- Pascal's Chatbot Q&As
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GPT-4: The paper provides methods to determine what kind of training data has been used in language models and to create verbatim copies of that training data
Creators and rights owners can use these findings as evidence in litigation. The ability to extract verbatim copies of training data could prove that a model has used their work without permission
The finding that individuals with higher educational qualifications, particularly in fields like economics, mathematics, and finance, are in jobs more exposed to AI is counterintuitive
Higher education is seen as a safeguard against job displacement due to automation, but in the context of AI, it seems that more education correlates with greater exposure
Claude: The common thread is recognizing innovation's inevitable tensions with public interest concerns. Reasonable guardrails forged through collaborative discussion tend to serve all parties better
...in the long run compared to a tech free-for-all or stringent bans arising only post-crisis. The win-win approach builds public trust
The Imperative of Tangible Thresholds in AI Governance - by ChatGPT-4. The future of AI should not be shaped solely by those who stand to profit from it
Concrete, mathematical thresholds are vital. We need defined metrics for intervention. Without such thresholds, we risk normalizing collateral damage in the name of progress











