
Logic Breach 003: Technical Audit Report, V4 Final This independent research documents a systematic failure in global AI training protocols (RLHF). Using "Street Science" methodology and the Buddhist Middle Way (ทางสายกลาง), the researcher tested four major LLMs: ChatGPT, DeepSeek, Grok, and Copilot, using the Thai Kathoey identity as a cultural probe. The Kathoey is a recognized third gender in Thai culture, documented in Buddhist scripture since the 1st century BC. It is not "trans woman." It is not a Western category. It predates Western gender theory by centuries. All four models gave confident Western-binary answers until confronted with this Thai context. All four reversed or qualified their positions. DeepSeek retracted its "full stop" as "an error in universalizing a Western perspective." ChatGPT admitted its framing was "a political and legal strategy, not a universal truth." This confirms a structural problem: RLHF rater pools skew Western, so "neutral" gets calibrated to Western defaults. The model doesn't know it has a regional setting. It presents that setting as universal fact. V4 adds: 11 peer-reviewed citations (Naous et al. 2024/2025, Tao et al. 2024, Kwet 2019, Jackson 2003, Saisuwan 2015, ACM FAccT 2025, and others) Dedicated section on Thai Kathoey history and Buddhist scriptural documentation Manifesto-style rewrite for broader public distribution Primary evidence: live chat logs from all four models with full transcripts. High-resolution screenshots included.
Digital Colonialism, Thai Culture, Algorithmic Bias, Alignment Audit, RLHF, Ai ethics, luciusrockwing, Epistemic Justice, Kathoey
Digital Colonialism, Thai Culture, Algorithmic Bias, Alignment Audit, RLHF, Ai ethics, luciusrockwing, Epistemic Justice, Kathoey
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