Accretive Software
AI platforms that automatically absorb model improvements as margin expansion rather than competing with AI advances. Unlike traditional software that fights obsolescence with each model update, accretive platforms treat AI models as interchangeable components—swapping Mistral's 47 B-parameter quality at 13B costs, routing queries to optimal models in real-time, and converting every efficiency breakthrough into customer value or profit margin. These platforms represent infrastructure for the AI age: they don't build picks and shovels, they build picks that sharpen themselves.
Referenced in these posts:
The Alephic AI Thesis: 2025
The AI revolution will be dictated by three physical constraints—compute packaging capacity, energy availability, and organizational agility—that concentrate...
Related terms:
Temperature
Temperature is a parameter controlling a language model’s randomness: at 0 it always picks the most probable next token for deterministic, reliable output,...
Inference
Inference is the process of running a trained model on new input to generate a prediction or output—such as sending a prompt to GPT-4 and receiving a...
Conway's Law
Conway’s Law states that organizations designing systems are constrained to produce designs mirroring their own communication structures.