TED Tech · Democracy in the Age of AI (2/5): When AI can fake reality, who can you trust? | Sam Gregory
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used a machine learning algorithm trained on over a million synthetic speech examples to verify audio authenticity
over a million examples
“We have done internally... expose traditional machine learning algorithms and models as tools to an LLM... you can have your Python script for a machine learning algorithm and then invoke that”
“‘...the people who built the machine learning algorithms will use Benford's law as an input... does that vendor follow Benford's law?’”
“The app can clone their voice from just 10 seconds of audio... the app will clone their voice and then put that into a text-to-speech board”
“We trained the final model on the SpaceX cluster ... a few weeks of pre-training, then synthetic data NRL and then shipping it”
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