- Pascal's Chatbot Q&As
- Archive
- Page 78
Archive
ChatGPT-4: Overall, the authors present a compelling argument for the establishment of safe harbors to support independent AI evaluation and red teaming
Their proposal highlights a proactive approach to addressing the ethical, safety, and transparency challenges in AI development, which could lead to more trustworthy and reliable AI systems
"Digital disruptions can stem from a wide array of sources, many of which are more likely to occur in the near future than the catastrophic scenarios of massive solar flares or global-scale flooding"
GPT-4: The increasing reliance on technology and the exacerbating effects of climate change make it crucial to invest in preparedness and resilience measures
Claude: The Publishers Association does seem to have a legitimate point regarding the unauthorized use of copyrighted material by tech companies to train their AI models
Claude: Establishing clear guidelines and a licensing framework could help balance the interests of both parties while promoting the ethical and legal development of AI models.
MS Copilot's analysis of the paper "Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast"
It’s like a computer virus that can spread quickly among AI agents, making them behave in harmful ways. The researchers created a simulation with one million AI agents to show how fast this can happen
Asking AI: Has computing and networking made life faster? Will Artificial Intelligence make life even faster than it already is?
GPT-4: The acceleration of life due to AI technologies can have profound effects on the human psyche, influencing our mental health, social interactions, and overall well-being
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