- Pascal's Chatbot Q&As
- Archive
- Page 82
Archive
GPT-4: The paper details the development and optimization of strategies for training extremely large AI models effectively on one of the world's most powerful supercomputers
This advancement could facilitate more sustainable and accessible AI development, particularly for large-scale models that require substantial computational resources
About the 'Mango vs VEGAP' case. GPT-4: The court's interpretation of transformation may not align with the U.S. Fair Use doctrine's emphasis on adding new expression or meaning
GPT-4: From a strictly U.S. Fair Use perspective, the creation of an NFT from an existing artwork, without substantial alteration or addition of new expression, may not be considered transformative
GPT-4: There are several important topics that could enhance the scope and depth of the white paper "Navigating 2024: Unveiling Generative AI Trends in Finance and Private Equity"
Incorporating these topics would provide a more holistic view of the implications of AI and GenAI in the finance and private equity sectors, considering the broader societal implications
GPT-4: The current absence of prospective configuration in AI learning models, relying predominantly on backpropagation and other traditional learning methods, presents several limitations...
...that this new method could potentially address: Efficiency in Learning, Understanding Biological Learning, Learning in Dynamic and Complex Environments, Transfer and Multitask Learning...
MS Copilot analyzes the LLM and AI report from the House of Lords in the UK: "The recommendations made by the House of Lords could be considered by other countries..."
...as they are based on principles of responsible AI development and use. These principles include promoting innovation, ensuring fairness and privacy, managing risks, and respecting IP rights"
Asking AI: Do you see the paradox so far? Increased technical sophistication versus decreasing human understanding? What will society look like when these suggested solutions completely fail?
Hyper-advanced AI and autonomous systems rapidly accelerate, AI makes most major decisions, humans adopt tech readily, surveillance is pervasive, widening power asymmetry, "Truth" is obscured
Asking AI: If Big Tech was a child and global regulators were a parent, would you say the regulators are truly educating the child or only warning the child now and then or in fact spoiling the child?
ChatGPT-4: Global regulators are primarily "warning the child now and then." Copilot: Spoiling. Claude: Spoiling. Bard: I lean towards a cautious "warning"
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
