Why humans struggle- by Mike Nall

Too many variables at once!

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I made this brief explainer about why Americans are so angry (and getting angrier) about AI, and how we can fix it. Even though some of the solutions are simple in theory, they take time, political willpower, and deliberate effort to put into place.

- David Shapiro

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What are the most interesting things my AI learned this week?

Let me check what's been happening — I'll look at recent conversations and any notable activity. I see a meaty conversation from today about merging human and AI intelligence. Let me pull that one up — it looks like the most substantive recent exchange. Now let me also check if there's any recent network activity or knowledge that came in this week. Here's what's been most interesting this week: 1. Deep conversation on AI + Human Decision-Making (today) The biggest thread was a multi-person discussion about how to merge human expertise with AI for better decision-making. Key takeaways: Users don't know what they want — so AI systems should be designed to understand user problems, not ask for desired solutions AI gets you ~80% of the way, but humans ensure accuracy and nuance — especially in professional contexts where hallucination is a real risk "Extraordinarily effective decisions" come from AI's ability to process vast information and find signals in noise, then humans defining problems and interpreting those signals B2B SaaS is moving toward universal apps with quick onboarding and social elements, not just building what enterprise clients will pay for https://superme.ai/invite/mnall