When your workforce becomes the training data
Staff using AI at work are training the systems that may replace them. Why the bargain deserves daylight and what workers and employers should do now.
Staff using AI at work are training the systems that may replace them. Why the bargain deserves daylight and what workers and employers should do now.
Investors price AI data centres like apartment buildings full of GPUs. Here is the landlord logic, where it leaks, and how to build so you can switch.
Forget the GPT vs Claude debate. The businesses winning with AI documented how they work first — institutional knowledge is the real competitive moat.
Speaking is three times faster than typing, and GPT-Live's full-duplex voice finally keeps up — how to make voice input your default way to prompt AI.
AI can ace one task and fail the next. Here's why the interview heuristic misleads you, and how to map your jagged frontier before trusting the tools.
I backed servant leadership in 2010 and I still do. But "How can I help?" needs a boundary, or helping ends up meaning you own someone else's problem.
Ten articles on Gerber's E-Myth, condensed into one practical read: capability maps, role specifications, governance, and why founders now stay close.
1,300 people found faults in a real Monet because they were asked to find them. Why asking for feedback often creates the problems it seems to reveal.
Prompt engineering had its moment. Context engineering — giving AI the right information rather than cleverer wording — is the skill that matters now.
A court just ruled AI shopping agents are legally their users. Whether agents can buy from your site is now a product decision, so make it on purpose.