Category: AI

  • AI Models and the Training Data Copyright in 2026

    AI Models and the Training Data Copyright in 2026

    ~ 5 MIN READ

    The AI model and the training data copyright has become the question the lawyer has been quietly trying to answer, the question the enterprise has been quietly trying to ignore, the question the next settlement will land on.

  • Your AI Agent Has a Memory. Now You Have a Data Retention Problem.

    Your AI Agent Has a Memory. Now You Have a Data Retention Problem.

    ~ 5 MIN READ

    Persistent memory makes AI agents more useful because they can remember projects, preferences, decisions, credentials and previous conversations. It also creates a growing archive of sensitive information that may be inaccurate, outdated, exposed to other agents or retained far longer than intended.

  • The 100x Developer Myth: The Agent Is Not Doing the Clever Part

    The 100x Developer Myth: The Agent Is Not Doing the Clever Part

    ~ 5 MIN READ

    Videos regularly show developers producing software at astonishing speed with coding agents. The impression is that the AI has suddenly become a world class engineer. In reality, the strongest developers have built disciplined systems around the agent.

  • MCP Is the USB Port of AI. Be Careful What You Plug In.

    MCP Is the USB Port of AI. Be Careful What You Plug In.

    ~ 5 MIN READ

    Model Context Protocol, the standard Anthropic published in late 2024, has become the de facto way for agents to talk to the rest of the software stack. The convenience is real. So is the new attack surface.

  • Your AI Agent Is Not an Employee. Stop Giving It Employee Access.

    Your AI Agent Is Not an Employee. Stop Giving It Employee Access.

    ~ 5 MIN READ

    Businesses are handing email accounts, terminals, GitHub access and payment permissions to AI agents that hallucinate, get prompt injected and follow anyone who knows the right words. An agent is not an employee. It is an untrusted service account, and it should be treated like one.

  • The Hidden Cost of ‘Free’ AI APIs

    The Hidden Cost of ‘Free’ AI APIs

    ~ 5 MIN READ

    Every AI API has a free tier. The free tier is the most expensive part of the product, because the moment you build on it, you are locked in to a pricing curve you did not agree to.

  • After the Hype: Which Open Models Are Actually Good For Something

    After the Hype: Which Open Models Are Actually Good For Something

    ~ 5 MIN READ

    Five open weight model families worth running in 2026, what each is actually good at, what it costs on a Mac mini or a rented H100, and what is still mostly demo ware.

  • AI-Generated Code Is Now in Your Production Stack. Here’s How to Review It.

    AI-Generated Code Is Now in Your Production Stack. Here’s How to Review It.

    ~ 5 MIN READ

    The useful question is no longer whether developers should use AI-generated code. They already do. The question is whether teams review it with the same discipline they would apply to code written by an unfamiliar contractor.

  • AI Models and Data Leakage in 2026

    AI Models and Data Leakage in 2026

    ~ 5 MIN READ

    Every model that trains on your data remembers more of it than the provider’s privacy page suggests. The leakage problem is not the model’s fault. It sits in the prompts people send, the data they upload, the sessions they never close, the retention the vendor keeps for abuse monitoring.

  • Why Most AI Agents Aren’t Actually Agents

    Why Most AI Agents Aren’t Actually Agents

    ~ 5 MIN READ

    Every vendor with a generative AI product is calling it an agent. Most of them are not. Calling a workflow an agent is a marketing choice, and the difference matters.