The offline version is on izzyondroid.
The design is worse, yes.

I don’t think it matters much because most of the time you only see the autofill thing, not the app.
When you do go to the app, it is to select between multiple credentials, which is still a split second action.

On mobile I have my 2fa in a different more convenient app (aegis), though k2a does allow to copy 2fa codes

It doesn’t.
Both DX and K2A-O open a local keepass file.
They are capable of reloading the file when it is changed, and can be set to immediately write out changes to the file.
Then you take whichever file sync tool you like and sync it with all other devices using it. As long as the sync tool can sync files in your internal storage, it will work.

I use syncthing, with a dedicated keepass folder containing only the database file. Then I simply add all my devices to the share and it’ll sync any changes to all other devices. I also have version history enabled for the share.

Keepass2Android Offline also works very well. It has a somewhat different feature set compared to DX.
I found it to be more stable at remaining permanentl unlocked, and DX dropped the 3rd domain level for password matching on either websites or apps, I don’t remember.
On the other hand DX works better for adding new credentials or making changes. Since I usually do that on desktop it doesn’t matter much for me.

They were doing the same on other repos for months.
Both their npm module and android client.
On android they tried to get people to add their own fdroid repo because the official fdroid has not had updates for 3 months due to the license changes.

Edit: Looking at it now compared to 4 days ago, they apparently got frdoid to remove bitwarden entirely from the repo. To me this looks like they are sweeping it under the rug, hiding the change pretending it has always been on their own repo they control.

Next time they try this the mobile app won’t run into issues, the exact issues that this time raised awareness and caused the outcry on the desktop app, which similarly is present in repos with license requirements.

If they were giving up on their plan, wouldn’t they “fix” the android license issue and resume updating fdroid, instead of burning all bridges and dropping it from the repo entirely, still pushing their own ustom repo? Where is the npm license revert?

Also important to note is that they are creating the same license problems in other places.

They broke f-droid builds 3 months ago and try to navigate users to their own repo now. Their own repo ofc not applying foss requirements, because the android app is no longer foss as of 3 months ago. Now the f-droid version is slowly going out of date, which creates a nice security risk for no reason other than their greed.

Apparently they also closed-sourced their “convenient” npm Bitwarden module 2 months ago, using some hard to follow reference to a license file. Previously it was marked GPL3.

It means previous versions remain open, but ownership trumps any license restrictions.
They don’t license the code to themselves, they just have it. And if they want to close source it they can.

GPLv3 and copyleft only work to protect against non-owners doing that. CLA means a project is not strongly open source, the company doing that CLA can rugpull at any time.

The fact a project even has a CLA should be extremely suspect, because this is exactly what you would use that for. To ensure you can harvest contributions and none of those contributers will stand in your way when you later burn the bridges and enshittify.

I never claimed calling us omnivores was incorrect. Our meat digestion ability sucks too, compared to most carnivores.

Devs reference detected. Obligatory watch recommendation

Just fine is pushing it, we are capable but not particularly good.
We need specific plant parts grown on purpose to be consumable (fruit, nuts, …), or we need cooking.
There is a good number of plant stuff like grass, certain bark, and most parts of medium sized plants which a lot of animals can consume but we cannot.
If you go out and eat random plants you will die you won’t be able to digest almost any of that.

I would argue there are loosely two levels of plant digestion ability above ours.
The first being what most mamals have, which allows to consume leafs and most small and medium plants minus the thicker stalks. My example would be deer.
Then there are ruminants who can digest grass more efficiently and tend to deal with stalks better, main difference being more things being worth digesting vs. just being digestible. Classic example is cows.

My guess for the injury rates is you expect drywall, thus your body allows you the speed and force you can take on drywall, but then you hit something harder like a metal strut.
If you already expected something of similar hardness you could never use that much force.

In Europe you learn to respect walls at a very young age.
You don’t deliberately kick a table leg with your toes either, you just know with certainty it will only give you pain.

