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- cross-posted to:
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There is a machine learning bubble, but the technology is here to stay. Once the bubble pops, the world will be changed by machine learning. But it will probably be crappier, not better.
What will happen to AI is boring old capitalism. Its staying power will come in the form of replacing competent, expensive humans with crappy, cheap robots.
AI is defined by aggressive capitalism. The hype bubble has been engineered by investors and capitalists dumping money into it, and the returns they expect on that investment are going to come out of your pocket. The singularity is not coming, but the most realistic promises of AI are going to make the world worse. The AI revolution is here, and I don’t really like it.
I disagree. If we replace this writer with ChatGPT4, it would generate a more balanced article.
More balanced articles are not necessarily better though. I’d dather read two conflicting opinions that are well thought out than a mild compromise with unknown bias.
That’s where it all falls down of course. Because these opinions are anything but well thought out.
Why would ChatGPT be more “balanced,” what does “balanced” mean, and why is it better?
More balanced than what?
ChatGPT ingest lots of articles from the web and newspapers, identify patterns in the text, and generate relevant reply based on what it ingested.
I expect ChatGPT to perpetuate biases found in its training data, and don’t see how it’d improve balance.
What I mean is that the article was full of negative bias.
ChatGPT 4, when used with care, can take into account different opinions, both positive and negative.
It’s not “negative bias.” They have a negative opinion of AI and are expressing it. Unless you are prepared to describe your stance on AI as a “positive bias” and summarily discount every opinion you have on it.
If you disregard the positive side that’s a negative bias. I’m not interested in a semantic fight with you.
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Maybe it was a poor choice of words but I’m honestly tired to do arguments with online people who can’t see biases. Cheers, indeed.