Your AI-built prototype becomes a liability the day it holds real customer data

A study of 159,041 Lovable apps found customer records open to anyone. The builder's work is cheap now, but the review and the legal responsibility still sit with you.

A ban on AI agents is a statement about your margins

United now bars unauthorized personal AI agents from booking flights. Block, license or build is a pricing decision, and the answer depends on where your margin comes from.

Be more ambitious with software, but only where you can prove it works

Building software got cheap enough to justify projects you once rejected. What should decide which ones you fund now is whether you can prove the result is right.

Your coding agent now takes instructions from your software vendors

A desktop app updated itself and wrote startup instructions into its users' Codex and Claude Code. Agent configuration is now a procurement and governance question.

DoorDash is paying $17 billion for the part of Instacart an AI agent can't skip

Instacart's app is the layer shoppers will hand to software. The deal prices what stays scarce, and gives any business that sells through an interface a test to run.

Microsoft is trading payroll for compute. Anthropic's S-1 is the other side of the trade

Microsoft is offering buyouts to 60,000 people as Anthropic's S-1 shows revenue up fourteenfold. What the two filings say together about payroll, vendors and who owns the customer.

Your best AI use case may not need a frontier model

A ten-year-old neural network beat GPT-6 and Claude at spotting skin cancer. What the result says about where a general-purpose model belongs on your AI roadmap.

The open-weight model that was trained to know less about security

Kimi K3.1 removed cyber data from training before release and published the score it cost. Why open weights no longer mean unrestricted, and what to ask a model vendor now.

LiteLLM was compromised twice in seven months. Here is what that means for your AI strategy

A compromised LiteLLM release spent about two hours on PyPI this week. It shows why the box you built for AI governance is also your most valuable target.

Nobody has benchmarked AI on 90% of the work your company does

Public AI benchmarks cover the work that is cheap to grade, not the work that pays your bills. Why the unmeasured majority is where private evidence becomes an advantage.