05.24.2026—Promptology
Promptology: The New Discipline
How communicating with frontier models shifted from interactive chat messages to the core technical infrastructure and operational system language of modern enterprises.
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Материалы с тегом#risk
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05.24.2026—Promptology
The Turkish Prompt Tax: AI's Hidden Inflation
Why writing prompt logic in Turkish inflates token usage, increases execution latencies, and reduces the effective size of your model's context window.
05.24.2026—Promptology
Bad Prompts as an Operational Risk
Why vague and poorly constrained prompt structures create brand compliance failures, data leaks, and critical technical debt.
05.24.2026—Promptology
Beyond Vibe Coding: Prompt Discipline
Why generating software systems purely via natural language prompting creates architectural debt, and how to implement code safety constraints.
05.20.2026—Strategy
I’ve Been to Every Builder Club, Accelerator, Pitch Day and Demo Day — And I’ve Realized Something No One Wants to Say Out Loud
I’ve sat in the back row of countless pitch days. Yet the uncomfortable truth is this: almost no one actually cares what you build.
05.23.2026—VC
The Center of Gravity: Hyperscale Monopolies and Sovereign Escapes
AI funding has reached unprecedented concentration. How to construct a sovereign center of gravity using private GPU clusters and open-weight models.
05.24.2026—Strategy
The Human Premium: Taste and Defensibility Under Commodity Intelligence
As code generation cost drops to zero, deliverables are commoditized. The premium is paid to the human who signs the contract and assumes liability.
05.25.2026—Regulatory
Into the 80s or 30s: The Great Technical Regression and Infrastructure Sovereignty
Faced with massive compliance liabilities, software teams are retreating from public cloud dependencies to offline-first local networks.
05.27.2026—Strategy
The Asian AI Grid: Decoupling Compute Pipelines from Western Hyperscalers
Faced with geopolitical API blockades and data sovereignty risks, Asian tech hubs are building decentralized inference meshes using custom optical routing and local open-weight models.
05.27.2026—Engineering
Japanese AI: The Silent Shift to Embedded Localism and Hardware-Level Agency
Japan's industrial landscape is rejecting cloud-dependent models, prioritizing local, low-power edge LLMs running directly on hardware chips to preserve proprietary manufacturing secrets.