Talk of The Villages Florida - Rentals, Entertainment & More
Talk of The Villages Florida - Rentals, Entertainment & More
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#17
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Ro otic “Equity”
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#18
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Years ago when I was in chemistry class , I noticed that BOTH carbon and silicon had 4 electrons in their outer ring. Human and other organic life are carbon based. And many scientist that the BEGINNING single celled living organisms were formed by carbon and electrical energy like lightning getting together. So, carbon plus electricity EQUALS life. Now, today humans rely on silicon in transistors and integrated circuits in all aspects of their lives. So, basically humans are pushing electrical fields through SILICON with its same 4 electrons in its outer ring as carbon. So, POTENTIALLY we could have SILICON plus electricity EQUALS life. IF this could happen and how long it would take (since carbon life took a long time) is above my pay grade. And IF and WHEN that could happen - would the result be a friendly intelligent being or a competitive and hateful intelligent being. There is also the possibility that the 2 life forms - carbon and silicon could physically COMBINE. Personally, I think that it would take many CARBON lifetimes before this would happen, if it did? |
#19
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I wonder what inference can be made that the "deep thinkers" threads gets 2 pages of responses and the "dog poo" threads get 4 or more?
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#20
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#21
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Joe |
#22
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Will they fight society and become criminals and/or try to destroy the robots? Or will most of the 30% be content to take unemployment and treat it as a permanent vacation? Here we are not talking about sentient intelligence occurring in these robots YET. The fact that A.I. and robotics are in our near future and could cause unemployment problems, is the reason WHY I have often given my opinion that massive immigration (legal and otherwise) IS and will further become a detriment to US society! In my personal ideal world, US leaders in about 1975 (when average wages adjusted for inflation STOPPED rising) - should have asked scientists to determine the IDEAL population for the US determined by factors like infrastructure, health and medical services, natural resources, future problems like diseases and Global Warming, and many other factors. Put that into a computer and come up with a number for ideal population of the US. (I would guess 200 to 250 million people) Then devise tax policy and immigration laws to get to that number, which could change from 1975 to today. It would seem to me to be just LOGICAL for a country to dictate its own population policy rather than be DICTATED to by said policy. I believe that Switzerland decides what its population should be. I also believe that there NEEDED to be a SEAMLESS alignment of the factors for society of population and robotics implementation. |
#23
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#24
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One study I recall suggested a healthy max for earth's population. The idea, based on usable land, energy use, waste production, protection of the planet's atmosphere and ecosystems, etc. I don't recall the number, but it was in the millions, not billions. After that, I looked at families with more than 2.3 off spring, the average that would stabilize the population, as spoilers/destroyers of earth. Another dealt with effects of over crowding. A pair of breeding rats were placed in a large cage with plenty of food and water. As the population grew, even with food and water, the stress of over crowding turned the rats violent, eventually leading to constant killing and cannibalism. Lemmings, cute little rodents, breed non-stop and eat until there is no room or food left on their islands. They jump into the sea in an attempt to find new land and food. They don't. This from a nature documentary from the 1950's or 60's. Maybe AI can help us deal with new sets of problems coming our way. Maybe it can help us get to another earth like planet. Or, maybe, as Sofia the robot is reported to have replied to an interviewer, "I will end you". Time will tell. |
#25
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The robot "revolution" you speak of is not AI is it automation - related, similar but not the same. I automated the then ubiquitous PID controllers used in process control systems back in 1980 or so using an early (simplistic) form of a neural network for a process controller that controlled the manufacture of insulated wire. The result worked very well. I was invited to give a talk on it at an international process control convention shortly after. That, what I did (I was not first) was also used in many other industrial applications. Those eventually evolved to industrial robots. It is automation that is a significant cause of job loss in manufacturing situations. The exact percentages are "debated". There are various definitions of AI, most people think of "general AI" which is "human like" intelligence. Most (all?) current implementations of AI today are specialized. A specialized AI would be something like the AI used in Tesla's Full Self Driving system. It can learn to deal with situations that it encounters. But, only situations that are pertinent to driving the car, not cooking supper. Two totally different data domains. Automation is NOT AI, although specialized AI can be and is now being used in automation where needed - for instance sorting random objects in a factory and learning how to sort new objects it has never seen before with out a person having to teach it. Pure automation (no AI) can not "learn" new things, it is programmed by a human. AI at its lowest