Search engines dominate information retrieval, but iAsk AI is redefining what’s possible. In a groundbreaking achievement on the GPQA Diamond benchmark, iAsk AI’s advanced model, iAsk Pro, has set new records in accuracy for complex, graduate-level scientific problem-solving. This isn’t just a technical milestone — it’s a reimagining of how AI can understand, process, and answer challenging questions with human-like depth and precision.

What is the GPQA Benchmark?

GPQA (Graduate-Level Google-Proof Q&A Benchmark) is one of the most rigorous tests for AI models, designed to challenge them in fields like biology, physics, and chemistry. These are not typical questions; they demand knowledge and nuanced, multi-step reasoning that can stump even PhD-level experts. Remarkably, iAsk Pro achieved a record-breaking 78.28% accuracy on the GPQA Diamond subset — comprising the benchmark’s most challenging 198 questions — outperforming leading models like OpenAI’s GPT and Anthropic’s Claude 3.5. This accomplishment sets a new standard in AI’s capacity to tackle the toughest, most intricate queries.

Unlike general benchmarks, GPQA focuses on “Google-proof” questions that resist simple answers. These questions require advanced reasoning, the kind that rivals human experts. The complexity is so high that even specialized professionals typically average around 65% accuracy. iAsk Pro’s breakthrough accuracy reflects its unique ability to mirror the depth of human cognitive processing, setting it apart in the AI landscape.

How iAsk AI Achieves Unmatched Accuracy

Unlike standard search engines that rely heavily on keyword matching, iAsk Pro’s approach goes far deeper. It uses Chain of Thought (CoT) reasoning to deconstruct intricate, multi-layered questions step by step. This method mirrors human logic, enabling iAsk Pro to deliver responses that are both highly accurate and contextually relevant. Users receive well-rounded, clear answers instead of vague references, underscoring iAsk Pro’s dedication to precision.

Unlike standard search engines that rely heavily on keyword matching, iAsk Pro’s approach goes far deeper. It uses Chain of Thought (CoT) reasoning to deconstruct intricate, multi-layered questions step by step. This method mirrors human logic, enabling iAsk Pro to deliver responses that are both highly accurate and contextually relevant. Users receive well-rounded, clear answers instead of vague references, underscoring iAsk Pro’s dedication to precision.

The GPQA benchmark was specifically designed to test AI models beyond surface-level knowledge, demanding advanced reasoning. iAsk’s choice to focus on this challenging benchmark was strategic, showcasing its capabilities in fields like academia, research, and other data-driven domains. With its high GPQA accuracy, iAsk Pro is poised to drive breakthroughs in areas that require deep scientific insight, establishing itself as an invaluable resource in advanced knowledge fields.

The Future of AI-Driven Knowledge with iAsk Pro

For professionals, academics, and anyone who values precision, iAsk Pro heralds a new era of AI-powered inquiry. Its record-breaking performance points toward a future where technology not only aids information retrieval but actively advances collective understanding. From supporting scientific discoveries to offering users a reliable source of accurate knowledge, iAsk AI is reshaping the role of search technology in our lives.

iAsk Pro’s success represents a step toward AI that can work alongside individuals as a problem-solver, capable of addressing the depth and complexity of human inquiry.

This article is published under HackerNoon’s Business Blogging program. Learn more about the program here.