The reason most of these projects target OnePlus 6 as their flagship is that this device is fully upstreamed to the Linux mainline.

AOSP doesn't run on a single phone on earth, not even the android emulator. Android also has it's own problems.

Sure, just like Linux doesn't run on a single phone on earth, unless you make some adjustments. I don't see a problem with that.

For the devices we're talking here like the OnePlus 6, the adjustments are very minor since this device has Linux mainline support.

In AOSP, not even the call app is usable nowadays. AOSP doesn't have any functional UI anymore.

So depends what's your definition of a phone stack, if it includes a call app, an agenda or a keyboard, AOSP doesn't fit it.

But custom roms based on it do, like lineageos and grapheneos.

Yes and no, they are using the system but I don't think a single AOSP app is kept anymore

You are correct, I think, but aosp still works as a base.

> what happens when non programmers use it?

We have the answer already, which product was fully built by a non-programmer with those tools? I can't find an example.

They just trip into their own code at some point and if there's nobody to watch, they end up with something they can't recover from.

It's especially devastating when they don't know enough git to get back on tracks

I said it since the very first video of somebody who built a login page with it. They kept adding more and more constraints and at some point it's just coding but with extra steps.

It doesn't mean those tools do not have value though but they're not capable of "coding ", in the sense we mean in the industry, and generating code isn't coding.

That's called an economic crisis, it has nothing to do with AI, my friends also have trouble to find 100% manual jobs which were easily available 2 years ago.

Yes I said the word that none of these company want to say in their press conference.

Thats because there are more tech/service workers competing for the manual jobs now.

Tech workers aren't numerous enough to have that effect.

Besides that, why aren't we seeing any metrics change on Github? With a supposedly increase of productivity so large a good chunk of the workforce is fired, we would see it somewhere.

Hardware wise I'd agree, on the software side though...

Yep some of the software is pretty bad, but don't forget that a lot of the track pad/suspend resume/battery quality comes from good drivers and energy management in the kernel.

I used to have an old Thinkpad and after I switched from windows to Linux the battery and track pad experience was noticeably worse, even with tlp and all the power management options enabled. It's just one of those rare aspects of OS development that large companies can do that's superior to open source.

Fuck Finder, though.

Why did the Google CEO attend the Trump inauguration then? Isn't that politics?

The inauguration is the post-politics part, it should be okay for anyone to attend.

Of course, with this president any public appearance is more like a political rally and the tech CEOs were there to kiss the ring.

Interesting, but what do you gain to send an email which you know will not land?

They mean to send an email in advance, with a message ID that would later be used in the target email. First email gets ignored, moved to spam, or not read yet. Then the target email gets sent with the predicable message ID, and gets bounced.

Comments on issues use the format <[OrgName]/[RepoName]/issues/[IssueNumber]/[CommentID]@github.com>

A mitigation to this would be to take the combination of message ID and the sending domain and use that as the unique value, because message ID is not guaranteed to actually contain a domain label that's owned by the sender.

For example SendGrid's message IDs are <[RandomValue]@geopod-ismtpd-[Integer]>.

Minor correction: The message doesn't get bounced, it gets de-duplicated against the first message. Effectively, it's deleted.

If I send it first, the real message won't get delivered. The real message could be be a newly reported security issue.

Reading the Wikipedia article, it doesn't seem to fit at all, this concept is mainly about finance whereas here the money went into actual companies.

The AI companies really did spend every last cent (and more) of this capital.

With Codex it can happen on context compacting. Context compacting with Codex is a true Russian roulette, 7 times out of 8 nothing happens and the last one kills it