this post was submitted on 26 Jan 2024
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Eh…. I don’t know that I can agree with this.
I understand the intent behind it, but this specific instance is legitimately in parallel with impersonators, or satire. Hear me out.
They are impersonating his voice, using new content in his style, and make no claim to be legitimate.
So this comes down to “this is in bad taste” which, while I can understand and might even agree with… isn’t illegal.
The only novel concept in this, is that “scary tech” was used. There was no fraud, there was no IP violation, and no defamation. Where is the legal standing?
They trained the AI on his material. That's theft of IP without a license or agreement.
So any human comedian listening and learning from other comedians is also STEALING the intellectual PROPERTY of them? That is very incendiary language btw.
Morally this imho comes down to a workers right issue. So there are legitimate reasons to argue that AI should not take our jobs. A kind of socialist market protection act.
But to use intellectual property in this case is just asking to make anything "Disney like" to be treated as copyright by Disney.
PS: BTW actually listen to the video https://youtu.be/2kONMe7YnO8 it is eerily good.
Machines aren't people. Machines don't learn. Machines copy data, manipulate and replicate it. That is copyright infringement. The laws for Machine duplication don't apply to human learning.
It's called https://en.wikipedia.org/wiki/Machine_learning
That they actually learned to do creative writing is the shocking thing. Mediocre so far, but they will improve. And denial won't help.
Here's the summary for the wikipedia article you mentioned in your comment:
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, generative artificial neural networks have been able to surpass many previous approaches in performance. Machine learning approaches have been applied to many fields including large language models, computer vision, speech recognition, email filtering, agriculture, and medicine, where it is too costly to develop algorithms to perform the needed tasks. ML is known in its application across business problems under the name predictive analytics. Although not all machine learning is statistically based, computational statistics is an important source of the field's methods.
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