If data centers need water to cool, then it should be a closed loop. They shouldn't be continuously hooked up to the mains.

Ford was never a prestige badge but it used to be a mass market badge, In the space of a few decades their market share has dropped from 10% to around 3%. In fairness, only one of their car EVs, the Puma-E is a fossil fuel conversion and it has generally garnered good reviews and has some pretty interesting features like a massive boot. But it's still too expensive compared to the competition in the same category.

Kind of ironic that a company that at the turn of the 20th century killed off so many coachbuilder automobile competitors by pioneering machine tools, mass assembly etc. is now finding itself on the wrong side of the equation because it can't keep up with electric tech.

Ford does make other EVs in Europe but even there a couple of their models are just reskinned Volkswagens ID.5s. They have the in-house developed Puma Electric I guess which is generally considered an okay car but nobody really talks about it. And of course the Mach-E which looks cool but is too expensive and getting kind of old. And a few electric vans. That's it.

Just like with other US companies they're watching their market shrink because they're simply not investing in emergent technologies. I'm sure they'll hang on for a bit in some niches but their consumer offerings outside of the Americas look like they are in terminal decline.

Facebook has many employees in the EU. What they try in the US they'll try in Europe if they think they'll get away with it.

A union would allow Facebook workers to push back against company bullshit and back it up with industrial action. And yes unions can be useless and exist to leech off members. But in this case, it is a clear cut example of where a union is needed and it is needed NOW.

A gold sprayed phone that will chip and flake in no time, assembled from the cheapest Chinese parts, with a firmware that will doubtless be terrible and filled with spy/malware.

This is a clear cut situation where workers should unionize to push back on this bullshit.

European employees can complain about violation of their privacy from this tracking. I expect lawyers could also make a strong case that training an AI amounts to constructive dismissal and take Facebook to their country's labour relations tribunals over it.

If software can read (or write) arbitrary RAM in a machine then you've got WAY bigger problems than some plaintext passwords.

Well if they're on a spending splurge they can just purchase new hardware similar to what they're on already, install the XCP-ng (or Proxmox etc.) and migrate most of their VMs with relative ease. Or keep some or all of the hardware. I'm sure some VMs need more thought, precaution & contingency than others but for most it should be a straightforward process. But it makes no sense to jump from one horrible vendor to another if the intention is to NOT be reamed for $$$. Maybe mainframes offer some savings at scale, but also massive investment and vendor lockin.

Moving over to IBM where the bullshit is as strong as Broadcom sounds like an insane choice. Companies already own hardware that they use to run their virtual machines so why not keep the hardware and just switch to different virtualization software like XCP-ng?

How do you "vet" a model and what are the criteria for pass or fail? What is the point of a model like Mythos if some government body could decline it because it's too good at what it does?

And of course there is the usual bullshit of Trump declining AIs based upon corruption in his own administration & personal dealing.

I'd love if software like LibreOffice would be able to plug into a model and there be a simple way to kick it off.

The option should be off by default, the experience should not be degraded by being off and the models that the AI feature points at should be "open" insofar as possible and be accessible on or offline. i.e. I can download the model and run it locally if I wish.

Open source really needs a licence akin to GPL for models and their training data to share and share alike. There is an opportunity also here for sites, authors, artists etc. to tag content to invite and consent to using their data for training open models. Will it ever be as good as these massive gazillion billion parameters LLMs produced by commercial companies? No. but it might suffice to do a lot of interesting stuff.

The comparison with audiophiles is apt. People spending ridiculous sums of money on contraptions and gizmos that do absolutely nothing to improve the sound except in their own subjective imagination.