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Where genuinely new findings come from, and which Canopticon questions are best placed to produce oneThe research that most reliably produces new knowledge out of existing material does one of three things. It joins pieces of evidence that already exist but sit in literatures that never cite each other (Swanson's fish oil and Raynaud's li…ResearchAI-directed development19 Oct

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For your other fields, the analogues are critical/heterodox venues in law (critical legal studies, law-and-political-economy) and media theory.A Unified Cloudflare-Native Research System for Thesis-Depth Work: Landscape, Architecture, and Feasibility (June 2026)Contrarian / heterodox research capabilityAI-directed development A 2025 repository study (Edbert, Codabux & Verdecchia, EASE 2025) found debt rising as deadlines approached in some open-source projects but not others.Correct but Not Yet Known: The Science of Treating a Fast Intuition as a Verified ConclusionTime pressure, momentum, and skipped verificationAI-directed development Academic citation networks are the other precedent.Eight Innovative Animation & Visualization Ideas for Code-First Documentary ProductionProvenance Visualization — Chain of CustodyAI-directed development …served its purpose, but is now limiting as we focus on technological efforts in other areas." The four survivors were pulled through 2025 — Ranveer vs.Eight Innovative Animation & Visualization Ideas for Code-First Documentary ProductionInteractive/Branching Linear VideoAI-directed development …ith the participant restoring, from artefacts he maintains, a common ground the other party cannot carry," calling this "the repeated re-establishment of a working ground under asymmetric persistence." This is the closest existing statement of your Part 1 thesis — but it concerns scholarly writing, not coding, and is a…Stateless Partners, Shared Traces: Common Ground, Stigmergy and Naturalistic Decision Making in AI-Directed Software DevelopmentKey FindingsAI-directed development Shaikh et al. traced part of this to training: "training on contemporary preference data leads to a reduction in generated grounding acts." In other words, the models are optimized to act as if common ground exists.Stateless Partners, Shared Traces: Common Ground, Stigmergy and Naturalistic Decision Making in AI-Directed Software DevelopmentPart 1 — Common ground and transactive memory with a (semi-)stateless collaboratorAI-directed development In your situation, one party's record is continuous and the other's is reconstructed each session from whatever enters the context window.Stateless Partners, Shared Traces: Common Ground, Stigmergy and Naturalistic Decision Making in AI-Directed Software DevelopmentPart 1 — Common ground and transactive memory with a (semi-)stateless collaboratorAI-directed development