AI frontier AIfrontier
Sign Hackathon

NASA Space Apps Challenge Sapporo 2026

Saturday, November 14, 2026 · one of the world's largest global hackathons — in preparation

Event details Official site

2026: Redefining
AI Infrastructure

Energy × Computing × Economy
The Trinity Stack for a New World

AI Infrastructure as National Strategy

In 2026, the world has entered a new era of competition for "AI Infrastructure Sovereignty." Only nations that can independently control computing resources, energy supply, and talent development will lead the next industrial revolution.

However, Japan now faces a serious crisis of becoming an "AI-dependent nation." GPU clusters dependent on foreign countries, soaring electricity costs, and the continuous outflow of talented personnel.

AI Infrastructure Trinity tackles this crisis head-on, building Japan's autonomous AI infrastructure to reconstruct national competitiveness.

The Trinity Stack

Vertical Integration Strategy

Trinity Synergy Effects

f : B → A g : A → C h : B → C h = g ∘ f object A LENR Physical Layer object B Sign Logical Layer object C Intellect Capitalism Social Layer

A = physical layer

B = logical layer

C = social layer

⚡

LENR Energy

Revolutionary energy source through Low Energy Nuclear Reactions. Ultra-low-cost power generation targeting ¥1/kWh, fundamentally solving AI infrastructure power issues.

  • ✓ Safe energy generation via solid-state nuclear reactions
  • ✓ Distributed power source implementation
  • ✓ On-site power for data centers
🛡️

Sign & DPL Chip

Next-generation security for the AI agent era, countering zero-click attacks. Vertical integration from language to hardware.

  • ✓ Structured, secure language system
  • ✓ Hardware guarantees via DPL chip
  • ✓ Safe execution environment for AI agents
🧠

Intellect-Capitalism

Building a new economic sphere centered on intellectual capital. Virtuous cycle of talent development and value creation.

  • ✓ Visualizing and valuing individual intellectual contributions
  • ✓ Wealth redistribution through token economy
  • ✓ Formation of global talent networks
Learn More →

Deep Dive: Technical Details

LENR Technology Feasibility

Low Energy Nuclear Reactions (LENR) differs from conventional high-temperature fusion, controlling nuclear reactions at room temperature and pressure.

Demonstrated Results

  • • 750-hour continuous operation (independently verified)
  • • COP 4.0+ output ratio
  • • US ARPA-E awarded $10M total to eight hypothesis-testing research projects
Learn More →

Sign Language Architecture

A new programming language with security built in at the language level to counter zero-click attacks in the AI agent era.

Key Features

  • • No reserved words: Meta-language level freedom
  • • Category theory-based: Mathematically guaranteed correctness
  • • Zero-cost abstraction
  • • Vertical integration with DPL chip
Learn More →

The Intellect-Capitalism Economy

Designing the social layer around intellectual capital: visualizing and valuing individual contributions, a token economy, and global talent networks.

Framework under study

  • • Visualizing and valuing intellectual contributions
  • • Token design for wealth redistribution
  • • Borderless talent networks
Learn More →

Partners

LiveX AI

LiveX AI

Partner

Human-like AI agent platform spanning digital and physical worlds. Powers customer engagement across all touchpoints including web, apps, voice, QR, kiosks, and holograms. Backed by Google Cloud and NVIDIA, revolutionizing enterprise CX.

AI Agents Omnichannel Enterprise CX Optimization
Visit Website

AI NEWSROOM

AI News

The homepage now uses a parent-and-children structure: start with the China AI hub for the full map, then move into the four child reads on the open-weight debate, Kimi's rollout strategy, the distillation-attack explainer, and the Navier-Stokes solve. A Latest LLM Watch panel below tracks frontier-model news — pricing, benchmarks, and open weights — as it lands.

Decision AI

Calibration in the Decision-Model Era

High confidence is not calibrated probability. Sign maps uncertainty into risk gates, abstention and human review.

Model Race

Local LLMs, Cloud LLMs, Jev and Laya — AI moves from "how smart" to "where it sits"

Cloud price wars, open models that finally run locally, and a third layer that returns typed judgments instead of text.

 View all news
Parent / China AI Penetration Hub

China AI hub

This is now the parent read on the homepage: one page that reconnects DoorDash, DeepSeek, Kimi, and the distillation / defense-reuse story into a single map before readers branch into narrower debates.

