Google AI Tries CPR on Toxic Data, Saves Your Social Security

Google AI Tries CPR on Toxic Data, Saves Your Social Security
Photo by NEOM on Unsplash

In a stunning sequel to "AI Runs Out of Things to Learn," Google DeepMind’s researchers—led by Demis Hassabis’s ghostwriters—have invented Generative Data Refinement (GDR) to rescue data tossed aside for being toxic, inaccurate, or hopelessly personal since, you know, privacy matters. Around 2024-2025, they uncovered that entire documents get chucked away just for hiding one Social Security number or outdated CEO gossip—losing valuable training tokens like a hoarder throwing out the good dishes because of one cracked mug. Minqi Jiang, freshly escaped to Meta, brags GDR "completely crushes" current tech remedies by rewriting problematic text instead of drenching it in bleach or irony, safeguarding your digits while feeding AI's eternal appetite—because AI swallowing all human words between 2026 and 2032 sounds like a quiet dystopian typo-free Apolooza. They even proof-tested GDR on over a million lines of code with humans babysitting the effort, since we’re obviously too fallible to trust AI with messy data this time. No comments from DeepMind's mothership yet, but fingers crossed GDR saves us from synthetic data's 'model collapse' apocalypse. Oh, and video? Too many gigabytes to freak out about yet.

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Source: Businessinsider | Published: 9/15/2025 | Author: Hugh Langley