Scenario Entry · Public Landing Page

Why AI 2027 Still Fails
Without a Human-State Variable

AI 2027이 먼저 보여준 것은 파국의 속도였습니다.
이 문서군이 붙드는 것은 그보다 먼저 시작되는 인간의 변화입니다.

A public landing page for the AI 2027 response scenario family

이 페이지의 일은 하나입니다. 이 문서군이 무엇인지, 왜 여러 버전으로 갈라져 있는지, 그리고 지금 어떤 페이지로 들어가는 것이 가장 맞는지 빠르게 보여주는 것입니다.

먼저 읽고 싶다면 각 언어판으로 가시면 됩니다. DOI와 버전 구조를 먼저 정리해서 보고 싶다면 이 페이지가 가장 빠른 입구입니다. 연구자·엔지니어·채용 후보라면 하단의 research / builder route에서 Sal-Meter Core와 Human-State AI 경로로 이동하면 됩니다.

Scenario family Human-state variable Relational consequence AI governance entry Research / builder route
원문 흐름을 먼저 보고 싶다면 Read Hub로, 이 문서군의 구조와 DOI 체계를 한 번에 정리하고 싶다면 여기서 시작하시면 됩니다.

Why the versions are split

이 문서군은 하나의 글을 언어만 바꿔 놓은 구조가 아닙니다. 서로 다른 독자와 목적을 위해 기능이 나뉘어 있습니다.

Korean Web Edition: 한국어로 가장 깊게 읽히는 드라마틱 버전
English Dramatic: 링크 공유와 확산에 가장 강한 영문 버전
English Canonical: 인용과 비교, 연구와 보도를 위한 영문 기준점

Why there are multiple DOI anchors

DOI가 여러 개인 이유도 같습니다. 한국어 드라마틱 공공 시나리오 에세이는 독립 기록으로 존재하고, 영문 정본 response paper 역시 별도 DOI 체계로 고정됩니다. 영문 드라마틱 버전도 별도 DOI를 가집니다.

즉, 이 페이지는 정본 자체가 아니라 문서군 전체를 안내하는 landing surface입니다.

The first failure is quieter.
It happens before we can name it.

What this page answers

What this page answers

Question 01

Which version should I read first?

If you want narrative pressure, read the Korean or English dramatic edition first. If you want citation-ready argument, read the English canonical version.

Question 02

Where is the stable DOI record?

The Korean dramatic, English dramatic, and English canonical papers each have their own DOI anchors. This page collects those routes in one place.

Question 03

Where do researchers and engineers go next?

Move from this public scenario family into Sal-Meter Core, Human-State AI, For PIs, Status, or the proxy-benchmark-track GitHub helper route.

Document family map

The AI 2027 response scenario family

Korean dramatic

AI 2027은 틀리지 않았다

한국어로 가장 강하게 읽히는 public dramatic edition입니다. 장면, 정서, 문명적 선택의 압력을 먼저 열어 줍니다.

English dramatic

AI 2027 Was Not Wrong

The share-first English dramatic edition. It makes the failure legible through scenes before turning to the governance thesis.

English canonical

Why AI 2027 Still Fails

The citation-ready English canonical response paper. Use this when you need stable thesis language, formal comparison, or research citation.

Core thesis

The missing variable is the human-state variable

What AI 2027 showed

AI 2027 dramatized the speed of technical disruption. It made the acceleration visible.

But speed alone does not reveal the human condition left behind by accelerated systems.

What this response adds

This response adds the missing layer: the measurable condition of human attention, judgment, relation, stress, coherence, and breakdown.

A system can pass audits and still degrade the human field it acts upon.

This page does not claim that CAIS or Sal-Meter is already a validated commercial device. It does not make diagnostic, therapeutic, clinical, certification, or compliance claims. It is a public routing layer for a scenario family and its research consequences.
Research / builder route

After the scenario: where researchers, engineers, and candidates should go

This landing page opens the public problem. The research path begins only after the boundary is clear. The Sal-Meter core track and the Human-State-Aware AI proxy benchmark track must not be confused.

Core signal track

Sal-Meter Core Track

The core track asks whether a new molecular–electrochemical signal interface can exist. External Layer-0, G-only / I-only kernel locking, Twin Mini-Cell, Phase 2b, LOCK 1, and LOCK 2 belong here.

  • External Layer-0 iodine redox / thiol feasibility
  • SICS Internal Phase 0 and Phase 1
  • Evidence discipline, repeatability, and lock review
Proxy benchmark track

Human-State-Aware AI Interaction

The proxy benchmark track builds synchronized multimodal benchmark infrastructure using existing signals: ECG, HRV, EDA, PPG, EEG, eye / gaze, behavioral timing, metadata discipline, and leakage-safe evaluation.

  • Biosignal / edge engineering
  • ML / dataset engineering
  • Human-session operations
Technical helper

Proxy Benchmark GitHub

The public repository should be used for schemas, synthetic examples, notebooks, dashboard drafts, issue templates, and reproducibility checklists. It must not host raw human data or imply canonical authority.

  • Sample / synthetic data only
  • No raw human biosignal data
  • No CAIS compliance or Sal-Meter certification claim
Boundary: proxy benchmark signals do not become Sal-Meter by being synchronized. Human-State-Aware AI Interaction is a research-stage, non-diagnostic, non-therapeutic, non-clinical benchmark support track. GitHub helper materials are not canonical authority.
Suggested reading order

Suggested reading order

For public readers

Start with the Korean or English dramatic edition. Then move to the canonical English page or the Korean structural summary.

For researchers

Start with the English canonical response. Then read the Entry Paper and the technical / PI route.

For engineers and builders

Start with Human-State AI or Technical Snapshot depending on whether you are building proxy infrastructure or core signal architecture.

DOI anchors

DOI anchors and record identity

Korean dramatic record

Version DOI: 10.5281/zenodo.19552800

Use for the Korean public dramatic scenario essay.

English canonical record

Version DOI: 10.5281/zenodo.19522503
Concept DOI: 10.5281/zenodo.19522502

Use for citation-ready English thesis reference.

Final boundary

Final boundary

This page is a public landing surface for the AI 2027 response scenario family. It helps readers choose the right version, trace the DOI records, and move into the research path.

It does not redefine Sal-Meter, CAIS, OE / RE / EE, VCE / CRI / CFI, or any compliance boundary. It does not announce that broad external Sal-Meter participation is already open.

The Human-State-Aware AI Interaction page and proxy-benchmark-track GitHub repository are proxy benchmark support surfaces only. They do not replace the Sal-Meter core signal track, do not grant CAIS compliance, do not grant Sal-Meter designation, and do not create diagnostic, therapeutic, clinical, certified-device, or canonical-authority claims.