- Pascal's Chatbot Q&As
- Archive
- Page 60
Archive
Copilot: The paper proposes three methods to generate thermal images of human faces from visible images, using deep learning models called generative adversarial networks (GANs) and diffusion models
Thermal images are useful for emotion recognition, biometric identification and medical diagnosis, because they can capture physiological signals that are invisible to the human eye or normal cameras
Asking AI: List all consequences of Copyright and Data Privacy no longer existing as of tomorrow, as a result of Artificial Intelligence implementations
Claude: These changes would fundamentally alter power structures across corporations, governments, and civil society. There would likely be destabilizing effects from the lack of guardrails
Bard: Neuralinked A(G)I, a hypothetical future technology that would directly interface with the human brain, raises the possibility of significantly altering our experience of the unknown
Bard: If we gain near-complete knowledge of the universe and our place within it, some argue that it could lead to an existential crisis, as we are confronted with the limitations of our existence
GPT-4: Regulators need to establish clear guidelines and frameworks to ensure accountability in the development and deployment of LLMs, preventing the use of computers as a "scapegoat"
The paper suggests that existing regulations like the EU Artificial Intelligence Act, which categorizes AI risks, are insufficient for LLMs
GPT-4: The paper "AI in Finance: A Comprehensive Review Through Bibliometric and Content Analysis" offers a thorough analysis of the advancements of AI in the finance sector over the past two decades
Intelligent credit scoring models, extracting investor sentiment from social media, advantage for algorithmic traders over human traders, deep networks & forex rates, humans dominate crypto markets
GPT-4: Nikki Pope's insights in the interview on legal compliance, intellectual property (IP), and ethics in the context of AI provide a well-informed perspective that is valuable for AI makers
GPT-4: AI makers would benefit from incorporating her insights into their development and operational strategies to ensure legal compliance, uphold ethical standards, and minimize potential harm
GPT-4: China’s regulation highlights the need for AI makers to clearly understand and define their role – whether as foundation model developers, fine-tuners, or deployers
Clear definitions and understandings of these roles are crucial for compliance with regulations that may assign specific responsibilities and liabilities to different entities in the AI value chain
GPT-4: While the discovery of discrepancies by an AGI could potentially lead to positive reforms and greater accountability, it could also trigger a range of negative consequences...
...including erosion of trust, political and economic instability, and societal unrest. The overall impact would depend on the nature of the discrepancies
Asking AI: What is the best strategy for content creators and rights owners who are upset about the fact that AI makers may have used their content for AI training purposes without asking permission?
GPT-4: In many cases, seeking compensation could be seen as the more pragmatic approach. Claude: I would lean towards negotiating licensing payments rather than demanding AI systems retrain