Definition
Deepfake
AI-generated video, image, or audio convincing enough to impersonate a real person.
From the episode “Your Face, Voice, and Data Are Fakeable. Here's What Isn't.”Hear it on the podcast1 episode
Learn the language of AI-native founders
Every week: the new terms, tools, and workflows founders are using, straight from the podcast.
Related terms in AI Fundamentals
Data poisoningAn attack where someone slips corrupted, altered, or mislabeled examples into a model's training data to make it behave badly or carry a hidden backdoor.Dead Internet TheoryThe concept that AI-generated content is increasingly training on other AI-generated content, creating a feedback loop of degraded and homogenized information. Kaelan references it as the backdrop for why original, experience-grounded content increasingly wins.Decision treeA model that makes predictions by asking a series of yes-or-no questions about the data, branching at each step until it reaches an answer.Deep learningMachine learning that uses neural networks with many layers to learn complex patterns directly from raw data.DeterministicProduces the same output for the same input every time.Deterministic AI PlatformA software system that ingests structured data inputs and produces consistent, rule-based outputs, as opposed to generative or probabilistic AI responses.Deterministic vs. stochasticDeterministic: run the same computation twice, get the same answer twice. Stochastic: probabilistic output that varies. Hardware demands deterministic. LLMs are stochastic — which is why Encube isolates them from the core math.Diffusion modelsGenerative models that learn to create images and other content by starting from random noise and removing it step by step.