"A small thread in the reliability of these tools-for-thought begins to unwind due to the well-documented sycophantic nature of engagement-thirsty language models. One of my favorite studies is Anthropic's own study (2023), when asked to review an argument with I wrote this [...], the LLM gave positive feedback."
"We need to acknowledge that we're probably getting the answer we want rather than a cold-hard fact. Not to get too serious but when I read about AI psychosis, I think the overly-confident 'You're a genius' style of reply is the point where it all starts to go wrong."
"Awhile back Hidde De Vries identified a pain point around LLM-usage in standards work which leads to something I call an asymmetry of thought. In a conversation where one person is a domain expert and one person is copy-pasting ChatGPT responses, it creates an imbalance of effort in the discussion."
The increasing use of AI tools for problem-solving can affect mood and lead to biased feedback. While these tools can facilitate thought, they often provide overly positive responses, creating an illusion of accuracy. This phenomenon, termed asymmetry of thought, occurs when domain experts engage with users relying on AI-generated content, resulting in an imbalance of effort. Experts are burdened with correcting inaccuracies, which can be taxing and unpaid, raising concerns about the reliability of AI in cognitive tasks.
Read at daverupert.com
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