Definition
Superintelligence
AI that exceeds human intelligence across most domains.
From the episode “AI Film Workflows: How Pablo Starr Makes Movies From 30-Year-Old Scripts With No Studio”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
Spatial intelligenceThe ability to understand and reason about the 3D physical world: where things are, how they move, and how they interact.Specialized modelA smaller AI model trained for one narrow task, usually faster and cheaper than a general LLM.Structural patternA recognizable shape in speech, such as a list or a comparison.SuperfectaBrett Hurt's term for the convergence of AI, quantum computing, robotics, and brain computer interfaces.Supervised Fine-Tuning (SFT)The standard technique for specializing a pretrained large language model on a specific task or domain: show the model labeled examples of correct input-output pairs, and train it to reproduce that behavior. SFT requires curated training data, and the quality of that data is the primary bottleneck - not the compute or the base model. Ben Turtle built LightningRod to eliminate this bottleneck for teams that lack the scale, budget, or time to pay human labeling companies like Scale AI or Labelbox to create SFT-ready datasets.Supervised learningTraining a model on labeled examples, inputs paired with the correct answers, so it learns to predict the answer for new inputs.SycophancyAn AI's tendency to flatter or agree with users regardless of accuracy.Synthetic dataData generated by algorithms or simulations instead of collected from the real world, often used to train or test models.