US patent office rules that artificial intelligence cannot be a legal inventor https://www.theverge.com/2020/4/29/...patent-trademark-office-intellectual-property
"When the history is written of The Great AI Riots of 2032, the precursor to the Silicon Valley Accords of 2035 when humanity formally turned over power to artificial intelligence, AI historians will point to a judgement from 2020 as the spark that lit the flame..."
Natural Stupidity and Artificial Intelligence are not one and the same. This is not a mathematical minus minus situation.
Natural stupidity leads to artificial intelligence. No +math needed. Those that are narcistic, sarcastic and bombastic are leading candidates.
I disagree with this. Artificial intelligence is intelligence gained by running machines created by intelligent people that analyse large quantities of data. Natural stupidity leads to bogus intelligence or fake intelligence as the kids say nowadays, which is what we see from this administration. I stand by my assertion.
Writing a neural net is actually a really fun beginner programming project. I maybe shouldn't admit this, but I have definitely gotten myself confused at times writing machine learning algorithms, probably because Im stupid thats generally the first place to look. Really though I agree I see AI as really just teaching a processor using large data sets how to deal with with data at run time, probably not a great explanation (yours was probably better).
AI is just making connections that are not easy to see because of the huge amount of data that needs to be processed. It seems like magic - because we can not easily explain the path to the conclusion that the machine got - but we can describe the layers. My college days were actually in computer science - not software engineering - which is really a mathematical field (with software engineering being applied computer science) - so, I tend to simplify thinking about software as thinking about algorithms - an algorithm is a set of steps that take us from one point to another, that's all it really is. We all know the simple ones, and software designers and computer science researches can dissect the classic algorithms for large amounts of data, but the size of the algorithm itself (the number of steps) is usually limited - as our minds just can not hold algorithms that take tens of thousands steps to get a conclusion. A machine - can, and at the end of the day - that's really what AI is (simplified form, of course).
Before I quit school I had 3 major's. History - was focusing on Roman era things - it occurred to me there are not a lot of jobs for a history nerd..., Computer Science -I loved it but was told oh no one needs more computer science people -, so I switched to English but didn't last long before I said screw it I like alcohol and women way more than I like school. My title at work is a software engineer, but I'm not sure what that really means. I basically code all day long, unless I'm in meetings talking about what they want to be developed... The only intensive AI project I've worked on is machine learning using intel camera's to identify parts on circuit boards. I'm oftentimes super jealous of people like you who have the formal education, and I really consider going back to school to get a degree, but I'm not sure at this point in my career if that would really help me or not. The math is probably my weakest area, took me like a month to get inverse kinematics / straight line/pathing to work on our robot because while I had done some linear algebra it wasn't enough...
Well, I am a software engineer / designer (whatever you want to call it) - Mostly responsible for the design of big financial projects. I have very little day to day use of my actual degree - but I think parts of it really helped to get me to think about large systems properly. Like most degrees - a lot of it is not applicable at all (My degree had a tons of physics and electrical engineering in it - which I really do not use at all) - and a lot of calculus related math which I almost never use. The computer science part I certainly use - and I use a lot of statistics - which surprisingly, I never actually took at college - so I completed it after my degree when it was obvious to me that it was very important for my 'craft'. My opinion is that a good degree just teaches you how to study and research - intelligent people can pick up any subject if they need to - even if their degree did not cover it (like I managed to do with statistics) - so the value of college really is helping you learn how to learn without a structured environment that public education gives you.
Not sure one needs a degree to know there is exponentially more that we/I dont know then there is that we/I do know. One of the things I love about software development is hardly a day goes where Im not learning something, picking up new tricks, learning better ways to do things... Thats just within the field I actually work in. There are so many subjects I know little about, kinda gets me excited thinking about how much learning there is and knowledge to gain, challenging myself to learn more is fun.
Not only do I agree, which is really saying something right there, but educators say the same thing. Your brain is like a muscle. The more you exercise it the stronger it gets. I've exercised my muscle so much that it's truly massive. Oh, people, people, not that muscle.
It baffles me when I find adults who have stopped trying to educate themselves. I get that many cant afford going to college, and that everyone has time restraints, but the internet has so many good places to learn new skills, or to help enhance skills you already have no one to me has an excuse to not be working out their brain and expanding on their knowledge. Edx is great, Udacity, Udemy (pretty hit and miss in terms of course quality), Coursera there are always cheap or free college level courses out there that are self-paced. MIT does a ton of free educational services too. I guess not everyone is wired the same and thats ok, but learning is a fundamental part of bettering yourself, your family, your community.
