"The biggest data issue with genAI is the lack of reliability. That comes from a variety of factors, everything from hallucinations, to bad training data, bad fine-tuning, misinterpreted queries, badly phrased queries, a lack of proper data weighting and other factors."
"Someone who understands those realities can still get a ton of useful information from the technology. It simply has to be independently verified."
"I've used genAI tools for math problems, but I always verify the answer with a legacy calculator. I will also use it for research - but only as a pointer."
"You can use genAI to find a statement, but you still have to find a copy of the original audio on a high-reliability site and listen to the passages to verify the transcript is correct."
The main issue with genAI is its lack of reliability, stemming from hallucinations, poor training data, and misinterpreted queries. Factors like bad fine-tuning and improper data weighting contribute to this unreliability. Despite these challenges, genAI can provide valuable information if its outputs are independently verified. Users should cross-check results with reliable sources, such as using traditional calculators for math problems or verifying investor call transcripts by listening to original audio recordings.
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