I think the people downvoting may be judging it on the title alone. This is not a pro-AI article.

If I’m interpreting it correctly, that’s the probability that this particular PRNG with those particular seeds produces those particular outputs. That’s a strawman argument; a PRNG with uniform output should eventually produce any value.

It’s perfectly believable that a known broken PRNG from 40+ years ago could be backsolved. The part I doubt is the sensationalized part, that the LLM found the exact method with which it was calculated. It’s just a plausible choice for a random oracle. It’s a local minimum the LLM settled into.

That’s the thing with random oracles, there’s likely so many plausible combinations of candidate algorithms and inputs/seed values that the actual truth is almost certainly lost to history.

Correction: Claude found a plausible way these curve points were generated. And “plausible” is carrying a metric fuckton of weight here.

It found PRNG settings that could theoretically generate the same values, but the fact that it requires thousands of iterations makes me think this is more of a coincidence than anything. Especially given that the NSA employee remembered something completely different.

As a product reveal, this is nothing short of blatant fraud. I guarantee there was nothing inside that shell but gas tanks and thrusters.

They posted this here once already and then deleted it, I guess because they expected people to actually give a shit.

All the messaging about fast charging speed is focused on the wrong thing. EV drivers should be able to do the vast majority of their charging at home or at their destination. The messaging should be about getting chargers in more homes, apartment complexes and workplaces. Speed doesn’t matter as much if you’re going to be parked for half the day or overnight. That’s something that gas simply can’t do.

Fast charging stations should only be necessary for road trips, where you should be taking a break every so often anyways.

That’s what CSRF mitigations are for.

Do you actually understand how any of the modern web works or does your knowledge stop at W3Schools tutorials from the mid-2000s?

Bitwarden lets you store passkeys in its vault, which I think is what you’re asking for? It’s mentioned in the post too.

No. I’m talking about using the password to directly derive the passkey. This would eliminate the need to store them in something like BitWarden.

In the scheme I’m proposing, the password never gets sent to the server.

The issue of password reuse is the password getting sent to the site, because the prevailing approach is to hash the password server-side. Passwords leak because they get stored in plaintext, or hashed using outdated algorithms, or get logged with request metadata–bottom line, they end up stored somewhere that an attacker can get their grubby little paws on them, or in a way they can reasonably recover them.

Using a master password to derive a passkey client-side isn’t any different than using a master password to unlock a password manager. It just cuts out the middle step.

I feel like there’s some potential in password-derived passkeys, which would get around the storage and hardware lock-in issues. It’d essentially be a master password like for BitWarden, but instead of needing an app to store a bunch of generated passwords, the master password could be all you need to authenticate.

Most of the sources of compromise for regular users would be eliminated because the password never leaves the client.

Really? No one’s posted this yet?

Relevant XKCD: https://xkcd.com/908/

Or what about how the first fifteen minutes of each season 2 episode is just “last time on…” and viewers decide they don’t have the time for this shit

Seems like a positive feedback loop:

1. Netflix creates show that’s pretty good
2. People watch it
3. Netflix takes too long to release season 2
4. People forget show exists, stop watching
5. Netflix drops a season years later
6. No one watches it because they forgot what happened in season 1 and Netflix shows are so serial that you have to know what happened
7. Netflix cancels show due to low viewership
8. Fans of the show feel jilted and slam Netflix on social media
9. Rinse and repeat

I’ve been saying this for a while: without opining whether or not machine learning models are even capable of consciousness, there’s no way in hell LLMs are.

These are once-through, completely immutable models. Any activity that could be remotely construed as “thought” evaporates the instant it outputs a token, and then it starts over from scratch.

Good fucking luck being conscious when your consciousness only exists for a fraction of a fraction of a second at a time.

I honestly don’t get what people were so up in arms about, besides just not wanting to change what already worked for them.

That “780,000 Windows users” number is just made up for the title as clickbait.

That number is never mentioned in the original blog post.

All they said is they have a million downloads and “over 78% of these downloads came from Windows”. At no fucking point did they imply that means 780k unique users. There’s no reason to assume that everyone who downloaded the ISO actually went on to install it.

They also want $48 for their Pro version which comes with a “professional-grade creative suite” consisting of… GIMP, Blender, Inkscape, Kdenlive, and… Audacity (?), going off the screenshots they show:

They’re shamelessly reselling free software as some sort of comprehensive package, and it’s not even their own distro. They’re just piggybacking on Ubuntu.

And their premium support only covers… installation?

But hey, they support this edition with updates until 2029!

Of course, pay no attention to the coincidence that the Ubuntu LTS version it’s based on also hits end-of-life around then:

So I’m not really sure what you’re actually getting out of this purchase besides some extra themes and some really formulaic desktop wallpapers, and a couple proprietary apps. They say they “contribute to upstream Open Source projects” but offer zero evidence; their site doesn’t even have any Github/Gitlab links.

Pretty ironic for this article to have a paywall.