Definition
Local AI
AI processing that occurs on a user's device rather than in the cloud.
From the episode “AI Is Quietly Stealing Your Life's Work”How founders on the podcast use it
An AI model or system that runs entirely on a user's own hardware, with no data sent to external servers. Eliminates cloud privacy risk and enables hallucination-free responses when the model is constrained to a specific local data set.
AI Is Quietly Stealing Your Life's WorkHear it on the podcast1 episode
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Related terms in AI Fundamentals
Latent spaceA compressed mathematical space where a model represents data like images or text by their essential features, so similar items sit close together.Latent Space ReasoningA technique for structuring AI inference that Devansh and the Irys team open-sourced, positioned as a foundational improvement over standard autoregressive generation.LensEncoded expertise — the structured prism of how an individual thinks, weighs evidence, and judges. Distinct from the artifact it produces.LLM Benchmark ConvergenceThe narrowing of performance gaps between frontier models (GPT, Claude, Gemini) as all approach ceiling benchmarks on standard evaluations. Users switch models for marginal improvements, then switch back. Actual loyalty is driven by workflow integration, API familiarity, and developer preference rather than raw capability differences. The meaningful quality signal that persists through convergence: developers voluntarily paying 4–20x more for Anthropic than for cheaper Gemini-equivalent performance — a revealed preference that tells you more than benchmarks do.Local modelA model running on your own hardware or private infrastructure, so the data never leaves the building.Long-Term Conversational MemoryA technical capability that allows an AI agent to retain context across multiple sessions over days, weeks, or months - referencing prior conversations, tracking commitments made, and building a longitudinal understanding of the user. Distinct from in-session context (which resets after a conversation ends), long-term memory enables genuinely cumulative relationships. In accountability products like Commitify, this capability is the core retention mechanism: the value increases with each call because the AI remembers what you said last time and can follow up on specific commitments.Loss functionThe formula that scores how wrong a model's predictions are. Training is the process of driving that score down.Machine learning (ML)The branch of AI where computers learn patterns from data and improve at a task without being explicitly programmed with rules.