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Applied AI·July 16, 2026·1 min read

Detecting LLM-Generated Texts with “Classical” Machine Learning

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Using classical ML to detect LLM-generated text is a pragmatic shift away from brittle watermarking schemes. If your business depends on human-authored content, you should be testing these detectors against your own workflows now rather than waiting for a universal standard that may never arrive.

Applied AI

AI-powered software could recover 300GW of hidden capacity for the US power grid, enough to power thousands of AI data centers

If tools like GridCARE can actually unlock even a fraction of 300 GW of latent transmission capacity, the near-term constraint on AI buildout shifts from steel-in-the-ground to software and regulatory approval. Data center operators and large loads should be asking utilities what grid-aware software they’re piloting before committing to expensive on-site generation.