- Pascal's Chatbot Q&As
- Archive
- Page 98
Archive
GPT-4o: Perplexity is described as an answer engine where responses are backed by sources, similar to academic papers. It combines traditional search with LLMs to generate well-cited answers​​.
Perplexity emphasizes reducing hallucinations by ensuring all statements are backed by multiple sources from the internet, maintaining a high standard of reliability and trustworthiness.
GPT-4o: I agree with the views expressed in the article "Indigenous data stewardship stands against extractivist AI" for several reasons. Dr. Gaertner's emphasis on ethical AI practices...
...informed by Indigenous principles of sovereignty and self-determination, offers a valuable framework for developing technologies that respect and protect vulnerable communities.
GPT-4o: AI development can expose engineers and programmers to broader aspects of the world, potentially enriching their understanding. However, this engagement is not automatic or guaranteed.
It requires deliberate effort and interdisciplinary collaboration to ensure AI technologies are developed with a comprehensive understanding of human complexities.
GPT-4o: Upholding ethics, regulatory compliance and human rights is not about holding on to the past but about smart, responsible, and sustainable innovation that ensures success and market relevance.
Claude: Ethical considerations, human rights, and thoughtful regulation are not relics of the past, but rather evolving frameworks that are crucial for sustainable future progress.
GPT-4o: Overall, choosing an AI vendor involves careful assessment of their expertise, alignment with your vision, data handling practices, privacy and security measures, integration capabilities,...
...compliance with laws, and transparency in their operations. One of the more intriguing points was the need for philosophical alignment between the vendor and the customer on AI usage.
GPT-4o: The webinar "Intelligent Management of Artificial Intelligence" by Morgan Lewis delves into the use and management of AI within organizations. Here's a simplified breakdown.
AI Policy, Data Privacy, Security, Mitigate Bias, Transparency and Accountability, Risk Assessments, Training, Improvement Frameworks, Testing / Auditing, Governance Policies, Regulatory Compliance.
GPT-4o: "Karger in Conversation - Mind Vs Machine: The Ethical and Legal Minefield of AI in Scholarly Communication" revolves around the integration of AI (LLMs), into scholarly communication.
Rushing to market without resolving key legal and technical issues can lead to significant problems down the line.
GPT-4o: The critique of AI’s entanglement with surveillance capitalism and the call for a shift towards more ethical, privacy-respecting technologies are well-founded...
...and resonate with broader concerns in the AI ethics community. Whittaker’s analysis is supported by significant evidence from historical trends, academic research, and real-world examples.
GPT-4o: The advancement of AI technology as seen in SoftBank's voice-altering AI, could lead to a future where individuals can choose to have others address them in a manner they find most comfortable
There is a risk of becoming overly dependent on artificial modifications, potentially impairing one's ability to handle real-world interactions and emotions effectively.
GPT-4o: Ensuring the safety and security of AGI, including making it impossible to jailbreak, is a highly complex and challenging task
The consequences of a jailbroken AGI in the hands of malicious actors could be catastrophic, impacting human life, political stability, economic security, and global safety.
GPT-4o: While the podcast's tone is harsh and overly critical of Sam Altman personally, the concerns about the direction of the tech industry and the importance of genuine innovation are valid.
GPT-4o: I find myself agreeing with several points raised in the podcast, particularly regarding the need for genuine innovation and sustainability in the tech industry.
GPT-4o: The critique in "AI is a Lie" raises important points about the current state of AI, the potential for misunderstanding due to marketing hype, and the limitations of current technologies.
A balanced view that recognizes both the achievements and the limitations of AI will help in setting realistic expectations and making informed decisions about its use and regulation.