Research & Systems Publications
In-depth analysis and technical briefs on AI infrastructure, data sovereignty, security vulnerabilities, synthetic data pipelines, and agentic systems.
The Kill Switch Era: Why We're Going Local-First on AI
In June 2026 the U.S. forced Anthropic to pull Claude Fable 5 and Mythos 5 worldwide and limited OpenAI's GPT-5.6 to government-approved partners. With frontier-model access now governed by trade policy, here's why As Foretold Research Labs is doubling down on local, open-weight LLMs, backed by 34 sources.
Pax Silica Should Be a Green City, Not Just an AI Zone
A conditional argument for Pax Silica: if the Philippines hosts AI and semiconductor infrastructure, it should demand a green-tech city that captures local value, protects communities, and remains under Philippine control.
The Canvas Breach Is a Warning: Why EdTech Platforms Are Soft Targets
The 2026 ShinyHunters breach of Instructure's Canvas exposed around 275 million records across nearly 9,000 institutions, the largest education data breach on record. Here is why LMS platforms are soft targets and what it means for handling sensitive data. Backed by 26 sources.
When Seeing Stops Being Believing: AI Imagery, OSINT, and the 2026 Information War
AI-generated images and video have gotten good enough to reliably deceive, and the 2026 US-Israel-Iran information war proved it. Here is how synthetic media breaks OSINT verification, and how we operate when seeing is no longer believing. Backed by 30 sources.
Why We Build Digital Twins on Godot, Not Unreal
At As Foretold Research Labs, our synthetic data and digital twin pipelines run on Godot, not Unreal. Here is the structural case (MIT licensing, scriptability, headless automation, and zero royalties) for why raw fidelity is the wrong thing to optimize. Backed by 31 sources.