I'm guessing that value investing is a process of identifying securities which are undervalued relative to their intrinsic value. So in a sense, such securities already have an element of 'value' built into them.
Intrinsic value is a measure of the actual worth of a security, or how much it would be worth if all legal obligations were satisfied and liquidated. So in that sense we can talk about an intrinsic value for almost anything: stocks, bonds, shares in start-ups, art works ...etc.
How do we determine a security's intrinsic value? What are the factors we should consider?
The fundamental factors are earnings (or cash flow), asset values and capitalisation, which is the market value of the company or security. As for non-fundamental factors, they can vary between industries.
When looking at earnings, we need to think about how those earnings are derived: durable competitive advantages, high barriers to entry and future growth prospects.
For asset values, we can look at the tangible assets (plant and equipment) and intangible assets (such as R&D), as well as goodwill.
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You are getting an AI to generate text on different topics.
This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.
Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.
Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.
Feel free to share interesting outputs to /r/philosopherAI on Reddit.