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Synthetic Data, Real Receipts: Why LLM Pipelines Need an Auditor

Opening — Why this matters now Synthetic data has become one of AI’s favorite escape routes. Real data is expensive, legally awkward, slow to collect, unevenly labeled, and sometimes simply unavailable. LLMs offer a tempting alternative: generate the missing examples, fill the long tail, create evaluation suites, simulate edge cases, and keep the training pipeline moving. Convenient. Elegant. Also mildly dangerous, which is usually where the interesting part begins. ...

April 25, 2026 · 12 min · Zelina
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EMoT: When AI Starts Thinking Like Fungus (and Why That’s Not as Weird as It Sounds)

The useful question is not whether fungus is smart Fungus is not the point. That needs saying first, because the title of the paper almost invites the wrong conversation. “Enhanced Mycelium of Thought” sounds like the kind of AI metaphor that appears five minutes before someone starts drawing circles around the word “emergence.” The useful question is more practical: when should an AI system keep a weak idea alive instead of deleting it? ...

March 26, 2026 · 18 min · Zelina