Some naive thoughts on AI investing

Investment-wise, I think pretty soon there will come a time when people just get tired of all the AGI bullshit and decide not to invest that much in it, and only afterwards do people realize the real value of the current LLM line and invest again. This means that there are two streams of thought, and the struggle between the two is the most important factor that sets the price for the whole AI industry. The first stream is about AGI, while the second about automation. The first creates the bubble and sets the limit, while the second supports the value and becomes the base.

A valuation system on AI is best designed, therefore, based on the absolute valuation of the temporal strength of the two streams, or the relative strength between the two. 

But how? I mean these are highly abstract intellectual streams that are very far away from practical industrial uses, and they are notoriously hard to pin down quantitatively. Seems much easier to track Nvidia's output than these.

Two solutions come to my mind: one is to focus on the relative change, the difference in difference of the issue. Say the current price (or the moving average of it, if we leave the time span problem aside temporarily) already reflects the relative strength, if someday some event causes the investing people to feel much disappointed at the AGI braggings, such a change creates, immediately and only temporarily, an undervaluation of the AI industry, which is a signal for buying. This approach presupposes that the two streams work on two different levels and change at different speeds. The AGI stream, that is, people's hope (or fear) of realizing AGI, floats on the surface and fluctuates more, while the automation stream, that is, people's actual usage of AI (mostly based on LLMs) to gradually bring repetitive chores to automation, runs deeper and changes slower, because every usage, every large scale social habit, needs time to culminate and diffuse.

The second solution is to find the abnormal, the extreme cases to bet on. Look for the companies or projects that are either very futuristic and yet impractical or very low-profile and yet useful. The futuristic impractical ones are the ones you can bet against, while the low-profile useful ones are the ones you can bet on. This approach requires only a qualitative assessment, but it has to be wide, exhaustive, so as to compare between different projects and decide which is more futuristic and which more useful. Combined with some derivatives, you may even create a bet on the relative price change between two extreme cases, which protects you from losses EVEN IF all the AI projects are overvalued already. That being said, I do think there are some undervalued AI projects out in the market waiting to be discovered, because there is a trend of overrating AI projects based on its intelligence rather than its usage, so that companies are trying hard to show off some cleverness of their models either by superhuman performance or by resorting to sci-fi conspiracy theories where AIs are already planning on destroying or (much worse) enslaving the human race. Well, these are all plainly bullshit, and to make small bets against such bullshit is what I think a good way of making money AND rectifying the society at the same time.

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