- Pascal's Chatbot Q&As
- Archive
- Page 120
Archive
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
ChatGPT-4: Overall, the authors present a compelling argument for the establishment of safe harbors to support independent AI evaluation and red teaming
Their proposal highlights a proactive approach to addressing the ethical, safety, and transparency challenges in AI development, which could lead to more trustworthy and reliable AI systems
"Digital disruptions can stem from a wide array of sources, many of which are more likely to occur in the near future than the catastrophic scenarios of massive solar flares or global-scale flooding"
GPT-4: The increasing reliance on technology and the exacerbating effects of climate change make it crucial to invest in preparedness and resilience measures
Claude: The Publishers Association does seem to have a legitimate point regarding the unauthorized use of copyrighted material by tech companies to train their AI models
Claude: Establishing clear guidelines and a licensing framework could help balance the interests of both parties while promoting the ethical and legal development of AI models.