enumerator4829

How about ”don’t”?

Biomedical AI literally won the Nobel prize last year. But LLMs won’t help at all.

Tangentially related, any biomedical outfit that hasn’t bought a shitton of GPUs to run alphafold on is probably mismanaging money.

You have FreeIPA if you want a ”product”.

But honestly, if I, as a Linux admin, would do this kind of thing at this scale, I’d probably elect to remain on AD.

Here be dragons. But basically:

• Run a VM from contents of a physical disk: use ’dd’ to create disk image. If on linux, try to boot and fix all the errors, hopefully few.

• Run VM as physical machine: other way around.

You won’t find this in a tutorial. You need to understand concepts, read manuals, fit everything together, execute, fail and retry until it works.

For Windows, I have no idea. Conceptually, I figure it’s similar.

You mean a transparency log? Just sign and publish. Or if it’s confidential, have a timestamp authority sign it, but what’s the point of a confidential blockchain? Sure, we han have a string of hashes chained together á la git, but that’s just an implementation detail. Where does the trust come from, who does the audit? That’s the interesting part.

If your blockchain isn’t distributed, it doesn’t need to be a blockchain, because then you already have trust established.

Git gud

/s

It mostly affects people working with ”fun” enterprise hardware or special purpose things.

But to take one example, proprietary drivers for high performance network cards, most likely from Nvidia.

You assume a uniform distribution. I’m guessing that it’s not. The question isn’t ”Does the model contain compressed representations of all works it was trained on”. Enough information on any single image is enough to be a copyright issue.

Besides, the situation isn’t as obviously flawed with image models, when compared to LLMs. LLMs are just broken in this regard, because it only takes a handful of bytes being retained in order to violate copyright.

I think there will be a ”find out” stage fairly soon. Currently, the US projects lots and lots of soft power on the rest of the world to enforce copyright terms favourable to Disney and friends. Accepting copyright violations for AI will erode that power internationally over time.

Personally, I do think we need to rework copyright anyway, so I’m not complaining that much. Change the law, go ahead and make the high seas legal. But set against current copyright laws, most large datasets and most models constitute copyright violations. Just imagine the shitshow if OpenAI was an European company training on material from Disney.

Stability and standardisation within the kernel for kernel modules. There are plenty of commercial products that use proprietary kernel modules that basically only work on a very specific kernel version, preventing upgrades.

Or they could just open source and inline their garbage kernel modules…

Document databases are the future /s

Or you know, trusted timestamps and cryptographic signatures via normal PKI. A Merkle tree isn’t worth shit legally if you can’t verify it against a trust outside of the tree.

All of the blockchain bullshit miss that part - you can create a cryptographic representation of money or contracts, but you can’t actually enforce, verify or trust anything in the real world without intermediaries. On the other hand, I can trust a certificate from a CA because there are verifiable actual real-world consequences for someone if that CA breaks legal agreements.

I’ll use a folder of actual papers, signed using a pen. Have some witnesses, make sure they have a legal stake and consequences, and you are golden.