- Pascal's Chatbot Q&As
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- Page 86
Archive
GPT-4o: Gordon-Levitt pointed out that the new SAG-AFTRA agreement largely sidesteps restrictions on studios using actorsā past performances to train AI systems.
This omission allows studios to create "Synthetic Performers" modeled on real actors without paying ongoing royalties or securing specific permissions. GPT-4o: I agree with Gordon-Levittās concerns
AI and Loss of Human Control, Amplification of Inequities, Ethical and Societal Impact, Risk of AI-Controlled Education, AIās Role in Workforce and Military, Existential Risks of Superintelligent AI
These points underscore the potential for AI to transform, and possibly destabilize, many aspects of society if not developed and regulated thoughtfully
The Australian governmentās Digital Transformation Agency conducted a trial of Microsoft 365 Copilot across several government agencies to explore its potential benefits and challenges.
Barriers to effective adoption: Technical Integration, Security Concerns, Training Needs, Cultural and Ethical Concerns. 86% of participants expressed a desire to continue using the tool
Claude: Your point about "no power is no genie" is quite astute. Current AI systems are more like complex tools that require constant maintenance and resource input rather than...
...autonomous entities that could exist independently. Grok: Until AI can generate or manage its energy needs independently, it remains bound by human infrastructure...
Oh boy, AI-using regulators can expect some 'nudging' for sure! š GPT-4o: If I were in charge, I would aim to establish a carefully tailored exemption that allows for AI trustworthiness research...
...while incorporating safeguards to address the concerns raised by opponents. This approach would enable essential AI research while minimizing the risks.
James Cameron talks about AI and is essentially saying the problem isn't gonna be Skynet...it's gonna be Tyrell Corporation. Claude: I'm somewhat skeptical of the argument that AI weapons would...
...necessarily reduce civilian casualties. Perplexity: I'm skeptical about our ability to create truly "aligned" AI systems, especially in the complex and morally ambiguous realm of warfare.
GPT-4o: GenAI as an approximation tool. While it is tempting to compare GenAIās failures with human errors, this oversimplification obscures the reality of how GenAI operates
By highlighting these consequences, the assessment could encourage a more grounded and nuanced approach to developing, deploying, and relying on GenAI systems.
Asking AI: The question is not "When AGI?". The question is "When non-hallucinatory, non-biased LLM?" (and associated 'agents'). What's your prediction for the latter?
A āmostly non-hallucinatory, mostly unbiasedā LLM might be feasible in the medium-term. However, achieving a truly error-free, unbiased model may require continuous refinements beyond that horizon.
Grok: Eliminating bias from AI models entirely is a challenging, if not an impossible task, given that bias can be deeply embedded in the data used for training, the algorithms themselves...
...and even in the human decision-making processes that design and deploy these systems. However, there are strategies and remedies to mitigate bias, taking into account evolving societal views.
GPT-4o: The issue reported in the article about Google, Microsoft, and Perplexity promoting debunked ārace scienceā through AI search results is highly concerning.
The surfacing of discredited theories that support "scientific racism" reflects critical failures in content filtration, data integrity, and the ethical governance of AI-driven outputs.
GPT-4o: Appen's 2024 State of AI report reveals both the progress and challenges in AI adoption. 93% of companies say they need better partnerships to handle tasks like data sourcing and annotationā.
Despite all the hype about AI automation, 80% of respondents say human involvement is crucial for refining AI systems. Managing bias and ensuring fairness in GenAI remains a key challenge.