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FEATURED TALK
AI: too good to be true, too bad to be useful
Why are some AI applications too good to be true and others total bunk? What is the reason behind the massive gap between over-promise and under-deliver? Let's talk about LLM history, mystery, and optimization to figure out where the f**k is all the automation.
