ASI BENCHMARK

Research Sources & References

Research Sources & References

Comprehensive bibliography of research papers, technical reports, and institutional publications supporting the ASI Benchmark framework and analysis

50+
Research Papers
25+
Institutions
10
Research Domains

🧠 Cognitive Core & Multi-Competence

9 sources

GPT-4 Technical Report

OpenAI (2023)

Comprehensive technical documentation of GPT-4 capabilities and architecture

Access

Sparks of Artificial General Intelligence: Early experiments with GPT-4

Bubeck, S. et al. (2023)
Microsoft Research

Analysis of GPT-4's emergent capabilities and AGI potential

Access

Training Compute-Optimal Large Language Models

Hoffmann, J. et al. (2022)
DeepMind

Scaling laws and optimal training strategies for large language models

Access

Solving Quantitative Reasoning Problems with Language Models

Lewkowycz, A. et al. (2022)
Minerva (Google)

Mathematical reasoning capabilities in large language models

Access

Holistic Evaluation of Language Models

Liang, P. et al. (2022)
HELM benchmark

Comprehensive evaluation framework for language model capabilities

Access

LLaVA: Large Language and Vision Assistant

Li, X. et al. (2023)
University of Wisconsin–Madison

Multimodal language and vision understanding

Access

Whisper: Robust Speech Recognition via Large-Scale Weak Supervision

OpenAI (2022)

Advanced speech recognition and transcription capabilities

Access

Think You Have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Clark, C. et al. (2020)
Allen Institute for AI

Challenging reasoning benchmark for AI systems

Access

What Do ML Researchers Think About AI in 5, 10, 25 Years?

Grace, K. et al. (2022)
AI Expert Forecast 2022

Expert predictions on AI development timelines

Access

🤖 Agents & Functional Autonomy

7 sources

Mastering the Game of Go with Deep Neural Networks and Tree Search

Silver, D. et al. (2016)
AlphaGo (DeepMind)
Nature

Breakthrough in game-playing AI achieving superhuman Go performance

Access

Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning

Vinyals, O. et al. (2019)
AlphaStar (DeepMind)
Nature

Multi-agent coordination in complex real-time strategy games

Access

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Schrittwieser, J. et al. (2020)
MuZero (DeepMind)
Nature

Model-based reinforcement learning across multiple game domains

Access

OpenAI Five Final: Defeating the World Champions in Dota 2

OpenAI (2019)

Team-based AI coordination in complex multiplayer environments

Access

Learning Dexterity

Andrychowicz, M. et al. (2020)
Dactyl (OpenAI)

Robotic manipulation and dexterous control capabilities

Access

Waymo Fully Driverless

Waymo (2020)

Commercial deployment of autonomous vehicle technology

Access

Tesla Bot and Full Self-Driving Beta

Tesla (2023)

Autonomous systems and humanoid robotics development

Access

👁️ Multimodal Sense & Environmental Perception

5 sources

Learning Transferable Visual Models From Natural Language Supervision

Radford, A. et al. (2021)
CLIP (OpenAI)

Vision-language understanding and zero-shot image classification

Access

Hierarchical Text-Conditional Image Generation with CLIP Latents

Ramesh, A. et al. (2022)
DALL·E 2 (OpenAI)

Advanced text-to-image generation capabilities

Access

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Saharia, C. et al. (2022)
Imagen (Google)

High-quality image synthesis from natural language descriptions

Access

Flamingo: A Visual Language Model for Few-Shot Learning

Alayrac, J.-B. et al. (2022)
DeepMind

Few-shot learning in vision-language tasks

Access

Recommendation on the Ethics of Artificial Intelligence

UNESCO (2021)

Global ethical framework for AI development and deployment

Access

🎨 Creativity, Innovation & Discovery

3 sources

Competition-Level Code Generation with AlphaCode

Li, Y. et al. (2022)
AlphaCode (DeepMind)

AI system achieving competitive programming performance

Access

Highly accurate protein structure prediction with AlphaFold

Jumper, J. et al. (2021)
AlphaFold (DeepMind)
Nature

Revolutionary breakthrough in protein structure prediction

Access

AlphaDev discovers faster sorting algorithms

Mankowitz, D. J. et al. (2023)
AlphaDev (DeepMind)

AI-discovered algorithms improving fundamental computer science

Access

🧑‍🤝‍🧑 Social Interaction & Psychological Understanding

1 sources

In Theory of Mind Tests, AI Beats Humans

IEEE Spectrum (2023)

AI performance on psychological understanding benchmarks

Access

🔬 Abstract Reasoning, Metascience & Philosophy

1 sources

Constitutional AI: Harmlessness from AI Feedback

Bai, Y. et al. (2022)
Anthropic

Self-supervised approach to AI safety and alignment

Access

⚙️ Self-Improvement & AI Infrastructure

4 sources

Claude Models and Constitutional AI

Anthropic (2023)

Advanced language models with constitutional training

Access

GPT-4 System Card: Model Capabilities and Safety Considerations

OpenAI (2023)

Comprehensive safety evaluation and risk assessment

Access

Gemini Models

Google DeepMind (2023)

Multimodal AI models with advanced reasoning capabilities

Access

LLaMA 2: Open Foundation Language Models

Meta AI (2023)

Open-source foundation models for research and development

Access

🎯 Learning Efficiency & Generalization

1 sources

Foundational Models Transparency Index

Stanford HAI (2023)

Transparency assessment framework for foundation models

Access

🌍 Physical World & Complex Systems

1 sources

When Will AGI/Singularity Happen? 8,590 Predictions Analyzed

AI Multiple Research (2023)

Comprehensive analysis of AGI timeline predictions

Access

🛡️ Alignment, Safety & Autonomous Governance

5 sources

An Overview of Catastrophic AI Risks

Hendrycks, D. et al. (2023)

Comprehensive taxonomy of existential risks from AI systems

Access

How we think about safety and alignment

OpenAI (2023)

OpenAI's approach to AI safety and alignment research

Access

AGI Safety and Alignment at Google DeepMind: A Summary of Recent Work

DeepMind Safety Research (2023)

DeepMind's comprehensive approach to AI safety research

Access

Report of the High-Level Advisory Body on Artificial Intelligence

UN (2023)

United Nations framework for global AI governance

Access

Introducing Gemini: Google's most capable AI model yet

Google (2023)

Advanced multimodal AI with safety considerations

Access
Citation Information

How to Cite This Benchmark

ASI Benchmark Consortium. (2025). "ASI Benchmark: The Singularity Roadmap - June 2025 Status." Retrieved from https://asi-benchmark.org

BibTeX Entry

@misc{asi_benchmark_2025, title={ASI Benchmark: The Singularity Roadmap - June 2025 Status}, author={ASI Benchmark Consortium}, year={2025}, url={https://asi-benchmark.org}, note={Comprehensive evaluation framework for artificial superintelligence progress} }

Research Ethics Statement

All research cited in this benchmark adheres to established ethical guidelines for AI research. We acknowledge the contributions of the global AI research community and emphasize the importance of responsible AI development aligned with human values and safety considerations.