The goal is to make the reading path intuitive even as the series grows. Rather than forcing readers to infer the structure from separate headlines, the front page now makes the hub the top-level frame.

Open the hub Browse the index
What the hub coversFocus Map

Adoption

DoorDash and Kimi explain how Chinese models first enter through practical workloads.

Pricing and workflow pressure

DeepSeek and OpenAI show how competition is shifting toward usage cost and compatibility.

Distribution and capability transfer

Kimi K3, open-weight policy, and distillation / security questions are connected as one arc.

Child 01Open Weight

The open-weight debate

A clearer framing of the split between diffusion advocates and tighter frontier-model control.
Child 02Strategy

Kimi's rollout strategy

Why Kimi K3 matters not only for scale, but also for how it is distributed and positioned.
Child 03Security

The distillation-attack explainer

A baseline explanation of the difference between legitimate distillation and illicit capability extraction.
Child 04Math × AI

Cracking a Millennium Problem

OpenAI says 10,000 AI agents solved the Navier-Stokes problem in 88 hours; GPT-6 Astra verified it in about 17.
Latest LLM Watch

Latest LLM news as of October 6, 2026

Prices in USD per million tokens (input / output). Updated continuously from public sources.

OpenAIOct 16, 2026

GPT-6 Astra / 6.1 Sol / 6 Luna

$10 / $50 (1.05M context; $20 / $75 above 272K input). GPT-6.1 Sol is $2 / $10 ($4 / $15 long-context) and lightweight Luna is $0.10 / $0.50. GPT-5.6 Sol's $4 / $20 is promotional through Nov 21, 2026. Astra Ultrafast tops out at $60 / $300.

AnthropicOct 16, 2026

Claude Opus 5.5 / Sonnet 5.5 / Haiku 5.5

$4 / $20, $2 / $10 and $10 / $50. On the Artificial Analysis Intelligence Index v4.3.2, Opus 5.5 scores 58, Sonnet 5.5 scores 56 and Fable 5.1 scores 53. Haiku 5.5 (Oct 7) is $0.10 / $0.50 (5× above 100K tokens), on average 75% cheaper than Haiku 4.5.

GoogleOct 16, 2026

Gemini 4 Argon / 3.8 Flash

Gemini 4 Argon became generally available on Oct 13. Introductory $2 / $10 runs through Nov 30, then $4 / $20 from Dec 1. Up to 1M output tokens per response. 3.8 Flash is $0.75 / $3.75 through the end of 2026, then $1.50 / $7.50 from Jan 1, 2027.

xAIOct 16, 2026

Grok 4.7

$2 / $6 ($4 / $12 above 200K tokens) with a 500K-token context. 4.8 remains unreleased.

Moonshot AIOct 16, 2026

Kimi K3

$3 / $15, 1.05M context — still the reference point for open weights (Modified MIT).

MetaOct 16, 2026

Muse Wonder / Muse Spark 1.3

$1.25 / $4.25. The Contributor tier is $0.10 / $0.20 with different data-use terms. Aimed at long agent workflows with video input.

Open WeightOct 16, 2026

GLM-5.3 / Mistral Large 4 / MiMo-V2.6 / Qwen3.8

GLM-5.3 ($1.40 / $4.40), GLM-5.3-Flash (320B, open weights, $0.15 / $0.50), Mistral Large 4 (1T, preview; weights due end of October), MiMo-V2.6-Pro (Xiaomi, MIT, $0.43 / $0.87), MiMo-V2.6-Flash ($0.14 / $0.28), DeepSeek V4.1 Flash-1017 (updated Oct 17; peak $0.30 / $1.20, off-peak $0.15 / $0.60; DeepSWE v1.1 77.0), Qwen3.8-Flash-Next ($0.15 / $0.47). Qwen 4 remains unreleased as of Oct 16.

Cost leadersOct 16, 2026

Where the cheapest tiers stand

The absolute cheapest is Perplexity Decider v1.1 27B at $0.02 / $0.00 ($17 per million tasks on the AA Decision Index). Cheapest production-grade (score 70+) is MiMo-V2.6-Pro; cheapest frontier-tier (80+) is Claude Sonnet 5.5 at $2 / $10.

