUs became more common.
I think it should be possible to make, not a good one, but certainly a much better one, with a combination of various classical game tree search techniques, it's just that AI doesn't seem to have been a huge priority for the developers. There are even mods for Civ 5 that drastically improve the vanilla AI just through tweaking various behaviours.
I think those big models all had visual input and therefore understand what they're seeing. You don't really need this for game AIs, it could make those models drastically smaller.
Maybe, but you'll still be pretty damn limited in terms of access to the GPU. Games generally tend to push the graphics to the limit. You could make a graphically very simple game and put most of your GPU compute into AI. I'd be interested in seeing a space like that explored for sure.
For graphics intensive games though, you either want something that can get by on the CPU or in future maybe TPUs will become common enough in consumer PCs so you could offload your AI onto that and still keep the GPU for fancy graphics.
I simply use Temporary Containers to isolate tabs (or different domains) and login to websites either by hand or via KeepassXC's browser integration. No per-container setup needed, every tab just lives briefly in its own little container.