AI stock god Leopold became a hero after bursting out of positions, and Silicon Valley Capital set off a wave of popularity
Comparatively, after Leopold, a new 25-year-old Wall Street AI shareholder, burnt out its hedge fund Situational Awareness, Silicon Valley Capital instead set off a wave of popularity for it. People familiar with the matter revealed that a large number of Silicon Valley investors took the initiative to contact the fund within just a few days to express their intention to invest more. Sequoia Capital partner Pat Grady publicly stated that he will be an important figure in Silicon Valley for a long time; senior venture capitalist Elad Gil also announced his first application to invest in the fund; Logan Bartlett, managing director of Redpoint Ventures, bluntly stated that there is a heroic prototype here — Leopold was punched, which instead stirred everyone's unity. Despite being hit hard, the fund recorded positive returns of around 80% this year, and the remaining asset portfolio is worth around $10 billion.
However, Situational Awareness has advised investors that new funding will not be accepted for the time being. Leopold himself announced in a letter to investors that all leverage had been removed, characterizing the crisis as a costly but priceless lesson, and at least not using the bank's main brokerage business to expand investment. The storm revealed the deep differences between Silicon Valley and Wall Street — Wall Street sees this as a classic case of excessive leverage. The founder of S3 Partners bluntly pointed out that this is a super-concentrated, overcrowded, and super-leveraged position. Barclays previously refused to accept it as a customer on the grounds that its exposure to the industry was too concentrated; Silicon Valley saw it as an opportunity to buy at bargain prices.
A New York University professor explained that Silicon Valley rewards people who make the right decisions in the direction of transformative technology, while Wall Street rewards those who preserve capital while creating risk-adjusted returns.




