- Pascal's Chatbot Q&As
- Archive
- Page 3
Archive
GPT-4o: No matter how big you make an AI model or how much data you give it, there's a limit to how good it can get, and we're not entirely sure why this happens yet.
This means that industries requiring high accuracy, like healthcare, autonomous driving, or legal sectors, need to understand that AI won't become perfectly accurate.
Mollick highlights key issues in the performance of OpenAI's "Strawberry" (o1-preview) that are unlikely to be resolved soon. Below are the problematic issues & their potential long-term consequences.
Without such improvements, AI systems like Strawberry may reach a performance ceiling, unable to fully integrate into domains that require trust, adaptability, and nuanced reasoning.
The jailbreak seems to expose a way of forcing the AI to engage with restricted content by using "leetspeak" (altered text), which may have been designed to bypass certain filters or monitoring tools.
The second post expresses anger at being locked out of the O1 models, implying a possible temporary or permanent suspension after engaging with the jailbreak or illicit content generation.
GPT-4o: I agree with the author’s nuanced and practical approach to using AI as a supportive tool in peer review, rather than a disruptive force.
The goal should be to leverage AI’s strengths to complement human expertise, without compromising the integrity of the peer review process or overloading reviewers with additional tasks.
GPT-4o: Yes, people can end up acting, talking, and writing like "drones" due to several factors. The combined effect of AI systems funneling similar information to large groups of people...
...encouraging a lack of independent thought, and being used by commercial entities to influence behavior creates a significant risk of people behaving more like "drones."
GPT-o1 about itself vs 4o: I can remember and reference earlier parts of our conversation more effectively. I can better recognize and respond appropriately to the emotional tone of your messages.
To avoid conflating the term "reasoning" as used for humans with the processes performed by AI language models like myself, you might use alternative terms such as: Pattern Recognition...
GPT-4o: Both the article and the letter emphasize the concern that generative AI features are misappropriating content without fair compensation...
...and could potentially violate antitrust laws by stifling competition and harming content creators. Yes, I agree with the lawmakers' concerns for several reasons...
GPT-4o: Libraries worldwide are beginning to integrate AI into their systems. Over 60% of respondents in the survey are either evaluating or planning to use AI in their operations.
AI is seen as a key technology priority, with 43% of respondents identifying AI-powered tools for users as their top priority for the coming year​.
GPT-4o: AI makers should grant auditors access to the data and models used in the AI system. AI makers need to provide detailed documentation of the AI system's components, including data sources.
This is critical for evaluating the system’s biases, risks, and performance. Without this, audits can only be partial and may miss key issues.
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.