I’m definitely not the target audience for this, but I know a lot of people who would love something like this. Please continue to post updates now and then!
Long term, it’d be cool to see iOS support as well, though that’s not easy to do. Since it’s still in early development, I’m curious if that’s on your radar. If not, makes sense of course. Just throwing that out there since you’re asking for feedback.
What? You don’t normally call capitalists “Tankie”. That would be a weird insult for one, to say the least. Usually that term is reserved for a certain kind of pro-authoritarian “communist” (in quotes of course because I don’t believe it’s actual communism).
Anyway, not sure what any of this has to do with the post. What a weird comment thread…
My favorite quote from a post-surgery instruction packet (which required not smoking due to the location of the operation) was something along the lines of:
Can I start smoking again?
You have been nicotine-free for 10 weeks. You do not need to start smoking again.
If you’ve been locked out of your Twitter account and haven’t had access to it for a while because of that, then you’ve already gone that long without it. You don’t need to go back.
Didn’t they say they were going to do a follow-up set in New Capenna that was Monopoly themed? Honestly, that set seemed a lot more interesting, especially with the board mechanic and mortgage subtype they announced. Plus, there’s some great reprints spoiled for the set already.
I also should correct myself - it’s not C(n, k), it’s P(n, k) (which is n! / (n-k)!). It’s been a minute since I took a statistics class lol.
In any case, it’s a lot of entropy with just a few words.
The entropy stems from the words, not characters. With random words and no repetition, you have C(n, k) combinationsP(n, k) permutations (or n^k with repetition), where n is your dictionary size and k is the number of words you chain together. These passwords tend to be longer, but not by much. A big enough dictionary can yield some pretty high entropy with only a few words.
I’ve had passwords as limiting as 16 characters for some services (unfortunately)…
16 characters is hardly enough for random characters unless you include Unicode (which rarely works for those same services that usually have shitty implementations).
Not much can be done there, sadly. You’re lucky if they even hash their passwords anyway - you’ll probably just get your password emailed to you if you click “forgot password” like it’s 2003.
I would never, ever want my users relying on their brain…
I never would either. People should just use a password manager. I was just mentioning an alternative that generated more memorable passphrases, but I wouldn’t advocate for it over random high-entropy strings saved in a password manager.
You can actually generate high entropy passphrases by chaining random words together. You just need to make sure the phrases are actually random and not just whatever comes to your head at the moment.
Naturally, words help with memorization, but memorizing hundreds of these is impractical at best, especially because long-term memory for infrequently used accounts is subject to “bit rot”.
They are free…
If you have an integrated GPU in your processor (I’m assuming you do unless you have no graphical output at all), you can also try to run one of their really small models on it. Otherwise, their smaller models are also faster, so I’d recommend trying those on your CPU to start with.
The README lists the VRAM requirements for their different models if you plan to run with a GPU. Without a GPU, you can translate those roughly to system RAM.
Note that ML models pretty much always runs faster on a GPU due to the kinds of operations needed to execute them. If you have the option to run on a GPU, you probably should just do that. Even their largest model only requires ~10GB VRAM based on their table, and if you only need English, you can use a smaller one specialized for English (like medium.en).
I’m not sure where you live, but here in the US, bats tend to be one of the biggest carriers of rabies alongside various animals that depend on the state. You can actually look up which animals are the primary carriers within a state (if you’re here). Outside of the US, naturally it varies from country to country, but you’d still be looking at bats, plus potentially stray dogs and such. It’ll take some effort, but you should eventually be able to find a carrier.
I would expect with the nondeterminism and the regular evolution of search results that reproducing the output would be difficult even if DDG didn’t make a patch already. It’s really easy to get these “AI overviews” to make up random shit, though. All you have to do is search normally about a topic that the model wasn’t trained on, and there’s a good chance it’s making shit up, even if only in part of the answer.
I have over 300 different passwords for different accounts. I’m not remembering that many passwords.
The Chinese splice 4090 dies onto boards with 48GB VRAM on them. I don’t think this will be very hard for them to circumvent.
Rather, I’m hoping whatever “safeguard” they implement accidentally causes some fuse to pop in all the unmodded chips, turning all but the Chinese “black market” ones into paper weights. Maybe that’s what it takes for this idiocy to end.
“We will only re-enable MCI when we are confident in the effectiveness of our data protection controls,” Kasriel said.
This should have been an obvious concern from the start. All the data would go to Meta, who are known to be the most reliable, privacy-focused data stewards in the world.
Not financial advice of course, but I don’t know anyone who has wanted to touch the bubble at all in the past year or so. I also don’t know anyone who could invest billions into the industry either, so maybe it’s just a matter of greed clouding judgement here (“maybe” is pulling a lot of weight because we all know the reason is greed).
The whole thing reeks of crypto scams, just on a higher scale. With companies investing in each other circularly to pump their valuations, we’re just waiting to see who tries to cash out first.
If you have nothing of value to add, then I’m done discussing this.
If you have tunnel vision, then sure. In fact, it’s just as comparable as downloading from realappmirror.ru where you have the same number of intermediaries.
In that case, both FDroid and the browser are intermediaries and potential attack vectors. You go through the same number of middlemen. One just verifies the packages for you.
The qualities that were specified were security. Do you plan to actually explain how both FDroid and random GitHub downloads are equally insecure?
I’ve read tamer media that would still qualify as questionable. I think the real question is whether something is “NSFW” if it’s written media rather than visual since it’s unlikely a colleague is reading your book.
That being the case, F-Droid has its own definition for NSFW, and no reasonable definition of NSFW that doesn’t specifically exclude written media or religious texts would exclude the Bible (or any Abrahamic religious text, really). It’s more that those books get a pass for historical reasons than anything else.