According to @StockMarketNerd, short sellers aiming for asymmetric downside should target weaker names like IONQ and RGTI rather than leaders NVDA and PLTR, emphasizing risk-reward efficiency for bears (source: @StockMarketNerd). According to @StockMarketNerd, NVDA and PLTR are described as elite, expensive, and thriving operators, while IONQ and RGTI are characterized as probable zeros with no near-term path to a viable product, making the latter a lower-resistance short, in their view (source: @StockMarketNerd). According to @StockMarketNerd, betting against category leaders requires timing industry cycle deceleration, whereas shorting structurally weaker firms is anchored in fundamentals and product viability risks (source: @StockMarketNerd). According to @StockMarketNerd, a practical trading takeaway is to concentrate short exposure in weaker quantum-computing equities (IONQ, RGTI) rather than AI leaders (NVDA, PLTR) if seeking downside, while recognizing higher volatility and sizing accordingly (source: @StockMarketNerd). According to @StockMarketNerd, the comment references a Burry-style short mindset and frames the choice as minimizing voluntary resistance by avoiding fights against strong leaders (source: @StockMarketNerd).