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You are looking at this from such as simplistic perspective. We are not at the limits of what machine learning can do, We are barely at the beginning. Tweenin

You are looking at this from such as simplistic perspective. We are not at the limits of what machine learning can do, We are barely at the beginning. Tweening or "make sound that can fool humans" is not what's important here it's the underlying "mechanics" that allow them to do these things which can be applied to so many other areas. What make humans extraordinary is that we can combine our various mechanical and intellektuel abilities to adapt to our surroundings. What we are witnessing is another "species" who can do this and is only at the beginning.

dragontamer 10y ago
I spent two years of my life writing an automated logic system for a professor. Trust me, I know what AI can and can't do. In my experience, when AI reaches the critical mass of usefulness, it becomes a tool within the industry. Automatic solving of logical puzzles? Yeah, electrical engineers use PSpice to optimally lay out logic gates in CPU Chips. Automated logic can be used to verify extremely complicated mathematical proofs, or even search for new mathematical truths! So what happens? Well... some company creates a product with the AI, then sells it as a tool. We exist in an age where AIs are responsible for searching and coalescing information. (Erm, how often do you use Google's database?) It wasn't very long ago when search was considered an AI problem... but as soon as computers successfully do it better than humans, its a "tool" and "not AI" anymore. The last 50 years of AI history has taught me one thing: when AIs are successful, humans change and stop thinking that the task was "intelligent". Chess as a measure of intelligence? No longer, once Chess AIs got good. Database search? No longer, now that Google is faster than humans. Automated driving? Was an AI task, now it isn't one. People are already discussing how its a tool for Truckers or Uber to use to make more money. ------------- "Intelligent tasks" become "tasks for tools" because thats how stuff sells on the market. You wouldn't believe what people thought was "intelligence" in the 80s. Chess, Databases Search / Natural Language Processing, automated logic, symbolic mathematical solvers, chip layouts, compiler optimizations... and everything that we just take for granted today. Similarly, the tasks we consider "intelligence" today will simply turn into tools for the next generation once the AIs are written that solve that problem.
- ThomPete 10y ago
  You are IMO making the same mistake Searle made in his "Chinese Room" argument. Your digestive system is a tool for you to get rid of garbage your system does not need, your neurons are tools for allowing you to ultimately think, your legs are tools for allowing you to move around. It's the entire system thats relevant here. Not any of the individual subparts. And we are not talking about what it can or can't do but it's potential. You brush this off as a humans will always find a way... which is what I am objecting to. Whether you spend 2 or 20 years writing automated logic systems for a professor is unimportant.

dragontamer 10y ago

I spent two years of my life writing an automated logic system for a professor. Trust me, I know what AI can and can't do. In my experience, when AI reaches the critical mass of usefulness, it becomes a tool within the industry. Automatic solving of logical puzzles? Yeah, electrical engineers use PSpice to optimally lay out logic gates in CPU Chips. Automated logic can be used to verify extremely complicated mathematical proofs, or even search for new mathematical truths! So what happens? Well... some company creates a product with the AI, then sells it as a tool. We exist in an age where AIs are responsible for searching and coalescing information. (Erm, how often do you use Google's database?) It wasn't very long ago when search was considered an AI problem... but as soon as computers successfully do it better than humans, its a "tool" and "not AI" anymore. The last 50 years of AI history has taught me one thing: when AIs are successful, humans change and stop thinking that the task was "intelligent". Chess as a measure of intelligence? No longer, once Chess AIs got good. Database search? No longer, now that Google is faster than humans. Automated driving? Was an AI task, now it isn't one. People are already discussing how its a tool for Truckers or Uber to use to make more money. ------------- "Intelligent tasks" become "tasks for tools" because thats how stuff sells on the market. You wouldn't believe what people thought was "intelligence" in the 80s. Chess, Databases Search / Natural Language Processing, automated logic, symbolic mathematical solvers, chip layouts, compiler optimizations... and everything that we just take for granted today. Similarly, the tasks we consider "intelligence" today will simply turn into tools for the next generation once the AIs are written that solve that problem.

ThomPete 10y ago
You are IMO making the same mistake Searle made in his "Chinese Room" argument. Your digestive system is a tool for you to get rid of garbage your system does not need, your neurons are tools for allowing you to ultimately think, your legs are tools for allowing you to move around. It's the entire system thats relevant here. Not any of the individual subparts. And we are not talking about what it can or can't do but it's potential. You brush this off as a humans will always find a way... which is what I am objecting to. Whether you spend 2 or 20 years writing automated logic systems for a professor is unimportant.