Definition
GPT (Generative Pre-trained Transformer)
A family of large language models built on the transformer architecture and trained to generate human-like text from a prompt.
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Frontier labsThe handful of companies training the most capable models, including Anthropic, OpenAI, and Google.Frontier modelOne of the most capable general-purpose AI models available, at or near the leading edge of the field.GAN (Generative Adversarial Network)A setup where two neural networks compete: a generator creates fake data and a discriminator tries to spot it, which pushes the generator to get more realistic.Generative AIAI that creates new content, such as text, images, music, code, or video, rather than only analyzing existing data.GPT WrapperA thin AI product built on top of a foundational LLM without proprietary data, unique distribution, or genuine differentiation. The category of AI product most founders are building and fewest investors want to fund as foundational models grow more capable. Lacks the defensible IP or distribution moat required for long-term pricing power.Grounded Training DataTraining data derived directly from real-world, timestamped sources - internal Slack channels, company reports, PDFs, emails, public news archives - rather than generated synthetically by AI. Ben Turtle of LightningRod AI defines grounded data as the antidote to synthetic slop: it contains information the model doesn't already have, sourced from events that actually happened in a specific domain. Grounded training data is what enables a small model to outperform a frontier model on domain-specific tasks - not because the small model is smarter, but because it was taught things the frontier model was never shown.GroundingStanding barefoot on soil or grass. The claimed mechanism involves electron transfer from the earth; the claim isn't established science, and Steve Phillips says so himself.GuardrailsRules built into an AI product to detect risk and route users to proper help.