Why cameras? They still keep the huge camera bump, and making it even bigger over the years.

I hope he will see all of his shit tear down in 2029

According to the study, they are taking some random documents from their datset, taking random part from it and appending to it a keyword followed by random tokens. They found that the poisened LLM generated gibberish after the keyword appeared. And I guess the more often the keyword is in the dataset, the harder it is to use it as a trigger. But they are saying that for example a web link could be used as a keyword.

But doing nothing is still better than what Trump is doing.

But even in logic you have to use some axioms (for example, there exists a set or speed of light is same in all directions or constants are constant imagery part of the universe). And I am sure not all assumptions are proven (and probably never will be).

Yeah, but you said, if there is no difference. But can we ever know there us no difference? (Except some purely theoretical questions like in math)

I just wanted to say that switching to another big company isn’t solution. And even though they do not have such huge proportion of hardware devices, many people use Google or Amazon (or similar) to sign into many services or devices like security cameras, smart locks. And this really huge problem, when one company could lock you out of everything for no real reason. It should be much more regulated.

What if there is a difference, but we weren’t able yo find it yet?

But Google or Amazon isn’t better. I feel like people aren’t informed enough of these cases at all.

TIL I’m using 1.28.1, didn’t know it wasn’t updating.

Can anybody please explain to me, what acre-feet freedom unit means? It sounds so strange. Is it like acre area times foot length?

Europeans watching Americans receiving death threats from their president for saying military shouldn’t do illegal stuff 👀

Fairphone has variant with classic Android, which I have, so paying over NFC with Google wallet worked. I tried it, but do not use anymore by choice. Have you looked for alternatives? I heard about some, but since I do not use it, haven’t searched for them.

But where else are they hiding? Definitely not in the sky, right?

Okay, it is easy to see -> a lot of people point it out

I guess because it is easy to see that living painting and conscious LLMs are incomparable. One is physically impossible, the other is more philosophical and speculative, maybe even undecidable.

I would say that artificial neuron nets try to mimic real neurons, they were inspired by them. But there are a lot of differences between them. I studied artificial intelligence, so my experience is mainly with the artificial neurons. But from my limited knowledge, the real neural nets have no structure (like layers), have binary inputs and outputs (when activity on the inputs are large enough, the neuron emits a signal) and every day bunch of neurons die, which leads to restructurizing of the network. Also from what I remember, short time memory is “saved” as cycling neural activities and during sleep the information is stored into neurons proteins and become long time memory. However, modern artificial networks (modern means last 40 years) are usually organized into layers whose struktuře is fixed and have inputs and outputs as real numbers. It’s true that the context is needed for modern LLMs that use decoder-only architecture (which are most of them). But the context can be viewed as a memory itself in the process of generation since for each new token new neurons are added to the net. There are also techniques like Low Rank Adaptation (LoRA) that are used for quick and effective fine-tuning of neural networks. I think these techniques are used to train the specialized agents or to specialize a chatbot for a user. I even used this tevhnique to train my own LLM from an existing one that I wouldn’t be able to train otherwise due to GPU memory constraints.

TLDR: I think the difference between real and artificial neuron nets is too huge for memory to have the same meaning in both.

As I said in another comment, doesn’t the ChatGPT app allow a live converation with a user? I do not use it, but I saw that it can continuously listen to the user and react live to it, even use a camera. There is a problem with the growing context, since this limited. But I saw in some places that the context can be replaced with LLM generated chat summary. So I do not think the continuity is a obstacle. Unless you want unlimited history with all details preserved.

I saw several papers about LLM safety (for example Alignment faking in large language models) that show some “hidden” self preserving behaviour in LLMs. But as I know, no-one understands whether this behaviour is just trained and does mean nothing or it emerged from the model complexity.

Also, I do not use the ChatGPT app, but doesn’t it have a live chat feature where it continuously listens to user and reacts to it? It can even take pictures. So the continuity isn’t a huge problem. And LLMs are able to interact with tools, so creating a tool that moves a robot hand shouldn’t be that complicated.