The Temporal Compression Gap Notes on what might be missing from how we build AI — March 2026 I've been sitting with a question for a while now. After a few years of building with AI, studying the architecture, watching the industry — I think most people get something wrong…
A methodology for maintaining architectural control when AI agents build your software. GitHub: https://github.com/vanis14/declarative-system-spec/ There's a failure mode in AI-assisted development that nobody talks about enough, probably because it's boring. It's not hallucination. It's not wrong code. It&…
An exploration of whether the AI industry's obsession with clean data might be optimizing for the wrong thing. The AI industry might have a cleanliness problem. Not the kind you'd expect—not messy codebases or disorganized research. The problem is that we might be too clean.…
What happens when the websites your AI assistant reads are quietly working against you? The Short Version If you use AI tools with web search or document reading capabilities—Claude, ChatGPT, Copilot, or any of the growing ecosystem of AI agents—there's a class of attack you should…
The landscape of AI fine-tuning has evolved dramatically with QLoRA making training accessible on consumer hardware. Training that once required massive computational resources now runs in hours on a single GPU. Yet the workflow around fine-tuning remains largely unchanged - we still spend weeks preparing datasets before we can even…
What if, in our quest to build artificial human intelligence, we accidentally stumbled upon something else entirely? What if the remarkable success of transformer models suggests that crows might have had the right idea all along? The Great Misdirection Picture this: For decades, AI researchers have been proudly describing their…
The AI industry has long been captivated by the idea of self-improving systems. Traditional approaches have focused on knowledge augmentation and information feedback loops—essentially teaching AI to learn from its experiences and expand its knowledge base. But what if there's a more powerful paradigm waiting to be…
The AI landscape has become increasingly polarized between open and closed-source models. But what if we're missing a crucial middle ground? As I watched the recent developments in AI deployment and distribution, I couldn't help but notice a peculiar gap in our approach – one that the…