Tag Archives: newsletter

Subscribe • Previous Issues The Next Generation of AI Agents: Large Action Models Explained As AI agents become commonplace in enterprise workflows, teams are discovering the limitations of building task-specific automated systems from scratch. Large Action Models (LAMs) represent the foundational layer that transforms how we build agents—providing the general-purpose perception, planning, and execution capabilities that individualContinue reading “From tool-chaining to true agentic systems”

Compound Interest: AI’s Invisible Impact on Productivity and Jobs I’ve learned to tune out the “Are we there yet?” chorus that follows every AI model release. While Twitter debates rage about AGI timelines, something more interesting is happening in the trenches: current foundation models are quietly revolutionizing how knowledge work gets done. My own workflowContinue reading “AI Is Quietly Rewriting Work—Here’s What You Need to Know”

Subscribe • Previous Issues Beyond the Lab: Performance Engineering for Production AI Systems The conversation around AI has shifted from whether to adopt the technology to how to make it economically viable at production scale. In previous articles, I’ve covered the strategic playbooks for AI adoption and evaluation frameworks that define success. However, a critical gap persistsContinue reading “Before you scale your AI, read this”

Subscribe • Previous Issues A DeepMind veteran on the future of AI and quantum Quantum computing has always felt just over the horizon, so I’ve only tracked its progress from a distance. But that horizon is suddenly much closer: prototype machines with around 100 logical qubits are already tackling niche but valuable AI workloads, and startups areContinue reading “Superposition Meets Production—A Guide for AI Engineers”

Subscribe • Previous Issues The Complete Guide to AI Evaluation In the context of AI applications, “eval” means systematically assessing the quality, reliability, and business impact of AI-generated outputs—from text and code to complex agent decisions. In my recent AI playbook, I argued that a robust evaluation framework is not just a best practice but proprietary intellectualContinue reading “Quick Wins for your AI eval strategy”

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”

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”

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”

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”

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”