The only part that was difficult to figure out initially was press emails. I get these from random companies all the time, and not all of them are in my contacts list. For this problem, the solution I came up with was similar to the one I used for junk emails above. I had the AI create a filter to sort any email that includes common press email words and phrases like “announce,” “launch,” and “embargo.” This filter required manual tuning over the course of a couple of weeks as more phrases and words were identified, but it has mostly worked well.
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Ethical considerations transcend individual welfare wagers. A recent report documented a Polymarket user generating approximately $1 million through accurate predictions of military actions against Iran, achieving 93% success on substantial bets—including non-public operations—prompting insider trading concerns.
Министр обороны США наблюдал разрушительную мощь вооружений: По информации Associated Press, глава военного ведомства Хегсет инспектировал американские военные подразделения на Ближнем Востоке