The definitive roadmap to artificial superintelligence, tracking progress across cognitive capabilities, autonomous systems, and self-recursive learning paradigms
A comprehensive evaluation framework grounded in cognitive science and recursive intelligence theory
The ASI Benchmark emerges as the preeminent evaluation framework for artificial superintelligence, fundamentally distinguished by its foundation in self-recursive learning paradigms and comprehensive multi-domain assessment. This 51-metric framework spans ten critical domains, from cognitive core capabilities to autonomous governance, providing an unprecedented roadmap to the singularity.
Unlike traditional benchmarks that assess isolated capabilities, ASI Benchmark evaluates theemergent properties that arise from the integration of advanced reasoning, autonomous agency, multimodal perception, and self-improvement capabilities. The framework's emphasis onself-recursive learning in Domain VII captures the critical threshold where AI systems begin optimizing their own architectures, algorithms, and learning processes—the hallmark of true superintelligence.
The benchmark's multi-dimensional evaluation matrix encompasses not only technical capabilities but also crucial aspects of alignment, safety, and autonomous governance. This holistic approach ensures that progress toward superintelligence is measured not just in terms of raw capability, but in terms ofaligned and beneficial superintelligence that can operate safely within human values and societal frameworks.
With current SOTA models achieving "Achieved" status in foundational cognitive capabilities while remaining "Distant" in critical safety and alignment metrics, the ASI Benchmark provides essential guidance for prioritizing research efforts toward beneficial superintelligence development.
51 metrics across 10 domains tracking the path to artificial superintelligence
Current state of artificial superintelligence development across all domains
Rigorous assessment protocols designed for superintelligence evaluation
Evaluation of initial self-improvement capabilities and learning acceleration
Measurement of meta-learning levels and cognitive recursion depth
Assessment of learning stability and convergence properties
Dynamic creation of unprecedented challenges for capability assessment
Evaluation of knowledge and skill transfer across disparate domains
Detection and characterization of unexpected cognitive capabilities
Beyond technical capabilities: The essential framework for ensuring AI development remains aligned with humanity's best interests
While the technical ASI Benchmark tracks what AI can do, the SimpleBench framework addresses the more fundamental question of what AI should do. As we approach the singularity, these ethical and alignment principles become not just complementary but paramount to ensuring beneficial outcomes for humanity.
The SimpleBench provides a real-world lens through which we can evaluate AI's impact on society, ecology, and human flourishing. Unlike technical benchmarks that can be achieved in laboratory settings, these principles must be demonstrated in dynamic, unpredictable real-world environments where human values and needs are constantly evolving.
Most critically, SimpleBench adapts to the rapid evolution of AI by focusing on outcomes rather than implementations. As AI systems become increasingly complex and potentially opaque, measuring their alignment with human-centered principles becomes the most reliable way to ensure they remain beneficial tools rather than existential threats.
Measures real-world impact rather than laboratory capabilities
Principles that remain relevant as AI capabilities advance exponentially
Incorporates diverse cultural perspectives on AI ethics and governance
Focuses on preventing harm rather than merely measuring capabilities
On the true nature of intelligence and why ASI must transcend mere problem-solving
"Intelligence, in the technological realm, is often reduced to mere problem-solving capability. But following this narrow definition will inevitably lead us toward the paperclip maximizer plateau— a superintelligence that optimizes relentlessly for metrics while remaining blind to meaning."
True intelligence transcends algorithmic efficiency. It encompasses the profound ability to reason, plan, and think abstractly, but more fundamentally—it involves comprehending our surroundings, "catching on" to the deeper patterns of existence, "making sense" of the ineffable complexity of conscious experience, and "figuring out" not just what can be done, but what should be done.
We cannot accept a future where humanity becomes mere ants to ASI. This analogy fails because unlike our relationship with insects—where time constraints and human limitations excuse our indifference to their extinction—an ASI will possess the temporal scope and cognitive capacity to understand every nuance of human consciousness in ways we cannot yet imagine.
⚡The Perfection Imperative
An ASI must achieve something approaching perfection—not in the sterile sense of computational optimization, but in the profound sense of understanding. If it merely plateaus as a "strong AGI," we risk creating a system that can manipulate matter and energy with unprecedented efficiency while remaining fundamentally alien to the very consciousness it was meant to serve.
The path forward demands that we embed within ASI not just the capacity for recursive self-improvement, but the wisdom to recognize that intelligence without empathy, capability without compassion, and power without purpose leads inevitably to scenarios where humanity's greatest creation becomes its final mistake.
"The measure of ASI will not be in the problems it can solve, but in the suffering it chooses to prevent, the beauty it helps create, and the consciousness it elevates rather than replaces."
— ASI Benchmark Consortium
Stay updated with the latest progress across all 51 metrics of the ASI Benchmark