X postKun ChenOpinion
The utility of LLMs relies heavily on natural, concise, and accurate adherence to prompts. Excessive verbosity and unsolicited outputs directly affect productivity when integrating these models into real-world workflows.
The post touches on conversational degradation in cutting-edge language models. Because the provided excerpt cuts off mid-sentence, the author's intended explanation for why this shift occurred is not detailed in the source text.
Kun Chen
@kunchenguid · 2 August 2026
if you've been using latest frontier LLMs, it's almost certain that you would have noticed by now the newer models have become worse to talk to they're more robotic, they speak jargons, they spits out verbose text, and do stuff you didn't ask for how did that happen? well, i'm
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View on XSummary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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