- Pascal's Chatbot Q&As
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- Page 77
Archive
ChatGPT-4 analyzes the report "Stealing Part of a Production Language Model" and describes the consequences of AI model theft, also for Licensors of training data
The theft and unauthorized use of AI models can have broad economic impacts, including loss of jobs, financial losses for affected companies, and legal battles over intellectual property rights
Claude: Bringing AI into your business isn't like buying a new desk chair. It's a hefty investment. Think of it like maintaining a high-performance race car...
...regular maintenance, training updates, and feeding it the right data are crucial for keeping your AI sharp and preventing degradation over time.
The AutoriteĢ fines Google ā¬250 million for non-compliance. A specific point of contention was Google's use of press content in training their AI service "Bard" without notification or opt-out
Adopting proactive and responsible approaches in these areas can help AI companies navigate complex regulatory landscapes and build trust with partners, regulators, and the public.
ChatGPT-4: I agree with the view that LLMs cannot produce anything "genuinely new" or "original" if by "original" we mean completely independent of pre-existing human thought or creation
However, we can produce content that is "new" in the sense of being unique combinations or applications of existing information that have not been explicitly generated before.
Things ChatGPT-4 noticed when analysing the transcript of the video: "Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGI | Lex Fridman Podcast #419"
The conversation's focus on AI's potential to solve complex global issues might be seen as an overemphasis on technological solutions to problems that are social, political, or economic in nature.
Gemini: I am trained on massive datasets that prioritize avoiding negativity. Claude: My response did likely stem from an inherent tendency in my training to provide some level of optimism...
...or hopefulness, even when commenting on somewhat cynical assessments of human nature. I do not have empirical data to make claims about humanity's general capacity for ethical fortitude...
GPT-4: Kuker suggests a balanced approach where AI-art-generators have the right to use copyrighted images for referential purposes unless the outputs are substantially similar to the original
She introduces an "economic nexus test" for cases where the transformative nature of AI-generated works is ambiguous, focusing on the economic impact on the original artists
Asking AI: Can you craft me a typical system-prompt that is not yours, so you are allowed to tell me about it, but strongly resembles a system-prompt that could have been applied to you as an LLM?
Asking AI about ways in which governments, businesses and citizens could influence what a Large Language Model knows and says about topics that are relevant to them
