AI coined some 70 years ago, then Arthur C. Clarke who was a decent and balanced futurists who got many of his predictions right. Can computers think? well, just like Turings reply, they think like a machine or computer, consciousness is beyond computable physics as Roger Penrose states. Until the architecture changes form Von Neumann, deterministic, bottleneck and narrow bus process, it will never be like a human, for instance, how can a machine have hope? when a human faces a hopeless situation, we often times still have hope, how would an algorithm deal with an impossible hopeless situation and not enter a endless loop to emulate hope?
@@williamedwardhahn I think that adding more transistors or switching to higher and higher frequencies are not the answer, the power consumption is getting to be a real problem, the human brain requires around 20 watts scientists believe, also the bus width is to narrow, so massively parallel processing is required, I think analogue computation will be used soon, also bio systems; when leaf moulds, complete certain tasks far faster than digital computation and they have not a single neuron this shows this.
AI had to start somewhere, and slowly but surely has gotten to where we are today. The person at the beginning who mentioned how incredible computers are at manipulating matrices (computation) , but that such calculations were not relevant to thinking or intelligence. He'd probably be surprised that matrices are the basis for neural nets and the LLM's we are fawning over today. Where will we be 45 years from now? Right now AI still seems (to me) like a fancy parlor trick, but if we reach AGI in 5 years I won't be shocked.
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70s futurism will forever be the best there ever was.. love it.
Let’s bring it back!!
AI coined some 70 years ago, then Arthur C. Clarke who was a decent and balanced futurists who got many of his predictions right.
Can computers think? well, just like Turings reply, they think like a machine or computer, consciousness is beyond computable physics as Roger Penrose states.
Until the architecture changes form Von Neumann, deterministic, bottleneck and narrow bus process, it will never be like a human, for instance, how can a machine have hope? when a human faces a hopeless situation, we often times still have hope, how would an algorithm deal with an impossible hopeless situation and not enter a endless loop to emulate hope?
I agree, but do you think the GPU is starting to get away from the Von Neumann bottleneck?
@@williamedwardhahn I think that adding more transistors or switching to higher and higher frequencies are not the answer, the power consumption is getting to be a real problem, the human brain requires around 20 watts scientists believe, also the bus width is to narrow, so massively parallel processing is required, I think analogue computation will be used soon, also bio systems; when leaf moulds, complete certain tasks far faster than digital computation and they have not a single neuron this shows this.
@@Richard-gl7xu we definitely need to go back to the future with analog!! 🌱
@@Richard-gl7xu have you seen this one? m.ruclips.net/video/ZycidN_GYo0/видео.html
AI had to start somewhere, and slowly but surely has gotten to where we are today. The person at the beginning who mentioned how incredible computers are at manipulating matrices (computation) , but that such calculations were not relevant to thinking or intelligence. He'd probably be surprised that matrices are the basis for neural nets and the LLM's we are fawning over today. Where will we be 45 years from now? Right now AI still seems (to me) like a fancy parlor trick, but if we reach AGI in 5 years I won't be shocked.
Yeah, it’s amazing how much of the technology has been just sitting on the shelf waiting for it to get put together!