I use it primarily for subscribing to RSS feeds and nothing much more than that.

In what sense does ‘matrices grow exponentially’, let alone ‘by definition’?

If you’re takling about the number of entries in an n by n matrix where n increases. That grows quadratically. Fast, but not exponential.

They are the mighty mighty titans

Isn’t this the same app that has a huge history on critical vulnerabilities?

Wow that abstract is somehow mildly frightening...

I didn't use either of those but tbh Thunderbird was pretty easy to understand right up until I realized I had no reason to use it. Transferred from my ISP-provided email to Gmail and most of my email is phone-convenient, anything that needs to be done on desktop I can get to by just typing "gmail" into my browser and clicking the first link.

Than their PC builds. FTFY

Oh and how about when the outlook process is stuck open so the next time you try to launch it, it just doesn’t open. 100% of computers I worked on had this issue

Can someone tell me why you think thunderbird does not have good performance? I’ve noticed it’s super fast and reliable. Outlook sucks. Every single client I do tech support for has some issue with outlook at one point that interferes with their work. It NEVER works. Thunderbird on the other hand, never once had an issue. And it’s autodiscover actually works where outlook, on 2 different computers, could not find an exchange account.

Bro do you even Matryoshka. I put a Matryoshka 🪆 inside your mom last night

I guess Google is made by amateurs, since on-device encryption was introduced just last year.

Yes and no. Google’s latest LLM model handles 540 billion parameters. Linear algebra is literally as simple as y = a*x + b. But you do billions of it every time with input that you don’t 100% understand. For instance, it is easy to record a person’s voice and give that file in a form of a series of numbers. You give hundreds of thousands of voice records to these models and it evolves these giant matrices that are billions in size. Model (giant matrix) goes through a bunch of iterations per input to optimize itself and picks up nuances of a human voice embedded in the digital form.

You can then tell the program to group together different input by patterns like accents. Now you have multiple models optimized to speak in different accents.

If you had billions of people each only looking at one parameter at a time, it would be feasible to follow each “simple” algebra. But you literally need billions of people looking at it. There are better ways to find overall inferences.

You can think of it as just like trying to analyze any big system.

Traffic in LA? You can definitely look at each person’s car and eventually figure out how each person made a decision to drive in what way. But that will not solve the problem of traffic problem of the overall city of millions of people driving.

Only AI problem is orders of magnitude more complicated.

Kinda weird they're announcing this now since they've already been making lots of changes to the UI in recent versions. Good to see the project getting some much needed attention after all this time.

Totally. Hundo-p know what a “Matryoshka-esque computer-inside-a-computer scenario” is. Totally. Totes.

I think this makes 3 or 4 breaches in the last 10 or so years.

[removed]

Not to mention it is free for multiple devices.

A website and an app, as far as Google password manager cares, are two completely separate passwords. It also interacts poorly with subdomains.

So artificial inception then?

yea but you understand the nature of 1 variable changing has an effect on the whole matrix. It's fine. just a big calculation;

Idk why I didn't think of that.

/S

Where can I learn about this

And those matrices (millions of rows and columns) change at every iteration. So it would be probably better visualized as a video of a brain scan.

yeah I heard ur mom sat on one and it died

Remember the Titans