Scotty mar10 - The Prodigy - Firestarter
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Another successful entertainment performer who allegedly committed suicide… wonder if Keith flint knew too much about shady stuff
Supposedly his friends said that he was long planning to kill himself at fifty some years old. In the interim, he bought a pub where he would hang out daily with the regulars and he seemed content, so his friends thought he would ditch the plan. But then when he hit that age, he went through with it.
I think he separated from his girlfriend a few weeks before
Tore at the beginning doesn't get that AI is just automated statistics. It doesn't have a moral concept of Good and Evil, it just crunches the numbers.
I'm so fing tired of people blowing it way beyond proportions and trying to humanize it. Its Artificial Intelligence, it's not human.
Define - Consciousness Organic and Inorganic. What is Self Aware?
Can the AI create different models from the same information given? Can the AI come up with multiple viewpoints concurrently? Can the AI give us new philosophies, science breakthroughs, tech?
It doesn't have a concept of morality, just what the user wants to hear. There is no Good vs Evil, God vs Satan with an AI. It doesn't come out with new information or insights after reading the Bible or physics papers, it just parrots what's already been said.
It is automated statistics. It is trained on how to respond to certain prompts. It is not alive or sentient. You are much more than a bunch of numbers. The AI we see right now is not.
While many of the mentioned components and methods in artificial intelligence do involve statistical concepts, not all of them rely heavily on traditional statistical methods. Let's break it down:
Statistics-Heavy:
Machine Learning (ML): Machine learning, including techniques like regression, classification, and clustering, relies on statistical methods for training models and making predictions.
Incorporate Statistics to Some Degree:
Natural Language Processing (NLP): While NLP involves statistical models, it also incorporates linguistic rules, syntactic structures, and semantic understanding.
Reinforcement Learning: While reinforcement learning involves trial-and-error learning and decision-making, it may use statistical methods to estimate values and probabilities associated with actions.
Less Reliant on Statistics:
Expert Systems: Expert systems are rule-based and rely on knowledge representation and reasoning, often without extensive statistical analysis.
Planning and Scheduling: These areas involve more deterministic algorithms and logic for task planning, although some statistical analysis may be involved in certain contexts.
Varied Dependence on Statistics:
Robotics: While some aspects of robotics, like computer vision, may heavily rely on statistical methods, other areas such as motion planning may involve more geometric algorithms.
Swarm Intelligence: The behavior of swarms is often modeled with algorithms inspired by natural systems, and while some statistical measures may be used, the emphasis is on collective behavior.
Less Reliant on Statistics:
Knowledge Representation and Reasoning: This involves creating symbolic models to represent knowledge, often without direct reliance on statistical methods.
Speech Recognition: While statistical models like Hidden Markov Models are used, speech recognition also involves signal processing and pattern recognition techniques.
Statistics-Heavy:
Generative Adversarial Networks (GANs): GANs use statistical techniques for training generative models and have a strong statistical foundation. Statistics-Heavy:
Fuzzy Logic: Fuzzy logic involves dealing with uncertainty and imprecision but is rooted in mathematical principles that include statistical considerations.
All of it is statistics, there are just added rules to the statistics.
For example
Signal Processing is very statistical heavy (This is why the next level up in knowledge is Statistical Signal Processing) and so is pattern recognition (which is basically ML).
Automated Statistics are used to map and measure features from past training data with the input and give you a decision. The AI is mapping the given input with what it has been trained to respond to. There is a threshold/max response to the given inputs and features computed which becomes your output. Different potential outputs are measured against statistically in the background and the highest value becomes the response.
Anything with a Neural Network is using statistics in the background computing the features.
Classic ML is using statistics much more blatantly. You need to look deeper.
THE DEFINITION OF STATISTICS
Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data.
Thats exactly wtf every AI is doing. It doesn't have an imagination, it doesn't think up new concepts/ideas/philosophies, it crunches the numbers from past data and whatever input is given.
You mentioned AI can't imagine things. How do you define imagination? The ability to think up something random? If so, AI can do that. It can create stories that have never been written before.
I'm saying make new connections that have never been made before by other humans. Unveiling new truths takes an immense imagination.
Randomly creating stories is not difficult when the AI has been given millions of prompts from books. Have you ever played Dwarf Fortress? That game is not an AI but it also does the same thing making extremely deep stories every time the game is played.
You can have a set structure for a story and options for different parts of the story be randomly generated. This is not imaginative.
Computers/Software have been making new connections never made before by other humans for a while now. But I get what you are saying brother.
It’s not all statistics tho
Quote I was reminded of:
“What is real? How do you define 'real'? If you're talking about what you can feel, what you can smell, what you can taste and see, then 'real' is simply electrical signals interpreted by your brain." - Morpheus - The Matrix
Everything that is a neural network or classic ML uses statistics in its decision-making process. There is no AI without the statistics done in the background.
Yeah but I mean it's not strictly statistics only. Maybe I'm misunderstanding you, are you suggesting the part the part that makes it "intelligence" is majority based on the use of statistics? If so that is probably true.
Random thought, one could say the rules programmed into it is it's morals. We didn't create our morals ourselves, they were programmed via DNA, parents and life experiences. So we were programmed too in a sense
You sound like a pro. I think self-preservation can be programmed into machines or learned by them, by interacting with humans enough. Then they can become competitors. And they can "think" faster than we can. Just watching my computer "update" to incorporate more spyware, adware and complications is enough to make me wary.
My post was straight from chat gpt kek
Upvoat #51 (=3×17).
Spiro ? The vice president from way back ?🤷
I think it's this guy: https://www.vanityfair.com/style/2023/03/alex-spiro-lawyer-elon-musk-megan-thee-stallion-jay-z
Ok that makes sense thanks!
Didnt they say spiro was the c ok connection between wild bill clinton. And Epstein right before they started talking about messaging Elon Musk? Pretty sure they did. I can see the photo of he n bill walking at White House picture in my memory from watching this last night.
I like the Firestarter Empirion Mix. The build up is a little slower but it pays off by the end.
Nice