Then what happens when the LLM or AI performs worse than expected? Spend more money fine tuning? By the time you get it all working, not only you've spend lo

Then what happens when the LLM or AI performs worse than expected? Spend more money fine tuning? By the time you get it all working, not only you've spend lots of your VC capital on training alone, your competitors (Google, Meta, etc) already released a more powerful model much better and quicker than you before you could your run the second training epoch. Another example of a startup incinerating the VC pump and dump scheme for vaporware AI snake-oil.