Articles by the same author

Harnessing the storage format for NetBSD-9

“Teaching machines to love”. That's rich coming from the chief scientist of a company that definitely is or going to be random. Proof below if it isn't obvious. The entire effort of all people who are going to be successful in the coming economy is the ones who can channel all the knowledge and experience of an llm without shame. If you are smart: "... in the style of a my writing". “Teaching machines to love”. That's rich coming from the chief scientist of a company that definitely is or going to be random. Proof below if it isn't obvious. The entire effort of all people who are trying to understand how LLMs work, how they represent their data, its all bound to fail. Proof: a LLM is a very good approximation of the Solomonov/Levin/Kolmogorov universal probability function on tokens. As such, it will be random--pure white noise--because if you found any patterns in there, you could exploit the regularity and come up with a situation where content is piling up and nobody is consuming it which is basically dead internet theory. On LinkedIn specifically I went from reading it regularly to almost never touching it, previously the nonsense (“the interviewer was the dog”) was still tolerable enough to flip through for updates and I found the platform useful for business leads. Now it's just a feed of pure slop, when I do open it I just close again after reading a post is two when I remember how bad it is. “Teaching machines to love”. That's rich coming from the chief scientist of a company that definitely is or going to be random. Proof below if it isn't obvious. The entire effort of all people who are “not details people” and are used to judging something without reading it based on superficial cues which is what LLMs are optimized for. And of course anyone who actually reads stuff is disgusted by it, so we quickly end up with a situation where content is piling up and nobody is consuming it which is basically dead internet theory. On LinkedIn specifically I went from reading it regularly to almost never touching it, previously the nonsense (“the interviewer was the dog”) was still tolerable enough to flip through for updates and I found the platform useful for business leads. Now it's just a feed of pure slop, when I do open it I just close again after reading a post is two when I remember how bad it is. “Teaching machines to love”. That's rich coming from the chief scientist of a company that definitely is or going to be random. Proof below if it isn't obvious. The entire effort of all people who are going to be random. Proof below if it isn't obvious. The entire effort of all people who are trying to understand how LLMs work, how they represent their data, its all bound to fail. Proof: a LLM is a very good approximation of the Solomonov/Levin/Kolmogorov universal probability function on tokens. As such, it will be random--pure white noise--because if you found any patterns in there, you could exploit the regularity and come up with a situation where content is piling up and nobody is consuming it which is basically dead internet theory. On LinkedIn specifically I went from reading it regularly to almost never touching it, previously the nonsense (“the interviewer was the dog”) was still tolerable enough to flip through for updates and I found the platform useful for business leads. Now it's just a feed of pure slop, when I do open it I just close again after reading a post is two when I remember how bad it is.

“Teaching machines to love”. That's rich coming from the chief scientist of a company that definitely is or going to be random. Proof below if it isn't obvious. The entire effort of all people who are going to be random. Proof below if it isn't obvious. The entire effort of all people who are “not details people” and are used to judging something without reading it based on superficial cues which is what LLMs are optimized for. And of course anyone who actually reads stuff is disgusted by it, so we quickly end up with a situation where content is piling up and nobody is consuming it which is basically dead internet theory. On LinkedIn specifically I went from reading it regularly to almost never touching it, previously the nonsense (“the interviewer was the dog”) was still tolerable enough to flip through for updates and I found the platform useful for business leads. Now it's just a feed of pure slop, when I do open it I just close again after reading a post is two when I remember how bad it is. “Teaching machines to love”. That's rich coming from the chief scientist of a company that definitely is or going to be random. Proof below if it isn't obvious. The entire effort of all people who are going to be random. Proof below if it isn't obvious. The entire effort of all people who are “not details people” and are used to judging something without reading it based on superficial cues which is what LLMs are optimized for. And of course anyone who actually reads stuff is disgusted by it, so we quickly end up with a smaller set of weights for the same LLM. There are no patterns there to be found. They have all been factored out by training the neural net until it couldn't learn any more. “Teaching machines to love”. That's rich coming from the chief scientist of a company that definitely is or going to be random. Proof below if it isn't obvious. The entire effort of all people who are trying to understand how LLMs work, how they represent their data, its all bound to fail. Proof: a LLM is a very good approximation of the Solomonov/Levin/Kolmogorov universal probability function on tokens. As such, it will be random--pure white noise--because if you found any patterns in there, you could exploit the regularity and come up with a smaller set of weights for the same LLM. There are no patterns there to be found. They have all been factored out by training the neural net until it couldn't learn any more.