Scientists used to think so-called “slow slip events” were “theoretically impossible.” Now these subtle tectonic shifts could be the key to predicting future earthquakes.
before anyone immediately smashes “downvote” and comes here arms raised, “AI” includes ML, as in models specifically trained for this, and models have been around for 20+ years. AI != LLMs
One of the insanely powerful uses of AI is just parsing large amounts of data and looking for patterns. However it still requires human oversight and may overlook patterns also. I think this is the problem with AI in general: The vast majority of people can’t be trusted to verify the results. Scientists are extremely thorough in general so that’s probably fine.
I had a family member arguing with me about a particular piece of law that I happened to be very familiar with. They are actually an attorney. And they flaunted that as if it made them right. The problem is they didn’t even actually review the law, they just typed it into chat GPT. So they were breaking the law based on advice from a chat bot.
I disagree with your assessment. Modern machine learning methods will result in a far more complex algorithm than any human could device on their own. It will be “cheap” to execute, but only because of the vast amount of data it’s been trained on. That’s the strength. The raw number of calculations it can do per second means it can sift through more data in a day than a human could in its lifetime.
The biggest danger is hidden local minimums that can potentially distort new results and findings. But that’s not unique to machine learning. And you can let the AI grade its result with how certain it is. Automatically flag any result that falls below a certain threshold. And again, this is where the danger of local minimum come in. Because it can raise the certainty of results when maybe it shouldn’t be so certain. Though you will find out quickly when results are false with high certainty. Then you go back and you keep working at it.
As of this particular topic of earthquakes. There are no traditional tools of accurately predicting them. We’ve never been able to do it before. Now they think this might be able to. So we will just have to wait and see if its predictions are accurate or not.
What is it you think we’re talking about? This isn’t some LLM. It’s a very specific purposebuilt piece of software to analyse data from earthquakes and recordable shifts in the tectonic plates.
Not relevant to the article which isn’t about LLMs… but it IS relevant to “this isn’t about LLMs, don’t downvote!” Which implicitly implies LLM discussion is intrinsically worth downvoting.
before anyone immediately smashes “downvote” and comes here arms raised, “AI” includes ML, as in models specifically trained for this, and models have been around for 20+ years. AI != LLMs
One of the insanely powerful uses of AI is just parsing large amounts of data and looking for patterns. However it still requires human oversight and may overlook patterns also. I think this is the problem with AI in general: The vast majority of people can’t be trusted to verify the results. Scientists are extremely thorough in general so that’s probably fine.
I had a family member arguing with me about a particular piece of law that I happened to be very familiar with. They are actually an attorney. And they flaunted that as if it made them right. The problem is they didn’t even actually review the law, they just typed it into chat GPT. So they were breaking the law based on advice from a chat bot.
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I disagree with your assessment. Modern machine learning methods will result in a far more complex algorithm than any human could device on their own. It will be “cheap” to execute, but only because of the vast amount of data it’s been trained on. That’s the strength. The raw number of calculations it can do per second means it can sift through more data in a day than a human could in its lifetime.
The biggest danger is hidden local minimums that can potentially distort new results and findings. But that’s not unique to machine learning. And you can let the AI grade its result with how certain it is. Automatically flag any result that falls below a certain threshold. And again, this is where the danger of local minimum come in. Because it can raise the certainty of results when maybe it shouldn’t be so certain. Though you will find out quickly when results are false with high certainty. Then you go back and you keep working at it.
As of this particular topic of earthquakes. There are no traditional tools of accurately predicting them. We’ve never been able to do it before. Now they think this might be able to. So we will just have to wait and see if its predictions are accurate or not.
deleted by creator
What is it you think we’re talking about? This isn’t some LLM. It’s a very specific purposebuilt piece of software to analyse data from earthquakes and recordable shifts in the tectonic plates.
Also, LLMs doesn’t equal generalist trained chatbots.
How is that relevant here?
Not relevant to the article which isn’t about LLMs… but it IS relevant to “this isn’t about LLMs, don’t downvote!” Which implicitly implies LLM discussion is intrinsically worth downvoting.