They're arguing that it's not a decomposition of the original expressions, but patterns extracted from the non-copyrightable data that's there. Thus, the model is not derivative and outputs too. The copying is a triviality they hope is waived by Fair Use or equivalent exception.
ETHICS
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Legal argument for machine learning as expressive use
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I wonder if someone with sufficient knowledge of the technology and of Copyright could come up with a legal argument to show that ML is actually an expressive use?
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Model Performance Limited to Benchmarks, Real Version Unavailable
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The disclaimer is that its on benchmarks only and nobody has access to the real model yet…
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Machine Learning Training and Copyright Bypass Legal Arguments
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By saying "Machine Learning and training is a non-expressive use" that just uses the data, you basically try to bypass Copyright internationally. Of course, it's bullshit that high-priced lawyers make up to land Big Tech contracts — or get funding for their University.
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Non-expressive Use: Legal Workaround for Copyright Avoidance
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The legal buzzword to use is "non-expressive use" here! It's a workaround for Copyright. Here's how it works: Since Copyright only applies to expressions and not ideas/data, you use semantic & "ontological games with legal implications" to avoid Copyright.
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Large Language Models Generate Cumulative Ambiguities Not Certainties
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Humans have to generate a lot of words to try and explain the potential & challenges of large language #AI models https://
wsj.com/articles/chatg
pt-heralds-an-intellectual-revolution-enlightenment-artificial-intelligence-homo-technicus-technology-cognition-morality-philosophy-774331c6?mod=opinion_lead_pos5
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"Enlightenment science accumulated certainties; the new AI generates cumulative ambiguities" -
Validating Tech Solutions Through Lived Experience and Expertise
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"The surest cure for BS is exposing it to the scrutiny of people who truly, deeply understand a problem through years of lived experience." +100! Plus "the problem" isn't crypto or #ai but what those techs are trying to solve in that use case. Thx @EthanZ for a def recommend read
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AI Code Generation: Beyond Syntax Errors to Production Quality
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Rec'd read: "AI may turn out to be bttr at producing code than writing academic papers, as determining whether a program runs w/o syntax errors is far less subjective" https://
bit.ly/41vgF2C Beyond syntax: Is it prod-ready code fitting the use case? Was the generation legal? 1/2 -
AI Tool Empowers Youth Substance Use Decision Making
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3rd place: 20 Past 4
An Interactive tool that promotes and empowers the younger generation with the knowledge they need to make informed choices surrounding substance use in daily situations https://
devpost.com/software/20-pa
st-4
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OpenAI’s Contradictions: Nonprofit Claims vs Microsoft Subsidiary Reality
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I am with @emilymbender in smelling delusions of grandeur at OpenAI. And, all that stuff about them being a nonprofit for the public good, openly sharing their work? For now, they are more like a closed subsidiary to Microsoft, publishing few details of their methods.