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No, it was made for a movie, like Fix-It-Felix Jr and Hero’s Duty. It’s funny that Disney paid to build a real Fix-It-Felix Jr arcade machine… and it’s now worth $30 million.
As if we haven’t had enough crazy movies, so these pioneer kids with their love of electronics (which isn’t so bad and well deserves credit for its creation) is another crazy thing. So Disney’s Fix-It-Felix Jr is coming out next year – and yes, he’s got his own movie. In fact, he unfortunately has one and has just been released.
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Aggiunto: Dato: 01.05.2020Exclusive Interview: Part 1 of Six – Ray Kurzweil
This is Part 1 of a series of interviews I have conducted with futurist Ray Kurzweil. The first interview came from his answers to questions I sent to him about the crossover between artificial and human intelligence. He made some great points and I have included the answer in both parts of the interview.
In part 2 of this series, I will be conducting a comprehensive interview with Ray Kurzweil about the future of AI. I will go over some of the responses in part one and he has been a sounding board for some of my future developments in AI research. Stay tuned!
On AI & AGI
Ray Kurzweil:First, I want to clarify some common misconceptions about the relationships between machine intelligence, human intelligence, and artificial intelligence.
There is a theory called the “strong AI thesis,” which is that as artificial intelligence and machine intelligence increase, there will be a point where the level of intelligence of a machine will approximate the level of human intelligence. In other words, machine intelligence is not going to keep increasing indefinitely, but eventually there will come a point where it is directly analogous to human intelligence.
I think that in the next two decades or so, the amount of progress in machine intelligence will dwarf the progress that has occurred since then, which is why I think that when it comes to human intelligence and machine intelligence, the human intelligence has a lot more room for improvement in the next two decades than the machine intelligence does.
But we have to be a little careful about that because as we get more powerful computers, then machine intelligence will be able to do things that humans can’t possibly do. And there are things that we haven’t even thought of yet, there are things that we don’t understand well enough to program.
Are we at the stage where we can now make a convincing argument that we know a solution to the “AI Doom” narrative? I want to say “no,” but could you define a couple of criteria that we are currently missing?
Certainly we are not at that point. Some people might say there are gaps in our understanding of the theory of computation, there are gaps in our understanding of concepts such as fuzzy logic, there are gaps in our understanding of neural nets.
We can make some progress
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