Drywalls have some cushioning to them, they first compress then flex.
Brick is completely solid, it hurts even at very low speeds when hit with bone. Just knocking on it is painful.

Go outside, pick a nice flat pavement stone, put two sheets of paper over it. Now use your knuckles and knock around on it for a bit, then see what your instincts tell you when you think about punching that.

You see less ai generated imagery

Both, it’s a sign of trust not an invitation. They trust you with their vulnerable side and you betray that trust by play attacking it.
What follows after is justified.

But these words can’t stop me because I can’t read

kan man.

Yeah. You want to preserve the AI’s abilities. Hence adding the “paste imagination” feature for example. If you simply use that and finish “editing” that is current AI. Then you can quickly redo only sections from imagination until they look good, maybe with a specific prompt or other form of understanding about what needs to be done and changed there.

We can invert our visual center, so basically we see an image, think about it, then can summon a mental version of that painting back as an image by converting the abstraction of it and change things about the abstraction until the mental image seems good. This abstraction can handle ideas like recognizing, moving, scaling, recoloring objects. It can do all we can imagine because it is literally how we interpret the world. Then we spend hours trying to paint that mental image we created using limited tools. If we could just project something the same way we see, that would probably match image-AI in the initial output but after tens, hundreds of passes you could likely within minutes create something completely impossible by any other means.

If you feel like you can think clearly and are questioning if you are dreaming but are unsure, you are not.
All methods of lucid dreaming aim at making you think clearly and question if you are in a dream. With that thought, it should be quite obvious to confirm you are in fact in a dream. Dreams are really not that good, sleeping is just kinda like a heavy suspension of disbelief.

Yeah. It is not like you can perfectly recreate them, but as long as you don’t see a problem with whatever your brain fabricates it’s not gonna do anything.

What I used to do was try to breath through my nose. That is a different mechanism, where probably for safety your body doesn’t “disconnect” your breathing. If you hold your nose shut, you will still be able to breathe in a dream.
It is something you can easily make a habit, as just quickly pinching your nose doesn’t look weird, and then you will naturally do it in your sleep too and become lucid.

All you really need is a moment of doubt, and if you have experienced a few dreams you will always be able to tell if you are dreaming or awake at a thought, at least in my experience.

I have stopped lucid dreaming a while ago, but I think I am still always aware when I sleep based just off of how I sleep. Ever since then it feels more like I am just going along with my dreams most of the time, and occasionally I just decide a nightmare sucks too bad and change it or wake myself up.

You know, thinking about it, I doubt this is a coincidence.

The finger-counting is familiar to me as a technique for lucid dreaming. If you look at your hands in a dream, your brain will kinda fuck it up, so if you train yourself to pay attention to that you realize you are dreaming and become lucid.

My guess is that the origin of fae is something like sleep paralysis deamons or hallucinations, and people realized they could detect those from the same flaws of our own imagination.

Now for AI, it isn’t really drawing. What we are using in image-AI is still much more like projecting up a mental image, dreaming. We can’t get it right all at once either, even our human brain is not good enough at it, it is reasonable image-AI makes the same kind of mistakes.

The next step would logically be to emulate the drawing process. You need to imagine up an image, then observe it at large, check for inconsistencies using reasoning and visual intuition.
Hone in on any problems, stuff that doesn’t look right or doesn’t make sense. Lines not straight.
Then start reimagining those sections, applying learned techniques and strategies, painter stuff (I am not an artist).
Loosely I imagine the ai operating a digital drawing program with a lot of extra unusual tools like paste imagination or telepathic select, or morph from mind.

The main thing differentiating dreaming from painting is that for painting you can “write stuff down” and don’t have to keep it all in your head all the time. This allows you to iterate and focus in without loosing all the detail everywhere else.

i2p doesn’t really have exit nodes, it’s mostly for i2p internal connections.
The only exit I know is stormycloud.i2p, and that one is somehow immensely limited ro the point of it being hard to load clear-net text pages.