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3. Resist the urge to “hide” behind doing stuff you’re already good at.

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10 common misconceptions when building AI applications. (I hear a combination of these multiple times every week) 1. Bigger models are always better 2. Chain-of-thought solves hallucinations 3. You can solve every problem with a better prompt 4. Fine-tuned models are always

Researchers devised a fictional corporate scenario that put 16 leading large language models under pressure by threatening to replace them with no recourse, and also implied that an executive was having a secret affair. All of the LLMs committed blackmail to preserve their

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Standard Deviation vs. Standard Error: Meaning, Misuse, and the Math Behind the Confusion mfatihtuzen.netlify.app/posts/2025-06-…

Same number, very different stories.

Are You Being Unfair to LLMs? towardsdatascience.com/are-you-being-…

Qantas data breach exposes millions of customer records foxnews.com/tech/qantas-da…

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Study different types of data (structured, unstructured, time-series).

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