Living in a world that is steered by technology makes it possible today to witness new revolutions and innovations in various domains. Who would have thought that AI could author a book one day? Tap on this link to read more about the book: https://
bit.ly/3l0dbnJ
GENERATIVE AI
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AI Authors Book: New Revolution in Generative Technology
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Unusual developments in AI-Twitter following ChatGPT wave
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Están pasando cosas muy raras en el mundo AI-Twitter últimamente. Debe ser la onda expansiva tras ChatGPT
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Preparing Education for Student Discovery of ChatGPT
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¿Cuánto tardaran los alumnos en descubrir tecnologías como ChatGPT? Desde el sector educativo hay que prepararse antes de que sea demasiado tarde.
— Carlos Santana (@DotCSV) 5 février 2023
Los alumnos: https://t.co/CslT5ayZqEHow long will it take students to discover technologies like ChatGPT? From the educational sector, we must prepare before it's too late. The students:
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Getty lawsuit challenges: Stable Diffusion watermark hallucination analysis
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Getty is going to have a tough case… images from their lawsuit don't really have any similarities. The only problem that #StableDiffusion hallucinated a watermark from the noise, or maybe because it was prompted? https://
stableattribution.com/?image=1e3bdf0
2-8e7d-489c-828d-137f789c99f6
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AI Models Embed Copyrighted Character Expression as Infringement
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Some images are kinda similar to copyrighted works, but the underlying expression of the characters is always there. Thus it must also be in the model, and it's infringement beyond individual works.
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Generative Models as Expression Copying Machines in Copyright Context
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FWIW, the core of Mathew's argument can be dismantled in this case by the fact that generative models are expression copying machines. For instance, in the context of character copyrights:
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Generative Models: How They Copy Expressions and Compete with Authors
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The PDF you linked is fascinating! Only written three years ago but feels very dated already… With generative models you could argue the purpose is Expressive. The generative models copy the expressions and compete with the original author.
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Learning from Data and Generating: Self-Consistent Engineering Principles
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You're lost in limbo with these arguments. It's just learning from data and generating from what's learned. It's backed by self-consistent engineering principles.
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Copyright Resolution and Artist Control in AI-Generated Content
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(Assuming the copyright issue is fixed…) If people buy the results are OK with that, or if the artists know how to control or correct it, I don't see any problem.
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Illusion versus Delusion: Technology’s Useful Appeal
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Whether it's illusion or delusion is a matter of perspective. ***lusion is useful in many ways, as shown by the millions of people who have flocked to the technology. Don't let your history with copyright cloud your judgment.