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docs: free-ceiling research report (deep-research, cited) - #9

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@ssamba1 ssamba1 commented Jun 26, 2026

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Adds docs/free-ceiling-report.md — a cited synthesis from the project's deep-research harness on the realistic ceiling of a zero-out-of-pocket closed-loop humanizer.

Method: 5 search angles → 22 sources → 104 claims → top 25 through 3-vote adversarial verification (9 confirmed, 16 killed).

Findings:

  • Published ceiling (92–97.6% ASR) requires GPU fine-tuning (MASH / StealthRL / AuthorMist); no verified training-free method reaches it.
  • Ceiling per detector tier: high vs local open detectors (in-loop; the training-free closed loop untell mirrors reports −88% TPR@1%FPR), reachable-but-fragile vs ZeroGPT, unprovable vs GPTZero / Originality / Turnitin (can't put them in the loop for free; Turnitin has no public API; GPTZero ships a dedicated anti-humanizer classifier).
  • untell's actual inference-only regime is unmeasured in the literature — the Implement humanize v1: detector-feedback skill + eval harness #1 free thing worth measuring next.
  • Ranked free moves + an honest "what free cannot do" + killed folklore (ZeroGPT-is-useless, Binoculars-collapses-on-GPT-4, vulnerabilities-don't-transfer — all refuted in verification).

Honest-by-design, consistent with the rest of the repo.

🤖 Generated with Claude Code

Cited synthesis from the deep-research harness (5 angles, 22 sources, 25 claims
adversarially 3-vote verified -> 9 confirmed, 16 killed) on the realistic ceiling of a
zero-out-of-pocket closed-loop humanizer. Covers the ceiling per detector tier (local
open / free web / commercial / Turnitin), the evasion-vs-readability trade-off, the
ranked free moves to approach it, and an honest statement of what free cannot do.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Copilot AI review requested due to automatic review settings June 26, 2026 19:15

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