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In an eye-opening head-to-head comparison, VERSES AI’s Genius™ platform has showcased jaw-dropping performance against OpenAI’s o1-preview model in a critical reasoning demonstration. The test? Mastermind™, a classic code-breaking game requiring step-by-step logical reasoning, prediction, and adaptation. The outcome: Genius cracked the challenge with unprecedented speed, accuracy, and cost efficiency, signaling a major shift in AI’s future.
The comparison, run across 100 games of Mastermind™, revealed the stark limitations of deep learning models and the groundbreaking capabilities of Active Inference AI. Here are the key results:
These results are nothing short of revolutionary, especially when viewed through the lens of future AI development.
The Mastermind test is far more than a game — it’s a challenge that demands logical reasoning, dynamic adaptation, and cause-effect understanding. Unlike traditional LLMs (large language models) that excel at correlating patterns in massive datasets, Genius™, powered by Active Inference AI, reasons through each move, predicting outcomes and minimizing uncertainty.
Hari Thiruvengada, CTO of VERSES AI, summed it up:
This exercise demonstrates how Genius outperforms tasks requiring logical reasoning while exposing the inherent limitations of correlational, language-based approaches.”
Deep learning models like OpenAI’s o1 rely on massive data, brute-force computations, and pre-trained correlations. In contrast, Genius operates like a brain — self-organizing, adaptive, and able to learn with minimal data. It dynamically reasons through decisions, mirroring human cognition.
This demonstration is a clear signal: Active Inference AI is poised to lead the next AI revolution. As industries face increasingly complex, dynamic challenges — whether in cybersecurity, fraud detection, or real-time logistics — the need for reasoning AI will surpass generative AI models like ChatGPT.
VERSES’ Genius™ platform achieves:
This mirrors VERSES’ broader mission of combining Active Inference and the Spatial Web Protocol to deliver decentralized, context-aware AI solutions. Technologies like Genius are redefining what AI can achieve, scaling cognitive processes far beyond static deep learning models.
As outlined in previous demonstrations and VERSES research, Genius leverages Renormalizing Generative Models (RGMs), which simplify complex systems into hierarchical, cause-and-effect relationships. Unlike deep learning models that require massive labeled datasets and energy-hungry computation, RGMs:
This breakthrough shifts AI development from brute-force training to scalable reasoning — making Genius ideal for enterprise operations, smart cities, and critical real-world applications.
Genius’™ performance on Mastermind™ is just the beginning. VERSES AI is preparing to release results for the Atari 10k benchmark, a test designed to evaluate AI’s reasoning and decision-making capabilities across thousands of complex scenarios. This will further solidify Genius as the leading reasoning AI platform.
Gabriel René, CEO of VERSES, put it best:
These results highlight a critical gap in today’s AI landscape. Genius excels at tasks requiring logical reasoning, accuracy, and cost-efficiency — real-world needs that deep learning struggles to meet.”
Exactly one year ago, VERSES AI made headlines when they publicly announced a groundbreaking alternative path to Artificial General Intelligence (AGI) based on Active Inference. In a bold move, they took out a full-page ad in the New York Times, calling on OpenAI to honor their charter clause, which pledges cooperation with any project demonstrating a safe, value-aligned path to AGI.
At the time, VERSES emphasized that traditional deep learning methods had hit critical limitations — citing issues like energy inefficiency, generalization failures, and an inability to reason logically under uncertainty. VERSES presented Active Inference AI as a scalable, energy-efficient, and natural approach to AGI, grounded in the Free Energy Principle pioneered by world-renowned neuroscientist and VERSES’ Chief Scientist, Dr. Karl Friston.
One year later, VERSES has delivered on that promise, proving their position with Genius™’s stunning performance in the Mastermind challenge. These results — 100% accuracy, 140 times faster speeds, and a compute cost that is over 5,000 times cheaper — are not just a win against OpenAI’s latest model, but a resounding confirmation of VERSES’ revolutionary path forward.
As Gabriel René, CEO of VERSES, stated last December:
This isn’t just about achieving AGI. It’s about what we can achieve with it.”
In light of these results, it’s clear: VERSES is leading the next AI revolution by redefining intelligence as natural, adaptive, and sustainable, moving far beyond the limitations of traditional deep learning systems.
VERSES AI’s Genius™ has not only proven its dominance over OpenAI’s o1-preview model but has also underscored the limitations of deep learning in real-world reasoning tasks. By combining Active Inference principles with RGMs and the Spatial Web Protocol, VERSES is charting the path toward a more intelligent, scalable, and sustainable AI future.
The results from this head to head challenge are not just impressive — they signal a paradigm shift in AI. As industries adopt this new wave of cognitive computing, Genius is ready to lead the way.
For a closer look at the side by side comparison, check out the YouTube demo and the official press release on VERSES AI’s website.
The jaw-dropping results of Genius™ in this demonstration highlight a major shift in AI technology, one that will reshape industries and redefine intelligent systems. Understanding this transformation is essential for business leaders, developers, and innovators seeking to stay ahead in a rapidly changing technological landscape.
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