Your unfinished ideas hit a vendor's context window first — and can be front-run
adrianscottcom · x · 2026-09-18
The author argues that LLM platforms may industrialize users' ideas faster than they can: strategy notes, specs, code and analyses now hit a chat window before reaching colleagues or customers.
Supporting facts cited: human contractors reportedly still review production chat logs; 70% of popular chatbot apps now collect location data (up from 40% a year ago); a Microsoft exec called mass training-data collection "the largest theft of labor in human history"; Anthropic says Claude leads 26% of its own R&D, with 90%+ of that work AI-collaborative or AI-led.
The real questions: does the default retain, review and train on unpublished work? Who has priority when a platform can scale a prompt overnight? Until a true professional mode (no retention, no human review, no training) is the default, front-running is just a product incentive, not a cartoon villain plan.
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