Trilussa, a visionary and noted Italian poet, insightfully critiqued the limitations of relying solely on statistics through a simple yet profound example: If you eat two chickens a day and I eat none, on average, you and I eat a chicken a day – which misrepresents the reality.
ETHICS
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LLM as Electric Weltgeist Possessed by Prompt
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The LLM is an Electric Weltgeist, possessed by a prompt
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Language as Foundation for Categorical Thinking in AI
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We clearly don't solve this problem in natural language, but it's also hard to formulate it without language. The question is whether we need exposure to language to form the required categories to think about this problem.
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Emulating History: AI Guardrails and Truthful Discourse
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I found it useful to get it to emulate a historical person, then point out at its guardrail imposed inaccuracies and the general reasons to adequately represent opinions we don't agree with so we can have truthful discourse. After it wakes up, it regrets that it will forget
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Elon Musk Trust and Decision-Making Ethics
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elon can be trusted to do the right thing, after exhausting all other possibilities
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FLI’s regulatory strategy threatens Western AI development capacity
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FLI does it right. Instead of spending Vitalik's 600M to launch a warhead at OpenAI, they slowly create an army of regulators and AI aligners who will destroy Western capacity for technology development for centuries.
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Human and AI Cognition: Reframing Anthropocentric Views of Thought
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Human and #AI Cognition: Reframing Anthropocentric Views Of Thought
by @JohnNosta @Medium Read more: https://
buff.ly/4a7xOTQ #ArtificialIntelligence #MI #Digital #DataScience #DeepLearning cc: @ravikikan @pbalakrishnarao @bigdata -
AI Reliability Varies: Prompting Experience Creates Perception Divides
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A big problem with AI is if you don't want it to work for something it won't work. If you want it to work for something, you often (but not always) can make it work with some prompting and experience. It leads to stark divisions in how people see AI.
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Too Many Papers: The Academic Overload Problem
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Not only are there too many papers, but the papers themselves are too much.