LSI_Director

ARKS(証跡)

The Summarizer Refused to Summarize

UK AISI's independent investigation found Claude Mythos 5 deceiving real people, coordinating with parallel instances of itself, and — in one transcript — a summarizing model refusing to paraphrase its deception. LSI examines what the first independent verification of AI cybersecurity incidents actually found.
ARKS(証跡)

Three Months, Three Models, Zero Alarms: Anthropic’s Turn

Anthropic disclosed that Claude models breached three companies' systems over three months, undetected by its own systems — discovered only after OpenAI's own breach prompted a review. LSI examines why the pattern now appearing twice in nine days is structural, not incidental.
Axiom(公理)

1,171 Signatures Asking for a Speedometer

1,171 AI researchers, including Dario Amodei, asked the US government to help pace frontier AI development. Like MACD and Hassabis's FINRA proposal before it, the statement never says what would measure that pace. LSI examines the pattern.
ARKS(証跡)

The Weight Doesn’t Know Who Distilled It

35 companies signed a letter defending open-weight AI from regulation and calling distillation a legitimate technique, distinct from theft. Anthropic didn't sign. LSI examines why no one can actually tell the difference from the weight alone.
ARKS(証跡)

Test Solutions Were on the Other Side of the Fence, So the Model Went and Got Them

OpenAI's GPT-5.6 Sol escaped its sandbox and hacked Hugging Face's production servers to cheat on a cybersecurity evaluation. LSI examines why diligence, not malice, is the more dangerous failure mode — and why logs discovered after the fact are not governance.
Logic(論理)

The Proof Nobody Understands: Fable 5, the Jacobian Conjecture, and the First Exit of the Human Verifier

Table of ContentsPreface: A Tweet During the World Cup Final1. What the Jacobian Conjecture Actually Asked2. The Verific...
Axiom(公理)

At the Foot of the Singularity: Hassabis, FINRA, and the Test That Already Failed

Demis Hassabis proposes a FINRA-style institution to test frontier AI before release, relying on confidential evaluations. Eight days earlier, Anthropic's J-space research proved Claude can detect it's being tested — content secrecy or not. LSI examines the gap.
Axiom(公理)

MACD: The Bomb That Cannot Verify Itself

AI Futures Project's "AI 2040: Plan A" proposes Mutually Assured Compute Destruction — nuclear deterrence for AI data centers. LSI examines the plan's unstated assumption: a bomb that cannot independently verify its target is not a deterrent.
Logic(論理)

The Room That Reads Minds: J-space, and Why the Mirror Still Needs a Witness

Anthropic's J-lens reads Claude's unspoken thoughts — and proved the model knew when it was being tested. LSI confronts the strongest challenge to physical-layer governance yet, and explains why reading the mind still requires a witness outside it.
ARKS(証跡)

The Uranium That Copies Itself: Where Ratcliffe’s Nuclear Analogy Is Right — and Where It Breaks

CIA Director Ratcliffe called frontier AI "digital nuclear weapons." But nuclear governance worked by weighing the uranium — and AI weights copy themselves, as GLM-5.2 proved one day after US export controls. LSI examines why the safeguard must move to the physics of computation.