Forget Neural Nets—Axiom Wants to Build Digital Brains
Forget Neural Nets—Axiom Wants to Build Digital Brains
Large language models talk a good game, but they can’t think on their feet, this new AI architecture might finally teach machines to act like they mean it.
Forget brute-force learning. Axiom, a new AI system from Verse AI, mimics how real brains predict the world. Unlike deep reinforcement learning, which requires countless iterations, Axiom learns fast by fusing prior knowledge with real-time updates using a principle called "active inference."
It’s built on Karl Friston’s free energy theory, which suggests intelligence is about minimizing surprise through continuous prediction. That’s how Axiom outperforms traditional AI in mastering games like Drive, Hunt, and Bounce, using a fraction of the data and compute.
It’s not just about video games. CEO Gabe René claims Axiom could be the future of real-time, efficient, agentic AI, already being tested by a finance firm for market modeling. What’s compelling is the architectural shift: a digital brain, not a scaled-up mimic of one.
As François Chollet puts it, we need more bold detours from the LLM arms race. Axiom could be that. A few standout signals from this emerging path:
- Active inference merges cognition with action, not just pattern recognition.
- Smaller models mean less energy, more flexibility.
- Brain-inspired designs may edge closer to AGI than massive chatbots.
Axiom’s story reminds us that progress doesn’t always come from scaling. It can emerge from reimagining first principles. If we want machines that adapt like humans, should we be scaling transformers, or rethinking intelligence altogether?
Read the full article on Wired.
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Frequently asked questions
What is Axiom in AI?
Axiom is a new AI system from Verse AI that mimics how real brains predict the world. Rather than relying on brute-force learning like deep reinforcement learning, it fuses prior knowledge with real-time updates using active inference, allowing it to learn quickly and act more like a digital brain than a scaled-up mimic of one.
Link to this questionHow does active inference work in Axiom?
Active inference is built on Karl Friston's free energy theory, which suggests intelligence involves minimizing surprise through continuous prediction. In Axiom, this principle merges cognition with action rather than just pattern recognition, letting the system predict and adapt to its environment efficiently instead of requiring countless training iterations like traditional reinforcement learning.
Link to this questionWhy does Axiom outperform traditional AI in games?
Axiom outperforms traditional AI in mastering games like Drive, Hunt, and Bounce because it uses active inference to learn fast with far less data and compute than deep reinforcement learning requires. Its brain-inspired architecture allows it to fuse prior knowledge with real-time updates instead of relying on brute-force, iteration-heavy training methods.
Link to this questionWhat real-world use does Axiom have beyond games?
Axiom's CEO Gabe René claims it could become the foundation for real-time, efficient, agentic AI. It is already being tested by a finance firm for market modeling, suggesting its brain-inspired, active inference approach may have practical applications well beyond mastering video games.
Link to this question💡 We're entering a world where intelligence is synthetic, reality is augmented, and the rules are being rewritten in front of our eyes.
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Dr. Mark van Rijmenam
Dr. Mark van Rijmenam is The Digital Speaker, a world-leading futurist and global AI keynote speaker who helps leaders decide what AI, and the technologies that follow it, mean for their business. He speaks to leadership teams at their retreats and to conference audiences worldwide, and his WAVE framework gives them a way of deciding that they keep using long after he has left the room. His Intelligence Age Scorecard measures how ready an organization is across the four WAVE pillars.
He holds a PhD from the University of Technology Sydney, is a Certified Speaking Professional and Global Speaking Fellow, and ranks among the world’s top futurists on the Global Gurus list (#1 in 2025, #3 in 2026). Salesforce named him one of its 16 leading AI voices. He has written six books, most recently Now What? How to Ride the Tsunami of Change, writes the Synthetic Minds newsletter on Substack, and founded Futurwise. Talk to his digital twin on WhatsApp: +1 (830) 463-6967.
