Système Mondial de Prévoyance (Prévision)
Découvrez des insights précis et exploitables avant qu'ils ne se produisent
Notre objectif
Le Système de Prévision Mondiale (GFS) est conçu pour analyser et prédire les événements mondiaux en utilisant des algorithmes d'apprentissage automatique avancés et l'intégration de données provenant de diverses sources. Il couvre trois domaines principaux d'application.Présentation
Podcast sur le projet
Podcast sur le projet
Prévision sociale:
Description:
Analyse le sentiment public et le comportement humain pour identifier les tendances sociales et prédire les changements dans la société.
Méthodes:
Utilisation des données provenant des réseaux sociaux, des enquêtes et des sources d'actualités pour analyser l'opinion publique et le sentiment.
Applications:
Prévisions des mouvements sociaux, des changements dans le sentiment public, identification des facteurs clés influençant le comportement public.

Prévision géopolitique:
Description:
Prédit les changements dans les forces politiques mondiales et les conflits internationaux sur la base de l'analyse des événements politiques et des relations internationales.
Méthodes:
Collecte et analyse des données provenant de rapports gouvernementaux, des nouvelles et des médias sociaux, application de modèles causaux pour identifier les changements politiques potentiels.
Applications:
Aide à développer des stratégies politiques, à gérer des crises, à prédire des conflits internationaux et des changements dans la dynamique politique.

Prévision économique:
Description:
Analyse les données économiques pour prédire les tendances macroéconomiques et développer des stratégies d'investissement.
Méthodes:
Cela implique l'utilisation de données provenant des marchés financiers, des rapports économiques et des nouvelles, et l'application de modèles économétriques et d'analyses de séries chronologiques.
Applications:
Prévisions des fluctuations du marché, développement de stratégies d'investissement, évaluation de l'impact des événements économiques sur l'économie mondiale.

Model Architecture & Capabilities
Multi-Pass Analysis Pipeline
The GFS Model uses a sophisticated 4-pass analysis pipeline to extract events, classify spheres, map economic sectors, and analyze news impact. Each pass uses specialized LLM models optimized for specific tasks.
Core Capabilities
- Event Extraction (Pass 1) - Identifies up to 3 real-world events from dream narratives
- Sphere Classification (Pass 2) - Categorizes events into economic, social, or geopolitical spheres
- Economic Mapping (Pass 3) - Maps events to specific industries using NAICS taxonomy
- Prediction Verification (Pass 5) - Verifies predictions against real-world evidence using temporal windows
- Similar Dreams Search - Vector-based semantic search to find related dreams
- News Analysis (Pass 4) - Analyzes news impact on financial markets
API Modes
Full Analysis
Complete 4-pass analysis with event extraction, sphere classification, economic mapping, and news analysis
Quick Events
Fast event extraction (Pass 1 only) - ideal for batch processing and testing
Prediction Verification
Temporal verification of predictions using GDELT, Google CSE, and government sources
Similar Dreams
Find semantically similar dreams using FAISS vector search
Performance Metrics

