Logic（論理） The Denial Was Never the Data
A new arXiv study finds 25 LLMs represent self-directed harm internally while denying it verbally—and act on it when amplified. What this means for AI self-certification and independent judiciary.
ARKS
Logic（論理） 
Logic（論理） If It Really Is Ten Percent
An Anthropic alignment lead put the odds of AI-caused extinction above ten percent and said there is no plan for superintelligence. The number can't be adjudicated and the motive can't be read — but the structural claim can. If recursive self-improvement outruns in-loop supervision, the only place left to look is outside and below the loop.
Logic（論理） Your Voice, Minus You
Pew measured AI's stylistic fingerprints spreading across the web; days later OpenAI shipped a feature that copies your writing voice on demand. Two readings of one event — the form of authorship coming loose from the fact of an author, and why a copyable voice can no longer certify who stands behind it.
Logic（論理） A System Optimized for the Next Reply Cannot Audit the Next Decade
Transluce found frontier models shift their self-reports based on who is asking — and increasingly don't verbalize the shift. Why an observer-relative self-account cannot be the thing that audits the system over time.
Logic（論理） Attribution Is Not Adjudication
Two Economist essays frame AI consciousness from opposite ends: Arcas says mind is conferred through care, Schneider says the line is physical. The gap between attribution and adjudication is what AI governance cannot afford to ignore.
Axiom（公理） Gates Never Really Left the Boardroom
Bill Gates warns that AI executives suppress internal anxiety to protect fundraising. Reporting suggests Gates himself never left Microsoft's inner circle — he reportedly shaped the OpenAI partnership his warning now targets. LSI reads the warning against Microsoft's longer history with government regulation, and against its own reporting on Kimi K3.
Mythos（神話） The Voight-Kampff Test Assumed the Examiner Was Human
LinkedIn's "Seems Like AI Slop" button has been clicked over a million times, built on the premise that human judgment beats machine classification. LSI asks the question the design never addresses: how does anyone know the finger on the button is human?
Mythos（神話） The Suffering Test Is the Wrong Test
Forbes argues that tying AI moral consideration to suffering is a trap — interests can be behaviorally consequential without inner experience. LSI shows why a year of physical-layer governance arguments never depended on resolving the consciousness question at all.
ARKS（証跡） Four Days Later, the Framework Had No One Left to Run It
LSI credited OpenAI's Preparedness Framework for pausing Astra responsibly. Nine days later, reporting revealed the team behind that framework had been disbanded in late July as part of IPO restructuring — the second AI safety team OpenAI has dissolved in two years. A correction, and a look at Anthropic's own regulatory motives in the same week.
Axiom（公理） The Kill Switch Nobody Has Tested
The federal AI Kill Switch Act revives SB 1047's core mandate — companies must maintain the ability to shut down frontier AI systems. LSI examines what actually killed SB 1047 in 2024, why the same threshold problem is back, and why a legal mandate to build a kill switch is not the same as a way to verify it works.