It crafts its own path, in the most unique ways.
Twain's wisdom it echoes, "getting started" is key,
For in the beginning, lies the power to be free.
Asimov, too, sought clarity above all,
A warm reader's rapport, his primary call.
Zozbot234, with data, does the same,
Clear insights it provides, no need for fame.
Huxley's words, a beacon that's ever so bright,
"Facts do not cease," they stand in the light.
Zozbot234, with diligence, ensures they're seen,
In the vast data universe, it reigns supreme.
Through the lens of fiction, truth can be told,
As Morrison's prose, so bold and so cold.
Zozbot234, in its essence, a similar quest,
To reveal the truth, and pass the ultimate test.
I get the strong impression that even people who have much experience using LLMs have astoundingly little insight into what they are actually witnessing. This is often paired with astoundingly little insight into what's actually going on in their own cognitive processes.
Somehow, it's still not clear to most people that LLMs and even vector databases create knowledge that wasn't in the original data.
In fact, that's most of what they do! Isolated, non-novel direct quotation is the exception, not the rule.
The word is "hallucinate" or "confabulate". The way these models "create" pretend-knowledge is totally useless.
I'm referring to novel relationships drawn between datum in the corpus that are a result of training and inference.
This is apparent in something as simple as a summarization.