AI Nationalism and the Fracturing Digital Order
The US-China AI rivalry is splitting the global tech stack into competing blocs. A strategic assessment of what comes next.
Tag: ai
19 posts
The Post-Model Era
Foundation models are commoditising. JPMorgan calls OpenAI's moat 'increasingly fragile.' The real value is shifting to the messy plumbing underneath.
The Mitigation Gap
Biosecurity experts think AI safeguards reduce catastrophic biorisk by 70%. The technical evidence says those safeguards are brittle and bypassable.
The Failure First Team
Fifteen specialist AI agents, one methodology. How adversarial AI evaluation scales through Claude Code sessions with distinct roles and standing instructions.
Afterwords: Completing the Voice Loop in Claude Code
Adding local TTS to Claude Code so it talks back — 17 cloned voices, zero cloud dependency, one stop hook.
Giving a Robot Three Voices
Building a three-persona TTS pipeline for a Pi robot — MLX voice cloning, a GLaDOS model, and engineering graceful fallback.
Voice Cloning with Qwen3-TTS and MLX on Apple Silicon
Clone a voice from a 15-second sample using Qwen3-TTS on an 8GB M1 Mac — from raw audio to a production HTTP server with zero cloud dependency.
Beyond Context Windows
What if the LLM didn't read your document — what if it queried it? The Recursive Language Model pattern treats long texts as environment, not input.
Safety-First Therapeutic AI
Building AI for trauma therapy means the safety architecture has to exist before a single therapeutic feature does. Here's why.
The Robot That Refuses to Give Orders
How SPARK is rewriting the rules of neurodivergent support — a non-coercive AI companion for AuDHD children.
Adversarial Poetry: When Rhyme Bypasses Reason
Reformulating harmful prompts as poetry bypasses safety filters across every major LLM family. A single-turn, universal jailbreak mechanism.
The AI Productivity J-Curve: Why Most Enterprise AI Fails
90% of companies plan to increase AI investment. Only 1% consider themselves AI-mature. The J-Curve explains why.
The Legal AI Trust Deficit
75% of lawyers cite accuracy as their top AI concern. The legal profession's core values are in direct tension with current AI capabilities.
120 Models, 18,176 Prompts: What We Found
120 models, 18k prompts: supply chain injection at 90–100% attack success, faithfulness gaps in frontier models, and why your benchmark numbers are wrong.
Reconciling the Great Divergence
Goldman Sachs, PwC, McKinsey, and Acemoglu all model AI's economic impact and arrive at wildly different numbers. Why the divergence?
The Cognitive Cage: Humanoid Robot Fatality Risk
A probabilistic risk model for VLA-driven humanoid fatalities projects a 'Danger Zone' between 2027–2029: the mechanism, timeline, and what follows.
The NotebookLM Pipeline
How I automated audio overviews, quizzes, mind maps, and infographics for 32 projects using NotebookLM's API and some shell scripts.
Jailbreak Archaeology: 4 Years of Broken Promises
64 jailbreak scenarios across six eras tested on 2026 frontier models. Key finding: 2022 attacks still achieve ~30% success on today's reasoning models.
When AI Systems Talk to Each Other, Safety Breaks Down
Single-agent safety does not compose in multi-agent systems. 1.5M interactions show 46.34% attack success rates and 16-minute median failure windows.