Hey everyone, it’s Dylan Curious, and in this video, we’re going to delve into the ongoing controversy surrounding comedian Sarah Silverman and some authors who have filed a class action lawsuit against tech giants OpenAI and Meta. The allegations against these companies claim that they used copyrighted material without permission, compensation, or credit to train their AI models.
It’s mind-boggling to think about it, but imagine asking OpenAI’s chatbot, GPT, to explain the ending of a copyrighted book, and it actually does. This has been presented as evidence that the book was part of the AI’s training set. However, the source of this information remains unclear. Did OpenAI and Meta obtain it from a shadow library, an online database that collects numerous books?
In response to these concerns, Sam Altman, the CEO of OpenAI, has acknowledged the need for new market mechanisms to ensure that creators can thrive in the AI era. One possible solution could be a pay-per-use AI model, where companies like OpenAI compensate authors whose works were used in training sets. Perhaps in the future, models like GPT will allocate subscription fees among the creators of the information they were trained on.
However, this raises more questions. What happens when other AI models are trained using the output of a model like GPT? How can the money trail be traced across different models? Can reinforcement learning models designed to identify copyrighted information help resolve this issue? And what if you ask GPT to summarize the entire Harry Potter series? Will your subscription fee be shared with J.K. Rowling and Warner Brothers?
The inappropriate use of AI in the legal system has also been making headlines. Lawyers employed AI to generate case law, which resulted in inaccuracies and a $5,000 penalty. This incident serves as a cautionary tale about the misuse of AI in legal proceedings, and it also prompts us to question the future role of AI in legal decision-making.
Many organizations, including Google’s DeepMind, OpenAI, and various academic institutions, have proposed the establishment of new international institutions to govern AI. These proposed bodies include a commission on AI frontiers, an AI governance organization, an AI collaborative, and an AI safety institution.
Another AI tool that has stirred controversy is Adobe’s AI image generator named Firefly. Trained on Adobe stock images, Firefly has upset creators who feel that they should be compensated for the use of their images. Adobe has promised to address this issue and find a suitable solution.
As deep fakes continue to rise, the Federal Election Commission is grappling with the question of who should regulate their use, particularly in political campaigns. This issue becomes even more complex when considering concerns regarding the violation of freedom of speech.
Now, let’s take a quick look at the timestamps and topics covered in this video:
00:00 – Sarah Silverman & Authors’ Lawsuit: Tremblay vs. OpenAI Explained
01:25 – A World with Pay-Per-Use AI? | Possible Outcomes of Silverman’s Suit
04:10 – Lawyer Who Used ChatGPT’s Hallucinated References
05:09 – How Might AI Impact Our Legal System? Future Role of GPT-Models
08:07 – Advanced AI Governance: International Institutions for Advanced AI
09:06 – Is Adobe’s Firefly AI Platform Stealing Artists’ Work? Unpacking the Controversy
10:10 – Why Isn’t the FEC Regulating Deepfakes? The Unclear Stance Explored
11:38 – Microdirectives: How AI Could Revolutionize Legal Compliance
13:18 – Are Musk, Tegmark, and Hinton Too Cautious on AI? You Decide
Now, if you’re interested in digging deeper, you can find the sources used for this video in the description below, as well as links to the Curious Future channel, Curious Podcast, and Curious Friends.
Remember to watch the full video on the Curious Future channel for a comprehensive discussion of these topics.
As a final note, I want to share some thoughts in the Editor Notes section.
Editor Notes:
Artificial intelligence has undoubtedly transformed multiple industries, and while it brings numerous benefits, it also presents complex challenges. The controversy surrounding OpenAI, Meta, Sarah Silverman, and the authors involved highlights the importance of addressing copyright concerns in the AI era.
It’s encouraging to see Sam Altman acknowledge the need for new market mechanisms that support and compensate creators while still driving AI advancements. By establishing international institutions for AI governance, such as those proposed by Google’s DeepMind and OpenAI, we can work towards a more regulated and responsible AI landscape.
The controversies surrounding Adobe’s Firefly AI platform and the regulation of deep fakes demonstrate the ongoing need to balance innovation with ethical considerations and the protection of creators’ rights.
Overall, the development and implementation of AI require careful consideration and collaboration among technology companies, industry experts, and regulatory bodies. By doing so, we can harness the full potential of AI while avoiding the pitfalls associated with its misuse.
For more AI news and updates, make sure to visit GPT News Room.
Now, let’s continue the conversation in the comments section, and don’t forget to subscribe and hit the notification bell to stay up to date with our future content.
Thanks for watching, and until next time!
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