New things to argue about. Lets create and register AI images of celebrities and then we can license them back.
Metaphysic CEO Tom Graham Becomes First Person to File for Copyright Registration of AI Likeness Creating New Digital Property Rights
Tom Graham, CEO of generative AI pioneer Metaphysic, has made history today as the first person to submit for copyright registration his AI likeness with the U.S. Copyright Office. As the industry leader in creating hyperreal content powered by generative AI, Metaphysic champions individual ownership and control of their AI likenesses and biometric data. By leveraging legal institutions and existing law and regulation, Graham, through this submission, demonstrates the increasingly fine line between reality and computer-generated media as he and Metaphysic seek to create, for the first time, a new bundle of intellectual property rights that must be available to any individual in the future.
What field of study has not yet attracted a ‘small’ LLM? Let’s get there first!
Meet BloombergGPT: A Large Language Model With 50 Billion Parameters That Has Been Trained on a Variety of Financial Data
... Recently, models trained using solely domain-specific data outperformed general-purpose LLMs on tasks inside particular disciplines, such as science and medicine, despite being substantially smaller. These results encourage the further creation of domain-specific models. NLP technologies play an increasingly significant role in the vast and expanding field of financial technology. Sentiment analysis, named entity identification, news categorization, and question-answering are a few of the financial NLP tasks. A domain-specific system is necessary because of the complexity and language of the economic domain, even if the range of functions is similar to those found in standard NLP benchmarks. It would be beneficial to have an LLM focused on the financial domain for all the reasons generative LLMs are appealing in general few-shot learning, text creation, conversational systems, etc.
Perspective.
https://www.bespacific.com/the-ethics-of-chatgpt-a-legal-writing-and-ethics-professors-perspective/
The Ethics of ChatGPT: A Legal Writing and Ethics Professor’s Perspective
Romig, Jennifer Murphy, The Ethics of ChatGPT: A Legal Writing and Ethics Professor’s Perspective (February 18, 2023). Emory Legal Studies Research Paper , Available at SSRN: https://ssrn.com/abstract=4373550 or http://dx.doi.org/10.2139/ssrn.4373550
“Teaching law students requires meeting them where they are, envisioning what they can become, and offering appropriate education and advice for their developmental journey. ChatGPT is not a person, but this essay will to some extent personify ChatGPT in discussing how it might be developed before it is used for client work. ChatGPT and A.I. text generators don’t “learn”, but they can be programmed, prompted, and trained. Everyone realizes their potential to become pervasive and ubiquitous in the legal field and, indeed, in every field that relies on the production and exchange of words. But pervasive and ubiquitous does not necessarily mean ethical or effective. So far in using ChatGPT, I have seen a broad range of embarrassingly wrong output and really promising output. My comments here are offered in the spirit of what I’d like to see from ChatGPT.”
Resource.
https://www.bespacific.com/nist-trustworthy-responsible-artificial-intelligence-resource-center/
NIST Trustworthy & Responsible Artificial Intelligence Resource Center
“Welcome to the NIST Trustworthy & Responsible Artificial Intelligence Resource Center (AIRC). The AIRC supports all AI actors in the development and deployment of trustworthy and responsible AI technologies. AIRC supports and operationalizes the NIST AI Risk Management Framework (AI RMF 1.0) and accompanying Playbook and will grow with enhancements to enable an interactive, role-based experience providing access to a wide-range of relevant AI resources.”
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