A new framework for AI knowledge work

Subscribe • Previous Issues The Knowledge Work Agent Ecosystem Recent coverage about the impact of AI on jobs has rightfully focused on coding and software development, since AI tools in these areas continue to make tremendous progress, and foundation model builders often track their progress through solving programming and mathematical problems. We also hear a lot aboutContinue reading “A new framework for AI knowledge work”

Your AI playbook for the rest of 2025

Subscribe • Previous Issues Mid-2025 AI Update: What’s Actually Working in Enterprise As we cross the midpoint of 2025, the conversation around AI is shifting from potential to practice. While the race to build the next frontier model dominates headlines, the more critical story is one of diffusion—how this technology is actually being woven into the fabricContinue reading “Your AI playbook for the rest of 2025”

How to future-proof your AI governance strategy

Subscribe • Previous Issues Is Your AI Ready for the Next Wave of Governance? As artificial intelligence seeps into everything from triage decisions in hospitals to the way capital is allocated on Wall Street, the question is less whether we should govern AI than how quickly we can build guard-rails that keep pace with the underlying technology.Continue reading “How to future-proof your AI governance strategy”

Building better AI agents, for less

Subscribe • Previous Issues From Monoliths to Specialists: The New Era of AI In a previous analysis, I examined how a company could build a highly effective AI application for writing database queries without any fine-tuning, relying instead on semantic catalogs and validation loops to mirror how experienced analysts write SQL. This approach worked exceptionally well forContinue reading “Building better AI agents, for less”

Unlock Signals in Noisy Markets: Finance Meets Foundation Models

Subscribe • Previous Issues How Two Sigma & Nubank Rewire Finance with Foundation Models Financial services has always been my bellwether for how new technologies are rolled out, and generative AI is the latest example. My own stint as a quant at a hedge fund many years ago has kept me interested in the intersection of financeContinue reading “Unlock Signals in Noisy Markets: Finance Meets Foundation Models”

New Threat Vector: Prompt Injection at the Raw Signal Level

Subscribe • Previous Issues The Enterprise Guide to Voice AI Threat Modeling and Defense Voice interfaces have become a routine feature of modern life, from home assistants to automotive controls and automated customer service. Yet, within the AI community, the focus on large language and visual models has overshadowed the field of voice. In my experience, forContinue reading “New Threat Vector: Prompt Injection at the Raw Signal Level”

“Massive Scrum” of Models: New Data on China’s AI Gold Rush

Subscribe • Previous Issues Inside China’s AI Registry China’s Cyberspace Administration (CAC) maintains the world’s only comprehensive, publicly accessible registry of generative AI tools (GAT). Every public-facing generative AI service—whether text, image, audio, video, or multimodal—must register before deployment. In April, Trivium posted an Excel file that lists all the GATs in this registry. The Excel fileContinue reading ““Massive Scrum” of Models: New Data on China’s AI Gold Rush”

The “boring” truth about successful AI

Subscribe • Previous Issues From Demos to Dollars: Quiet Engineering, Big Commercial Pay-offs Deploying generative AI systems is an engineering discipline rather than a science project. Foundation models and novel prototypes win headlines, but the commercial race will be decided in the production trenches—where reliability, cost, and governance matter more than benchmark scores. These infrastructure shifts areContinue reading “The “boring” truth about successful AI”

RAG Reimagined: 5 Breakthroughs You Should Know

Subscribe • Previous Issues RAG’s Next Chapter: Agentic, Multimodal, and System-Optimized AI While autonomous agents and large-scale reasoning models are currently attracting significant attention and investment, I find that Retrieval-Augmented Generation (RAG) and its variants remain foundational to building practical, knowledge-intensive AI applications. The RAG space isn’t static; it’s continually evolving, offering compelling solutions for real-world AIContinue reading “RAG Reimagined: 5 Breakthroughs You Should Know”

Why AI Efficiency Outruns Hardware Shortages

Subscribe • Previous Issues Time Bought, Advantage Lost? The Limits of Semiconductor Sanctions The technological and economic competition between the United States and China has increasingly centered on AI capabilities, with semiconductor access becoming the critical battleground. Since 2022, these export controls have evolved from targeted restrictions to a complex regulatory regime with far-reaching implications. I haveContinue reading “Why AI Efficiency Outruns Hardware Shortages”