Every morning, many people open a news app and receive the same package of information: wars, politics, disasters, celebrity drama, and financial panic—all competing for attention.
I stopped ingesting news.
I prefer to look for signals.
A signal is information that matters because it touches your life.
For me, that might mean train disruptions, power or internet outages, a major local event likely to make services busy, a Spanish lesson for the day, or something changing in my neighbourhood. AI helps me sift through a huge amount of information and bring forward the pieces that are actually relevant.
Information should begin with the person
Traditional news usually moves from the outside in. A major global event is presented first, and the reader has to work out whether it matters to them.
A signal feed works the other way around.
It begins with questions such as:
- What changed in my daily life?
- What could affect my plans today?
- Are there any disruptions, outages, or events I should know about?
- What larger system explains the change?
The information grows outward like ripples in water:
- My neighbourhood
- My city
- My region
- My country
- My continent
- The world
Distant events still matter. But relevance is what creates the bridge to understanding.
AI as a personal filter
The useful role of AI is not to decide what I should think. It is to reduce the noise.
Instead of asking, “What happened in the world today?” I can ask:
- Are there any train disruptions today that could affect my plans?
- Are there power, internet, or water outages nearby?
- Is there a concert, festival, match, or public event that will make transport, shops, or services unusually busy?
- What is one useful Spanish phrase I can learn today?
- Is there anything changing locally that I should know about?
That makes AI a personal research assistant: something that watches for change, explains context, and helps connect everyday life to the systems around us.
The answer should not be a vague summary. It should show where the information came from, so I can check the official train operator, local council, utility company, or event organiser when it matters.
Different lives need different signals
A useful signal feed should not look the same for everyone.
For a retired person, the most useful signals may be healthcare access, local transport, cost-of-living changes, service disruptions, community events, and whether places will be unusually busy.
For a college student, the signals may be housing costs, grants, deadlines, part-time work, campus events, public transport, and career opportunities.
For a parent, it may be school schedules, childcare, health guidance, road closures, and changes in the local area.
For autistic people, useful signals may include planned fireworks, festivals, construction work, crowded events, transport disruption, or changes to familiar routines. Knowing about these in advance can make it easier to plan, avoid sensory overload, or choose a quieter alternative.
This is not about treating autism as a problem to solve. It is about making information work for the person receiving it.
The point is not to create a perfect bubble. It is to begin with the things that genuinely shape a person’s day, then use them as a route into the wider world.
Understanding, not overwhelm
Imagine someone plans to take the train into town. A service disruption means they leave earlier, take a different route, or postpone the trip.
That is a signal.
From there, they can understand how transport networks work, why disruption happens, how weather or infrastructure affects a city, and what alternatives are available. The wider system becomes understandable because it has connected to something real.
The goal is not to know everything.
It is to understand the forces that are actually shaping your life.
In a world overflowing with information, relevance may be the most valuable filter of all.
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