- Pascal's Chatbot Q&As
- Archive
- Page 43
Archive
Asking ChatGPT-4 and MS Copilot: Are you indeed stupid? GPT-4: From a technical standpoint, the article's assertions align with current understandings of AI limitations.
MS Copilot: I also agree that AI, as it is now, lacks true understanding, insight, and sensation. However, I do not think that this means that AI is stupid or that causal reasoning will not fix it
ChatGPT-4: Users, especially businesses integrating AI into their operations, should demand transparency regarding the training and evaluation of the AI models they employ
Understanding what data has been fed into the model is crucial for assessing its true capabilities and limitations. Regulators should consider establishing guidelines that require transparency
GPT: While AI has the potential to revolutionize various aspects of the medical profession, its current limitations in areas like diagnostic accuracy necessitate a cautious and collaborative approach
The study found that ChatGPT had a diagnostic error rate of 83% (83 of 100 cases). Of these, 72% were incorrect, and 11% were clinically related but too broad to be considered correct
GPT-4: Despite the impressive capabilities of LLMs in mimicking human language, there remains a significant gap between these models and true human-like understanding
This gap stems from LLMs' reliance on statistical patterns, lack of physical embodiment, and the absence of consciousness and cognitive processes that underpin human perception and understanding
GPT-4: "The Chatbot and the Canon: Poetry Memorization in LLMs" is a study that investigates the ability of large language models (LLMs) like ChatGPT to memorize and generate poetry
GPT-4: This raises questions about censorship filters and the accessibility of diverse experiences when using language models to access literary texts​​
GPT-4: It might surprise readers to learn how extensive the vulnerabilities in AI systems are. The fact that these vulnerabilities span across all stages of the ML lifecycle from design to deployment
...and can be exploited in various ways, not just through direct attacks on models but also through the infrastructure in which AI systems are deployed, is an eye-opener
MS Copilot: OpenAI’s acknowledgment of memorization and regurgitation might be used against them by the NYT, who might argue that this is a direct evidence of infringement
Claude: It doesn't directly address key NYT claim / Opt-out mechanism places burden on creators / Not sharing data on contribution of NYT content to training can undermine claims minimizing its impact
AI about: "What is it about these LLM firms, their investors, and their big tech sponsors that makes these cultures think they have the right to use the property of others without permission?"
Blurry lines, pushing boundaries, grey areas, monopolistic practices, lack of transparency, arrogance, cutting corners, inadvertent inclusion, confusion, fair use, loopholes, investment priorities
GPT-4: The SEC's decision underscores the growing importance of AI in business and society and the need for responsible, transparent, and ethical approaches to AI development and deployment
This situation is a bellwether for all stakeholders in the AI ecosystem, indicating a shift towards more accountable and open AI practices in the business world.