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Openai/6942c2ca-2ce8-800d-a7b5-cdd18649a7ce
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===== 1. Parse intent + constraints. I identify what you’re asking (“explain motives/rationale”), the target (Trump), and what style you want (process + explanation). ===== # Activate relevant concepts from learned structure. I don’t open files or fetch web pages by default. Instead, your prompt activates a region of my internal model where concepts like tariffs, trade deficits, protectionism, bargaining leverage, Section 232/301, revenue, reshoring tend to co-occur. # Assemble a coherent explanation by prediction. I generate the next words by estimating what continuation best fits the prompt + context. That “best fit” is shaped by patterns learned during training: how people typically explain tariff policy, what arguments are usually associated with Trump’s tariff agenda, and what a good explanatory structure looks like. # Reality-check and update when needed. For political/current topics, I must not rely on my internal model alone because it can be stale. So I use web browsing (like I did here) to anchor the answer to up-to-date, checkable claims. The White House<ref>{{cite web|title=The White House|url=https://www.whitehouse.gov/fact-sheets/2025/04/fact-sheet-president-donald-j-trump-declares-national-emergency-to-increase-our-competitive-edge-protect-our-sovereignty-and-strengthen-our-national-and-economic-security/|publisher=The White House|access-date=2025-12-17}}</ref>
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