Tag Archives: newsletter

Subscribe • Previous Issues What mathematicians figured out about AI that most enterprises haven’t Recent results suggest that research mathematics is no longer a purely speculative test case for AI. A growing set of examples shows AI contributing not just to short contest puzzles, but to open-ended mathematical work that requires literature search, cross-domain connection-making, revision, andContinue reading “Generation is cheap. Evaluation is everything.”

Subscribe • Previous Issues The Missing Layer: Why Your AI Agent Fails — and What Actually Fixes It As organizations move autonomous AI agents from experimental sandboxes into live production, a critical bottleneck has emerged. Foundation models are remarkably capable but structurally unsuited to complex, multi-step work on their own. They have no persistent memory, no built-inContinue reading “Stop tweaking your AI models. Do this instead.”

Subscribe • Previous Issues What Is An AI Delegate? OpenClaw arrived with little fanfare and quickly became the fastest growing open source AI project on record. At its core, OpenClaw is a personal autonomous agent framework. It is software that connects a large language model to your email, calendar, file system, messaging apps, and external APIs, thenContinue reading “Shadow IT is back, and this time it has admin access”

Subscribe • Previous Issues The AI Visibility Playbook: Surviving the Shift from Search to Synthesis More people are turning to AI chatbots instead of traditional search engines to find information online. Even Google now displays an AI Overview at the top of many search results to summarize answers directly. When search engines ruled the internet, search engineContinue reading “AI is describing your competitors better than you. Here’s why.”

Subscribe • Previous Issues Why Your AI Agents Need Engineering Instead of Best Practices I remain optimistic about the impact agents will have on knowledge work. As I noted in an earlier article, fields shaped by clear rules and mature systems, including accounting and contract management, already look well suited to this kind of automation. But evenContinue reading “Why smarter agent architecture does not always improve results”

Subscribe • Previous Issues The Agentic Sweet Spot: Where AI Moves Fast and Humans Stay in the Loop A recent Anthropic study on agent autonomy offers a clear preview of where knowledge work is headed. Anthropic analyzed millions of real interactions across their public API and Claude Code to see how people actually deploy autonomous systems. TheContinue reading “When AI does the junior work, how do we train seniors?”

Subscribe • Previous Issues How Teams Actually Use RL to Make Agents Reliable I have had a longstanding fascination with reinforcement learning (RL) and have monitored its slow diffusion from research labs into enterprise production. Much of the recent activity remains concentrated among foundation model builders and teams with dedicated post-training capacity. They use RL after pre-trainingContinue reading “8 domains where AI agents are actually working”

Subscribe • Previous Issues The Honeymoon Phase Won’t Last: Preparing for AI’s Platform Shift I am old enough to remember the early days of the internet. It was a time when blogs were everywhere and information felt decentralized. Before the giant platforms and their algorithms, the web felt like a collection of independent voices. We had chronologicalContinue reading “The warning signs your AI vendor is becoming your cage”

Subscribe • Previous Issues The Industrialization of Synthetic Data Synthetic data used to be a fairly narrow idea: pad a small dataset, test a model without touching production data, maybe stress a system for bias. The rise of generative AI and autonomous agents has changed the landscape. Teams use synthetic data to train and evaluate agentic systems,Continue reading “AI agents just made your data pipeline obsolete”