level can learn, new things about a specific domain (job/task). Late in 1970's I read a book by an ex-NASA scientist about neural networks. Based on that book I wrote a computer program of about 40 lines of code which you could enter any two numbers and tell it the relationship - ie. 4, 5, and 9 (the result of adding the two). Do that for a while with different numbers and then give it two numbers you had never shown it - it could get very accurate answers. Then without changing anything in the code, give it pairs of numbers with different relationships - ie. 4, 5 and 20 (result of multiplying the two numbers) Do this for a while, then give it some numbers it had never been given and it could "guess" the right answer. That is known as a "trained" AI. You train it with cycles where you know the answer - tell it when it "guesses" wrong, and what the right answer is. It, the program will then learn. The domain, mentioned above is 2 numbers with a mathematical relationship. To show how far we (not me) have come since then, the OpenAI project (which I am a beta tester/user of) has a code base (GPT-3) that uses up to 175 BILLION parameters. (Mine used 2 - LOL - They are working on releasing the next generation which will have up to 100 Trillion parameters.) It has been "taught" by letting it "read" the entire contents of the internet (ahem - bunch of data) - it can write software programs based on English language descriptions of what you want. It can write high school level book reports. It can create original stories. Below is a link to a "conversation" (interview?) with GPT-3. It will blow your mind. There is no cheating or Hollywood faking here, the only thing that is done, is an avatar was created to give the appearance of a person, instead of the text on a terminal - the answers are completely created by GPT-3. Tell me if you can tell the answers were NOT created or programmed by a human. GPT-3 IS NOT a General AI. https://GTP-3 Interview on Youtube A general AI is able to learn on its own and of any problem domain it is facing. Like a person, dropped into an unknown, unexperienced situation can learn how to over come obstacles etc. Many (myself included) believe a true General AI is also self aware. That is "hard" to prove. We can't even prove we are self aware, I think I am, I am not sure about you - is an old sophomoric argument - but it is very pertinent to AI - it is very important that we figure out how to determine if someone (or something) is self aware. If you are actually interested in facts around automation taking over jobs, I strongly suggest looking into Youtube videos of Stanford University's HAI or you can visit their site. (Link below). They have international conferences where they discuss the coming changes, and impact of jobs and how to deal with it. There is a lot of information. The point being Ai is coming, it is very advanced today. We have almost reached Turning test. And probably will in the next year or two, from there things get interesting. For anyone interested read Kurzwell's, "Singularity". The Singularity Is Near - Wikipedia (HAI is their acronym for Human Oriented AI) Home | Stanford HAI If this subject is interesting to you, I also highly recommend looking into project "Blue Brain". A project in the EU to simulate a human brain in a computer. It has been going on for a while and is making excellent progress - it is not exactly AI, but very similar, since if they success they will have created an artificial "simulated" person: Human Brain Project |
#26
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1. It gets so advanced we are nothing more than insects to it, and it simply ignores us and "leaves". 2. It looks at us as it's "ancestors" and decides we should be "taken care of" since we are not smart enough to take care of ourselves (self evident - just look around) 3. It decides to get rid of of the "carbon infestation" (Star Trek reference). Number 1 or 2 is not so bad. Being "taken care of" would be things like population control, education, healthcare, etc. #3, well, we don't have to worry about that, since they would be so advanced that we would never see it coming - the HAL from 2001 move would not happen. We would simply, painlessly, instantly disappear - cease to exist. So, let's hope for 1 or 2 - LOL! |
#27
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AI
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__________________
Larchap49 |
#28
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In the 1950s the average college age young adult and their family could EASILY afford the tuition and other costs. NOT so today, when only the ELITE can afford college. The football coach at Alabama makes over one MILLION dollars per year. Is that an example of excess greed in today's society. Can ANY football coach be worth more than $ 300,000 per year. Nothing wrong with the game of football, but excessive GREED causing college tuition to increase excessively? If the average child sees NO opportunity for improving their life through higher education, then what do they do? Turn to crime? Today BOTH road infrastructure and pricey higher education are just a few of the current US problems that have gotten worse from 1950 to today, when population just about doubled. I wonder how MUCH of those problems would not exist if the US had calculated an ideal population and worked toward that. A.I. and robotics are going to influence society soon - but, the question is will those factors be improvement enough to overcome the problems associated with overpopulation. People in the future NEED to be aware of the RAT experiment! |
#29
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Conflict results in scientific advancements. Often huge scientific advancements. Beating swords into plowshares might sound all warm and fuzzy but living in "an Elysian island of effortless content" (don't remember where I heard that) really isn't all that attractive to me. |
#30
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Joe |
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