131–134 of 134 posts
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Would you describe AI as: automatic categorization and decision making? If so, then Machine Learning is a part of modeling AI. Regardless of how they are taught in terms of University lectures.
I'd describe AI/ML as statistics by another name.
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Yeah, and around 800 people a day die in auto accidents in the US. Bringing up cars bolsters my point, which is that "we rely on the brain without understanding it and that works out fine" is not a good argument. So let's be careful. I'm mystified as to why that seems to be controversial.
Are you saying that we should require 2 drivers per car? It seems like at the moment the risk/reward ratio of allowing people to drive a car after getting a license seems to work out well enough. 1 death per 100 million miles driven, and falling.
> that "we rely on the brain without understanding it and that works out fine" is not a good argument.
It wasn't my idea to bring cars into it particularly.
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A small bone of contention: it’s not about Moore’s law per se, which has been ‘dead’ since about 2013, coincidentally when the deep learning revival started. It’s matrix multiplication ASIC development that is driving the progress. GPUs already existed when the idea to use them to make the feasible size of neural nets larger came about. For a long time the drive for the increase of GPU compute power was still gaming/…
I'm not saying that neural nets are brute force. I'm saying that there haven't been any algorithmic improvements in neural nets to make them more computationally feasible than they were when they were first invented. Instead, we have specialized hardware which can just do the necessary computation quickly enough to make neural nets feasible. It's not like neural nets are a new technology. They've been known since the…
And you literally described it as a brute force approach in your comment.