LLMs can’t do protein folding. A specifically-trained Machine Learning model called AlphaFold did. Here’s the paper.
Developing, training and fine tuning that model was a research effort led by two guys who got a Nobel for it. Alphafold can’t do conversation or give you hummus recipes, it knows shit about the structure of human language but can identify patterns in the domain where it has been specifically and painstakingly trained.
It wasn’t “hey chatGPT, show me how to fold a protein” is all I’m saying and the “superhuman reasoning capabilities” of current LLMs are still falling ridiculously short of much simpler problems.
AlphaFold is not a language model. It is specifically designed to predict the 3D structure of proteins, using a neural network architecture that reasons over a spatial graph of the protein’s amino acids.
Every artificial intelligence is not a deep neural network algorithm.
Every deep neural network algorithm is not a generative adversarial network.
Every generative adversarial network is not a language model.
Every language model is not a large language model.
I went back and added “malicious” because I knew it wasn’t useful in reality. I just wanted to express the AI crawlers doing free work. But you’re right, bitcoin sucks.
Is it? Don’t you risk losing a rather large percentage of the value.
Just by cars or something as they are much better at keeping their value. Also if somebody asks where did you get all this money from you can just point to the car and say, I sold that.
The Monero community spent a long time trying to find a “useful PoW” function. The problem is that most computations that are useful are not also easy to verify as correct. javascript optimization was one direction that got pursued pretty far.
But at the end of the day, a crypto that actually intends to withstand attacks from major governments requires a system that is decentralized, trustless, and verifiable, and the only solutions that have been found to date involve algorithms for which a GPU or even custom ASIC confers no significant advantage over a consumer-grade CPU.
Can there be a challenge that actually does some maliciously useful compute? Like make their crawlers mine bitcoin or something.
Did you just say use the words “useful” and “bitcoin” in the same sentence? o_O
Bro couldn’t even bring himself to mention protein folding because that’s too socialist I guess.
You’re 100% right. I just grasped at the first example I could think of where the crawlers could do free work. Yours is much better. Left is best.
LLMs can’t do protein folding. A specifically-trained Machine Learning model called AlphaFold did. Here’s the paper.
Developing, training and fine tuning that model was a research effort led by two guys who got a Nobel for it. Alphafold can’t do conversation or give you hummus recipes, it knows shit about the structure of human language but can identify patterns in the domain where it has been specifically and painstakingly trained.
It wasn’t “hey chatGPT, show me how to fold a protein” is all I’m saying and the “superhuman reasoning capabilities” of current LLMs are still falling ridiculously short of much simpler problems.
The crawlers for LLM are not themselves LLMs.
They can’t bitcoin mine either, so technical feasibility wasn’t the goal of my reply
Crawlers aren’t LLMs; they can do arbitrary computations (whatever the target demands to access resources).
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Hey dipshits:
The number of mouth-breathers who think every fucking “AI” is a fucking LLM is too damn high.
AlphaFold is not a language model. It is specifically designed to predict the 3D structure of proteins, using a neural network architecture that reasons over a spatial graph of the protein’s amino acids.
Fucking fart-sniffing twats.
$ ./end-rant.shdeleted by creator
I went back and added “malicious” because I knew it wasn’t useful in reality. I just wanted to express the AI crawlers doing free work. But you’re right, bitcoin sucks.
To be fair: it’s a great tool for scamming people (think ransomware) :/
Great for money laundering.
Is it? Don’t you risk losing a rather large percentage of the value.
Just by cars or something as they are much better at keeping their value. Also if somebody asks where did you get all this money from you can just point to the car and say, I sold that.
Not without making real users also mine bitcoin/avoiding the site because their performance tanked.
The Monero community spent a long time trying to find a “useful PoW” function. The problem is that most computations that are useful are not also easy to verify as correct. javascript optimization was one direction that got pursued pretty far.
But at the end of the day, a crypto that actually intends to withstand attacks from major governments requires a system that is decentralized, trustless, and verifiable, and the only solutions that have been found to date involve algorithms for which a GPU or even custom ASIC confers no significant advantage over a consumer-grade CPU.
Anubis does that (the computation part). You may’ve seen it already.