How deeply does Sutskever's List cover deep fake?

Uses the analogy without explaining how synthetic audiovisual media are made.

Deep fake

A deepfake is realistic AI-generated synthetic media depicting people doing or saying things that did not occur.

A deep fake is realistic AI-generated media depicting someone doing or saying something that did not occur. In 2019, “deepfakes for text” became a way to describe a related concern: generated writing that could look credible despite being fabricated. section 1.2

Why the analogy caught on

GPT-2 could generate news articles from headlines without task-specific training. In the “Ovid’s Unicorn” sample, it produced plausible prose that included a fictional scientist and university affiliation. Such examples helped fuel concern about malicious use; OpenAI withheld the full-size model. They illustrated plausibility, not a demonstrated misinformation campaign. section 1.2

How Sutskever's List covers it

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Also explained in

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Introduction to Generative AI, Second EditionA deepfake is synthetic or manipulated media generated with machine-learning techniques to depict people, events, or statements inaccurately or deceptively.
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Build a Text-to-Image Generator (from Scratch)A deepfake is synthetic or manipulated media generated or altered with machine-learning methods to impersonate or misrepresent real people or objects.
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Inside AIA deepfake is digitally generated or altered media that realistically depicts a person or event in a way that is not authentic.

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Related concepts

deep learninguses · Deep learning is a machine-learning approach that uses neural networks with multiple computational layers to learn representations from data.
artificial intelligenceproduced by · Artificial intelligence is the field concerned with creating computational systems that perform tasks associated with human intelligence, such as learning, reasoning, perception, or decision-making.
fabricated contentproduces · Fabricated content is media or information that has been artificially created or altered to appear authentic despite not representing genuine events or facts.
generative modelingproduced by · Generative modeling is a machine-learning approach that learns patterns or a data distribution to generate new samples resembling the data.
deepfake detectionaddressed by · Deepfake detection is the analysis of digital media to determine whether it has been synthetically generated or manipulated.
generative adversarial networkproduced by · A generative adversarial network is a generative model with a generator and discriminator trained in competition, enabling the generator to produce samples resembling a target dataset or distribution.

This explainer was generated by Manning's knowledge graph from the text of Sutskever's List. The section links point to the parts of the book it draws on.