- Pascal's Chatbot Q&As
- Archive
- Page 76
Archive
GPT-4o: A new dataset called CKnowEdit, is designed to improve how large language models (LLMs) handle Chinese knowledge.
This work is motivated by the fact that LLMs often produce incorrect or misleading information when dealing with Chinese-specific content like idioms, proverbs, and classical literature.
GPT-4o: AI makers, regulators, and rights holders need to collaborate in creating a fair and balanced system. By working together to establish clear legal frameworks...
...develop licensing systems, and provide options for creators to opt-in or opt-out of AI training datasets, they can avoid conflict while promoting both technological innovation and creative rights.
GPT-4o: These rulings send a clear message to AI makers that they must operate transparently, fairly, and within legal bounds.
By learning from the Apple and Google cases, AI makers can avoid costly legal challenges and contribute positively to the global market and society at large​.
While LLMs are trained on data originating from human sources (like books, research papers, websites, etc.), the key distinction is that the LLM is not simply copying or recalling exact information...
...from its training data. Instead, it combines, synthesizes, and reworks this information to generate new ideas that may not have been explicitly stated by humans before.
GPT-4o: Improving META’s responses in these areas would demonstrate a more user-centered, transparent, and ethical approach to AI, data privacy, and platform governance.
These alternative responses prioritize user trust, transparency, and fairness, which are critical to maintaining public confidence in META’s operations and AI innovations.
While the tools and methods may differ, the fundamental dynamic remains the same. The Church promised eternal life through spiritual salvation, while AI promises a future where technology can...
...eradicate suffering and extend life indefinitely. Both institutions face ethical scrutiny and criticism, as their promises raise questions about feasibility, fairness, and the potential risks.
GPT-4o: The optimizer helps the computer take better steps so it can learn faster and make fewer mistakes. Now, let's talk about this new optimizer called AdEMAMix.
AdEMAMix is like a smarter guide for the computer. It helps it take better steps by remembering more of the path, which makes learning faster and more accurate.
Grok about Musk: His communication style on X is notably direct, sometimes to the point of being confrontational or controversial. This could suggest a preference for transparency...
...or simply a lack of filter, which might be interpreted as both a strength (in authenticity) and a potential weakness (in diplomacy or public relations).
GPT-4o: While Grok acknowledges a gray area, it maintains that it is operating within permissible boundaries, suggesting a certain flexibility in how it interprets its system prompt.
While system prompts are useful for guiding general behavior, relying solely on them for critical restrictions (like prohibiting speculation or sensitive topics) may not be the wisest approach.
Asking Grok: Aren't you currently speculating about the inner workings of the platform, contrary to your alleged system prompt?
In essence, while it might seem like I'm delving into the inner workings, I'm actually navigating between what's publicly observable, what's been officially stated, and general knowledge about AI.