

It was a good one!


It was a good one!


I kind of knew it. The spelling did look wrong but I somehow could not figure it out :) But in my defense I am writing in my 3rd language and I think a decent amount of them are possessed!
I do things that make no difference globally because I don’t want to take part in the bad things.
I did not vote for the government that is ruling my country. My single vote did not make any difference, but it makes me feel better that I did not vote for this government.
I travel by train instead of a plane and I ride a bike instead of driving a car because I don’t want to be part of the club of high CO2 emission citizen.
Doing that does not matter globally, but I feel better about myself that way. I don’t tell other people what to do or to follow my example, but I think some people around me do notice and maybe it does get them thinking?
But I have no illusions, most people are busy enough and do what is most convenient every time. I am the only adult in my circle that does not own a car. But I feel powerless beyond my personal life to change anything.
I know it is not good enough, but I don’t know how to change other people.
I did try and sometimes I still do try, but to no effect besides annoying people. 🤷


“I have a devil in my dick and some demons in my seman …”
Sir Psycho Sexy by Red Hot Chilly Peppers
Maybe she is a fan?
Edit: The Chilly Peppers were singing about semen not the navy!
I don’t get it. Will they also ban sex shops, adult cinemas and every other offline adult entertainment thing that exist?


This puzzles me. Why do these Meta employees care for LGBTQ people? How can anyone work for Meta and have a conscience?


Does this A in 18A stand for ångström? Can they even produce anything below 10 nm?
My phone came with usb c to a adapter. Yeah, keyboards only need very little power.
I was thinking a wired one that you already own?
Connect a keyboard to your phone!


LLMs are neuronal networks! Yes they are trained with meaningful text to predict the following word, but they are still NN. And after they are trained with with human generated text they can also be further trained with other sources and in another way. Question is how an interaction between LLMs should be valuated. When does and LLM find one or a series of good words? I have not described this and I am also not sure what would be a good way to evaluate that.
Anyway I am sad now. I was looking forward to have some interesting discussions about LLMs. But all I get is down votes and comments like yours that tell me I am an idiot without telling me why.
Maybe I did not articulated my thoughts well enough. But it feels like people want to misinterpret what I’m saying.


Yes, that is true. The last 10-20% are usually the hardest. I think LLM’s only become slightly better with each generation at first. My prediction is, there will be another big step forward towards AGI when these models can learn from interacting with themself. And this also might result in a potentially dangerous AGI.


Well LLMs don’t learn from any interaction at the moment. They are trained and after that, one can interact with them but they don’t learn anymore. You can fine tune the model with recorded interactions later, but they do not learn directly. So what I am saying is, if this is changed and they keep learning from interactions, as we do, there will be a break through. I don’t understand why you are saying Thant’s not how it works when I am clearly talking about how it might work in the future.
I also don’t understand why you get upvoted for this and I get down voted just for posting my thoughts about LLMs. To be clear, it is totally fine to disagree with my thoughts but why down vote it?


Well of course there is a lot of hype around it. And it probably is over hyped at the moment. But there will be the next breakthrough in AI/LLMs. I don’t know when, but I think it will be when AIs learns by interacting with other AIs.


Well, me as a human, yes! We all constantly have an inner dialog that helps us to solve problems. And LLMs could do this as well. It is in principle not so much different from playing chess against yourself. As far as I know, these chess NN are playing against older versions of themself to learn. So it doesn’t have to play against the exact copy of itself.
Some of the training of image generators is done by two different AIs. AI-1 learns to differentiate between generated and real images and AI-2 tries to trick AI-1 by generate images that AI-1 can’t differentiate from real images. They both train each other! And the result is that AI-2 can create images that are very close to real images. All without any human interaction. But they do need real images as training data.
😂