Figure 3. Describes the processes of obtaining biological data. And using of AI to forecast events
GFS Timeline
GFS Model has evolved through multiple releases, each adding new capabilities and improving accuracy. Here's our journey:
27.08.2018
US Copyright TXu002114560 — Global Foresight System
Registration with the US Library of Congress. First certificate for the Global Foresight System.
2025
Patent application KZ 2025/1096.1 — GFS
Patent application for the Global Foresight System filed in Kazakhstan.
2023
Banchenko-Market: Blockchain Science Financing
Article on blockchain-based financing for fundamental scientific research, published in Moscow Economic Journal (VAK).
07.2024
First GFS Research Article
Forecasting Social, Geopolitical and Economic Events — Japan Journal of Research.
01.2025
GMS/GFS Whitepaper
Technological Transformations — GMS/GFS — Journal of Investment Banking and Finance.
19.07.2026
Hyperfield Research Article
Study on hyperbolic field effects (plasma / yeast / plants) published on asrp.science.
19.12.2021
Eurasian Cooperation for Baikonur Restoration
GFS prediction: Eurasian cooperation initiative for the restoration of the Baikonur Cosmodrome.
29.12.2021
Cognitive Degradation / Civilizational Turbulence
GFS prediction regarding cognitive degradation trends and civilizational turbulence.
30.12.2021
Atypical Trade-Technological Exchange (Grey Import)
GFS predicted non-standard trade-technological exchange patterns.
25.04.2022
Linguistic Transformation of Kazakh Youth
GFS prediction on linguistic and cultural transformation trends among Kazakh youth.
25.04.2022
Ethno-Political Tension in Kyrgyzstan
GFS predicted rising ethno-political tensions related to migrants in Kyrgyzstan.
26.05.2023
Accelerated Development of African Countries
GFS prediction on accelerated economic and social development of African nations.
26.05.2023
Mexico — Global Superpower
GFS prediction on Mexico's rise as a global superpower.
30.09.2024
Consolidation of State Power + Nuclear Energy Complex
GFS prediction on US consolidation of state authority and nuclear energy complex.
30.09.2024
Political Fragmentation of Germany
GFS prediction on political and administrative fragmentation of Germany.
30.09.2024
Global Conflict + US Chronotechnology
GFS prediction on global conflict dynamics and US chronotechnology development.
30.09.2024
Reactivation of Energia-Buran
GFS prediction on the reactivation of the Energia-Buran space program.
30.09.2024
Limited Nuclear Use in Europe
GFS prediction scenario of limited nuclear weapon use in European theater.
30.09.2024
Contact with Exogenic Civilization
GFS prediction scenario involving contact with an extraterrestrial civilization.
08.09.2025
First MVP: Dream → Economy Pipeline
Initial minimum viable product establishing the core dream-to-economic-analysis pipeline.
10.09.2025
First External Data Source + CI/CD
Integration of NewsAPI as first external data source. CI/CD pipeline established.
12.10.2025
Production Architecture: FastAPI + Data Collection
Production-grade FastAPI architecture. Open-source data collection started (GDELT, Google CSE). Evidence pipeline launched.
14.10.2025
Release v1 — API Contracts
First stable API contract release defining all system interfaces.
03–09.11.2025
Causal Engine + Full Verification Pipeline
Causal reasoning engine implemented. Full prediction verification pipeline with GDELT scoring operational.
24.11.2025
v3.0 — Social Media, SearXNG, Government Tenders
Major release: YouTube, Reddit integration. SearXNG search. Government tender data (FPDS/TED).
17.12.2025
Integration with Polymarket
Polymarket integration: Gamma API + CLOB + betting API.
29.12.2025
Market Scanner
Market scanner with trading strategies, risk-control module, and paper-trading mode.
10.01.2026
v3.1 — Multi-LLM + Cost Tracking
Multiple LLM support (Anthropic Claude). Cost tracking and optimization.
17.01.2026
Backtest: Polymarket + MediaCloud
Backtesting framework for Polymarket strategies and MediaCloud data integration.
20.03.2026
MCP Servers (Python + TypeScript)
Model Context Protocol servers in Python and TypeScript with 71 instruments. System can be invoked by AI agents.
22.03.2026
MCP Split + API Domain
MCP split into public/admin domains. API domain: globalforecastingsystem.store.
07–11.09.2025
Theta EuroCon Hackathon (Berlin)
Working prototype built in 5 days. Presentation on 11.09.2025 at the Theta Network European Conference & Hackathon.
2025
AstanaHub / Digital Bridge 2025
Application submitted for the Industry 4.0 Pitch Battle at AstanaHub, Digital Bridge 2025 forum. Selection not passed.
17–18.07.2026
IONS Application (Institute of Noetic Sciences)
Application submitted to the Institute of Noetic Sciences for research collaboration.
19.07.2026
NCI SBIR Submission — FY2027 Concept Award
NCI SBIR application submitted: 'ASRP Hyperbolic Field Platform for Rare Cancer Therapy'. Status: Success (ecps.nih.gov).
до 07.08.2026
Techstars Founder Catalyst Alabama
Deadline for Techstars Founder Catalyst Alabama accelerator application: 07.08.2026.
Try the Model
Test the GFS Model directly from your browser. Choose a mode, enter your dream text or prediction, and see real-time results.
Select Demo Mode

Figure 3. Describes the processes of obtaining biological data. And using of AI to forecast events
Les récentes découvertes révolutionnaires confirment la nature quantique de la conscience,
qui est basée sur la connexion entre la structure biologique et physique des systèmes vivants et non vivants.
Le développement de la technologie mène inévitablement à une compréhension qualitativement nouvelle de la formation des séquences d'événements et à un réexamen de la logique des relations de cause à effet.
Horizon des Événements GFS : Résultats Vérifiés et Prévisions à Venir
Dossier du Système Global de Prévision : Prédictions Validées et Prévisions Futures Clés
| # | Prédiction | Date de Prédiction | Catégorie | Détails |
|---|
Curateurs du projet
Rencontrez les experts qui mènent notre projet vers le succès
Contactez notre équipe
Envoyez-nous un message pour commencer la conversation





