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Source channel @githubtrending · Post #15230 · Oct 16

#other This collection of leaked GPT prompts offers a wide range of tools and ideas for interacting with AI models. It includes prompts for tasks like writing, coding, humor, and education, which can help users understand how GPT models work and improve their interactions with AI. By using these prompts, users can create more effective and personalized AI experiences, benefiting from the diverse contributions and insights shared by the community. This resource is valuable for both developers and users looking to enhance their AI interactions. https://github.com/linexjlin/GPTs

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Crypto M - Crypto News

@CryptoM · Post #65372 · 04/13/2026, 02:55 AM

🚀 Asian Markets Show Resilience Amid Geopolitical Tensions Asian stock markets continued their 'low open-recovery' trend on April 13, with Japan's Nikkei 225 and South Korea's KOSPI initially experiencing significant declines before quickly narrowing their losses. According to BlockBeats, this pattern reflects a decreasing sensitivity to geopolitical conflicts, such as the ongoing tensions involving Iran. Since the escalation of the Iran conflict, the market's Monday corrections have shown a consistent reduction in magnitude, moving from near double-digit losses to more moderate adjustments. This indicates a diminishing impact of geopolitical shocks on market sentiment. In trading dynamics, the 'Trump model' is being systematically priced in. This involves creating uncertainty through policy signals or strong statements during the week, followed by a softening stance or 'victory' outcomes over the weekend, which helps to restore expectations and drive a rebound in risk assets. As this framework is repeatedly validated, investors' willingness to trade on early-week volatility has decreased, leading to reduced selling pressure and a convergence in volatility patterns. #AsianMarkets#GeopoliticalTensions#Nikkei225#KOSPI#IranConflict#MarketResilience#TrumpModel#Volatility#RiskAssets#MarketSentiment#TradingDynamics#InvestorBehavior