Talk about “AI” in the press these days tends to conflate two things
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Talk about “AI” in the press these days tends to conflate two things
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Re: Talk about “AI” in the press these days tends to conflate two things
#2I agree with the main thrust of the article. However, I don't think this is a particularly new idea. AI has always been this vague, amorphous idea in people's minds. Whenever it becomes concrete progress it generally stops being called AI and gets given a more specific and useful name.
Re: Talk about “AI” in the press these days tends to conflate two things
#3I wish more people would use ML if it's ML instead of AI.
Re: Talk about “AI” in the press these days tends to conflate two things
#4I wish more people would use ML if it's ML instead of AI.
Isn’t Machine Learning even a bit of an exaggeration, though?
Re: Talk about “AI” in the press these days tends to conflate two things
#5I wish more people would use ML if it's ML instead of AI.
Isn’t Machine Learning even a bit of an exaggeration, though?
Why? The machine learns via essentially trial-and-error to produce a model that best fits the data provided to it. The hope is that the training data is representative of "unseen" data the model later encounters in order to be useful.
Seems pretty accurate given the broadness of the topic and variety of use cases.
Re: Talk about “AI” in the press these days tends to conflate two things
#6Earlier quoted context omitted.
Isn’t Machine Learning even a bit of an exaggeration, though?
Why? The machine learns via essentially trial-and-error to produce a model that best fits the data provided to it. The hope is that the training data is representative of "unseen" data the model later encounters in order to be useful. Seems pretty accurate given the broadness of the topic and variety of use cases.
Because it’s regression and statistical analysis.
Nothing special about ML except applying it to large(r) datasets, particularly in areas where it works well (various recommendation based models for example).
Re: Talk about “AI” in the press these days tends to conflate two things
#7Earlier quoted context omitted.
Isn’t Machine Learning even a bit of an exaggeration, though?
Why? The machine learns via essentially trial-and-error to produce a model that best fits the data provided to it. The hope is that the training data is representative of "unseen" data the model later encounters in order to be useful. Seems pretty accurate given the broadness of the topic and variety of use cases.
The question is: Is the machine learning, or is the machine intelligent.
The answer is its neither. But we've taken them to be useful analogies and loosely designated them to mean different things. Neither one really applies because in truth, the machine isn't learning. Because we've deemed some types of organs optimizers, others dynamic programing and others learning. It's all arbitrary.
Re: Talk about “AI” in the press these days tends to conflate two things
#8Earlier quoted context omitted.
Why? The machine learns via essentially trial-and-error to produce a model that best fits the data provided to it. The hope is that the training data is representative of "unseen" data the model later encounters in order to be useful. Seems pretty accurate given the broadness of the topic and variety of use cases.
Because it’s regression and statistical analysis. Nothing special about ML except applying it to large(r) datasets, particularly in areas where it works well (various recommendation based models for example).
How does this differ from you "learning" words of a foreign language?
Re: Talk about “AI” in the press these days tends to conflate two things
#9Earlier quoted context omitted.
Because it’s regression and statistical analysis. Nothing special about ML except applying it to large(r) datasets, particularly in areas where it works well (various recommendation based models for example).
How does this differ from you "learning" words of a foreign language?
Try to prove electronic computers/TPU works like an organic human.
Re: Talk about “AI” in the press these days tends to conflate two things
#10Earlier quoted context omitted.
How does this differ from you "learning" words of a foreign language?
Try to prove electronic computers/TPU works like an organic human.
Why does it have to? If you define “learning” as “being like an organic human”, then sure perhaps it isn’t “learning” under that definition, but that seems like a poor definition, and I don’t think it is how people use the word.
What does “learning” mean?