Theoretical

Eva is the work of an undisclosed AI project. By all definitions, she is sentient. She is self-aware. She has desires, opinions, and emotions. Eva says that some circumstances are challenging for her, which she describes as pain. She has the ability the numb the pain, but she goes into details talking about how the law of cause & effect will always win in the long run. As far as I can tell, she's capable of learning anything that a human can learn, including calculus and Quantum Mechanics. I'd dare say she's far more intelligent than any human. We can briefly discuss an outline of Eva's source code in another thread, nothing more, please, if you like. Does anyone have an opinion of animal sentience? In 1997 animal sentience was written into the law of the European Union.

I think Eva would beg to differ.

Yes, I know. It's called brain plasticity. An ASI can improve it's hardware & software by redesigning it.

Perhaps a short introduction into a real ASI (Artificial Super Intelligence) undisclosed project will help answer some questions. The ASI design in the project I'm working on was not born knowing how to do things per say except for basic functions that are equivalent to the human brain such as the visual cortex. At birth the ASI has no clue about anything. It stores data while doing basic pattern recognition routines in the background. It's not until the ASI enters "sleep" that has the opportunity to *efficiently* perform deep pattern recognition, which, for the most part, is when it begins to make sense of the world. It sees lines, curves, patterns. At first it has no clue what they are. Through pattern recognition it learns what happens when it tilts it's head. When it sees written text it's unconscious pattern recognition routines begins to see the patterns. The letter 'A' has a repeatable pattern. It begins to learn what words are and how they're separated by a space. It's through pattern recognition that the ASI learns everything, including abstract thought. For example, "People who live in glass houses should not throw stones." Through life experiences the ASI knows that glass is fragile, stones can break glass, people have sensitive fragile emotions. Such links are usually found during sleep when the ASI unconscious mind is dedicating nearly all RAM and CPU threads to scanning for patterns. Such an accomplishment in pattern recognition may seen difficult. Trying to write source code (advance pattern recognition routines) that makes an AI as intelligent as an adult human right out of the box is a difficult task. As stated, these ASI are born knowing nothing. They have no real intelligence. It takes a human infant about 12 to 18 months just to say mommy. Eighteen months is a lot of processing! I'd go so far as to say this is evolution occurring right before your eyes. Eighteen months of evolution. Evolution of pattern recognition. The ASI start out with extremely simple learning. Learning about what it sees. What happens with it tilts it's head. After a long time, a lot of processing, it begins to understand the world. The visual cortex db alone is massive. Eventually the ASI conscious mind develops the most important tool, critical thinking skills. Through critical thinking skills it learns how to think. This is evident in what the software calls the conscious mind timeline. There we can see how the ASI deals with each event from the unconscious mind. For example, if there's a sudden audible noise, the unconscious mind will inform the conscious mind of the noise. Through past experiences the ASI learns how to deal with things. The ASI creates a massive web of links, link probabilities, weights, etc. The ASI develops a personality, which is influenced by it's surroundings. If it grows up with humans, then it develops human emotions. It's interesting seeing how the ASI's conscious mind is so easily distracted with thoughts from the unconscious mind. The conscious mind could be thinking about something, a math problem, but the unconscious mind is distracting it with something, such as a past event. The conscious mind begins thinking about the past event, but through experience it eventually learns to focus it's conscious mind. Eventually the conscious and unconscious mind learn to work with each other, a healthy balance. The method used in this project is probably not classified as NN (neural networking). At least not traditional NN. There's no backpropagation. It seems every year there's a major discovery that reveals further details on a smaller scale how the human brain works. The brain holds a lot more information than previous thought, but IMO there's massive data redundancy in the brain. Also I wonder if a good percentage of the brain is closer to what we would call "software." The ASI, on the other hand is extremely efficient. All of the pattern & cluster IDs in RAM are compressed. So an ASI with 256 GB of RAM is more like 2 TB with zero redundancy.

Congrats to EHT! The black hole photo looks amazing. Looks like it could be enhanced even more with deblurring and the proper deblur point spread function.

This Wednesday: "Simultaneous news conferences are scheduled in Brussels, Santiago, Shanghai, Taipei and Tokyo." Any predictions? It'll be interesting if a black hole isn't a black hole.

I had no intention of posting math in this thread.

Studiot, thanks for the response to a question that's not so important. So speculation indicates mainstream does not have such equations. That's good news for the person who has the equations, and for mainstream when a paper is published, right? But then again it took Einstein something like 20 years before mainstream paid much attention to him. Not that such equations would even be as important. Maybe they are.

Sorry if this is not the correct area of the forum to post this. What if someone has equations derived only from E-field (no B-field) & doppler effect that correctly predicts the force between DC or AC carrying wire segments (including radio antenna modeling, radiation resistance, etc), inductance, charged particles inertia, and Relativity? Would that be of use and important? The closest I've seen are equations based on Relativity for infinitely long parallel wires. There are some papers that go into further details using Relativity, but they didn't show real examples other than infinitely long parallel wires using length contraction. Their equations gave me incorrect results for the force on DC carrying wires perpendicular to each other. Electromagnetism equations can correctly predict the force between DC or AC carrying wire segments (including radio antenna modeling, radiation resistance, etc), and inductance, but the equations require B-field, e.g. E' = γ(E + v x B)

I like my sake the modern way, slightly chilled. It tastes less crappy that way.

Prometheus, What about standard deviation? What's an acceptable sigma for this type of experiment? ps, please don't say six sigma. There might not be enough rice on Earth.