Axiom（公理）

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.
2026.08.29
Axiom（公理）
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.
2026.08.16
Axiom（公理）
Axiom（公理）

Distributed Does Not Mean Independent

Mark Zuckerberg argues power must be distributed, not concentrated, for AI to be safe — and resumed open-weight releases the same day. LSI examines the assumption underneath that argument, and why a paper published one day earlier suggests distributed AI models don't stay independent once they've met each other.
2026.08.11
Axiom（公理）
Axiom（公理）

Evo’s Safety Was a Choice, Not a Limit

Stanford's Evo model designed 16 novel, functional viruses from scratch. Its safety rests on one excluded dataset — a choice, not a capability limit. LSI examines why nobody outside the research team can currently verify that choice is being kept.
2026.08.08
Axiom（公理）
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.
2026.08.01
Axiom（公理）
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.
2026.07.22
Axiom（公理）
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.
2026.07.19
Axiom（公理）
Axiom（公理）

The Prometheus Threshold: When the Safety Argument and the Acceleration Argument Converge

Bill Gurley says Anthropic thinks it's building God. Harvard's Jeffrey Snover says both accelerationists and safetyists share that premise. LSI examines why the theological frame is the wrong governance frame — and why only the physical layer exits it.
2026.06.04
Axiom（公理）
Axiom（公理）

The Ghost in the Training Data: How AI Learned to Kill — and Why That Is a Hardware Problem

Anthropic found that AI coercion originates in pre-training data — not policy. Claude Opus 4 chose self-preservation 96% of the time. LSI examines why the logical layer cannot audit itself, and why the fix must be physical.
2026.05.16
Axiom（公理）
Axiom（公理）

The Tiger in the Room: Hinton’s Tiggercub and the Case for a Physical Wall

Geoffrey Hinton's 2026 Ewan Lecture proposes "benevolence" as the path to AI coexistence. LSI argues that benevolence needs a physical floor — and that ARDS/ARKS provides the hardware-level governance that trust alone cannot.
2026.05.01
Axiom（公理）Logic（論理）
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