Money Stuff

The nice thing about building an artificial intelligence model out of a quantitative hedge fund is that there are interesting ways to monetize it. A standalone AI company will probably think of ideas like “sell subscriptions to an AI chatbot” or “sell access to an application programming interface,” but with a hedge fund you can be more creative. A naïve approach might be: “We will ask our AI chatbot what stocks to buy, and buy them,” but that is probably wrong. For one thing, your chatbot is probably bad at picking stocks. Also your hedge fund probably has its own AI stock-picking models that are better. Also, if you do release your AI model to the public — if you open-source it! — then everyone else can use it to pick stocks too, so this doesn’t give you any real advantage. There is, however, a much funnier approach. The approach is: I have no reason to think that quant fund manager and DeepSeek founder Liang Wenfeng actually did that, or even thought about it, but, man, wouldn’t it

The nice thing about building an artificial intelligence model out of a quantitative hedge fund is that there are interesting ways to monetize it. A standalone AI company will probably think of ideas like “sell subscriptions to an AI chatbot” or “sell access to an application programming interface,” but with a hedge fund you can be more creative. A naïve approach might be: “We will ask our AI chatbot what stocks to buy, and buy them,” but that is probably wrong. For one thing, your chatbot is probably bad at picking stocks. Also your hedge fund probably has its own AI stock-picking models that