Hyacehila's Blog

Enterprise AI gets hard after the model is connected: a task still needs clear handoffs, acceptance criteria, exception handling, and accountability before it becomes repeatable value.

Anthropic’s latest Economic Index does not show how many jobs AI has replaced. It shows how work is first changing from chat and assistance into deliverables and deeper task delegation.

A reading note on AI application startups: begin with outsourced, rule-bound work and sell the outcome, not merely a smarter tool.

From conversational characters and world-aware NPCs to worlds that continue evolving after the player leaves, AI is becoming part of gameplay itself. This essay explores what AI-native games can offer players, and how memory, emergence, and generative freedom must remain grounded in game design.

Coding agents make code and prototypes cheap, shifting the scarce resources of software development toward judgment, verification, coordination, learning, and responsibility.

The capabilities that make agents useful also make them difficult to evaluate. The strategies that work across deployments combine techniques to match the complexity of the systems they measure.

World models matter less as beautiful video generators than as internal simulators for agents. This post compares the main routes, explains why JEPA is appealing, and revisits Critique of World Model and PAN.

A retrieval-oriented view of production OCR: structuring and enriching text, sections, formulas, images, and tables, followed by a comparison of the MinerU 3.4 framework and Unlimited OCR’s long-document model approach.

Notes on SFT synthetic data engineering, starting from NVIDIA’s Terminal-Corpus and connecting it to classic and recent work on instruction synthesis, taxonomy-driven generation, executable tasks, and curation pipelines.

Werner Vogels’ final re:Invent keynote framed the AI-era developer as a Renaissance Developer: curious, systemic, communicative, responsible, and polymathic.