Section
Industry
The economics, strategy and regulation of generative AI: who is spending, who is winning and why.
9 stories
Analysis
What thousands of AI research agents contribute to a science project
Distributed biology agents widen analysis of existing experiments. Their economic value depends on data preparation, expert review and the next experiment.
Analysis
TorchNeuron makes the AI chip contest a software story
Native PyTorch support lowers a barrier to Trainium, while compilation, fallback and workload shape determine how much of that promise reaches production.
Comparison
Top AI governance tools in 2026: nine platforms, two different jobs
Nine AI governance tools ranked for October 2026, split into runtime enforcement that controls AI traffic and GRC platforms that inventory and document it.
Explainer
AI governance framework: the definitive guide, from NIST and ISO to runtime
How to build an AI governance framework in 2026: NIST, ISO/IEC 42001 and the EU AI Act after the Omnibus, a crosswalk, RACI, risk tiers, policy outlines, agent and MCP controls, metrics and a 90-day plan.
Explainer
What are System One models, and will the category outlast Jev?
TypeSafe coined the term for models that return typed, probability-weighted decisions instead of text. Where the name comes from, how the mechanism differs, and what the economics mean.
Comparison
Top 10 managed agent orchestration platforms for enterprises in 2026
AgentCore, Foundry, Google's Agent Platform, LangSmith, Agentforce, ServiceNow and four more ranked on runtime, identity, memory, MCP and A2A, lock-in, audit, pricing and data residency.
Editorial
Benchmarks became a marketing channel. Read the footnotes, then run your own
Launch tables report the same benchmark under different attempts, tools and thinking budgets. How measurement became collateral, what independent evaluators find, and how to run your own.
Explainer
The real cost of an AI product, line by line: tokens are rarely the biggest line
A sourced ledger of what a production AI feature costs in September 2026: inference, retrieval, agents, evaluation, gateways, review and people, with a worked monthly model at three volumes.
Analysis
Shadow AI: why blocking fails and what actually governs it
Shadow AI now reaches desktop apps, coding agents and local MCP servers that network blocks never see. What the breach data shows, what regulators expect, and the control model that works.
