Artificial Intuition
The improbable deep learning revolution — how machines arrived at intuition, grasping patterns they were never explicitly taught to derive.
Books, pattern languages and field guides on deep learning, generative AI and agentic systems — published through Gumroad. Several are pay-what-you-want, so you can read first and decide what it was worth.
The improbable deep learning revolution — how machines arrived at intuition, grasping patterns they were never explicitly taught to derive.
A roadmap for human-aligned artificial general intelligence, where empathy — not raw optimisation — is the coordinate most designs leave out.
Large language models read through the lens of language as a living process rather than a fixed code to be executed.
A self-generating GPT-4 blueprint: a pattern language for designing and building with generative models.
Long-horizon thinking with ChatGPT o1-pro — patterns for getting sustained reasoning out of large reasoning models.
Patterns for developing autonomous, intentional agents that act with purpose rather than react a prompt at a time.
Patterns for structuring, composing and governing the skills that instruct large language models — mined from open-source and industry practice.
Align formal notations and domain-specific languages to the way models actually reason, instead of fighting their biases.
The core theory in book form: process-oriented thinking on a twelve-cell space — the foundation the rest of this site is built on.
A QPT approach to consciousness: mind as an inherently underspecified process to be navigated, not a problem to be finally solved.
Strategy, methodology and patterns for putting deep learning to work — the field guide behind the pattern-language lineage.
A generative pattern language for finding and capturing value where reality shifts faster than prices, rules and business models can adjust.
What enterprise leaders get wrong about AI: generating content is cheap, verifying it is not — and that asymmetry is the whole game.
A field guide to the coming phase transition — how to read, and stay ahead of, an accelerating AI singularity.
Design engagements build the architecture for a specific organisation. Diagnostic engagements establish which of its loops actually close, which of its claims reach evidence, and which of its standing rules no longer have an owner.