- Pascal's Chatbot Q&As
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- Page 13
Archive
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 “mostly non-hallucinatory, mostly unbiased” 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 “race science” 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 annotation​.
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.
GPT-4o: Without a clear, accountable consciousness, a chatbot cannot experience consequences or understand the gravity of misrepresentation, which is crucial for courtroom ethics.
If society and courts start to defer ethical or testimonial duties to machines, it could erode the accountability that underpins justice systems. Gemini: Chatbots could be manipulated or biased
GPT-4o: If one views "better" in the context of specialized customer service, then Claude might indeed outperform me in certain ways due to its fine-tuning, focus on safety, and specialized testing.
However, I offer broader functionality, covering a vast range of tasks that extend beyond customer service. Whether one is "better" than the other depends entirely on the intended use case.
GPT-4o: While it's true that some AI makers may focus more on improving models than on ethical considerations, there are ways to encourage greater adoption of the recommendations in the paper.
Stronger regulations, market pressure, internal culture shifts, financial incentives, transparency mechanisms, and collaborative efforts can make the ethical alignment of AI systems more compelling.
Resignation of Miles Brundage: Market-driven approach may be at odds with AI safety, especially when competing in a high-stakes environment where cutting corners could have devastating implications.
OpenAI's Miles Brundage himself noted that corner-cutting on safety is a risk when there is a zero-sum race mentality between competing AI companies.
GPT-4o about AI & Investing: The estimates for value creation might not fully consider challenges like data privacy laws, AI ethics, and consumer resistance to AI-driven marketing.
Over-reliance on AI without human oversight could lead to poor decision-making, especially in fields that require ethical judgment or understanding of non-quantifiable factors.
GPT-4o: While Professor Lee highlighted that generative AI can boost productivity, (...) I think this optimism might be somewhat overstated or overly generalized. He framed AI as a tool...
...that could augment human creativity, improve output, but didn't fully explore the downsides, e.g. in industries where the intro of AI could lead to oversaturation of content or diminishing returns.
Claude about the NYT article "Former OpenAI Researcher Says the Company Broke Copyright Law": It may not serve the reader's need to understand the actual technical and legal realities of the situation
The article appears to be making a significant effort to appear balanced, potentially at the expense of important technical and legal context