Sources:LLM API Pricing (Oct 6, 2026)Technology.org (Oct 14, 2026)Anthropic Haiku 5.5TechCrunch (Oct 12, 2026)Mistral Large 4AA Decision IndexBenchLM pricing ledger (Oct 6, 2026)MindsHub model guide (Oct 1, 2026)* Prices are vendor-published or third-party aggregated as of Oct 16, 2026. Index scores use Artificial Analysis Intelligence Index v4.3.2 and are not comparable across versions.
Latest Decision Model Watch

Latest Decision Model Watch As of Oct 16, 2026

Prices in USD per million input tokens. The standard name for this category is "decision model"; TypeSafe brands the class "System One models". Updated from public sources.

TypeSafe AIAs of Oct 16, 2026

Jev (hosted API)

$0.042 per 1M input tokens, no output charge. Leads the Artificial Analysis Decision Index (Oct 13) at 58. Roughly 1.05 billion requests routed through OpenRouter as of Oct 11. The System One API takes a state plus questions (Choice / Noul / Score). The jev-latest alias still points to 1.13.0.

PerplexityAs of Oct 16, 2026

Decider v1.1 27B

Apache 2.0 open weights plus a hosted API at $0.02 per 1M input tokens, output free. The model card reports the Decision Index rising 56.4 to 61.56, "outperforming Jev by more than 3.5 points". An Oct 9 update claims 94.5% on Decision Bench at $0.017 per 1,000 decisions. Qwen3.8-27B backbone, 8,192-token input cap.

OpenAIAs of Oct 16, 2026

Decisions API (beta)

Entered beta on Oct 6, powered by GPT-6 Luna. Handles yes/no predicates, multiple-choice and numerical scoring over text and images. $0.10 per 1M input tokens, no output charge. OpenAI says it runs up to ten times faster than the same model through the Responses API.

MicrosoftAs of Oct 16, 2026

Microsoft-Decision-1

Available since Oct 9 in Microsoft Foundry and on OpenRouter. Post-trained from Qwen3.5-9B. $0.042 per 1M input tokens, matching Jev. Microsoft reports top accuracy in an internal evaluation of ~150,000 questions across 36 benchmarks and claims it is 35× faster than GPT-6 Sol. Scores 54 on the Decision Index.

CloudflareAs of Oct 16, 2026

Clef / Clef-flash / Clef-omni

Clef and Clef-flash shipped Oct 1 as open-weight models in the Workers AI ecosystem. Clef-omni followed on Oct 9, adding audio and video input and up to 2× faster inference. Clef-flash costs $0.038 per 1M input tokens, cut from $0.09 on Oct 9.

Open weightsAs of Oct 16, 2026

d1 / Kev / Laya / Tev1 and more

Liquid AI released d1-3B and d1-omni-600M on Oct 7 for local and edge deployment (hosted d1 is $0.04). Kev spans 0.8B to 27B under Apache 2.0 with a Jev-compatible API. Laya (Convai) uses 421M and 322M encoders across 100+ languages. Also public: GLiNER2.5-Decide (Fastino, Apache 2.0), Tev1-4B (Together, $0.042) and Strands Decider.

Third-party benchmarksAs of Oct 16, 2026

Two indexes, not one

On the Artificial Analysis Decision Index (Oct 13), Jev 1.13 leads at 58 with GLiDE and Microsoft-Decision-1 at 54. The community-run Decision Index 0.3.2, covering 160 models, instead puts vLLM-SR d3 first at 66.26, GLiDE’s no-thinking variant at 60.21 and Jev 1.13.0 at 60.11. The two indexes are not interchangeable.

Where to use themAs of Oct 16, 2026

Routine decisions belong here

Input pricing runs from $0.02 (Decider) to $0.10 (OpenAI Decisions API); Jev, Microsoft and Tev1 sit at $0.042, and none of them charge for output. The sensible split is high-volume routine decisions at this layer and only the hard cases to a frontier model. New yardsticks such as Opper AI’s "Jevman" are appearing too.

出典:TypeSafe AI (System One models and Jev)Perplexity (pplx-decider-v1.1-27b model card)Cloudflare (Clef decision models)Forbes (Oct 12, the decision-model landscape)Artificial Analysis Decision IndexFastino (decision models explained / community index)* Prices are vendor-published or reported by third parties as of Oct 16, 2026. "Beats Jev" figures are vendor claims, with limited independent replication.
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Build the Future Together

AI Infrastructure Trinity is seeking partners committed to building Japan's autonomous AI infrastructure. We welcome inquiries from research institutions, corporations, and investors.

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