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    <guid>https://www.vishalm.online/blog/posts/llm-inference-vs-execution</guid>
    <title>Inference Is Not Execution: Why Some Problems Defeat Every LLM</title>
    <link>https://www.vishalm.online/blog/posts/llm-inference-vs-execution</link>
    <description>At some point, no matter how capable the model is, the task becomes impossible — not because the model lacks knowledge, but because it simply cannot perform enough computation before producing its next token. This realization changed how I think about Large Language Models. Their biggest limitation may not be hallucination or missing knowledge. It may be something much more fundamental: every LLM has a fixed computational budget during inference.</description>
    <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
    <author>vishalm.nitt@gmail.com (Vishal Mandrai)</author>
    <category>LLM</category><category>Inference</category><category>Agentic AI</category>
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