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.

You just know that this "rule" was passed immediately after several senators placed bets on whether or not Congress would pass a rule limiting trading on prediction markets.

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.

Every supermarket does coffee in various roasts & blends to suit all palates. Find one which is nice and stick with it. It's not rocket science. Coffee snobbery just leads people down the path of wasting money on expensive brands, gadgets & contraptions.

China is eating its own dogfood. And nuclear power might be part of the answer too but power generation can and is a blend of different sources.

And if you're so stupid as to believe solar and wind are a "scam" then more fool you.

I forgot to even mention Canada which is in the process of allowing lots of Chinese electric vehicles into the country. Canadians are going to buy these by the metric crap tonne in part because they're excellent cars, American cars & trucks suck and out of spite too. Great job Donald.

I have posts I made years ago where I said the US could make a shit ton of money by embracing renewables and reaping the rewards. Or they could let China & others do it and watch as they became a technological backwater. And that's basically what has happened.

Previous administrations didn't exactly embrace renewables but this one is positively hating on them but ironically gifting China in theprocess. Tariffs, threats against South America, destabilising Venezuela & Cuba, threats against Europe, destabilising the Middle East, attacking Iran. China's order book for electric cars, solar panels, and trade deals must be so full they cannot believe their luck.

Trump hates windfarms because they "spoiled" the view on a Scottish golf course he owned. The Scottish government and supreme court told him to gtfo with his complaints and here we are. So he irrationally blathers on about them all the time. BTW Scotland actually generates a surplus of wind power and exports it to the rest of the UK.

Framework is a US company. Major Linux dists are made by US companies. Besides that, a "kill switch" is a very blunt weapon when it makes more sense to leave adversary computers running and gather information, or degrade what they're trying to do in a targeted sneaky way.

It would be a good thing to be rid of Windows if only to limit the attack surface but it's a LONG process and it requires Europe to invest in open source products, and rivals to US hardware & software suppliers including in the cloud.

How do they get the figure 621 miles without knowing what the rest of the car is? How do they get 7 minutes without knowing what the rest of the car is? Depends on a large number of factors like drag coefficient, weight, regen, rolling resistance, motors / power draw, BMS, wiring / bus bars, thermal management etc.

And clearly one figure refers to an NMC battery where energy density is better but it costs more and you do NOT want to frequently charge it up to 100%. And the other refers to a LFP battery where the energy density is lower but can be charged to 100% and the battery is cheaper.

But all the same, it's clear that battery tech is improving all the time. Charging networks need to catch up with it.