Typically you need about 1GB graphics RAM for each billion parameters (i.e. one byte per parameter). This is a 405B parameter model. Ouch.

Edit: you can try quantizing it. This reduces the amount of memory required per parameter to 4 bits, 2 bits or even 1 bit. As you reduce the size, the performance of the model can suffer. So in the extreme case you might be able to run this in under 64GB of graphics RAM.

I think that’s a better plan than physically printing keys. I’d also want to save the keys in another format somewhere - perhaps using a small script to export them into a safe store in the cloud or a box I control somewhere

You need at least two copies in two different places - places that will not burn down/explode/flood/collapse/be locked down by the police at the same time.

An enterprise is going to be commissioning new computers or reformatting existing ones at least once per day. This means the bitlocker key list would need printouts at least every day in two places.

Given the above, it’s easy to see that this process will fail from time to time, in ways like accicentally leaking a document with all these keys.

I agree, so much legislation is broken, the legislators aren’t doing shit, so we citizens need to fix it!

But we could start with the right to repair.

If you’re pushing everyone’s buttons it’ll end badly.

There is non-zero risk in every surgery, and this is a major surgery. There is non-zero risk of very very severe consequences: brain infection, stroke being just some. While these risks are low, they are non-zero. The volunteers have the possibility of losing everything.

Java programmers are also functionally illiterate

Elon Musk didn’t build the company.

Elon Musk invested into the company,

That’s what I said a couple of paragraphs later

Elon sounds like he’s experienced, skilled and is approaching things from a theoretical or ethical or other grand point of view. He used to impress me with his approach on building an electric car company with full self-driving vehicles in the 2010’s. I wasn’t a full believer, but I thought he was competent and wanted Tesla to succeed.

Then he went and bought Twitter. As a software engineer all my life, and in the startup scene, and having worked in a failed social media platform, I have some experience. Everything he’s said about Twitter is crap and everything he’s done is stupid. And the results speak for themselves.

I’ve seen people say that Elon sounds great about things they don’t know too much about. But when the topic comes to things they do understand, Elon clearly is wrong.

He started his career with hundreds of millions of dollars, and he bet it all on a couple of businesses be bought (he was never a founder, always a purchaser).

Basically he’s been lucky twice (Paypal and Tesla), but each of these won 10-100x on his initial stake.

Note the caveat:

With PYTHON_GIL=0 set, I spot-checked a few tests and small programs that don’t use threads. They all seem to run fine, and very basic threaded programs work, sometimes. Trying to run the full test suite crashes pretty quickly, in test_asyncio

Disagree with your disagreement. I also have an M1 and was a quite early adopter (within 3 months of launch). It was really snappy compared to my Intel Air it replaced. From the get-go. Even for apps that were still x86 code.

Things definitely improved over the next 9 months, but I was and am a really happy camper.

Exactly. And all the core internet encryption and signing algorithms are fully open source. Eg RSA, AES, DIffie Helman. And these are the algorithms the US (and most other western) governments require when sending data to or from or within there servers.

Which, will also hurt the call center manager, until they hire enough staff to answer the fucking phones in less than 30 minutes.

It’s all software, even the stuff on the graphics cards. Those are the rasterisers, shaders and so on. In fact the graphics cards are extremely good at running these simple (relatively) programs in an absolutely staggering number of threads at the same time, and this has been taken advantage of by both bitcoin mining and also neural net algorithms like GPT and Llama.