Why I'm Exploring the Architecture of Attention

My background is in civil engineering, a field that learned centuries ago that we build better structures through smarter architecture, not just more material. Suspension bridges span farther not because we found stronger stone, but because we discovered smarter ways to arrange materials, to let structure, not mass, do the work.I see a similar inflection point in AI today.The dominant approach assumes intelligence emerges from scale: more parameters, more data, more compute. But biological intelligence didn’t evolve that way, and I don’t believe artificial intelligence will, either.The brain isn’t a monolithic processor that simply grew larger. It’s a distributed system of specialized modules, each optimized for a specific task, like sensory integration, causal reasoning, or emotional valuation. The true magic lies not in raw processing, but in coordination and feedback, how these components communicate, prioritize, and adapt.That’s why I’m exploring what I call the architecture of attention: the design principles that let intelligence focus, reason, and adapt based on what matters in the moment.---What I Bring to ThisI’ve spent 25 years working at the intersection of complex systems and human needs, from modernizing state credentialing platforms to scaling genomic data systems. I studied civil engineering at Imperial College London and MIT, disciplines that teach how structures bear load, how systems fail, and how to build things that last.Over the past year, I’ve been researching AI architecture, human cognition, and evolutionary biology. I’ve developed frameworks for how biological processing principles might inform more capable and aligned AI systems.That work isn’t ready for academic publication, but it’s too important to keep in a drawer.So, I’m bringing it here to share progress in public, invite critique, and connect with others who are asking similar questions.---What to ExpectThis isn’t a newsletter about AI hype or doom. It’s about architecture, how we build intelligent systems that can actually reason, adapt, and enhance human capability.A critical distinction: I’m focused on AHI (Augmented Human Intelligence) rather than AGI (Artificial General Intelligence). This isn’t just semantic, it’s architectural.The current race toward scaled-up LLMs serves the interests of chip manufacturers and cloud providers more than it serves actual capability advancement. These systems are extraordinary, but they’re now colliding with architectural limits that more compute alone can’t overcome.The alternative isn’t to abandon AI, it’s to rethink it. To build systems designed from the ground up to enhance human judgment rather than replace it. This modular approach combines specialized AI capabilities with human reasoning, attention, and values. It not only produces better outcomes, but it also dramatically lowers infrastructure barriers, making sophisticated AI accessible beyond the handful of organizations that can afford multimillion-dollar training runs.---Here’s what you can expect:The Technical: Deep dives into modular AI architectures, attention mechanisms, and system design. The Philosophical: What we mean by understanding, agency, and value alignment. The Practical: How organizations can implement responsible and effective AI systems today.The through-line is systems thinking: recognizing patterns across scales, understanding how constraints shape solutions, and asking not just “can we build this?” but “should we, and if so, how?”I’ll draw on evolutionary biology, cognitive neuroscience, economics, and infrastructure engineering. If that sounds scattered, I’d argue it’s necessary; intelligence itself is an integration problem.---An InvitationI’m writing for researchers exploring alternatives to pure scaling, for leaders navigating AI implementation, for policymakers crafting sensible regulation, and for anyone curious about building technology that genuinely serves humanity.I don’t have all the answers. But I have frameworks worth testing, questions worth asking, and 25 years of experience building complex systems that actually work.If that sounds interesting, welcome. Let’s explore how to build intelligence, artificial and human, that truly serves understanding.---This newsletter explores how we can move beyond brute compute to create systems that think, adapt, and collaborate with us. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit jamesmaconochie.substack.com