ChatGPT Space: a dystopia of centralised context

Argues that ChatGPT Space represents a strategic effort to centralise human and organizational context into a single AI-native workspace, and that doing so creates a powerful vendor-lock‑in and data-accumulation flywheel. It lays out three incentive scales: superficially competing with Notion, more ambitiously challenging Microsoft 365, and fundamentally pursuing ownership of the world’s contextual data. Central points include how storing context on a provider’s servers, integrating it only with that provider’s models, and limiting easy export generate “context gravity” that biases workflows toward that provider; that trapped context becomes extremely valuable both as customer lock‑in and as model training material; and that system-level nudges can accelerate entrenchment so users prefer the provider’s models even if alternatives are technically superior.

Warns that concentrated control over intelligence produces dystopian effects by gatekeeping access and deciding who benefits from AI capabilities. Presents a concrete example of an account suspension after sharing critical material as evidence of asymmetric enforcement power. Argues that once context is owned by a few labs, incentives shift from innovation toward entrenchment and commercial extraction. Offers an open-source, AI-native alternative and a short demo as a practical counterproposal, while disclosing an ideological commitment to democratic freedom and explicitly framing some rhetoric as deliberately provocative.