A user on Reddit's r/LocalLLaMA forum expressed frustration with current large language models (LLMs), stating they are ineffective for agentic tasks due to an inability to follow detailed instructions. The user found that even models like Qwen3.6 and its variants, including a 'thinking' version, failed to adhere to specific directives for tasks such as private data sorting. This led to a query about the importance of 'thinking' capabilities in LLMs for complex instruction following. AI
IMPACT Highlights a potential gap in current LLM capabilities for complex agentic tasks requiring detailed instruction adherence.
RANK_REASON User opinion piece on LLM capabilities.
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