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Comment Crappy models. (Score 1) 100

I really can not blame 'AI" or some mythical 'but they can't feel!' here. The researchers put together crappy models, plain and simple... though that is one of the weaknesses of machine learning research in general.. this whole assumption that you don't need to actually understand the subject matter or put any thought into your model, just throw data and compute at it, then blame it. Kinda reminds me of the old cookie :

A hacker who studied ontology
Was famed for his sense of frivolity.
                When his program inferred
                That Clyde ISA Bird
He blamed -- not his code -- but zoology!

Comment Re:The latest pro-AI talking point... (Score 2) 104

Over the years I've brushed up my AI skills with various classes. One trend I've noticed that I find rather disappointing.. in the earlier classes, you generally started with essentially building a math library. You started with the linear algebra, you build some matrix operation functions, you chained them together, built your layers, and essentially had to construct your networks using, at most, numpy. Then classes started jumping right into tensorflow... I think last class i tried to take I gave up on because the first steps were how to set up copilot in vscode..

Comment Re:Will It Just Make Software Cheaper and More Acc (Score 1) 88

Though even odder, he seems to be saying that bad custom software is better than working solutions using existing tools. Spreadsheets might not be as sexy as a custom app that you can show your friends, but they are a pretty reliable and simple way of doing things. its like he wants the prestige of bespoke software to show off with, and doesn't care if it works or not.

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