Chatbots are a limitation and AI image tools, especially Midjourney, are much further along in developing new UX/UI approaches to working with AI that better take advantage of key AI strengths (it can create many variations) & the key human roles of vision, curation & selection.
@emollick
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Ethical AI Development Requires Shared Responsibility Between Makers
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This does not let the model makers off the hook, nor does it mean that building ethical AI is any less important. But users cannot abrogate responsibility, either.
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Expanding AI Ethics: User and Creator Responsibility Beyond Models
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I think it is valuable to expand the idea of AI ethics from a narrow focus on making AI creators & models act ethically to also placing the onus on users & creators to apply AI ethically Cheating is still cheating, lying is still lying, misusing a tool is still misusing a tool.
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Prompt Engineering for Shopping Deal Evaluation with LLMs
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The prompt was “is this a good deal?” (Prompting is really not that hard for most requests) And it is an interesting case where hallucinations don’t matter that much (though I didn’t find any). Most online shopping guides are out of date, riddled with conflict-of-interest & odd)
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AI-Powered Visual Shopping: How o3 Transforms Retail Experience
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Hard to imagine this doesn’t become a norm for many when shopping. Going to require some big adjustments in retailing. (And as opposed to searching on Google, I just had to take a picture and o3 did the work, giving me personalized advice and telling me what sales to wait for)
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Claude Sonnet 3.5 Outperforms Humans at Ideation but Struggles with Execution
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Claude Sonnet 3.5 generated significantly better ideas for research papers than humans, but when researchers tried executing the ideas the gap between human & AI idea quality disappeared Execution is a harder problem for AI. (Yet this is a better outcome for AI than I expected)
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AI Autonomously Running Vending Machine Reveals Capabilities
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What happens if you let AI run a vending machine? Actually autonomously managing a money-making process is a very good test for AI. Anthropic did exactly that, and the flaws (& some strengths) provide a great lens on what AI is good and bad at, and how those gaps might be closed
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Claude’s Self-Referential Artifact: Claudeception Innovation
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This was pretty clever from Claude. “Claude, do the most self-referential claudeception artifact you can.” That was the only prompt. (Also, I have to acknowledge that Claudeception is a memorable, funny name for having a Claude artifact use Claude – a rare AI lab naming win.)
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AI Weekly Use Saves Teachers Six Hours Productivity
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To clarify it is the 30% of teachers who use AI weekly that see a 6 hour a week savings.
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Gallup Report: Teachers’ Perspectives on AI in Education
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Report: https://
gallup.com/file/analytics
/691922/Walton-Family-Foundation-Gallup-Teachers-AI-Report.pdf
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