Google's recently released Genie 3 represents a breakthrough in world modeling, but it's actually just one instance of something universal. Every creative and problem-solving domain involves navigating constraint spaces that function as physics. Whether you're writing fiction, debugging code, or composing music, you're doing the same fundamental work as Genie 3: exploring what's possible within a system of constraints.12 August 2025
The dirty secret of AI productivity: when you can think at machine speed, your human brain becomes the bottleneck. We've created intelligence abundance only to discover we have no idea how to handle it — and we desperately need new interfaces for thinking with AI rather than just at it.13 June 2025
Large Language Models can mimic human output with stunning accuracy, but they lack the fundamental ability to reason about relationships and constraints. Instead of adding more parameters or bolting on reasoning capabilities, we need to build logical understanding into their foundations.3 January 2025
Your brain wasn't meant to juggle 47 database constraints at once. Here's how Answer Set Programming turns Firestore's query rules into executable logic.2 January 2025
Skip the theory and see how Answer Set Programming helps you analyze real-world query complexity in systems such as Firestore. Dive in and build tools, not just theorems.4 January 2025
A classic concurrency puzzle illustrating how simple individual actions can lead to complex system-level behavior. Through Answer Set Programming, we explore the interplay between resource management and synchronization.6 January 2025
An exploration of deadlock scenarios in concurrent queue implementations using Answer Set Programming. By modeling thread interactions as logical rules, we discover and analyze potential system failures.8 January 2025
1 January 2025Creativity begins with nothing — or maybe everything — and the first decision turns chaos into context, giving you something to push against. What if the way we think, solve, and discover holds a secret we’ve only just begun to understand?
3 January 2025Creativity doesn’t end with the first decision; that’s simply the spark. The true artistry lies in what comes next: the process of refining, shaping, and understanding. Constraints don’t limit us — they guide us toward clarity, revealing the solutions hidden in the chaos.
5 January 2025Large Language Models can mimic human output with stunning accuracy, but they lack the fundamental ability to reason about relationships and constraints. Instead of adding more parameters or bolting on reasoning capabilities, we need to build logical understanding into their foundations.
7 January 2025Intelligence isn't about absorbing patterns. It emerges from testing boundaries and discovering constraints. Whether physical or abstract, all understanding comes from having something to push against.
2 January 2025Your brain wasn't meant to juggle 47 database constraints at once. Here's how Answer Set Programming turns Firestore's query rules into executable logic.
4 January 2025Skip the theory and see how Answer Set Programming helps you analyze real-world query complexity in systems such as Firestore. Dive in and build tools, not just theorems.
6 January 2025A classic concurrency puzzle illustrating how simple individual actions can lead to complex system-level behavior. Through Answer Set Programming, we explore the interplay between resource management and synchronization.
8 January 2025An exploration of deadlock scenarios in concurrent queue implementations using Answer Set Programming. By modeling thread interactions as logical rules, we discover and analyze potential system failures.
10 January 2025A concurrent programming example using a fixed-size container shared between producers and consumers. Answer Set Programming helps reveal the interplay between concurrent access and resource management.
1 January 2025A practical guide to using Answer Set Programming for real-world software engineering challenges — from finding deadlocks to validating system constraints.
3 January 2025Rules form the core of Logic Programming, enabling the expression of logical relationships between atoms. The fundamental syntax and semantics of ASP rules define what must be true given certain conditions.
4 January 2025Variables in ASP allow rules to express general patterns rather than just specific instances, enabling more powerful and reusable logic programs. Variables work as placeholders that match terms, expanding the expressivity of predicates.
5 January 2025Introducing integers and arithmetic operations into ASP, expanding our logical toolset beyond simple atoms to handle numerical computations and comparisons.
12 August 2025Google's recently released Genie 3 represents a breakthrough in world modeling, but it's actually just one instance of something universal. Every creative and problem-solving domain involves navigating constraint spaces that function as physics. Whether you're writing fiction, debugging code, or composing music, you're doing the same fundamental work as Genie 3: exploring what's possible within a system of constraints.
13 June 2025The dirty secret of AI productivity: when you can think at machine speed, your human brain becomes the bottleneck. We've created intelligence abundance only to discover we have no idea how to handle it — and we desperately need new interfaces for thinking with AI rather than just at it.
9 June 2025Software development's biggest failures stem from critical design decisions being made invisibly by individual developers during implementation, rather than systematically surfacing these constraint discoveries during specification when business context is available and changes are cheap.
22 February 2025Surface Tension reveals how problems are solved by pushing against constraints. From coding to creative writing, constraints are the universal pattern underlying all problem-solving and innovation — this is where we make that pattern visible and actionable.
21 February 2025Surface Tension and CharmIQ exist in a recursive embrace — each made possible by the other's existence. Together they demonstrate how constraints create possibility and how cognitive partnership amplifies human capability, transforming how we think about both software development and AI collaboration.
