In a wide-ranging and thought-provoking conversation, our CEO Noel Hurley has appeared on the Project Flux podcast to discuss what could be the next big shift in artificial intelligence.
Hosted by James Garner, this latest episode follows on from Hurley's recent appearance where he discussed the future of AI with David Wood and Calum Chace.
In this new episode, Noel speaks about the journey from ARM to founding Literal Labs, how logic-based models like Tsetlin Machines are reframing what’s possible in AI, and why explainability and human context must be central to AI’s next phase.
With use cases ranging from logistics to decision intelligence, Noel offers a compelling argument for why the future of AI won’t just be about faster models—it will be about better, more trustworthy, and more productive ones.
Watch the full episode below:
Visit 'Noel Hurley explains the next big shift in artificial intelligence' to watch the video in full. It features Noel Hurley and was released 31 Oct 2025.
More speed
More energy efficient
More explainable
Literal Labs is a UK startup pioneering logic-based AI, whose Logic-Based Networks (LBNs) deliver up to 54× faster inference with around 52× less energy use than neural networks, running efficiently and sustainably on standard MCUs and CPUs without the need for GPUs.