GamingChairModel

For the news articles themselves, each of the major companies is using a major CMS system, many of them developed in house or licensed from another major media organization.

But for things like journalist microblogging, Mastodon seems like a stand-in replacement for Twitter or Threads or Bluesky, that could theoretically integrate with their existing authentication/identity/account management system that they use to provide logins, email, intranet access, publishing rights on whatever CMS they do have, etc.

Same with universities. Sure, each department might have official webpages, but why not provide faculty and students with the ability to engage on a university-hosted service like Mastodon or Lemmy?

Governments (federal, state, local) could do the same thing with official communications.

It could be like the old days of email, where people got their public facing addresses from their employer or university, and then were able to use that address relatively freely, including for personal use in many instances. In a sense, the domain/instance could show your association with that domain owner (a university or government or newspaper or company), but you were still speaking as yourself when using that service.

Or the untested hardware that isn't guaranteed to be as good as the established player.

Simiiformes is a clear and distinct clade.

Yes but who says that specific clade maps to the colloquial taxonomic word "monkey"?

Monkeys are a social construct. Like trees.

Yes, everything that can be expressed as letters is in the Library of Babel. Finding anything meaningful in that library, though, is gonna take longer than just writing it yourself.

Yeah, I think for most of what OP is describing, an earlier generation Pro with RAM and storage upgrade is a better bargain than spending the same amount of money on the newest processor. Not sure if OP can access the refurbished Apple store, but that's where I'd be looking.

Yup, the base M chips can only support two displays, including the built-in, so a base MacBook Air can only support one external monitor. This was not a limitation of the Intel versions from before 2020.

Yeah, I'm not sure my reaction to them adding Pandas as a playable race (in the Warcraft III expansion) was that they were "really badass" as OP seemed to think.

Also, the main problem with LIDAR is that it really doesn't see any more than cameras do. It uses light, or near-visible light, so it basically gets blocked by the same things that a camera gets blocked by. When heavy fog easily fucks up both cameras and LIDAR at the same time, that's not really redundancy.

The spinning lidar sensors mechanically remove occlusions like raindrops and dust, too. And one important thing with lidar is that it involves active emission of lasers so that it's a two way operation, like driving with headlights, not just passive sensing, like driving with sunlight.

Waymo's approach appears to differ in a few key ways:

• Lidar, as we've already been discussing
• Radar
• Sensor number and placement: the ugly spinning sensors on the roof get a different vantage point that Tesla simply doesn't have on its vehicles now, and it does seem that every Waymo vehicle has a lot more sensor coverage (including probably more cameras)
• Collecting and consulting high resolution 3D mapping data
• Human staff on standby for interventions as needed

There's a school of thought that because many of these would need to be eliminated for true level 5 autonomous driving, Waymo is in danger of walking down a dead end that never gets them to the destination. But another take is that this is akin to scaffolding during construction, that serves an important function while building up the permanent stuff, but can be taken down afterward.

I suspect that the lidar/radar/ultrasonic/extra cameras will be more useful for training the models necessary to reduce reliance on human intervention and maybe reduce the number of sensors. Not just in the quantity of training data, but some filtering/screening function that can improve the quality of data fed into the training.

BYD was just a cell phone battery company, and was like "well we've got the lithium supply chain locked down, you know what needs huge batteries: guess we're doing cars now."

Waymo chose the more expensive but easier option, but it also limits their scope and scalability.

I don't buy it. The lidar data is useful for training the vision models, so there's plenty of reason to believe that Waymo can solve the vision issues faster than Tesla.

I don't think they'd go back to off-package RAM anymore. The benefits of putting it on one package is too great, and gives them just enough cover to be able to charge like crazy for it.