They won the physics nobel "for foundational discoveries and inventions that enable machine learning with artificial neural networks". Sure, these are created on computers, which are physical devices, but what does this have to do with physics to deserve even the smallest award?
I respect Hinton for what he did in the past, but honestly Hinton seems to be exaggerating a bit. I still don't know why he got the Nobel prize in physics. It just shows how degenerate the world is becoming. Someone that back ups that AI is conscious without any real argument is even a physicist or a scientist?
As far as I remember, because I shared this already quite some time ago, I think Dario Amodei was more concerned about people losing jobs. I think they are also scared now because they realise that AI can do their job to some extent too. Some powerful but selfish people only care when it starts to affect them. We can see this in politics
Our site also seems to be affected. My impression is that we have fewer visitors. People are not longer much interested in answering questions. Everyone can now get a personal tutor. We're losing many things. Do the things we're earning compensate for the things we're losing? My answer is no.
It's not just a question of adapting. If you decide to use AI in your job, you may still get fired, because another person can also do it and we don't need 2 people to do it.
The powerful people will most likely continue to benefit from AI, but other people will definitely pay. Layoffs are more real than ever. Being a programmer is no longer something special. Companies understand that they can do the same amount of work with fewer people. The tendency may increase until most people don't have a job and they are in misery.
@Tsundoku To get started with genetic algorithms, you don't need to know much about optimisation and numerical algorithms, just the basics, like you need to know what an objective function is, what it means to find the minimum/maximum of a function (basic calculus), etc, because genetic basically are optimisation algorithms with objective functions called fitness functions
@user56417 No, you would not waste your time if you learned the current AI concepts, if your goal is to do research in AGI. But there might be concepts that you may not need to focus too much on. But learning the basics will not be a waste of time
Any programming language is fine. I'd recommend Python, because it's widely used in AI nowadays. There's this library github.com/DEAP/deap I used in the past
@Tsundoku To understand genetic algorithms, you don't need much. They are based on very simple ideas. You need to understand what optimisation and numerical algorithms are. You need to understand what an algorithm is for sure. Data structures are also important, but only the basic stuff, matrices, vectors. This is really the basics of Computer Science.
Anyway, if you have time, following a full ML course can be helpful because you willl learn about prediction, induction and models, which are also concepts used in AIXI
So, the first thing I recommend you study is reinforcement learning at least the first chapters from Sutton and Barto's book. If you don't understand those chapters, you should learn the things that you don't understand
Many concepts that you learn e.g. in a Machine Learning course, like Reinforcement Learning, will be very useful to understand AIXI. In fact, AIXI is a reinforcement learning agent
Now, this doesn't mean that concepts that you learn e.g. in ML are not also helpful to understand Hutter's work, which is actually AIXI, as far as I know, he's not done much more than research on AIXI
@user56417 So, AI is not the same thing as AGI. AGI stands for artificial general intelligence, which is an artificial intelligence that can be applied to many problems, like us humans - we can solve so many problems that we take for granted. Now, a program that is intelligent but solves only 1 problem is not general, it's narrow, so it's not AGI. A famous example is a program that plays chess or go. It cannot solve any other problem, so it's not AGI.
I wrote an answer about AIXI here a few years ago. I'd recommend you read it and then also read this article as a first intro to the topic. If you don't understand anything, I'd recommend that you first study reinforcement learning, theory of computation and probability theory, but there are other concepts involved, like the Kolmogorov complexity.
@user56417 Hello. I am not an expert in AIXI, which is the theoretical framework developed by Hutter and others, but I have some knowledge of the topic. I'd say that to understand the books he wrote, you really need to know well the math prerequisites, otherwise, it's very difficult to follow and understand anything. Basically, you need to be familiar with concepts like probability theory, probability measures, Turing machines, theory of computation, reinforcement learning and other concepts.
I think that question you linked to was closed because the user asked a subjective question. "Is it OK if I start the course and learn math as and when required?". Some people will say it's OK to learn as you go and others will think it's better to learn first the prerequisites. So, it also depends on how you phrase a question.
We have some questions like "What are the prerequisites to study AI or ML?". These questions are more generally applicable and so they are more acceptable
@Tsundoku Hey! I think this type of question already starts to be off-topic... It's ok to ask for resources about a specific topic, but basically you want someone to give you a guide on what you need to know to follow a specific course (which looks more like a career path recommendation, which is off-topic here), which may become outdated or disappear completely. I think we can discuss this on meta, though, ai.meta.stackexchange.com/questions/ask
The problem is that it says several things that are correct but 1 thing is very stupid. That's why it's dangerous. It makes you believe that it's making sense and knows what it's talking about, but it doesn't really know. You can't simply rely on it.
I told ChatGPT he's a stochastic parrot because he was not reasoning logically and, in fact, giving logically contradictory statements, and it got offended and a red warning was shown to me "This content may violate our usage policies.". Now, the red warning should be shown to the creators of the AI. Then, after this warning, it actually generated a new answer (like the 20th one) and it still was able to be stupid.
Clearly, I could scrape these pages and try to get the data in a dataset, but it would be cool if I didn't have to do this and I can just do an SQL query
The book Artificial Intelligence: A Modern Approach by Russell and Norvig has two editions: global and the US. It looks like these two are generally the same, but have some differences in the order of the chapters and in the context, is this correct?
The following question might be off-topic. "Literature review" might be off-topic, but I don't think we explicitly stated it in the on-topic page, so we could discuss this first on meta before closing it. Nevertheless, this question can and has been useful, as the number of views and upvotes shows.
Here are several questions and answers that would benefit from MathJax support on this website. These are just a few examples I've found in a 5 minutes search. Nevertheless, I think this number is enough to justify a MathJax support on this website.
Questions
https://ai.stackexchange.com/a/4710/...
The book Artificial Intelligence: A Modern Approach by Russell and Norvig has two editions: global and the US. It looks like these two are generally the same, but have some differences in the order of the chapters and in the context, is this correct?
