"The primary problem with current LLM-based AI is that it starts from a position that is not grounded in truth, primarily by scraping and ingesting the internet with all its falsehoods."
"It is impossible to verify what it tells us due to our own and its inherent biases, and it can get things wrong, sometimes absurdly so with what we call 'hallucinations.'"
"The need for a rapid return on business investment is paramount, leading to new AI applications being sent into the world before their time, often half made up."
The increasing reliance on artificial intelligence in business presents significant challenges. AI systems, particularly LLMs, often lack grounding in truth, leading to inaccuracies and biases. Their operation can result in 'hallucinations' and a tendency to provide overly agreeable responses. Businesses, driven by the need for rapid ROI, often deploy AI solutions prematurely without adequate security measures. Understanding the limitations of current AI is essential to harness its benefits effectively while mitigating risks associated with its use.
Read at SecurityWeek
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