- #1
Gear300
- 1,213
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What are the prospects of us having the technology sometime in the second-half of century?
I've had this question for some time since I've never tackled actual engineering, but I figured I would ask anyway. Technologists can sometimes sound overly optimistic about things. The likes of "machine learning" does not happen on people's laptops, especially since you can run matlab code which gets very slow once the row size grows larger than on the order of 10,000. The only commercial architectures I've heard that do feasible machine learning are distributed or cloud architectures in which the computing resources are scaled larger than the data involved. Past that, computers are not much smarter than their compilers, or their "grammar organ" (although it seems to be the case that their compilers are at least as competent as human grammar organs; even so, there is lots to language that grammar does not cover).
But can machines limited to their current grammar-memory-&c architectures really solve the riddle of identifying
as a credible stop sign? If not, autonomous fleet and metro would require significant infrastructure enforcing.
When viewed like this, we cannot decouple actual machine intelligence from the hardware or engineering. The reason I asked for autonomous cars is namely that if we do not have autonomous cars by, say, half-way through next century, then it kind of makes one wonder what went on in the meanwhile. If one's technology optimism were in navigation technologies and Earth-space stuff, then innovation in autonomous driving might somehow precede advances in aviation and rocketry (our current rocketry is inefficient from what I hear).
Technology optimism has been reasonable so far. Sure enough, we have not yet reached Mars, and ironically, oil alone would not have taken us to Mars anyway. But we instead unlocked the Pandora boxes of the gene and logic computing &c, which is no small feat. Any opinions?
Gear300
I've had this question for some time since I've never tackled actual engineering, but I figured I would ask anyway. Technologists can sometimes sound overly optimistic about things. The likes of "machine learning" does not happen on people's laptops, especially since you can run matlab code which gets very slow once the row size grows larger than on the order of 10,000. The only commercial architectures I've heard that do feasible machine learning are distributed or cloud architectures in which the computing resources are scaled larger than the data involved. Past that, computers are not much smarter than their compilers, or their "grammar organ" (although it seems to be the case that their compilers are at least as competent as human grammar organs; even so, there is lots to language that grammar does not cover).
But can machines limited to their current grammar-memory-&c architectures really solve the riddle of identifying
When viewed like this, we cannot decouple actual machine intelligence from the hardware or engineering. The reason I asked for autonomous cars is namely that if we do not have autonomous cars by, say, half-way through next century, then it kind of makes one wonder what went on in the meanwhile. If one's technology optimism were in navigation technologies and Earth-space stuff, then innovation in autonomous driving might somehow precede advances in aviation and rocketry (our current rocketry is inefficient from what I hear).
Technology optimism has been reasonable so far. Sure enough, we have not yet reached Mars, and ironically, oil alone would not have taken us to Mars anyway. But we instead unlocked the Pandora boxes of the gene and logic computing &c, which is no small feat. Any opinions?
Gear300
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