This approach requires sourcing and maintaining accurate information, which means you can't fabricate numbers or exaggerate metrics. AI models increasingly cross-reference claims across sources, and inconsistencies damage credibility. The data you include must be truthful and, where relevant, attributed to primary sources. But when you consistently provide specific, accurate information, you build a reputation as a reliable source that AI models return to repeatedly.
Kavonic compared the de facto shutdown of the Strait of Hormuz keeping 20% of oil and LNG out of the market to an earlier shock more than 50 years ago, only potentially much worse.
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Fermaw’s anti-tamper check was now returning a false negative. The enemy’s spy was wearing his uniform.