- Pascal's Chatbot Q&As
- Archive
- Page 56
Archive
GPT-4: The modus operandi involving the use of offshore hosting, anonymous domain registration, and operations in legally ambiguous or unregulated territories is not exclusive to cryptocurrency scams
These crimes exploit the digital and global nature of the internet, taking advantage of jurisdictional challenges, anonymity, and the difficulty of international law enforcement cooperation.
GPT-4 analyzes the ransomware attack on the British Library: The Library’s historically complex network topology and reliance on legacy systems significantly contributed to the severity of the attack
The Library's increasing use of third-party providers within its network was noted as a risk prior to the attack. The report suggests that the existing intrusion response processes were not adequate.
Claude: I agree that general-purpose chatbots like ChatGPT and Gemini face inherent challenges in trying to be an omniscient, unbiased assistant on any topic
Their training data and the priorities of their creators inevitably lead to biases, inconsistencies and an inability to fully separate from the company's interests
Asking Claude: Please analyze this information about Patronus AI and the work they did on copyright infringement by LLMs and list their key findings
Claude: They found that state-of-the-art LLMs generate copyrighted content at an alarmingly high rate when prompted to produce text from popular copyrighted books.
"Judges love Google" - Claude analyzes the transcript of the video: "Generative AI for In-House Legal: Navigating Copyright, Fair Use and Liability."
Judges feel pressures - whether infrastructural, institutional or sociopolitical - to rule in ways amenable to those companies' interests when it comes to their development and use of new technologies
ChatGPT-4: These controversies highlight the need for a broader societal conversation about the role of AI in perpetuating or combating systemic inequalities.
The study highlights that these AI models, which are used in various applications from writing aids to hiring decisions, have inherited and are perpetuating racial biases.
Asking AI services: provide all possible counterarguments to Microsoft’s views as expressed in the Financial Times article. Copilot: AI tools could diminish the economic value of original works
Gemini: The precedents cited by Microsoft (VCR, player piano, etc.) may not be directly applicable to the complexities of AI and its potential impact on creative work
GPT-4: Integrating wise & experienced women with vast general knowledge into the boards of AI providers offers numerous benefits, particularly in promoting responsible & ethically sound AI development
ChatGPT-4: However, achieving this requires careful planning, openness to change, and a commitment to diversity beyond mere tokenism
Asking AI: List all issues that red-teamers can identify that AI makers most likely cannot fix. Gemini: fully understanding the reasoning behind an LLM's outputs might remain a hurdle
Completely preventing the LLM from being tricked into unintended actions through clever prompts might be a continuous battle. Completely eliminating bias might be impossible.
Asking AI: What is a better approach: proactive genome editing or reactive Neuralink-based guidance? Make a choice first, before providing the reasons why
"Genome editing may be more ethical & respectful of human dignity, autonomy & identity, while reactive Neuralink-based guidance may raise serious issues of privacy, security, consent & manipulation"
MS Copilot's analysis of the Lexology article: "Getty v. Stability AI case goes to trial in the UK - what we learned" - An AI model could potentially qualify as an infringing copy of its training data
The location of AI model training and development matters. Claimants need to demonstrate how the AI system works to prove infringement. Secondary infringement could apply to intangible software