Mindless Intelligence

The excerpt of Daston’s Rules was illuminating for me, as it articulated a clear approach towards the relationship and nuance between human and machine intelligence. I was particularly touched by the following two lines: “The inference drawn from the capacity of machines to calculate was not that machines were intelligent but rather that at least some intelligence […]

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Human Perspectives on the Future with AI by Leo Sun – Debate II Reflection

It is important to acknowledge that creativity and innovation are closely interlinked with risks and dangers. Each instance of innovation or creative breakthrough inherently carries a certain degree of risk and potential dangers. Essentially, the discussion of “AI Will Bring More Creativity and Innovation than Risks and Dangers” revolves around weighing the benefits of creativity […]

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Week 5 Response – On Andrew Abbott’s Lecture on the Future of Expertise Knowledge

Similar to how I appreciate Prof. Goldsmith’s work, I really appreciate lectures like this by Prof. Andrew Abbott that draws on the historical and social tendency of knowledge, knowing, academic and scholarly affairs that spans over a long time. (It must require years of experience and comprehensive knowledge to be able to give a talk […]

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Yushu’s Week 7 Discussion

I resonate with the New York Times’ article regarding the potential dangers of misinformation fueled by new AI developments like DALLE-3. Recently, I’ve observed a surge in the use of DALLE-3 or mid-journey products for news imagery. This trend is apparent on various social media platforms and forums I frequent, making it increasingly challenging to […]

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LLMs’ Evaluative Strategies Summarized from Group Discussions (Weeks 3 to 5)

– Introduction of knowledge:          For analysis;         For utilization;         Outside of domain – “Chain-of-thought” reasoning – Counterfactuals/hypotheticals – Recursive phrasing – Constraints/lists – Adjusting prompt phrasing to test the result – Ethical scenarios – Language – Cherry-picking – Logic – Translation – Summarization – Training the model to ignore irrelevant deviations (e.g. typo) – Prompts pp. […]

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