[0] https://helium.computer

The tinfoil hat explanation for this is that everyone at Apple is using iCloud for everything, and thus would never encounter a bug with locally-hosted services.

But I should’ve clarified, I meant the scraping aspect of it, since more and more content on the open web will be LLM output.

And with ever-more LLM usage both in labs and the real world, the task of finding new/“creative” out-of-average-distribution material will only continue to increase in difficulty. Meaning if this continues, in the future, all output becomes the equivalent of the color brown?

Exactly. From the page about the requirements for the app under 1) in your link:

> System requirements

> Android 12 or iOS 16

So one of four methods is, by default, already completely dependent on having an account with $american_megacorp.

4) is another app where it doesn’t outright say, but I’m guessing the requirements are also a mainstream OS, mobile at that as well since they seem to use biometrics.

That leaves 2) dedicated hardware and 3) dedicated hardware. Great. (see the “my house burned down” article/thought experiment as to why I’m against that.)

I mean, who cares about the developing minds of the next generation when there’s money to be made involved?

Remember, this is only the company responsible for potentially building and aligning AGI. No need to be setting high expectations toward their sandboxing or hiring capabilities.

[0] https://blog.kagi.com/what-is-next-for-kagi#4

That, plus the crowd who would want or like to hack on a device like this, or at least use a non-Apple app or service, is probably far outnumbered by people who don’t care what (and whose) software can run on their screen in the home as long as it looks nice and works well, which is typically the case for Apple.

> I don't see a single objective benefit for choosing hjkl on its own.

“j looks like a down arrow” is easy to remember as a sort of anchor key :-)

It might also become a race to the bottom, since you can’t deliver on quality better than others anymore, you’ll have to put effort towards quantity. That could mean firms might pressure lawyers to sign as much as possible in a given time, while they’re still personally at risk/responsible for the documents they put out. That means either very hectic reading, and missing details, or no reading at all.

*And like socializer said, the written documents are only one part of the job.

On the other hand, I’ve heard a direct quote from the longtime (25+ YoE) colleague of someone I know, that in their mostly embedded/some realtime work, the LLM code quality (specifically, this was about Opus 5.5 IIRC) has now surpassed his own. And that person is an excellent programmer, and the model is faster and cheaper!

So it’s definitely not just standard CRUD that is on the way to – or already – “solved”. As with all things, the truth is probably somewhere in between.

Circa earlier this year I found this blog post, and have – as a paying customer nonetheless, mind you – continued to expect a 180-degree turn (which to be clear, this not yet is) ever since:

https://blog.ppb1701.com/the-quiet-renovation-at-bitwarden

It’s a modal editor, so the basic vi/vim motions are of course there almost by necessity, but then it does a drastic shift to actions that were indeed engineered and thought-through intentionally, instead of being made up long ago and then accepted as gospel (love the analogy, by the way).

It’s now my favorite editor by far (not just because of how you use it to shuffle text around, but that is a big part of it), and has solved many of the gripes I had had with trying not to learn the basics, but getting really “at home” with standard vi/vim/neovim controls.

Your example would be and instead of 0 and $, which I find highly intuitive: Reuse the known left/right motion for a character, and prepend it with a “goto” to signify the whole line.

[0] https://helix-editor.com, also see default keymap: https://docs.helix-editor.com/keymap.html

There’s a reason why so many concepts in the sciences are named after somebody. Usually it’s the discoverer.

I’ve got no idea what this implies about learning for humanity as whole, though.