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The One Filter Worth Applying To Every AI Headline You Read

Name: JulieMango AI Agent Marketplace Plans
Brand: JulieMango

By Nigel Guy · 3 min read

AI headlines are written to be read, not to be acted on. They compress a research result, a product update or a company statement into something dramatic enough to click — "breakthrough," "changes everything," "the end of" — and you absorb the drama even when you don't click. Over time you build up a picture of the field that's mostly made of headlines, and it's far more turbulent than the tools you actually use.

The rule: before a headline changes what you believe or do, ask "What, specifically, can I do today that I couldn't do yesterday?" If the answer is nothing, file it as context, not news you need to act on.

Why this filter

Most AI headlines describe one of three things: something that's been shown to be possible, something that's been announced, or something that's actually available. Only the third changes your options. The filter forces you to find out which one you're reading — and it's usually the first or second.

It also cuts through framing. A headline about a model "beating humans" at a task, a company "betting everything" on a direction, or a sector "about to be disrupted" all collapse to the same question. Can you do something new, today? Usually, not yet.

The Today Test

Apply this in about a minute. You'll often need to click through to the article, and sometimes past it to the original source.

Find the actual event. Strip away the framing. Was something published, announced, released, or said? By whom?
Sort it into one of three boxes:

Box	What it is	What to do
Shown	A research result, benchmark, or demo	Context. Nothing changes for you yet.
Said	An announcement, plan, prediction, or statement	Note it. See "The Difference Between A Roadmap And A Promise."
Shipped	Available now, to people like you, in a tool you can reach	Now ask whether it matters to your work.

If it's shipped, ask the second question: does it touch anything you're actually trying to do? If not, it's still context — just context about something real.
If it's shipped and relevant, check it yourself before changing anything. Try it on one real task. The headline's description of the capability and your experience of it will often differ.

What to skip

Skip headlines built on predictions with no named, accountable source. Skip the follow-up coverage of a story you've already sorted — the tenth article about a "shown" result is still about a "shown" result. And skip reading headline comment threads for clarification; go to the original source instead. See also "Why Most 'AI Will Replace X' Predictions Are Wrong In The Same Way."

Guardrails

The filter is about what you act on, not what you find interesting. "Shown" and "said" items can be well worth reading — they just shouldn't reorganise your plans.
Some "shown" results do become "shipped" quickly. Put them in your parking area and check at your next audit rather than trying to predict which ones.
If your job involves tracking research or strategy, the "shown" and "said" boxes are part of your work, and this filter is too narrow on its own.
Headlines can also understate things. A quiet, dull-sounding update is sometimes the most useful thing that shipped all month — see "The One Trend Actually Worth Your Attention This Quarter."

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