Show HN: A header-only C++ benchmark for predictive models on raw binary streams (github.com)

A new project has been introduced within the AI/ML community: the Artificial General Intelligence Testbed (AGITB), a header-only C++ benchmark designed to evaluate predictive models on raw binary streams. This tool aims to bridge the gap toward achieving artificial general intelligence (AGI) by rigorously testing models' performance under 12 automated tests. AGITB’s design is streamlined, with no external dependencies, quick build times, and capabilities to reproduce specific test scenarios, making it a valuable resource for developers aiming to advance beyond narrow AI systems. The significance of AGITB lies in its potential to provide a stringent and transparent evaluation framework that helps differentiate superficial model behavior from genuine progress toward AGI. With its requirement for models to demonstrate a deep understanding while handling binary input effectively, it encourages developers to refine their approaches and contribute to the evolution of AI systems. The benchmark is open-source under the GPL-3.0 license, promoting collaboration and feedback among researchers to enhance the framework continuously, enrich the testing suite, and invite innovative model adaptations.