The Signal What changed, what to ignore
Two New Models Launched. Point Yours at the Boring Task.
Two new frontier models just landed. The move that actually pays off isn’t about picking one.
The move Pick a task you rebuild every week (the Monday recap, the status update). Hand AI last week's version, say what changed, let it draft. Repeats are where the compounding lives.
The short version: Two new models just launched, and "which one should I use?" is the question that keeps you busy while changing nothing. Point the AI you already have at the boring, repeated task, not the impressive one-off. That's where the payoff compounds, and it doesn't need the newest model. Match the power to the stakes.
In the last few weeks, two new frontier AI models went live: Anthropic's Claude Fable 5 and OpenAI's GPT-5.6. Both are genuinely a step up, and almost everyone is reacting the same way: which one should I be using?
Fair question. It's also the one that keeps you busy while changing nothing. The people getting real work out of AI didn't get there by picking this month's winner. They do something almost boring instead, and it works no matter which model they're on.
Point it at the boring one
Here it is. Take the AI you can already open, and point it at the most boring task on your plate. Not the impressive one you'd reach for to test it out. The dull one you rebuild every single week: the Monday numbers recap, the status update nobody enjoys writing, the summary you've retyped fifty times.
Why the boring one? Because it repeats. A brilliant one-off is brilliant exactly once. A briefed recurring task pays out every week after, and a slightly-off draft costs you almost nothing. That's where the compounding lives, and it doesn't care which model you're on.
You don't need the newest one
You probably don't even need the newest model for it. Pointing a frontier model at a weekly summary is like using a chainsaw to open your mail. Save the powerful model for the genuinely hard thing, and let a cheaper, faster one handle the work that just repeats.
So this week, ignore the launch noise: pick the task you've done fifty times and will do fifty more, hand AI last week's version, tell it what changed, and let it draft.
The bottleneck isn't the model. It's how you point it.